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  1. Revolutionizing Data Infrastructure for AI with WEKA

    Storage software running on modern hardware can deliver incredible performance and capability to support AI applications. This episode of Utilizing Tech wraps up our season with a discussion of WEKA’s data platform for AI with Alan McSeveney, Scott Shadley of Solidigm, and host Stephen Foskett. Modern hardware is capable of incredible performance, but bottlenecks remain. The limiting factor for AI processors is memory capacity: GPUs are hungry for data and must be refreshed from storage quickly enough to keep them running at scale. Storage can also be used to share data between GPUs across the data center and to cache working data to accelerate calculation. The secret to scalability, from storage to applications to AI, is distribution and parallel processing. Modern software runs at incredible scale, and all elements of the stack must match. Technologies like Kubernetes allow applications to use huge clusters of workers all contributing to scale and performance. WEKA runs this way, matching the GPU clusters and web applications we rely on today.

    https://youtu.be/Rr8TJeBgyGk

    Apple Podcasts || Spotify || More Audio Links || YouTube Channel

    Guest:

    Alan McSeveney is the Field CTO of Media and Entertainment at WEKA. You can connect with Alan on LinkedIn and learn more about WEKA on their website.

    Podcast Information

    Stephen Foskett is the Organizer of the Tech Field Day Event Series and President of the Tech Field Day business unit, part of The Futurum Group. Connect with Stephen on LinkedIn and follow him on X/Twitter, on Mastodon, or on Bluesky. Learn more about Tech Field Day and information on upcoming events on their website.

    Scott Shadley is the Leadership Narrative Director and Technology Evangelist at Solidigm and Director on the Board of Directors at SNIA. You can connect with Scott on LinkedIn and learn more about Solidigm and their AI efforts on their dedicated AI landing page or watch their Field Day presentations from their appearances at Tech Field Day.

    Thank you for listening to Utilizing Tech Season 8: Utilizing AI at the Edge Presented by Solidigm. If you enjoyed this discussion, please subscribe in your favorite podcast application and consider leaving us a rating and a nice review on Apple Podcasts or Spotify. This podcast was brought to you by Solidigm and by Tech Field Day, part of The Futurum Group. For show notes and more episodes, head to our dedicated Utilizing Tech Website or find us on X/Twitter, on Bluesky, and Mastodon at Utilizing Tech.

    #SFoskett #SMShadley #Solidigm #TechFieldDay #WekaIO #AI #AIDataInfrastructure #Edge #Sponsored

  2. Cooling at the Edge with DUG

    Modern AI servers generate a lot of heat, but the industry is ready with revolutionary technologies like immersion cooling. This episode of Utilizing Tech features Micah Jordan from DUG, discussing specialized server solutions with Jeniece Wnorowski of Solidigm and Stephen Foskett. Although it sounds exotic, companies like DUG have been using immersion cooling for decades. Once they proved the value of the technology in their own datacenter, DUG began delivering immersion cooled containers wherever they are needed, especially at the edge. This uniform and efficient cooling allows servers to work harder while also extending their lifespan and reducing the risk of component failure. DUG’s containerized AI racks are being deployed around the world closer to users, lowering the latency and enabling rapid response to demands. DUG is working with partners like Hypertec to build, certify, and support immersion cooling for end customers, achieving higher density and lower energy consumption.

    https://youtu.be/5_M82uH4U9E?si=8PPe8QKVui3mNisQ

    Apple Podcasts || Spotify || More Audio Links || YouTube Channel

    Guest:

    Micah Jordan is an Account Executive at DUG. You can connect with Micah on LinkedIn and learn more about DUG on their website.

    Podcast Information

    Stephen Foskett is the Organizer of the Tech Field Day Event Series and President of the Tech Field Day business unit, part of The Futurum Group. Connect with Stephen on LinkedIn and follow him on X/Twitter, on Mastodon, or on Bluesky. Learn more about Tech Field Day and information on upcoming events on their website.

    Jeniece Wnorowski is the Datacenter Product Marketing Manager and Head of Influencer Marketing at Solidigm. You can connect with Jeniece on LinkedIn and learn more about Solidigm and their AI efforts on their dedicated AI landing page or watch their Field Day presentations from their appearances at Tech Field Day.

    Thank you for listening to Utilizing Tech Season 8: Utilizing AI at the Edge Presented by Solidigm. If you enjoyed this discussion, please subscribe in your favorite podcast application and consider leaving us a rating and a nice review on Apple Podcasts or Spotify. This podcast was brought to you by Solidigm and by Tech Field Day, part of The Futurum Group. For show notes and more episodes, head to our dedicated Utilizing Tech Website or find us on X/Twitter, on Bluesky, and Mastodon at Utilizing Tech.

    #SFoskett #Solidigm #TeamDUG #TechFieldDay #TheFuturumGroup #UtilizingTech #AI #EdgeComputing #Sponsored #UT08x10

  3. Accelerating and Protecting Storage for AI with GRAID Technology

    Modern AI servers are loaded with GPUs, but spend too much time waiting for data. This episode of Utilizing Tech, focused on AI at the Edge with ⁠Solidigm⁠, features ⁠Kelley Osburn⁠ of ⁠Graid Technology⁠ discussing the latest in data protection and acceleration with ⁠⁠⁠Scott Shadley⁠ and ⁠⁠⁠Stephen Foskett⁠. As more businesses invest in GPUs to train and deploy AI models, they are discovering how difficult it is to keep these expensive compute clusters fed. GPUs are idled when data retrieval is too slow, and failures or errors could prove catastrophic. ⁠Graid⁠ not only protects data but also accelerates access, allowing users to achieve the full potential of their AI server investment.

    https://youtu.be/dOut8v9nYBw

    Apple Podcasts || Spotify || More Audio Links || YouTube Channel

    Guest:

    Kelley Osburn is the Senior Director of OEM and Channel Business Development at Graid Technology. You can connect with Kelley on LinkedIn and learn more about Graid Technology on their website.

    Podcast Information

    Stephen Foskett is the Organizer of the Tech Field Day Event Series and President of the Tech Field Day business unit, part of The Futurum Group. Connect with Stephen on LinkedIn and follow him on X/Twitter, on Mastodon, or on Bluesky. Learn more about Tech Field Day and information on upcoming events on their website.

    Scott Shadley is the Leadership Narrative Director and Technology Evangelist at Solidigm and Director on the Board of Directors at SNIA. You can connect with Scott on LinkedIn and learn more about Solidigm and their AI efforts on their dedicated AI landing page or watch their Field Day presentations from their appearances at Tech Field Day.

    Thank You for Listening to Utilizing Tech

    Thank you for listening to Utilizing Tech Season 8: Utilizing AI at the Edge Presented by Solidigm. If you enjoyed this discussion, please subscribe in your favorite podcast application and consider leaving us a rating and a nice review on Apple Podcasts or Spotify. This podcast was brought to you by Solidigm and by Tech Field Day, part of The Futurum Group. For show notes and more episodes, head to our dedicated Utilizing Tech Website or find us on X/Twitter, on Bluesky, and Mastodon at Utilizing Tech.

    #GraidTechnology #SFoskett #SMShadley #Solidigm #TechFieldDay #UtilizingTech #Sponsored

  4. NVIDIA Reveals Rubin AI and Blackwell Ultra || Tech Field Day News Rundown: March 19, 2025

    NVIDIA unveiled new AI-focused chips at its GTC conference, including the Blackwell Ultra series launching this year and the next-gen Vera Rubin GPUs set for 2026. CEO Jensen Huang emphasized the company’s shift to an annual release cycle, a departure from its previous biennial schedule. This move reflects NVIDIA’s response to the growing AI market and increasing competition. This and more on the Rundown.

    https://youtu.be/49b4_OrMpvI

    Apple Podcasts | Spotify | Overcast | Amazon Music | Audio | YouTube

    2:29 – Taara Spun Out from Google’s Parent Company Alphabet

    Alphabet has spun off Taara, its laser-based internet backbone provider, into an independent company focused on delivering high-speed connectivity to underserved regions. The newly formed company will continue developing its wireless optical communication technology, which aims to provide reliable internet without the need for traditional fiber infrastructure.

