Podcasts about data infrastructure

Who said data was just an invisible string of numbers? On this episode of Bringing Data and AI to Life our host and GVP of Solution Specialist Sales at Informatica, Amy Horowitz, is joined by Cathy Hackl, CEO and Founder of Future Dynamics. Cathy is a globally recognized futurist, an expert in deep tech and a speaker on AI. This conversation touches on the definition of data itself, and how it goes beyond what you can calculate in a spreadsheet. Cathy talks us through the challenges businesses face when incorporating AI into their practices, as well as the rise of using physical AI to visualise data, reminding us that the quality of your data is critical to the rate of your growth.

The Coast Guard is pursuing artificial intelligence via data analytics to enhance its diverse missions, Deputy CIO and Chief Data and AI Officer Brian Campo told GovCIO Media & Research during Sea-Air-Space in National Harbor, Maryland. Campo said that the Coast Guard is learning lessons from other military branches and DHS components to adopt a "fast follower" approach to AI. Campo emphasized the synergy between his dual roles, allowing for a streamlined approach to implementing data-driven AI solutions. Despite budgetary constraints, the Coast Guard is using AI and automation to improve efficiencies. He also said that the service is focusing on using AI to simplify and make marine regulations more accessible to mariners and other in the maritime domain.

Part one of our series on the data & analytics market in 2025. In this quarterly update, Shawn and Carsten discuss the evolving landscape of AI, focusing on generative AI, data infrastructure challenges, the rise of AI agents and the importance of AI governance. The talk also highlights the critical role of AI in shaping business strategies, and the ongoing race among vendors to innovate and deliver solutions that meet market demands.

"We're wasting money. You're wasting money as an organization, like, hundreds of millions of dollars that can save you that money easily. But you have to start reasoning a little bit differently." In this third part of our conversation with Stavros Papadopoulos, founder and CEO of TileDB, we delve into the company's ambitious vision to revolutionize data management in the life sciences sector. Stavros shares the journey of TileDB from its inception as a highly technical solution to its current position as a potential game-changer in how organizations handle diverse data types. He discusses the challenges of selling innovative solutions to large pharmaceutical companies and the stark contrast in adoption between big pharma and smaller organizations. Stavros, with his background as a technologist from MIT, details the early days of TileDB, emphasizing the intense focus on technological innovation and performance optimization. He describes the company's evolution from a small team of highly skilled engineers to securing significant funding and attracting major customers in the life sciences sector. Throughout the conversation, Stavros highlights the philosophical aspect of TileDB's mission, stressing its potential impact on accelerating scientific discovery and ultimately saving lives.

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Analysts Don Kellogg and Roger Entner are joined by Bill Long, Chief Product andStrategy Officer for Zayo, to discuss both the current and future states oflarge-scale data infrastructure.00:25 Zayo as a major data infrastructure provider 01:47 AI's massive impact on fiber demand 04:03 Demand calculations 06:03 Will compute efficiency increase? 07:57 Video's impact on bandwidth08:53 Pricing trends 10:15 Future data delivery trends 12:09 Episode wrap-upTags:telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, DonKellogg, Roger Entner, Bill Long, Zayo, infrastructure, fiber, data centers,cable, AI, chips, TSMC, power, hard disks, storage, FLOPS, neural processing,synthetic data, bandwidth, price, last mile, edge computing, Nvidia

The future of data management in biotech holds the key to faster discoveries and groundbreaking innovations. With new technology shaping the field, using structured multi-modal data could change how scientific progress happens.In this episode, I'm delighted to be joined by Stavros Papadopoulos, founder of TileDB. With a distinguished background as a Senior Research Scientist at Intel and a contributing member of the MIT CSAIL, Stavros brings a wealth of experience to our discussion. We talk about the challenges of data management, from breaking down data silos in biotech to how multi-dimensional arrays can improve data storage and access. Stavros also shares how TileDB's technology is set to make data handling more accurate and efficient.Learn how these tools can speed up biotech breakthroughs. Listen now!Specifically, this episode highlights the following themes:The challenge of siloed data systems in biotechThe importance of a universal data management approachTileDB's role in accelerating scientific discoveryLinks from this episode:Get to know more about Steven Swan: https://www.linkedin.com/in/swangroupGet to know more about Stavros Papadopoulos: https://www.linkedin.com/in/stavrospap/Learn more about TileDB: https://www.tiledb.com/

AI is everywhere, yet scaling it remains a serious challenge for many enterprises. Organizations are eager to move beyond pilot projects, but they quickly run into obstacles—cloud costs spiral out of control, GPUs sit idle due to inefficiencies, and infrastructure bottlenecks slow down innovation. If AI is supposed to be the future, why is the underlying infrastructure still holding it back? In this episode, I'm joined by John Blumenthal, Chief Product Officer at Volumez, and Diane Gonzalez, Senior Director of Business Development and Product, to unpack the hidden inefficiencies of AI infrastructure and explore whether Data Infrastructure as a Service (DIaaS) is the answer. They explain why traditional AI infrastructure models are failing and why manual optimization simply can't keep up with modern AI workloads. John argues that the problem is beyond human management, stating, “No human being is going to be able to answer that question—to actually arrive at that optimization. So you have to turn it over to a machine.” We explore why cloud spending is so difficult to control, how businesses are struggling to achieve a return on their AI investments, and what it will take to make AI infrastructure more cost-effective and scalable. Diane shares real-world examples of how AI teams are losing valuable time and resources trying to work around infrastructure constraints. She explains how DIaaS dynamically composes infrastructure on demand, eliminating bottlenecks and ensuring businesses can run AI workloads at full speed without overspending. With AI adoption accelerating, organizations are rethinking their approach to cloud infrastructure. But is DIaaS the missing piece that will finally make AI truly scalable? And are businesses ready to let automation take the lead in optimizing their cloud environments? Join the conversation and share your thoughts.

Brooke Ybarra and I dive into the intricacies of innovation and transformation within the banking industry in this episode. She is currently SVP of Innovation and Strategy at the American Bankers Association (ABA). Brooke shares her unique career journey, starting with the CIA, strategy consulting, a significant corporate role during the pandemic, and finally her impactful position at the ABA. We discuss how she has infused creativity and a forward-thinking mindset into the association, particularly focusing on how partnerships between banks and fintechs are evolving and the current state of innovation in banking. Brooke emphasizes the importance of aligning technological advancements with customer needs and how banks can leverage external solutions to meet these needs effectively. We also touch on the challenges of infrastructure upgrades, the relevance of middleware, and the shift towards a more digitized banking environment. Furthermore, we explore the role of AI in banking, how banks can stay competitive with non-bank financial services, and ways to attract new talent into the banking industry. Brooke provides valuable insights on maintaining integrity, continuous learning, and embracing change. This episode is packed with productive thoughts and expert perspectives on how banks can navigate and thrive in the rapidly changing financial landscape. Thanks to show sponsor, BankTech Ventures. Chapter Markers  00:00 Preview 00:57 Intro 01:13 Sponsor 01:47 Guest Introduction: Brooke Ybarra 02:59 The Intersection of Banking and Technology 04:24 Current State of Innovation in Banking 05:50 Challenges and Opportunities for Banks 08:01 The Role of ABA in Banking Innovation 17:29 Diversifying Revenue Streams for Banks 22:10 Infrastructure Challenges in Banking 26:04 The Digital Transformation Imperative 28:38 Fraud Concerns in Digital Banking 29:49 The Importance of Online Presence 30:58 AI in Banking: Current State and Future Prospects 34:55 Customer Expectations and Personalization 37:26 Challenges in Data Infrastructure and Literacy 39:30 Finding the Right Technology Partners 41:11 Attracting Talent to the Banking Industry 44:10 Non-Bank Competition and Regulation 46:31 Brooke's Journey to the ABA 49:41 Brooke's Core Values 51:13 Brooke's Habits/Rituals 52:37 Advice for Early Professionals 54:48 Outro

Cordiant Digital Infrastructure Ltd (LSE:CORD) Managing Director Atul Roy joined Stephen Gunnion in the Proactive studio to discuss the evolving role of data infrastructure. Roy provided an overview of data centres, explaining their purpose, history, and how they serve as the backbone for storing and processing data. He highlighted the different types of data centers, including enterprise, co-location, interconnected, edge, and hyperscale facilities, and explained how advancements like AI and cloud services are driving unprecedented demand. "We are seeing a very solid growth in our data centre portfolio," Roy said, emphasising the critical role these facilities play across industries like healthcare, transportation, and communication. Roy also addressed AI's impact on data centre usage, detailing how large language models and automated systems require extensive processing power and infrastructure. Cordiant Digital's strategy focuses on edge, interconnect, and co-location data centres, with planned expansions in regions including Europe and North America to meet growing demand. Cordiant Digital, across its portfolio companies, invests in 9 data centres with a combined 18.3MW of power capacity. Visit Proactive's YouTube channel for more insightful interviews like this. Don't forget to give the video a like, subscribe, and enable notifications for future content. #CordiantDigital #DataCenters #AIInfrastructure #EdgeComputing #DigitalTransformation #ProactiveInvestors #TechInnovation #CloudServices #AIRevolution #DataCenterTrends

On this episode of the Six Five Webcast - Infrastructure Matters, hosts Camberley Bates, Keith Townsend, and Dion Hinchcliffe dive into the announcements from CES 2025 and their implications for data centers and data infrastructure moving forward. Their discussion covers: Nvidia's groundbreaking launch at CES 2025, featuring the Project Digits personal AI supercomputer, the GB-200 data center superchip equipped with 72 Blackwell GPUs, and the debut of the Cosmos AI-friendly world model. The evolution and growing significance of scale-out and parallel file systems in facilitating AI workloads within enterprises. Emerging demands for more sophisticated integration and management of AI-focused data pipelines, spotlighting the roles of data lakes, streaming data, and vector databases. The accelerated transition towards more efficient and compact solid-state storage solutions, driven by the intensive needs of AI computing environments.  