    Read More: Alphabet spins off laser-based Internet backbone provider Taara

    6:41 – Intel Names Lip-Bu Tan as New CEO

    Intel has appointed Lip-Bu Tan as its new CEO, succeeding Pat Gelsinger who stepped down in December 2024. Tan, formerly CEO of Cadence Design Systems and an Intel board member, aims to revitalize the company by streamlining operations and focusing on advanced chip manufacturing, including AI server chips, to better compete with industry leaders like TSMC. Following the announcement, Intel’s stock surged nearly 8%, reflecting investor optimism about Tan’s strategic vision.

    Read More: Intel Names Lip-Bu Tan as New CEO

    12:38 – DevOps Gets Empowered by Semaphore Going Open Source

    Semaphore has open-sourced its core CI/CD platform under the Apache 2.0 license, aiming to provide developers with greater flexibility and transparency. This move addresses the limitations of existing CI/CD solutions by combining enterprise-grade reliability with the customizability of open-source software. By making its codebase publicly accessible, Semaphore empowers developers to explore, modify, and enhance the platform to suit their unique requirements, fostering a community-driven approach to innovation.

    Read More: Semaphore Goes Open Source: A New Dawn for DevOps Professionals

    16:38 – Microsoft’s New Quantum Chip Greeted with Major Skepticism

    Microsoft’s recent announcement of its Majorana 1 quantum chip, claimed to be a significant advancement in quantum computing, has been met with skepticism from the scientific community. Experts question the validity of Microsoft’s findings, citing a lack of peer-reviewed evidence and unproven underlying physics, leading to concerns about the legitimacy of the breakthrough.

    Read More: Microsoft’s New Quantum Chip Greeted with Major Skepticism

    22:04 – Solo.io Launches Kagent for Agentic AI-Driven Cloud Ops

    Solo.io has launched Kagent, an open-source agentic AI framework designed to automate cloud-native operations within Kubernetes environments. Built on Microsoft’s AutoGen, Kagent integrates with existing tools to streamline tasks like configuration, troubleshooting, and network security, enabling DevOps teams to leverage AI-driven automation.

    Read More: Solo.io’s Kagent Brings Agentic AI to Cloud-Native Operations

    25:37 – Amazon, Google, and Meta Nuclear Datacenters by 2050

    Amazon, Google, and Meta are investing heavily in nuclear energy as part of their strategy to achieve net-zero carbon emissions by 2050. These tech giants plan to power their operations with 100% renewable energy, with nuclear energy playing a key role in meeting their ambitious sustainability goals. Alongside nuclear, they are exploring advanced technologies like carbon capture to reduce their environmental impact and address the urgency of climate change.

    Read More: Amazon, Google, Meta Are Going Super Nuclear by 2050

    29:38 – NVIDIA Reveals Rubin AI and Blackwell Ultra

    Nvidia unveiled new AI-focused chips at its GTC conference, including the Blackwell Ultra series launching this year and the next-gen Vera Rubin GPUs set for 2026. CEO Jensen Huang emphasized the company’s shift to an annual release cycle, a departure from its previous biennial schedule. This move reflects Nvidia’s response to the growing AI market and increasing competition.

    Read More: Nvidia announces Blackwell Ultra and Rubin AI chips

    40:58 – The Weeks Ahead

    Upcoming Tech Field Day Events

    Networking Field Day 37 – March 19 – 20

    Tech Field Day Extra with HPE – April 8

    AI Infrastructure Field Day 2 – April 23 – 24

    Mobility Field Day 13 – May 7 – 8

    Security Field Day 13 – May 29 – 30

    Host Information

    Stephen Foskett is the President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event Series, now part of The Futurum Group. Connect with Stephen on LinkedIn or on X/Twitter.

    Alastair Cooke is a Tech Field Day Event Lead, now part of The Futurum Group. You can connect with Alastair on LinkedIn or on X/Twitter and you can read more of his research notes and insights on The Futurum Group’s website.

    Gestalt IT and Tech Field Day are now part of The Futurum Group.

    The Gestalt IT Rundown is your look at the IT news of the week. Be sure to subscribe to Gestalt IT on YouTube for even more weekly video content.

    #AI #NVIDIAGTC #Rundown #AWSCloud #DemitasseNZ #GestaltIT #Google #GoogleCloud #Intel #IntelBusiness #Meta #Microsoft #Nvidia #SFoskett #TechFieldDay #TechstrongTV #TheFuturumGroup

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  5. OpenAI Not For Sale as They Prepare Proprietary Chip | The Gestalt IT Rundown: February 12, 2025

    A group of investors, led by Elon Musk’s startup xAI and other backers, has made a $97.4 billion bid to take control of OpenAI, aiming to refocus the organization on open-source AI and safety amid rising tensions between Musk and OpenAI CEO Sam Altman over its shift to a for-profit model. Meanwhile, OpenAI is advancing its AI hardware strategy with plans to launch a custom-designed AI chip in 2024, fabricated by TSMC using 3-nanometer technology to reduce reliance on Nvidia. Initially deployed on a limited scale, the chip is designed to optimize AI model performance, with OpenAI’s expanding chip team already working on future iterations with enhanced capabilities. This and more on The Rundown.

    https://youtu.be/Ng59i8nmVI4

    Apple Podcasts | Spotify | Overcast | Amazon Music | Audio | YouTube

    2:44 – Turn/River Capital Acquires SolarWinds

    With its $4.4 billion acquisition of SolarWinds, Turn/River Capital seeks to take the IT management software firm private, allowing it to focus on long-term growth without the pressure of quarterly earnings. This deal aligns with a broader surge in private-equity buyouts in the software sector, driven by declining borrowing costs, and comes after SolarWinds’ turbulent past, including a major 2020 cyberattack that compromised government and corporate clients.

    Read More: SolarWinds To Be Acquired By Turn/River Capital In $4.4B All-Cash Deal

    Read More: Turn/River’s $4.4 Billion Acquisition of SolarWinds Could Signal More IT-Related Deals

    5:21 – WEKA Restructure to Focus on AI

    WEKA is restructuring its go-to-market functions to align with the rapid growth of generative AI, following a strong 2024 in which it raised $140 million in funding and surpassed $100 million in annual recurring revenue. CEO Liran Zvibel emphasizes that this strategic shift will position the company for long-term success, with plans to expand headcount by approximately 120 employees to support large-scale enterprise AI and GPU acceleration deployments.

    Read More: WEKA restructures for the GenAI era

    9:23 – Cisco One Silicon Shows Big at Cisco Live EMEA

    Cisco Live EMEA is happening this week and Cisco has had some big announcements. The biggest news comes with investments in new service provider hardware and data center infrastructure as well. The moves appear to be positioned to help Cisco customers take advantage of AI while also offering a custom advantage. The newest platforms are all powered by Cisco’s Silicon One chips. The newest A-series and K-series CPUs help offload processing to the edge and give Cisco an opportunity to challenge merchant silicon vendors in the space. For more on this we’re going on site to Tom Hollingsworth in Amsterdam at Cisco Live for more.

    Read More: Tech Field Day Extra at Cisco Live EMEA Day One

    12:50 – Hammerspace is Changing the AI Training Game

    Hammerspace is challenging conventional reliance on object storage for AI workloads by advocating for universal, protocol-agnostic data access instead. The company has emphasized the importance of intelligent data orchestration across various storage types, ensuring seamless access to relevant datasets without disruptive migrations. As AI adoption continues to grow, Hammerspace highlights the need for metadata-driven automation and hybrid access models to optimize performance and scalability in enterprise environments.

    Read More: Hammerspace challenges object storage norms for AI

    17:31 – French President to Invest $112B in AI

    French President Emmanuel Macron announced $112 billion in private investments for the AI ecosystem, with funds expected to be deployed in the coming years, coinciding with Paris hosting the Artificial Intelligence Action Summit. This investment will primarily focus on AI data centers, with the country positioning itself as an ideal location for AI infrastructure due to its low-carbon electricity and stable grid, which Macron emphasized as a competitive advantage for attracting global investments.

    Read More: Macron unveils $112B AI investment package, France’s answer to US’ Stargate

    22:36 – Huawei Shows Revenue Growth Despite Ban

    Huawei expects to meet its 2024 revenue target of ¥860 billion ($118.25 billion), marking 22% growth compared to 2023. Despite sanctions, its ICT business remains strong, its consumer sector is growing, and its smart car solutions are expanding quickly. This success is notable considering Huawei’s challenges, including the sale of its Honor brand and the difficult economic environment in China.

    Read More: Huawei revenue growing fast, suggesting China’s scoffing at sanctions

    26:49 – Sam Altman Says OpenAI is Not for Sale

    A group of investors has made a $97.4 billion offer to take control of OpenAI, aiming to restore the organization’s focus on open-source AI and safety. The investors are led by Elon Musk’s startup xAI and several other backers. Tensions between Musk and OpenAI’s CEO Sam Altman have escalated as Musk challenges OpenAI’s shift to a for-profit model and its current management.

    Read More: Musk-led investor group offers $97.4 billion for OpenAI — Altman declines

    33:06 – OpenAI to Take On NVIDIA with Proprietary Chip

    OpenAI is preparing to launch its own AI chip in 2024, aiming to reduce its reliance on Nvidia. The custom-designed chip, to be fabricated by TSMC using 3-nanometer technology, will focus on running AI models and will initially be deployed on a limited scale. OpenAI’s chip team, which has recently doubled in size, is also working on future versions with enhanced capabilities.

    Read More: OpenAI is reportedly getting closer to launching its in-house chip

    38:13 – The Weeks Ahead

    Cloud Field Day 22 – February 19 – 20

    Networking Field Day 37 – March 19 – 20

    Gestalt IT and Tech Field Day are now part of The Futurum Group.

    The Gestalt IT Rundown is your look at the IT news of the week. Be sure to subscribe to Gestalt IT on YouTube for even more weekly video content.

    #AI #ITNews #Rundown #Cisco #CiscoNetworking #DemitasseNZ #GestaltIT #HammerspaceInc #Huawei #OpenAI #SFoskett #SolarWinds #TechFieldDay #TechstrongTV #TheFuturumGroup #WekaIO

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  6. US Antitrust Actions Challenge Tech Deals | The Gestalt IT Rundown: November 20, 2024

    The US Department of Justice is looking at two big IT companies, potentially making waves in the enterprise IT space. They are asking a federal judge to force Google to sell or spin off its Chrome browser, arguing that integration with Google’s other products, particularly Android, Search, and the Play store, is anti-competitive. At the same time, the DOJ is also looking at the proposed acquisition of Juniper Networks by Hewlett Packard Enterprise.

    https://youtu.be/-X7dbN26PSA

    Apple Podcasts | Spotify | Overcast | Amazon Music | Audio | YouTube

    2:09 – NIST Can Hear When Your Battery is Going to Catch Fire

    Researchers at NIST, the National Institute of Standards and Technology, have trained an AI to detect the sound of a Lithium battery that is about to catch fire. The characteristic sound of the safety valve releasing excess gas pressure is a precursor to an unstoppable fire erupting.

    Read More: AI Can ‘Hear’ When a Lithium Battery Is About to Catch Fire

    4:48 – StarTree Cloud Powers Real-Time Data

    StarTree Cloud, built on Apache Pinot, now includes more real-time data warehouse features including pauseless ingestion, ML-driven query optimization, schema evolution for dynamic data, and role-based access control. StarTree’s massive-scale real-time data warehouse is finding big corporate customers, and these new features ought to attract even more.

    Read More: Real-Time Analytics Summit 2025

    9:44 – Itential Debuts Automation Service at Networking Field Day

    Itential has launched its Automation Service to streamline and standardize network automation, allowing NetDevOps teams to securely create, share, and execute automations at scale. The service features a dynamic Automation Gateway that integrates tools like Python, Ansible, and OpenTofu, enabling developers to build automations while empowering teams to use them without coding expertise. With capabilities like role-based access control, Git synchronization, and reusable service frameworks, Itential aims to simplify automation management, reduce script proliferation, and foster agility across hybrid cloud infrastructures. Let’s kick it over to The Futurum Group’s Ron Westfall for more.

    Read More: NFD36: Itential Ups Network Automation Intentions with Automation Service Debut

    Read More: Itential Presents at Networking Field Day 36

    Read More: Intential’s Automation-as-a-Service Solution for Operationalizing and Standardizing Infrastructure Automation

    17:11 – SentinelOne reports on The State of Cloud Ransomware in 2024

    SentinelOne has reported that cloud services are not immune to ransomware and are specifically targeted by ransomware groups. Poorly secured cloud accounts can allow attackers to use cloud-native encryption services to encrypt cloud data. Alternatively, cloud storage can be the destination for data exfiltration, copying stolen data from the victim network.

    Read More: The State of Cloud Ransomware in 2024

    21:38 – Cyber Defense Agencies reveal Most Exploited Vulnerabilities in 2023

    Cybersecurity agencies from the US, UK, Canada, Australia, and New Zealand jointly released an advisory highlighting the most exploited vulnerabilities of 2023, emphasizing a rise in zero-day attacks targeting high-priority systems. The report incluudes recommendations for dealing with this new world, but it’s very hard to prepare for zero-day exploits.

    Read More: 2023 Top Routinely Exploited VulnerabilitiesThe State of Cloud Ransomware in 2024

    25:34 – Lightbend Launches Akka 3

    Lightbend has rebranded as Akka with the launch of Akka 3, a platform for building elastic, agile, and resilient apps with a simple SDK and support for Serverless and Bring-Your-Own-Cloud environments. Akka introduces industry-firsts like cross-cloud app migration, multi-master replication for failover-free operations, and guarantees against app reliability issues. Already powering major enterprises, Akka 3 redefines app development by focusing on responsiveness and SLAs, independent of infrastructure.

    Read More: Lightbend launches Akka 3 to make it easy to build and run apps that react to change; rebrands company as Akka

    29:40 – US Antitrust Actions Challenge Tech Deals

    The US Department of Justice is looking at two big IT companies, potentially making waves in the enterprise IT space. They are asking a federal judge to force Google to sell or spin off its Chrome browser, arguing that integration with Google’s other products, particularly Android, Search, and the Play store, is anti-competitive. At the same time, the DOJ is also looking at the proposed acquisition of Juniper Networks by Hewlett Packard Enterprise.

    DOJ will attempt to Break Up Google

    The Department of Justice plans to ask a federal judge to require Google to sell its Chrome browser, arguing that its integration with Google’s other products sustains an illegal search monopoly and limits competition. Additional proposals include separating Android from Search and Google Play, enhancing advertiser control, limiting AI content use, and banning exclusive contracts central to the antitrust case.

    Read More: US lawyers will reportedly try to force Google to sell Chrome and unbundle Android

    Juniper Networks Sees Drops as DOJ Reviews HPE Deal

    Juniper Networks shares fell 5% amid reports that the DOJ may soon decide whether to approve or block its $14 billion acquisition by Hewlett Packard Enterprise (HPE). While HPE expects the deal to close by early 2025, recent DOJ scrutiny and trader speculation have raised concerns about potential regulatory hurdles.

    Read More: Juniper Networks falls amid reports on DOJ review of HPE deal (update)

    38:44 – The Weeks Ahead

    Mobility Field Day 12 – November 20 – 21

    AI Field Day 6 – January 29 – 30

    Gestalt IT and Tech Field Day are now part of The Futurum Group.

    The Gestalt IT Rundown is your look at the IT news of the week. Be sure to subscribe to Gestalt IT on YouTube for even more weekly video content.

    #CyberSecurity #Ransomware #Rundown #Security #DemitasseNZ #GestaltIT #Google #HPE #JuniperNetworks #LightbendNIST #SFoskett #StartreeDataRonWestfallDX #TechFieldDay #TheFuturumGroup

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  7. What Another Trump Presidency Means for Enterprise Tech | The Gestalt IT Rundown: November 6, 2024

    Another Trump presidency could bring significant implications for enterprise tech, particularly through a focus on deregulation, increased M&A, and expanded Big Tech investments. this also extends to advancements in military technology, Israel’s influence on cybersecurity, the impact of initiatives like StarLink and rural broadband on connectivity, nuclear energy, AI, the CHIPS Act, and the expanding space industry. Altogether, these insights suggest that a pro-deregulation agenda, aiming to remove ten regulations for each new one introduced, could profoundly shape the future of enterprise technology. This and more on the Gestalt IT Rundown.

    https://www.youtube.com/watch?v=1Tjv_5INq3k&list=PL4esUX7mpOVbSGJ3IbnfaAfgdV-9CqgXQ&index=1

    Apple Podcasts | Spotify | Overcast | Amazon Music | Audio | YouTube

    1:54 – Log-in Bug Infects Okta

    Okta recently disclosed a security vulnerability that allowed users to log in without a correct password under specific conditions, such as usernames over 52 characters, the presence of a stored cache key, no two-factor authentication, and Okta’s authentication agent being down or overloaded. Okta has since fixed the issue by updating its cryptographic algorithm and advises affected customers to review access logs from the past three months.