Originally recorded 1/15/25 1) Trump to have a "Inaugural Crypto Ball" 2) South Korea for institutional crypto trading 3) China Using Blockchain for Data Infrastructure 4) CMC Yearbook '24-'25 5) Tether Moving to El Salvador 6) Sony Launches Soneium 7) IonQ Partners With USAF Research Lab Source Links:https://www.blockhead.co/2025/... 2) https://www.theblock.co/post/3... 3) https://www.theblock.co/post/3... 4)https://coinmarketcap.com/comm... 5) https://decrypt.co/300657/stab...https://www.benzinga.com/marke... 6) https://www.coindesk.com/tech/... *https://bitcoinist.com/soneium...* 7) https://www.thenew.money/artic... My links: beacons.ai/kamasense

Today's guest is Sumayah Rahman, Director of Data Science – Machine Learning and Infrastructure at Cedar. Founded in 2016, Cedar came to their co-founder after a nightmarish personal journey through the healthcare system led to confusion, frustration and disappointment. One thing was clear: The system needed to change. Because when the patient experience is convenient and clear, it leads to significantly better outcomes for providers, payers and the people they serve. Cedar's mission is to make healthcare more affordable and accessible through their consumer-friendly platform. Sumayah leads the Machine Learning and Data Infrastructure at Cedar, where they build data infrastructure and tooling that transforms and organizes data in a way that enables insights and data products. Furthermore, they work to improve the Cedar Suite by developing and deploying data-powered features that utilize machine learning and rules-based algorithms. Their ultimate goal is to create the best healthcare financial engagement platform - that's powered by data science, smart product design and personalization - to help make healthcare more affordable and accessible for all. In this episode, Sumayah talks about: Her diverse background in health, FinTech, data science & behavioral economics, Leading AI/ML initiatives to improve patient financial experiences at Cedar, Growing ML efforts at Cedar to drive product and strategy, Her career journey from Apple to Cedar, blending tech and strategy, Cedar's bold, collaborative innovation with actionable teamwork, Introducing AI-driven Cedar Support to enhance healthcare billing efficiency, Hiring ML and AI experts with structured problem-solving, Valuing impactful, patient-focused work guided by AI principles

Tercept is a data infrastructure provider specializing in supporting ad tech and media companies by streamlining the collection, processing, and visualization of monetization and marketing-related data. Founded in 2018, the company offers tools and services to integrate, normalize, and manage data from over 400 sources, enabling clients to transform raw data—such as logs from ad servers and third-party platforms—into actionable insights through customizable dashboards and role-based access. Tercept caters to both companies with limited technical resources through fully managed solutions and more sophisticated teams seeking customizable pipelines, positioning itself as a flexible partner for addressing complex data infrastructure challenges. Recorded: January, 2025 Learn more about your ad choices. Visit megaphone.fm/adchoices

Highlights from their conversation include:Overview of Parabola (1:20)Alex's Background Leading to Founding Parabola (2:51)Features of Parabola (6:14)Skepticism Towards Spreadsheets (10:16)Customer Examples (14:10)Importance of Data Infrastructure (16:45)Combining Expertise with AI (19:14)A Founder's Journey (20:40)The First Marketing Hire in B2B Businesses (21:10)Getting Attention in Legacy Industries (24:26)Focus and Prioritization (27:36)Managing Team Dynamics (29:14)Segment: This or That? to Close the Episode (30:06)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/

Data is the fuel that powers the modern world. In this video, Charles Link, Senior Director of Data and Analytics at Reworld Waste, shares insights into building a robust data infrastructure that drives sustainable growth. Please visit our website to get more information: https://swangroup.net/ Charles has created an award-winning data “supply chain” to support Reworld's eco-friendly mission, ensuring that data empowers every business goal, from real-time insights to ambitious AI projects.Join us as we explore:How businesses can leverage strong data foundations for growthStrategies for creating efficient, sustainable data systemsThe role of ethical data practices in AI implementationDon't miss out on learning how data can transform industries toward a greener future! Remember to subscribe, like, and comment your thoughts on data-driven sustainability.Links from this episode:Get to know more about Charles Link: https://www.linkedin.com/in/charles-a-link Learn more about Reworld Waste: https://www.reworldwaste.comThis video is about The Power Of Data Infrastructure In Business Sustainability - Charles Link's Strategy. But It also covers the following topics:Charles Link InterviewData For Environmental ImpactData System For Companies