    Read More: Okta Bug Allowed Log-Ins Without a Correct Password

    4:14 – Nuclear Amazon Datacenters Denied over Safety Concerns

    Back on Oct 2, Tom and I talked about nuclear power for AI datacenters. Amazon’s plans to power new U.S. datacenters with nuclear energy faced a setback after the Federal Energy Regulatory Commission rejected an agreement allowing it to draw additional power from the Susquehanna nuclear plant, citing potential impacts on grid reliability and consumer costs. Despite FERC Chairman Willie L. Phillips advocating for approval, FERC ruled that the proposal lacked sufficient support, raising concerns over preferential treatment and the potential effects of similar arrangements on the grid in future cases.

    Read More: Amazon’s nuclear datacenter dreams stall as watchdog rejects power deal

    Read More: Endangered bees stop Meta’s plan for nuclear-powered AI data center

    7:56 – Microsoft Recalls Recall. Again.

    Microsoft has once again delayed the release of its new AI Recall feature for Copilot Plus PCs, pushing the preview for Windows Insiders to December. Recall, which was originally slated for an October release, has been plagued by concerns about its security and privacy implications. The delays stem from Microsoft’s efforts to address these concerns by making Recall an opt-in feature that can be fully uninstalled. Microsoft has been working to fix bugs in how the feature appears and is controlled in Windows 11. The company remains committed to delivering a secure and trusted experience with Recall.

    Read More: Microsoft is delaying the recall feature for CoPilot Plus PCs again, all we know

    10:58 – Cloudera Launches Private Link

    Cloudera recently launched the Cloudera Private Link Network, a service designed to provide secure, internet-free connectivity across multi-cloud environments. This network allows data to travel securely between customer workloads and Cloudera’s Control Plane without traversing the public internet, addressing privacy and regulatory concerns for industries like finance, healthcare, and pharmaceuticals. By using services like AWS PrivateLink and Azure Private Link, the Private Link Network enables consistent security across cloud providers, reducing the complexities of cross-cloud setups and lowering total costs by simplifying network management. This development marks Cloudera’s effort to support enterprises with strict data protection needs in leveraging multi-cloud environments efficiently. For more on this, let’s turn to our colleague Mitch Ashley.

    Read More: Cloudera Launches Private Link for Secure Multi-Cloud Connectivity

    14:50 – Google Cloud gets Multi-Factor Authentication

    In response to rising cyber threats and high-profile data breaches, Google has announced that it will require all Google Cloud users to enable multi-factor authentication (MFA) by 2025. Starting this month, users will receive reminders to implement MFA, with mandatory enforcement beginning in the new year. This policy shift, aimed at protecting against unauthorized access through stolen credentials, aligns Google with other cloud giants like AWS and Microsoft, which have also moved to enforce MFA. Google says this requirement addresses the heightened security risks in enterprise cloud environments, where sensitive data remains a prime target for cyberattacks.

    Read More: Google Cloud to make multi-factor authentication mandatory in 2025

    17:33 – Supermicro Faces Financial Woes as NVIDIA Seeks New Suppliers

    Needham suspended its buy rating for Super Micro Computer (SMCI) after Ernst & Young resigned as auditor, citing governance issues and concerns about financial transparency amid an ongoing DOJ investigation and Hindenburg Research’s allegations of accounting manipulation. In response, NVIDIA is redirecting AI server orders to other suppliers to maintain supply chain stability, as Supermicro’s stock faces volatility and potential delisting risk.

    Read More: Super Micro shares tumble following disturbing news

    Read More: Nvidia steps in to restructure Supermicro orders, reshaping AI supply chain

    22:07 – What Another Trump Presidency Means for Enterprise Tech

    Another Trump presidency could bring significant implications for enterprise tech, particularly through a focus on deregulation, increased M&A, and expanded Big Tech investments. this also extends to advancements in military technology, Israel’s influence on cybersecurity, the impact of initiatives like StarLink and rural broadband on connectivity, nuclear energy, AI, the CHIPS Act, and the expanding space industry. Altogether, these insights suggest that a pro-deregulation agenda, aiming to remove ten regulations for each new one introduced, could profoundly shape the future of enterprise technology.

    The Weeks Ahead

    Networking Field Day 36 – November 6 – 7

    AppDev Field Day 2 – November 12 – 13

    Mobility Field Day 12 – November 20 – 21

    Gestalt IT and Tech Field Day are now part of The Futurum Group.

    The Gestalt IT Rundown is your look at the IT news of the week. Be sure to subscribe to Gestalt IT on YouTube for even more weekly video content.

    #AI #CHIPSAct #CyberSecurity #PrivateCloud #Rundown #AWSCloud #Cloudera #GestaltIT #Google #GoogleCloud #Microsoft #MitchellAshley #Nvidia #OktaDev #Poller #SFoskett #SupermicroSMCI #TechFieldDay #TheFuturumGroup

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  8. #SymLink: Platform9's Private Cloud Director enhances private cloud management, targeting VMware customers with advanced features like Kubernetes management. @sfoskett #SFoskett #Platform9Sys #CFD21 #GestaltIT #Rundown
    youtube.com/watch?v=uMEKdY0mKH

  9. #SymLink: Stephen Foskett reports on Cloud Field Day 21, highlighting key presentations from VMware, Platform9, and Qumulo on the evolution of cloud technologies. @sfoskett #SFoskett #VMware #Platform9Sys #Qumulo #CFD21 #TechstrongTV #Video
    techstrong.tv/videos/techstron

  10. Data Infrastructure Is A Lot More Than Storage

    The rise of AI and the importance of data to modern businesses has driven us too recognize that data matters, not storage. This episode of the Tech Field Day podcast focuses on AI data infrastructure and features Camberley Bates, Andy Banta, David Klee, and host Stephen Foskett, all of whom will be attending our AI Data Infrastructure Field Day this week. We’ve known for decades that storage solutions must provide the right access method for applications, not just performance, capacity, and reliability. Today’s enterprise storage solutions have specialized data services and interfaces to enable AI workloads, even as capacity has been driven beyond what we’ve seen in the past. Power and cooling is another critical element, since AI systems are optimized to make the most of expensive GPUs and accelerators. AI also requires extensive preparation and organization of data as well as traceability and records of metadata for compliance and reproducibility. Another question is interfaces, with modern storage turning to object stores or even vector database interfaces rather than traditional block and file. AI is driving a profound transformation of storage and data.

    Infrastructure Beyond Storage

    The rise of AI has fundamentally shifted the way we think about data infrastructure. Historically, storage was the primary focus, with businesses and IT professionals concerned about performance, capacity, and reliability. However, as AI becomes more integral to modern business operations, it’s clear that data infrastructure is about much more than just storage. The focus has shifted from simply storing data to managing, accessing, and utilizing it in ways that support AI workloads and other advanced applications.

    One of the key realizations is that storage, in and of itself, is not the end goal. Data is what matters. Storage is merely a means to an end, a place to put data so that it can be accessed and used effectively. This shift in perspective has been driven by the increasing complexity of AI workloads, which require not just vast amounts of data but also the ability to access and process that data in real-time or near real-time. AI systems are highly dependent on the right data being available at the right time, and this has led to a rethinking of how data infrastructure is designed and implemented.

    In the past, storage systems were often designed with a one-size-fits-all approach. Whether you were running a database, a data warehouse, or a simple file system, the storage system was largely the same. But AI has changed that. AI workloads are highly specialized, and they require storage systems that are equally specialized. For example, AI systems often need to access large datasets quickly, which means that traditional storage systems that rely on spinning disks or even slower SSDs may not be sufficient. Instead, AI systems are increasingly turning to high-performance storage solutions that can deliver the necessary bandwidth and low latency.

    Moreover, AI workloads often require specialized data services that go beyond simple storage. These include things like data replication, data reduction, and cybersecurity features. AI systems also need to be able to classify and organize data in ways that make it easy to access and use. This is where metadata management becomes critical. AI systems need to be able to track not just the data itself but also the context in which that data was created and used. This is especially important for compliance and reproducibility, as AI systems are often used in regulated industries where traceability is a legal requirement.