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Chia Yang, co-founder of whyhow.ai, a company specializing in data infrastructure and AI-powered knowledge graphs. They discuss the pivotal role of knowledge graphs in AI, particularly in enhancing structured search and reasoning, contrasting them with more stochastic systems like large language models (LLMs). Chia explains how knowledge graphs allow for more structured, reliable connections between data, and how this impacts the development of production-grade AI systems. He also touches on the limitations of LLMs, the significance of neurosymbolic approaches, and the future of AI reasoning. For further resources, Chia encourages listeners to visit whyhow.ai, check out their Medium articles, and join the discussion on their Discord channel.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:26 Understanding Knowledge Graphs02:32 The Role of Knowledge Graphs in AI05:08 Challenges and Limitations of LLMs09:51 Production Grade Systems and SOPs13:17 Competency Crisis and Real-World Problems18:11 The Future of Human and Machine Collaboration21:03 Exploring Social Inequality and Learning Challenges21:57 The Importance and Complexity of Data22:44 Understanding Knowledge Graphs and LLMs24:29 Building Practical Systems with LLMs25:42 The Evolution of Knowledge Graphs29:12 Technical Aspects of the Platform31:52 Philosophical Insights on Language and AI36:48 Future Milestones and Beta Program38:24 Final Thoughts on Knowledge GraphsKey InsightsThe Power of Knowledge Graphs: Knowledge graphs are central to creating structured representations of data, enabling more reliable and hierarchical relationships between information. They play a crucial role in enhancing AI systems' ability to retrieve relevant information and reason through complex problems, contrasting with the more flexible but less deterministic nature of LLMs.Limitations of Large Language Models: While LLMs have revolutionized AI with their probabilistic approach, they often struggle with reasoning and structured outputs. Their reliance on semantic similarity leads to occasional inaccuracies, known as hallucinations, highlighting the need for more structured, rule-based systems like knowledge graphs to complement their capabilities.Neurosymbolic Systems as the Future: There is growing interest in neurosymbolic systems, which combine the strengths of both neural networks and symbolic reasoning systems. This approach promises to overcome the limitations of LLMs by incorporating structured knowledge representation, improving AI's ability to perform reliable and scalable reasoning tasks.Production-Grade AI Systems Require Structure: As Chia explains, building AI systems ready for large-scale, real-world applications requires more than just probabilistic models. Introducing structured frameworks, like those provided by knowledge graphs, allows for more predictable and controlled outputs, which are essential for systems that need to operate reliably in high-stakes environments.Human Expertise and AI Collaboration: Non-technical domain experts, such as doctors or engineers, are key to building effective AI systems. Their specialized knowledge helps refine how data is represented within a knowledge graph, making it more accurate and useful for specific industry applications, demonstrating the importance of human-AI collaboration.The Role of SOPs in AI: Standard operating procedures (SOPs) are crucial not only for humans in high-stakes professions but also for AI systems. Chia draws parallels between the structured guidance provided by SOPs and how AI can benefit from similar rule-based structures to ensure accurate, repeatable outcomes, especially in critical fields like healthcare and engineering.The Evolution of AI Reasoning: Chia highlights that while LLMs are powerful, the next big leap in AI will likely come from improving reasoning capabilities. Autonomous agents and AI systems that can follow structured paths and make decisions based on a combination of stochastic and symbolic methods will bring AI closer to AGI (artificial general intelligence).

Enterprise data is everywhere: on prem, at the edge, and across the public cloud. Storing and managing that data involves more than just SSDs and spinning disks; it’s about building and operating a data infrastructure. On today’s Day Two DevOps podcast, host Ned Bellavance explores the idea of data infrastructure with Jeff Baxter, VP of... Read more »

Enterprise data is everywhere: on prem, at the edge, and across the public cloud. Storing and managing that data involves more than just SSDs and spinning disks; it’s about building and operating a data infrastructure. On today’s Day Two DevOps podcast, host Ned Bellavance explores the idea of data infrastructure with Jeff Baxter, VP of... Read more »

Enterprise data is everywhere: on prem, at the edge, and across the public cloud. Storing and managing that data involves more than just SSDs and spinning disks; it’s about building and operating a data infrastructure. On today’s Day Two DevOps podcast, host Ned Bellavance explores the idea of data infrastructure with Jeff Baxter, VP of... Read more »

On this episode of the Six Five Webcast Infrastructure Matters, hosts Camberley Bates, Steven Dickens, and Keith Townsend delve into the transformative world of Storage East AI.  They bring their extensive expertise to explore the latest advancements in AI storage solutions and how they're reshaping the infrastructure landscape.  Their discussion covers: The evolving requirements of storage systems in AI-driven environments How AI is changing the landscape of data storage solutions The challenges and opportunities presented by AI in storage architectures Insights into the future of storage technologies powered by artificial intelligence Best practices for integrating AI into existing storage infrastructures  

Despite all the advances in fintech lending, the way data has been furnished to the credit bureaus has remained largely unchanged for several decades. We still operate on a 30-day payment cycle with no allowance for real time data. Not to mention all the recent credit innovations such as BNPL and short-term cash advances. This is about to change.My next guest on the Fintech One-on-One podcast is Christian Widhalm, the CEO of Bloom Credit. They have created a system that can work with cash flow data, can work with BNPL, can work with real time payment data, all while staying within the legacy confines of the Metro 2 data format of the credit bureaus.In this podcast you will learn:How Christian helped the founder of Bloom Credit get things going.Why Bloom Credit pivoted from B2C to B2B.What convinced him to join as CEO in 2021.The problems with Metro 2, the 26-year-old credit bureau data format.How their solution works as the intermediary between the bureaus and lenders.How Bloom Credit works with real time payment data.Why they store the payment data themselves.The types of FIs using Bloom Credit today.How Bloom Plus works and how it is different from Experian Boost.How Bloom Plus can help people build credit without taking on debt.The key trade lines from a checking account that are reportable to the bureaus.How new immigrants and new adults can enter the credit system.Why this is such a great opportunity for community banks and credit unions.How winning Finovate Best in Show in May has helped Bloom Credit over the last few months.Christian's vision for Bloom Credit.Connect with Fintech One-on-One: Tweet me @PeterRenton Connect with me on LinkedIn Find previous Fintech One-on-One episodes

Coverage & analysis from Six Five Media at NetApp Insight 2024. Host Daniel Newman is joined by NetApp's Gabie Boko, CMO, for a conversation on how Intelligent Data Infrastructure (IDI) is supporting business growth and agility as they navigate the complexities of hybrid and multi-cloud strategies. Their discussion covers: The support IDI provides to businesses adopting hybrid and multi-cloud strategies for growth and agility Exciting trends and technologies in cloud computing that impact IDI significantly How NetApp's IDI aids in better decision-making and real-time analytics in big data utilization Practical advice for companies aiming to enhance their data infrastructure, focusing on cost concerns and resource management  