    Another important aspect of AI data infrastructure is the interface between the storage system and the AI system. Traditional storage systems often relied on block or file-based interfaces, but AI systems are increasingly turning to object storage or even more specialized interfaces like vector databases. These new interfaces are better suited to the needs of AI workloads, which often involve large, unstructured datasets that need to be accessed in non-linear ways.

    Power and cooling are also critical considerations in AI data infrastructure. AI systems are highly resource-intensive, particularly when it comes to GPUs and other accelerators. These systems generate a lot of heat and consume a lot of power, which means that the data infrastructure supporting them needs to be optimized for energy efficiency. This has led to a shift away from traditional spinning disks, which consume a lot of power, and towards more energy-efficient storage solutions like SSDs and even tape for long-term storage.

    The rise of AI has also blurred the lines between storage and memory. With the advent of technologies like CXL (Compute Express Link), the distinction between memory and storage is becoming less clear. AI systems often need to access data so quickly that traditional storage solutions are not fast enough. In these cases, data is often stored in memory, which offers much faster access times. However, memory is also more expensive and less persistent than traditional storage, which means that data infrastructure needs to be able to balance these competing demands.

    In addition to the technical challenges, AI data infrastructure also needs to address the growing need for traceability and compliance. As AI systems are increasingly used to make decisions that impact people’s lives, whether in healthcare, finance, or other industries, there is a growing need to be able to trace how those decisions were made. This requires not just storing the data that was used to train the AI system but also keeping detailed records of how that data was processed and used. This is where metadata management becomes critical, as it allows organizations to track the entire lifecycle of the data used in their AI systems.

    In conclusion, AI is driving a profound transformation in the way we think about data infrastructure. Storage is no longer just about performance, capacity, and reliability. It’s about managing data in ways that support the unique needs of AI workloads. This includes everything from specialized data services and interfaces to energy-efficient storage solutions and advanced metadata management. As AI continues to evolve, so too will the data infrastructure that supports it, and organizations that can adapt to these changes will be well-positioned to take advantage of the opportunities that AI presents.

    https://youtu.be/P9O_9WBMtdI

    Apple Podcasts | Spotify | Overcast | Amazon Music | YouTube Music | Audio

    Learn more about AI Data Infrastructure Field Day 1 on the Tech Field Day website. Watch the event live on LinkedIn or on Techstrong TV.

    Podcast Information:

    Stephen Foskett is the Organizer of the Tech Field Day Event Series, now part of The Futurum Group. Connect with Stephen on LinkedIn or on X/Twitter.

    Camberley Bates is the VP and Practice Lead at The Futurum Group. You can connect with Camberley on LinkedIn and her podcast Infrastructure Matters through The Futurum Group.

    Andy Banta is a consultant at MagnitionIO and a storage expert promoting simplicity and economy. You can connect with Andy on X/Twitter or on LinkedIn. Learn more about Andy on his Substack.

    David Klee is the Founder at Heraflux Technologies. You can connect with David on X/Twitter or on LinkedIn. Learn more about David on his personal website or about Heraflux Technologies on their website.

    Thank you for listening to this episode of the Tech Field Day Podcast. If you enjoyed the discussion, please remember to subscribe on YouTube or your favorite podcast application so you don’t miss an episode and do give us a rating and a review. This podcast was brought to you by Tech Field Day, home of IT experts from across the enterprise, now part of The Futurum Group.

    #AI #AIDIFD1 #TFDPodcast #Andybanta #CamberleyB #KleeGeek #SFoskett #TechFieldDay #TechstrongTV #TheFuturuemGroup

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  11. Qiskit and IBM’s New Quantum Innovations | The Gestalt IT Rundown: September 25, 2024

    https://youtu.be/MZfZa_jF5q8

    We’re happy to have Dr. Bob Sutor joining us this week on the Rundown, since he covers quantum and advanced computing for The Futurum Group. IBM made two important announcements in the quantum space this week. The first announcement was Qiskit, a quantum SDK that runs on Python for quantum computers. This promises to bring quantum compute to a more mainstream audience and converting the underlying code to Rust. This solution is much faster than competing solutions from Google, Amazon, and Quantinuuum. IBM is also putting together an app store for quantum applications and runtime functions, including from third-party developers. This matches the moves that we have seen in areas like cloud and AI, and serves to push IBM as the leader in quantum computing. This and more on The Rundown.

    Apple Podcasts | Spotify | Overcast | Amazon Music | Audio | YouTube

    1:57 – Qualcomm to Buy Intel?

    Qualcomm is exploring a potential acquisition of Intel, a move that could strengthen both companies and enhance U.S. leadership in the chip industry, despite potential antitrust review. Intel, under CEO Pat Gelsinger, is pursuing strategic changes to boost its competitive edge, including expanding its manufacturing capabilities and investing in next-generation technologies. A successful deal would significantly broaden Qualcomm’s portfolio and position both companies for growth in the rapidly evolving AI and semiconductor markets.

    Read More: Qualcomm Approached Intel About a Takeover in Recent Days

    4:11 – Kioxia No Longer Planning IPO

    Kioxia has postponed its planned IPO, which we discussed on the August 28 show, due to challenges in achieving its target valuation amid a broader market downturn. Despite recent improvements in memory chip prices, the company has been impacted by a slump in the chip market, which they had already previously delayed its IPO in 2020. Kioxia, with a 14% share in the flash memory market, remains focused on listing when market conditions improve.

    Read More: Exclusive: Bain-backed chipmaker Kioxia scraps October IPO plan, sources say

    6:42 – Announcements from Dreamforce

    At its Dreamforce conference, Salesforce introduced Agentforce, a suite of AI-powered agents designed to streamline app development and improve customer experiences across industries. The platform’s low-code AI tools, new partnerships, and enhanced AI models aim to drive adoption of these autonomous agents, helping businesses automate tasks and unlock the full potential of their data. By integrating AI more deeply across its ecosystem, Salesforce seeks to differentiate its offering and support customers in modernizing operations and achieving higher ROI through scalable AI solutions. For more on this, let’s turn it over to The Futurum Group’s Keith Kirkpatrick who was at the event.

    Read More: Dreamforce Announcements Focus on AI, Agentforce, and Cloud Enhancements

    16:32 – Commvault Buys Clumio

    Commvault just announced its acquisition of Clumio, an AWS data protection specialist we’ve previously discussed here on the Rundown. The acquisition enhances Commvault’s cyber resilience capabilities for cloud-native applications and allows the company to leverage Clumio’s innovations, including rapid access to Amazon S3 data during critical recovery operations, expanding its offerings for AWS-based businesses. Clumio’s expertise in protecting complex data sets will now reach a global scale through Commvault’s platform.

    Read More: Commvault Accelerates Cyber Resilience Capabilities for AWS with Acquisition of Clumio

    20:07 – CISA Wants to Say Ciao to Ivanti EOL Units

    In a very telling move, CISA has made a statement telling customers to move off of Ivanti Cloud Services Appliance 4.6. The notice comes as yet another security update has been released and Ivanti is not porting it to versions prior to 5.0. The CISA has been very up front about exploits this year and Ivanti is no stranger to having issues with their underlying code quality.

    Read More: Ivanti Releases Security Update for Cloud Services Appliance

    22:47 – Veeam Acquires Alcion

    Veeam announced today that they are acquiring Alcion. Alcion has focused on SaaS backups since being founded back in 2022. Veeam had led an investment round for Alcion in 2023 and Veeam had also acquired Kasten, which was the startup that had been founded previously by Alcion founders. In addition to the acquisition, Niraj Tolia will move into the vacant CTO role at Veeam to help guide the integration between all the products.

    Read More: Veeam, the #1 Data Resilience Company, Appoints Niraj Tolia as Chief Technology Officer to Accelerate Innovation of Data Resilience as a Service

    25:29 – Qiskit and IBM’s New Quantum Innovations

    We’re happy to have Dr. Bob Sutor joining us this week on the Rundown, since he covers quantum and advanced computing for The Futurum Group. IBM made two important announcements in the quantum space this week. The first announcement was Qiskit, a quantum SDK that runs on Python for quantum computers. This promises to bring quantum compute to a more mainstream audience and converting the underlying code to Rust. This solution is much faster than competing solutions from Google, Amazon, and Quantinuuum. IBM is also putting togetther an app store for quantum applications and runtime functions, including from third-party developers. This matches the moves that we have seen in areas like cloud and AI, and serves to push IBM as the leader in quantum computing.