In episode 55 of the Six Five Webcast Infrastructure Matters, hosts Steven Dickens and Camberley Bates from The Futurum Group dive into recent reports on changes in cloud deployments. including looking into more reports on repatriation and public cloud trending, and what that means for new technologies being introduced to the markets, including announcements from Oracle and Lenovo. They also discuss VMware and what that means with the cloud. Finally, our program extends our hearts to Brian Gong's family and friends due to his passing. Their discussion covers:  Honoring Brian Gong Cloud Adoption Trends and how the focus has shifted from cloud first to application placement, influenced by the AI boom and cost concerns. How companies are evaluating the best platform for each workload rather than making blanket decisions about cloud migration VMware trending, for migration and TCO analysis of the options The strategic importance of partnerships in delivering vertical applications, including data effective AI training New announcement from Lenovo, plus the impact of the advanced liquid cooling technology of Neptune  

In this episode of Breaking Changes, Postman Head of Product-Observability Jean Yang sits down with Nick Schrock, the co-creator of GraphQL, to dive into the fascinating journey behind GraphQL's development. They discuss how GraphQL transitioned from an internal system at Facebook to a widely adopted technology—as well as how Nick's newest venture, Dagster Labs, is revolutionizing data orchestration with asset-oriented pipelines. This conversation dives deep into the realm of data engineering and its transformative potential for businesses. Nick and Jean also share insights into the intersection of AI and software engineering, and Nick offers his perspective on responsible AI development.   For more on Nick Schrock, check out the following: LinkedIn: https://www.linkedin.com/in/schrockn/ Twitter: https://twitter.com/schrockn GraphQL Website: https://graphql.org/   Follow Jean on Twitter/X @jeanqasaur. And remember, never miss an episode by subscribing to the Breaking Changes Podcast on your favorite streaming platform or Postman's YouTube Channel—just hit that bell for notifications. #BreakingChanges #data #postman #grahpql #TechLeadership #ai #podcast

Currently serving as President of Diode Ventures, the infrastructure development arm of Black & Veatch, Brad Hardin has worked as a LEED-accredited architect, construction manager, and technology leader in a national and international capacity with a focus on business development/procurement, technology strategy, and growth. Join me in this week's conversation with Brad as we discuss the crucial role of infrastructure development for the future of artificial intelligence and how to integrate advanced technology effectively and sustainably while highlighting the significance of a strong, collaborative team and a culture of continuous learning.Topics covered in this episode include:* the challenges of archaic systems* benefits of prefabrication and automation in construction* the fascinating possibilities of quantum computing * community engagement and public perception* the role of humans in a tech-driven world Join the conversation

As practical applications of AI are rolled out, they are increasingly being deployed on-premises at scale. We are wrapping up this season of Utilizing Tech with Solidigm focused on AI Data Infrastructure by discussing practical deployment considerations with Ariel Pisetzky, VP of Information Technology and Cyber at Taboola in a discussion with Jeniece Wnorowski and Stephen Foskett. Companies like Taboola are built on data and have been deploying AI-driven applications for years. Generative AI brings new capabilities but is part of a spectrum of solutions that leverage data to produce results for customers. As applications mature, many companies are looking to bring them back on-premises, and this trend will likely accelerate given the cost of AI infrastructure as-a-service offerings. Owned infrastructure can also deliver beyond expected lifespans, representing a potential windfall for businesses that can continue to use deprerciated hardware. This is especially true of large flash drives, which have proven much more reliable than initially predicted. Although it is tempting to buy the biggest, fastest infrastructure to extend the lifespan of equipment, Pisetzky recommends focusing on equipment that is flexible and can be re-purposed in other ways in the future. Server storage is unique in that it is easy to upgrade and replace it in place, even hot-swapping drives, and large lives have a very long lifespan. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠⁠⁠https://www.linkedin.com/in/sfoskett/⁠⁠⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: ⁠⁠⁠https://www.linkedin.com/in/jeniecewnorowski/⁠ Guest: Ariel Pisetzky, VP of Information Technology and Cyber, Taboola: https://www.linkedin.com/in/ariel-pisetzky/ Follow Utilizing Tech Website: ⁠⁠⁠⁠https://www.UtilizingTech.com/⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠⁠⁠ Tech Field Day Website: ⁠⁠⁠⁠https://www.TechFieldDay.com⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠⁠⁠ X/Twitter: ⁠⁠⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

While data science can transform public sector policy-making, places like Lebanon lack the data infrastructure and governance rules needed to support public sector data analysis. Professor Lama Moussawi and Raghda Kawass at the Suliman S. Olayan School of Business, American University of Beirut, examine how Lebanon can promote data analytics to improve policy-making and service delivery.Read more in Research FeaturesRead the original research: doi.org/10.1080/01616846.2017.1313045

In this episode of Infrastructure Matters, hosts Kirsta Macomber and Camberley Bates walk through the current perspectives of VMware transitions (or not) plus announcement from NetApp on Cloud and Druva's offerings.   Key topics include: NetApp announced Blue XP Workload Factory aimed at automating and managing cloud workloads like SQL, Oracle, and SAP for VMware environment. Other announcements covered from NetApp included expansion of services with Cloud Providers, including Block Storage offerings with AWS and data protection for Azure and GenAI enablement.  GenAI highlights with NetApp Ontap leveraging capabilities like FlexClone and Snapshots for efficient data management and training. Druva's expansion of threat hunting capabilities and the introduction of managed detection and response services within their backup environments. The critical decisions enterprises must make regarding VMware, from potential migrations to competing platforms like Kubernetes-based solutions, and the implications for business continuity and competitive edge. The strategic challenges enterprises face when considering VMware migrations, including the complexities of managing costs, operational impacts, and infrastructure readiness for alternative platforms.  

Grow Your Next Gen LeadersTom Mertz, COO of T5 Data Centers. shares his strategy for cultivating talent, fostering mentorship, and building a resilient leadership pipeline.Next Generation leaders are pivotal for your organization's future, offering fresh perspectives, challenging the status quo, and offering ideas on emerging technologies. With Data Centers driving the tech world forward, Tom provides invaluable insights into their crucial role moving forward. Whether you're an executive, HR professional, entrepreneur, or aspiring leader, unlock actionable insights that empower your organization and elevate your team's potential.Tom has served in the data center industry for over 20 years holding many different leadership roles from sales, operations and CEO.He's also coached youth, middle school and high school football for 12 years.T5 Data Centers supports companies that are changing the world through AI and technology innovation with their development, construction, and data center operation services. T5 develops build-to-suit data center solutions across their campuses, and they uniquely deliver construction and facility management as services within their customer's own data centers. With nearly two decades of experience successfully managing execution and operations risks, their customers can be confident that T5 will safely deliver on their commitment to Forever On performance.LinkedIn Profile https://www.linkedin.com/in/tomjmertzCompany Link: https://t5datacenters.com/What You'll Discover in this EpisodeCoaching Championship Football…The Big Lesson from 6 State Titles.A Strategy to Hold the Team Accountable.The Rise of the Data Center, and Why They are VITAL.The AI Effect on Data Infrastructure.How to Communicate a Powerful Vision.A Hack to Block Out the Noise.What his First Job Taught Him about Leadership.The One Trait He's Instill in Every Employee.A Failure that Led to his Success.A Tool that Boosts Productivity.-----Connect with the Host, #1 bestselling author Ben FanningSpeaking and Training inquiresSubscribe to my Youtube channelLinkedInInstagramTwitter

In this episode of Infrastructure Matters, hosts Camberley Bates, Steve Dickens and Krista Macomber discuss developments around security, AI, and more.  Key topics include: The Futurum Group's Cybersecurity Decision Maker IQ Data Infinidat's InfiniSafe Automated Cyber Protection IBM's Granite Model for AI IBM's investments in Wimbledon Investments in components for AI PCs from Samsung, SK Hynix, Kioxia, and others.  

In this episode of Infrastructure Matters, hosts Camberley Bates, Steve Dickens and Krista Macomber check out the impact of data and the actions in terms of sovereignty, management, security all in the scope of the AI craze.  Key topics include: The latest on data sovereignty, including where data resides and its ownership, particularly in the context of regulatory frameworks like the Digital Operational Resiliency Act (DORA) in Europe. The meaning of Oracle's recent billion-dollar investment in Spain, and the importance of data center locations and the concentration risks.  How has data management moved with the investment in AI, or has it?  How AI has is transforming the call centers and job satisfaction, an example of the power of AI Quick review on Fortra, penetration testing and vulnerability validation and how being used to further protect enterprises.   

As the volume of data supporting AI applications grows ever larger, it's critical to deliver scalable performance without overlooking power efficiency. This episode of Utilizing Tech, sponsored by Solidigm, brings Chris Gladwin, CEO and co-founder of Ocient, to talk about scalable and efficient data platforms for AI with Jeniece Wnorowski and Stephen Foskett. Ocient has developed a new data analytics stack focused on scalability with energy efficiency for ultra-large data analytics applications. At scale, applications need to incorporate trillions of data points, and it is not just desirable but necessary to enable this without losing sight of energy consumption. Ocient leverages flash storage to reduce power consumption and increase performance but also moves data processing closer to the storage to reduce power consumption further. This type of integrated storage and compute would not be possible without flash, and reflects the architecture of modern processors, which locate memory on-package with compute. Ocient is already popular in telco, e-commerce, and automotive, and the scale of data required by AI applications is similar, especially as concepts like retrieval-augmented generation are implemented. The conversation around datacenter, cloud, and AI energy usage is coming to the fore, and companies must address the environmental impact of everything we do. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠⁠https://www.linkedin.com/in/sfoskett/⁠⁠ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: ⁠⁠https://www.linkedin.com/in/jeniecewnorowski/⁠ Guest: Chris Gladwin, CEO and Cofounder, Ocient: https://www.linkedin.com/in/chris-gladwin-7ba42b/ Follow Utilizing Tech Website: ⁠⁠⁠https://www.UtilizingTech.com/⁠⁠⁠ X/Twitter: ⁠⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠⁠ Tech Field Day Website: ⁠⁠⁠https://www.TechFieldDay.com⁠⁠⁠ LinkedIn: ⁠⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠⁠ X/Twitter: ⁠⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