    Read More: Quantum in Context: IBM Qiskit Boosts Software Development Speed

    Read More: Microsoft unveils new quantum computing hybrid solution in Azure

    34:27 – The Weeks Ahead

    Networking Field Day Exclusive with Nokia – September 24

    AI Data Infrastructure Field Day 1 – October 2 – 3

    Commvault Shift – October 8 – 9

    Security Field Day 12 – October 16 – 17

    Cloud Field Day 21 – October 23 – 24

    Gestalt IT and Tech Field Day are now part of The Futurum Group.

    The Gestalt IT Rundown is your look at the IT news of the week. Be sure to subscribe to Gestalt IT on YouTube for even more weekly video content.

    #Dreamforce #Qiskit #QuantumComputing #Rundown #1 #Alcion #Clumio #Commvault #GestaltIT #IBM #Intel #IntelBusiness #Qualcomm #Salesforce #SFoskett #TechFieldDay #TheFuturumGroup #Veeam

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  12. #SymLink: The surge in AI PC demand, led by Microsoft's Copilot+ PCs, is reshaping the market with predictions of 40% global shipments by 2025 despite security concerns. @GestaltIT #SFoskett #WriterOfTech1 #ADFD1 #TechstrongAI
    techstrong.ai/articles/demand-

  13. Taking Technology to the Edge at Edge Field Day 3

    No matter what area of technology you’re interested in, it’s moving to the edge. We’re seeing a proliferation of applications for advanced networking, AI, compute, and storage solutions across industries like retail, industrial, military, media, and more. Over the past few years, Edge Field Day has highlighted key products and technologies for edge environments, and the next Tech Field Day event is coming soon. Our next Edge Field Day event is on September 18th and 19th, and I hope you can tune in live or watch the recordings. Here’s a quick overview of what to look forward to.

    https://youtu.be/K3nIN7TIIbg

    Things kick off on Wednesday, September 18th at 8:00 AM Pacific with VMware by Broadcom, which is bringing advanced application and networking services to edge environments. We recently got a glimpse of software-defined edge at VMware Explore, and this discussion continues at Edge Field Day. Avassa takes the stage at 10:30 AM to demonstrate how easy it is to migrate legacy VMs and containers to the edge. The Avassa platform simplifies edge deployments by packaging VMs as containers during migration. At 1:30 PM, we welcome TSecond, a company specializing in large data capture, data transport, and AI in unforgiving environments. The TSecond BRYCK is a high-performance, petabyte-scale mobile data solution that now enables AI right at the edge.

    Thursday begins with Ignite presentations by the Edge Field Day delegates, which is always a highlight of our events. We welcome ZEDEDA back to Edge Field Day at 10:30 AM Pacific for a session focused on edge orchestration and management. They’ll dive into Kubernetes, edge AI, and more. At 1:30 PM, we’ll learn about OnLogic, the leading manufacturer of industrial small-form-factor computers for edge environments. Their presentation will take us through various environments that require unique compute solutions.

    You can also catch the Edge Field Day delegates on our Tech Field Day podcast, including two special episodes recorded next week. Check out our appearances on Techstrong Gang and the Gestalt IT Rundown, and tune in for behind-the-scenes shorts, tech talks, and extras recorded in Silicon Valley.

    Tune in to Edge Field Day Live

    All of our sessions are broadcast live on the Tech Field Day LinkedIn page and are recorded and shared on the Tech Field Day YouTube channel. You can also catch the sessions live on Techstrong.TV, with coverage continuing on our website and our sister sites across Techstrong. We welcome participation on X (formerly Twitter), LinkedIn, and Mastodon using #EFD3. You can learn more about the event and our panel of independent technical influencers by visiting the Edge Field Day event page. Each of our delegates has their own blog, podcast, or social media platform where they share their thoughts on enterprise technology, from servers and storage to cloud and edge. We’re proud to have Alastair Cooke and Guy Currier from The Futurum Group joining the delegate panel, and we look forward to their analysis and reactions.

    Thank you for joining Edge Field Day live on September 18th and 19th! While you’re on YouTube, please subscribe to our channel and follow our LinkedIn page for more great Field Day content.

    #Edge #EFD3 #AvassaSystems #Broadcom #DemitasseNZ #GestaltIT #GuyCurriersFeed #OnLogic #SFoskett #TechFieldDay #TheFuturumGroup #Tsecondinc #VMware #VMwareSASE #ZEDEDAEdge

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  14. #SymLink: The Techstrong Gang, including Stephen Foskett, explores the criticisms of agile principles and the role of RAG in improving LLMs. #Qlik #SFoskett #QlikConnect #TFDx #TechstrongTV
    techstrong.tv/videos/techstron

  15. #SymLink: Qlik showcased its integration with Talend at Qlik Connect 2024, highlighting AI-driven data pipeline capabilities and enhanced data trust scoring for robust analytics. @sfoskett #Qlik #SFoskett #QlikConnect #TFDx #LinkedIn
    linkedin.com/pulse/qlik-cloud-

  16. This episode of the Gestalt IT Rundown includes a closer look at the announcements from Qlik Connect, offering a snapshot of Qlik's evolving position in the data analytics and BI space #GestaltIT #GMinks #Qlik #SFoskett #Podcast #QlikConnect #TFDx gestaltit.com/rundown/stephen/

  17. Announcements from Qlik Connect | Gestalt IT Rundown: June 5, 2024

    At Qlik Connect in Orlando, significant announcements affecting the industry were examined. Key highlights included the integration of Talend Cloud to enhance data pipeline capabilities and the introduction of Qlik Answers, an AI-powered knowledge assistant tailored to enterprise data. The partnership with the United Nations to support climate change initiatives by leveraging data analytics was also discussed. Additionally, Qlik announced the formation of an AI Council composed of experts to guide their AI strategy. The discussions on data quality and seamless integration were particularly impressive and insightful. This and more on The Rundown. Thanks to Gina Rosenthal for cohosting.

    Apple Podcasts | Spotify | Overcast | Amazon Music | Audio | YouTube

    1:39 – Ticketmaster Hacked in Data Breach

    Live Nation, parent company of Ticketmaster, filed a data breach with federal employees for an event that occured on May 20. A bad actor was selling their customers’ data on the dark web, They attributed the breach to a “third party cloud database, which turn out to be Snowflake. During the investigation, one of the credentials belonged to a Snowflake employee.

    Read More: Live Nation confirms Ticketmaster was hacked, says personal information stolen in data breach

    4:42 – NVIDIA Reveals Next-Gen AI Chips “Rubin”

    Most major tech companies are at Computex in Taiwan this week, and we’re seeing a flood of announcements. The industry is buzzing following Jensen Huang’s announcement of the next-generation Rubin GPU platform and associated Vera Arm CPUs. These will replace Grace, Hopper, and Grace Hopper as Nvidia’s scalable AI platform in 2026 and beyond. It’s excellent to see Nvidia honor another woman in science with their platform names, in this case American astronomer Vera Rubin who passed away in 2016.

    Read More: Nvidia jumps ahead of itself and reveals next-gen “Rubin” AI chips in keynote tease

    7:29 – Google Cloud Customer Account Wiped

    UniSuper is an Australian pension fund manager. It appears that due to a misconfiguration on the Google side, UniSuper had their entire account nuked from existence, including Google’s backups. Google confirmed this was an unprecedented, one of a kind outage.

    Read More: “Unprecedented” Google Cloud event wipes out customer account and its backups

    10:59 – Infinidat Announces G4 Storage Platform

    Infinidat just introduced their biggest upgrade to date, enhancing their Infinibox enterprise storage platform with higher performance, cyber resilience, and hybrid multi-cloud offering in Azure and AWS. Lots of enterprise hardware companies have updated their offerings with the latest Intel Xeon CPUs, but Infinidat is headed in a different direction, using the latest AMD Epyc processors. Infinidat also claims to be the first high-end storage company to allow customers to updgrade just the controller, keeping their existing media.

    Read More: Infinidat and The Future of Enterprise Storage, Cyber Storage Resilience, and Hybrid Multi-cloud Storage

    14:35 – Cisco’s AI Innovations and Investments

    At Cisco Live 2024, Cisco unveiled a series of AI-powered innovations aimed at enhancing digital resilience by integrating advanced networking, security, and observability capabilities. Cisco also introduced a $1 billion Global AI Investment Fund to drive industry innovation and customer readiness.