For our fifth episode of Working Smarter we're talking to sports scientist Natalie Kupperman. She's an assistant professor of data science at the University of Virginia where she studies the use of biometrics, wearables, and AI-powered tools for athlete monitoring in sport.Whether it's a machine learning algorithm trained on video footage from practice, a force plate sensor in the weight room floor—or some combination of the two—Kupperman is interested in how new technology can help reduce the risk of injury and optimize athletic performance for professional athletes and amateurs alike.Hear Kupperman discuss a day in the life of a sports scientist, the importance of getting all of your data into one place, and why there will always be some injuries we can't prevent.Show notes:To learn more about Natalie and her work, you can visit her website or her University of Virginia faculty pageFind Natalie's research on Google Scholar~ ~ ~Working Smarter is a new podcast from Dropbox about how AI is changing the way we work and get stuff done.You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.aiThis show would not be possible without the talented team at Cosmic Standard, namely: our producers Samiah Adams and Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to Benjy Baptiste for production assistance, our marketing and PR consultant Meggan Ellingboe, and our illustrators, Fanny Luor and Justin Tran. Our theme song was created by Doug Stuart. Working Smarter is hosted by Matthew Braga.Thanks for listening!

Cutting-edge AI infrastructure needs all the performance it can get, but these environments must also be efficient and reliable. This episode of Utilizing Tech, brought to you by Solidigm, features Davide Villa of Xinnor discussing the value of modern software RAID and NVMe SSDs with Ace Stryker and Stephen Foskett. Xinnor xiRAID leverages the resources of the server, including the AVX instruction set found on modern CPUs, to combine NVMe SSDs, providing high performance and reliability inside the box. Modern servers have multiple internal drive slots, and all of these drives must be managed and protected in the event of failure. This is especially important in AI servers, since an ML training run can take weeks, amplifying the risk of failure. Software RAID can be used in many different implementations, with various file systems, including NFS and high-performance networks like InfiniBand. And it can be tuned to maximize performance for each workload. Xinnor can help customers to tune the software to maximize reliability of SSDs, especially with QLC flash, by adapting the chunk size and minimizing write amplification. Xinnor also produces a storage platform solution called xiSTORE that combines xiRAID with the Lustre FS clustered file system, which is already popular in HPC environments. Although many environments can benefit from a full-featured storage platform, others need a software RAID solution to combine NVMe SSDs for performance and reliability. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠https://www.linkedin.com/in/sfoskett/⁠ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: ⁠https://www.linkedin.com/in/acestryker/ Davide Villa, Chief Revenue Officer at Xinnor: https://www.linkedin.com/in/davide-villa-b1256a2/ Follow Utilizing Tech Website: ⁠⁠https://www.UtilizingTech.com/⁠⁠ X/Twitter: ⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠ Tech Field Day Website: ⁠⁠https://www.TechFieldDay.com⁠⁠ LinkedIn: ⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠ X/Twitter: ⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

In this episode of Infrastructure Matters, hosts Camberley Bates, Steve Dickens and Krista Macomber give the rundown on conferences and announcements from Broadcom Mainframe Analysts event, NetApp's Analyst event, Splunk and AWS reinforce conferences, plus announcements from Oracle.  Key topics include:  NetApp Analyst Event: NetApp hosted an event in New York, celebrating their recent success and introducing their new "intelligent data infrastructure" positioning covering their focus on unified storage, managing data across hybrid environments seamlessly advancements in AI and data management. Broadcom Mainframe  Analyst Event: Broadcom demonstrated their continued investment and growth in mainframe software, including new capabilities such as Watchtower and  their investment in the "vitality program" focused on training and hiring non-traditional candidates for high-paying system programming roles. AWS reInforce: This AWS event focused on cloud security, highlighted AWS's efforts to enhance their security infrastructure and customer tools, including AI models and new security features.  Splunk Acquisition by Cisco: Splunk, recently acquired by Cisco, showcased their commitment to innovation and integration within Cisco's ecosystem and maintaining innovation momentum while integrating with Cisco's existing technologies like AppDynamics and Thousand Eyes. Oracle Cloud and Google: Oracle & Google announce collaborating to provide customers with interoperability between their respective cloud platforms. 

Organizations seeking to build an infrastructure stack for AI training need to know how the data platform is going to perform. This episode of Utilizing Tech, presented by Solidigm, includes Curtis Anderson, Co-Chair of the Storage Working Group at MLCommons, discussing storage benchmarking with Ace Stryker and Stephen Foskett. MLCommons is an industry consortium seeking to improve AI solutions through joint engineering. The organization publishes the well-known MLPerf benchmark, which now includes practical metrics for storage solutions. The goal of MLPerf Storage is to answer the key question: Will a given data infrastructure support AI training of a given scale. The organization encourages storage vendors to run the benchmarks against their solutions to prove the suitability to support specific workloads. The AI industry is already shifting its focus from maximum scale and performance to more-balances infrastructure using alternative GPUs, accelerators, and even CPUs, and is increasingly concerned about price and environmental impact. The question of data preparation is also rising, and this generally uses a different CPU-focused solution. MLPerf Storage is focused on training today and will soon address data preparation, though this can be quite different for each data set. The next MLPerf Storage benchmark opens soon, and we encourage all data infrastructure companies to get involved and submit their own performance numbers. Hosts: Stephen Foskett, Organizer of Tech Field Day: ⁠https://www.linkedin.com/in/sfoskett/⁠ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: ⁠https://www.linkedin.com/in/acestryker/ Guest: Curtis Anderson, Co-Chair MLCommons Storage Working Group: https://www.linkedin.com/in/curtis-anderson-174aa/ Follow Utilizing Tech Website: ⁠⁠https://www.UtilizingTech.com/⁠⁠ X/Twitter: ⁠⁠https://www.twitter.com/UtilizingTech ⁠⁠ Tech Field Day Website: ⁠⁠https://www.TechFieldDay.com⁠⁠ LinkedIn: ⁠⁠https://www.LinkedIn.com/company/Tech-Field-Day ⁠⁠ X/Twitter: ⁠⁠https://www.Twitter.com/TechFieldDay ⁠⁠ Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,