    Since Tom Hollingsworth is attending Cisco Live for The Futurum Group, let’s check in with him on these announcements.

    Read More: Cisco Live 2024: Cisco Announces New AI-powered Innovations and Investments to Help Customers Unlock a More Connected and Secure Future

    18:04 – Announcements from Qlik Connect

    At Qlik Connect in Orlando, significant announcements affecting the industry were examined. Key highlights included the integration of Talend Cloud to enhance data pipeline capabilities and the introduction of Qlik Answers, an AI-powered knowledge assistant tailored to enterprise data. The partnership with the United Nations to support climate change initiatives by leveraging data analytics was also discussed. Additionally, Qlik announced the formation of an AI Council composed of experts to guide their AI strategy. The discussions on data quality and seamless integration were particularly impressive and insightful.

    • 18:16 – Qlik Answers
    • 23:42 – Qlik Talend Cloud
    • 25:29 – Qlik’s AI Council
    • 26:26 – Qlik’s Support of the UNFCCC

    Tune in on June 6th for Qlik Connect content on the Tech Field Day website or on LinkedIn.

    30:34 – The Weeks Ahead

    Tech Field Day Experience at Qlik Connect – June 3 – 5

    Tech Field Day Experience at Cisco Live – June 4 – 5

    The Six Five Summit – June 11 – 13

    Cloud Field Day 20 – June 12 – 13

    Gestalt IT and Tech Field Day are now part of The Futurum Group.

    The Gestalt IT Rundown is your look at the IT news of the week. Be sure to subscribe to Gestalt IT on YouTube for even more weekly video content.

    #AI #CiscoLive24 #CyberSecurity #QlikAnswers #QlikConnect #QlikTalendCloud #Rundown #TFDx #Cisco #GestaltIT #GoogleCloud #Nvidia #Qlik #SFoskett #TechFieldDay #TheFuturumGroup

    https://wp.me/p4YpUP-mlt

  18. AI data infrastructures are increasingly reliant on advanced storage solutions to manage the sheer volume and velocity of data processing demands, as highlighted in Stephen Foskett's article on Gestalt IT #GestaltIT #SFoskett #Solidigm #AIFD4 #Sponsored gestaltit.com/sponsored/solidi

  19. Data Quality is More Important Than Ever in an AI World with Qlik

    In our AI-dominated world, data quality is the key to building useful tools. This episode of the Tech Field Day podcast features Drew Clarke from Qlik discussing best practiced for integrating data sources with AI models with Joey D’Antoni, Gina Rosenthal, and Stephen Foskett before Qlik Connect in Orlando. Although there is a lot of hype about AI in industry, companies are realizing the risks of generative AI and large language models as well. Solid data practices in terms of data hygiene, proven data models, business intelligence, and flows can ensure that the output of an AI application is correct. The proliferation of Generative AI is also causing a rapid increase in the cost and environmental impact IT systems and this will impact the success of this technology. Good data practices can help, allowing a lighter and less expensive LLM to produce quality results. The Tech Field Day delegates will learn more about these topics at Qlik Connect in Orlando, and we will be recording and sharing content as well.

    This Spotlight Podcast is Brought to You by Qlik

    Apple Podcasts | Spotify | Overcast | Amazon Music | YouTube Music | Audio

    As AI technologies like generative AI and large language models continue to appear, the foundation upon which these technologies are built – data – becomes the linchpin of their success. This episode of the Tech Field Day podcast features a discussion with Drew Clarke from Qlik, alongside industry experts Joey D’Antoni, Gina Rosenthal, and Stephen Foskett. Ahead of Qlik Connect in Orlando, the panel discussed the best practices for integrating data sources with AI models, underlining the importance of data quality in an AI-dominated world.

    The proliferation of AI technologies has brought with it an increased awareness of the potential risks associated with generative AI and LLMs. As companies venture into the realm of AI, the realization that not all AI is capable of delivering accurate or useful outcomes has become apparent. This acknowledgment has brought traditional data practices such as data hygiene, data quality, proven data models, business intelligence, and data flows into the spotlight. These practices ensure that the output of an AI application is correct and reliable.

    One of the critical challenges is the integration of data into LLMs and small language models. We consider metadata, data security, and the implications of regulations like GDPR and the California Data Privacy Act on data integration with AI models. It is critical to consider data privacy and to avoid exposing private data as companies integrating data into their AI models.

    We should also consider societal and environmental impacts of the rapid increase in the use of AI as well as the cost of inferencing. The environmental footprint of data centers, driven by the energy and water consumption required to support AI computations, is a particular area of concern. This underscores the need for good data practices that not only ensure the quality of AI outputs but also contribute to the sustainability of AI technologies.

    Data is a key product in an AI world, and we must treat data with the same care and consideration as we do in conventional applications. This involves curating, managing, and continuously improving data to ensure its quality and relevance. Data engineers and business analysts play a key role in enhancing productivity and effectiveness of AI capabilities.

    This discussion is a reminder of the critical importance of data quality in the age of AI. As companies navigate the complexities of integrating AI into their operations, the foundational principles of data hygiene, data quality, and proven data models remain as relevant as ever. We look forward to discussing these themes at Qlik Connect in June, and invite our audience to attend the event!

    Visit the Qlik Connect official website for more information and registration.

    Podcast Information:

    Stephen Foskett is the Organizer of the Tech Field Day Event Series, now part of The Futurum Group. Connect with Stephen on LinkedIn or on X/Twitter.

    Gina Rosenthal, Founder and CEO of Digital Sunshine Solutions. You can connect with Gina on LinkedIn and listen to her podcast, The Tech Aunties Podcast. Learn more on her website.

    Joey D’Antoni is a Principal Consultant at Denny Cherry & Associates Consulting. You can connect with Joey on LinkedIn, on Mastodon, and on X/Twitter or read more about him and his work on his website.

    Drew Clarke is the General Manager & EVP of the Data Business Unit at Qlik. You can connect with Drew on LinkedIn and learn more about Qlik by visiting their website.

    Thank you for listening to this episode of the Tech Field Day Podcast. If you enjoyed the discussion, please remember to subscribe on YouTube, Apple Podcasts, Spotify, or your favorite podcast application so you don’t miss an episode. Please do give us a rating and a review, it helps with discoverability. This podcast was brought to you by Tech Field Day, home of IT experts from across the enterprise, now part of The Futurum Group. For upcoming events and more episodes, head to the Tech Field Day website. 

    #AI #QlikConnect #Sponsored #TFDPodcast #GestaltIT #GMinks #JDAnton #Qlik #SFoskett #TechFieldDay #TechFieldDayPod

    https://wp.me/p4YpUP-mfJ

  20. There is a hazardous amount of AI-generated and SEO-oriented content being generated, and the solution is real stories from real communities. In the first episode of Tech Field Podcast, recorded on-site at AI Field Day, Stephen Foskett chats with Frederic Van Haren, Gina Rosenthal and Colleen Coll about confronting inauthentic content.
    #ColleenColl #Digi_Sunshine #FredericVHaren #SFoskett #TechFieldDay #TechFieldDayPod #AIFD4 #TFDPodcast Coverage
    gestaltit.com/podcast/stephen/

  21. The Tech Field Day Podcast returns! The name may change but the content and format are still the same. Read on to learn more about the history of the podcast and focus going forward with our new episodes.
    #GestaltIT #NetworkingNerd #SFoskett #TechFieldDay #TFDPodcast Coverage
    gestaltit.com/podcast/tom/rein

  22. Just Posted: The article "The Bedrock of AI is Data" from Utilizing Tech features a discussion with Qlik's Nick Magnuson and Clive Bearman on how crucial data integration and quality are to the advancement of generative AI and its applications. #Qlik #SFoskett #FredericVHaren #AIFD4 #UtilizingTech #Podcast
    utilizingtech.com/podcast/seas

  23. AI Field Day returns on February 21st-23rd, giving a broad perspective on AI's foundational technologies in a year touted to be pivotal for artificial intelligence #GestaltIT #Hammerspace_Inc #Intel #Qlik #SFoskett #Solidigm #VAST_Data #VMware #AIFD4 gestaltit.com/tech-field-day/s

  24. During Cloud Field Day 19, Infrastructure Matters hosts Steven Dickens and Camberley Bates, alongside industry experts Stephen Foskett and Keith Townsend, explored the use case for presenters NeuroBlade, SoftIron, and Platform9 #CamberleyB #CTOAdvisor #Platform9Sys #SFoskett #SoftIron #StevenDickens3 #TheFuturumGroup #CFD19 #NeuroBlade #Podcast futurumgroup.com/insights/infr

  25. #SymLink: The article summarizes Episode 29 of "Infrastructure Matters," where industry experts, including hosts Steven Dickens and Camberley Bates, discuss IT infrastructure trends and challenges, and the impact of companies like SoftIron, NeuroBlade, and Platform9, during a Cloud Field Day event. #Platform9Sys #SoftIron #NeuroBlade #StevenDickens3 #CamberleyB #CTOAdvisor #SFoskett #CFD19 #TheFuturumGroup #Podcast
    futurumgroup.com/insights/infr

  26. Looking at the Hybrid-Cloud Era at Cloud Field Day 19

    Welcome to the hybrid-cloud era. The modern data center has merged with the cloud and multi-cloud solutions are everywhere. The question is how to best make use of cloud infrastructure rather than simply adopting everything as-a-service. That’s the focus of our next Cloud Field Day event on January 31st and February 1st as we learn the latest in data and networking infrastructure, data platforms, and application scaling. Here’s a quick overview of what to look forward to.

    Event Schedule

    The event begins with Neuroblade at 8AM Pacific Time on Wednesday. They’re building an incredible accelerator for data platforms and I can’t wait to give you a sneak peek at it. Then we’ve got something really special from SoftIron at 10:30AM. They’ll be sharing some significant news you definitely don’t want to miss. We’ll hear from Platform9 at 1PM Pacific showcasing their groundbreaking elastic machine pool capability. EMP delivers serious cost savings on AWS and I’m sure the FinOps crowd will love this product.

    On Thursday we’ll be visiting Dell Technologies as their presentation begins at 8AM Pacific. They’re presenting a strategy for multi-cloud infrastructure with Apex. Then we’ll hear from Broadcom at 1PM sharing the latest in smarter cloud networking infrastructure, including the Trident 5 and Thor 2.

    Follow the Event Live

    You can also catch Cloud Field Day delegates on a special episode of On-Premise IT Tuesday and we’ll have more behind the scenes shorts, Tech Talks, and extras recorded in Silicon Valley. All of our sessions are broadcast live on LinkedIn and the Tech Field Day page as well as recorded and shared on YouTube. We welcome participation on X/Twitter, LinkedIn, and Mastodon. You can learn more about the event and our panel of independent technical influencers by visiting the Tech Field Day website. Each of our delegates has their own blog, podcast, or social media platform where they share their thoughts on Enterprise technology from servers to storage to networking and beyond. We’re proud to have Camberley Bates and Steven Dickens joining us from The Futurum Group and we look forward to their analysis and reactions as well.

    Cloud Field Day is broadcast live on LinkedIn and on the Tech Field Day website starting at 8AM Pacific on Wednesday and Thursday with more presentations throughout the day. All of our sessions will also be recorded and posted to YouTube shortly after. Thank you for joining Cloud Field Day Live January 31st and February 1st through our Social Media channels.

    #CFD19 #Cloud #DataCenter #HybridCloud #Broadcom #DellTech #GestaltIT #Platform9Sys #SFoskett #SoftIron #TechFieldDay #TheFuturumGroup

    https://wp.me/p4YpUP-m1N

  27. WebAssembly Will Displace Containers For Web-Scale Applications

    https://media.blubrry.com/onpremiseit/content.blubrry.com/onpremiseit/OPIT_206-KubeCon_On-Site_Title_Needed.mp3

    Podcast: Play in new window | Download (Duration: 18:24 — 21.1MB)

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    Containerization of applications is only a small step forward from virtualization, but WebAssembly promises a real revolution. This episode of the On-Premise IT podcast, recorded live at KubeCon 2023 in Chicago, features Nigel Poulton, Ned Bellavance, Justin Warren, and Stephen Foskett discussing the prospects for WebAssembly. WebAssembly (WASM) is lauded for its potential to be faster, smaller, and more secure than its predecessors. But skepticism surrounds its long-term adoption and development trajectory, with debates centering on whether WASM can achieve the transformative status that containers once held. While WASM applications are technically more portable, smaller, and quicker to start, adoption remains at an early stage, appealing more to developers than operations professionals.

    Podcast Information

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    #Cloud #Containers #KubeCon2023 #Kubernetes #GestaltIT #JPWarren #Ned1313 #NigelPoulton #OnPremiseIT #SFoskett

    https://wp.me/p4YpUP-lVu

  28. VAST is Back with Emphasis on Data and AI

    VAST Data is one of the leading innovators in enterprise storage, winning customers and partnerships with its scale-out storage platform. But the company is emphasizing the “Data” part of their name with a new platform designed to support data, analytics, and AI. The VAST DataPlatform is designed to merge storage and data to enable AI-assisted computation. Let’s take a look at the core features of this new VAST DataPlatform and its potential impact on the data and AI landscape.

    The Need for an AI-Focused Data Platform

    The historic division between storage and data solutions continues to impact the practical impact of data analytics. Even the most advanced storage arrays largely ignore the content they hold and most use protocols that are incompatible with analytics engines. Similarly, data platforms like Snowflake and Databricks are not inherently designed to support the demands of AI. VAST Data recognized the limitations of existing platforms and set out to create a data computing solution that would address the unique requirements of deep learning and AI-driven applications. The objective was to develop a platform that effectively supports various data types, bridges the gap between transactional and analytical processing, and enables seamless integration of unstructured and structured data.

    This is not the first time a storage company has tried to market a data-centric offering. In fact we have seen many companies try to market storage solutions for data and analytics use cases as well as industrial verticals like legal, medical, media and entertainment, and more. But many of these products were not truly designed for this market, did not support the APIs and protocols needed, and did not find adoption. Marketing was another major issue for past efforts, with companies still “talking storage” instead of using terms and concepts that a data or application customer could understand. Our initial conversations with VAST Data have been positive, with the company seeming to understand the challenge ahead of entering this new market and ready to invest to make it happen.

    Learn more about VAST Data by watching their Tech Field Day presentations, especially this early overview of their original architecture, their support for AI data, and this overview of the VAST Data advantage.

    The VAST DataPlatform Components

    VAST DataPlatform comprises several core components that create a unified, scalable, and AI-focused data infrastructure:

    • VAST DataStore: The VAST DataStore is a scalable storage architecture engineered for unstructured data. Unlike traditional storage systems, it eliminates storage tiering and also provides enterprise file storage and object storage interfaces. This feature allows for efficient management of vast amounts of unstructured data and serves as a robust foundation for AI model training.
    • VAST DataBase: The new VAST DataBase introduces a semantic database layer natively integrated into the system. By combining the characteristics of a database, a data warehouse, and a data lake into one simple, distributed, and unified database management system, VAST is attempting to resolve the divide between real-time analytics and real-time data capture and cataloging.
    • VAST DataEngine: The VAST DataEngine acts as a global function execution engine, supporting popular programming languages such as SQL and Python. It facilitates rapid data capture and fast queries at any scale, streamlining AI pipelines and enhancing the management of AI and ML models.
    • VAST DataSpace: The VAST DataSpace provides a global namespace that allows seamless storage, retrieval, and processing of data across various environments, including on-premises data centers, edge environments, and leading public cloud platforms like AWS, Microsoft Azure, and Google Cloud.

    One of the fundamental challenges in building an AI-focused data platform is developing a database that supports both transactional and analytical processing. VAST Data approached this challenge with a unique strategy. Transactions are initially performed in row form within the write buffer and then converted to a highly efficient columnar format in flash storage. This columnar format, with a size of just 32KB compared to the traditional 128MB in Parquet, enhances data processing efficiency, enabling real-time analytics.

    Stephen’s Stance

    The VAST DataPlatform is a very interesting new offering, blurring the lines between storage and data. By unifying storage, database, and virtualized compute engine services and supporting various data types, VAST Data has created the sort of platform that ought to be interesting to companies developing data and AI applications. The challenge with solutions like these has always been in communicating across this divide, from product development to sales, and engaging developers and data scientists with a new tool. Increased focus on marketing content tailored to these communities will be a sign that the company is set to succeed where others have failed.

    #ai #data-2 #exclusive #gestaltit #sfoskett #vast_data

    https://wp.me/p4YpUP-luz

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