In this conversation, we explore the distinction between construction tech and prop tech, with a focus on the former. Construction tech is a project-based business that optimizes supply chains, while prop-tech is an operations-based business that focuses on real estate transactions and utilization. The conversation delves into:The different segments within construction tech, including architecture, engineering, construction, and supply chain technology.The importance of outcome-based business models.The role of AI and data infrastructure in the construction industry.The conversation concludes with an analysis of the funding trajectory of construct tech and its potential for future growth. Andreas and Patric examine the waves of technology in the construction industry and the importance of data connectivity and harmonization. They also touch on the challenges of pre-manufactured housing and the fallacies in VC fund strategies. Patric shares insights on their fund model, which is vertically dedicated, global, and focused on early-stage investments. They prioritize preempting follow-on rounds and emphasize the importance of staying involved and not delegating decision-making. Patric also offers advice to young people in the industry, including thinking from a DPI perspective and finding differentiation.About the guest.Patric Hellermann, the Founding General Partner of Foundamental, an $84M EUR venture capital fund focusing on construction technology, with $100M EUR Fund III just launched.About the firm.Foundamental is led by three GPs, 1 in the US, 1 in Europe, and 1 in Pacific Asia. They are investing in AEC-Tech: 3D-design, Construction, Renovation, Supply Chain & Logistics, and Blue-Collar Work, starting from day zero up to Series A.Portoflio highlights count Infra.Market (Series A), Enter (pre-seed), Speckle (pre-seed), Rayon (pre-seed), Metalbook (pre-seed), SafeAI (seed), and Wizfreight (seed).Key facts include a 94% follow-on rate among Fund-1 companies, the vast majority of which they invested at seed, top-decile returns in both funds, incl. top-decile DPI (Fund-2 actually top 3-5% currently), circa 10 portfolio companies have achieved net-profitability.Go to eu.vc for our core learnings and the full video interview

Kevin Thuot - Managing Partner of JetRock Analytics joins the podcast to discuss how Minerals & NonOp Companies can leverage data infrastructure, AI, and analytics to improve their business. A big thanks to our 5 Minerals & Royalties Podcast Sponsors: --R. Reese & Associates: If you are interested in outsourcing and/or bolstering your legal department, then please contact Rachel Reese at 832-831-2289 or visit www.rreeselaw.com to learn more. --Riverbend Energy Group: If you are interested in discussing the sale of your Minerals and/or NonOp interests w/ Riverbend, then please visit www.riverbendenergygroup.com for more information --Farmers National Company: For more information on Farmer's land management services, please visit www.fncenergy.com or email energy@farmersnational.com --Opportune: For more information on Opportune's services, please visit www.opportune.com --The Texas Minerals Company: For more information on The Texas Minerals Company's current deal-flow pipeline, please email Toby Martinez at toby@thetexasmineralcompany.com or visit www.thetexasmineralcompany.com

Satya, co-founder of Scispot, joins Startup Project's Nataraj to share his journey from leading a platform team at Expedia to starting a biotech company that solves data challenges for life science labs. In this episode, we discuss: Satya's unique career path, from fashion startup owner to data expert. The founding story of Scispot, tackling the problem of unanalyzed data in biotech. The YC experience and its valuable lessons, including the importance of market signals. Scispot's growth and traction, serving a diverse range of lab-based businesses. The exciting future of AI in biotech and Scispot's role in empowering innovation. Challenges and strategies for prioritizing features and building a sustainable platform. Building a company in Seattle and the evolving startup ecosystem. Advice for aspiring entrepreneurs interested in biotech and the power of fresh perspectives. Tune in to learn about Scispot's vision for the future and Satya's insightful perspectives on entrepreneurship, data, and the evolving landscape of biotech. Connect with Satya: https://www.linkedin.com/in/satyaravisingh/ Connect with Nataraj: https://www.linkedin.com/in/natarajsindam/ About the host: Nataraj is a Senior Product Manager and the host of the ‘Startup Project' podcast. He also invests in startups with Incisive.vc and writes ‘100 Days of AI', an educational series on AI. #biotech #startups #YC #entrepreneurship #data #AI #Seattle #SizePort #lifesciences #podcast #StartupProject --- Send in a voice message: https://podcasters.spotify.com/pod/show/startupproject/message

Highlights from this week's conversation include:Matt KG's Background in Data (0:35)Challenges in purchasing data tools (1:28)Early experiences in data analysis (9:51)Matt's Transition to a subprime auto loan company (13:19Transition to RudderStack and software purchase decisions (17:36)Tech Problems: People and Process (22:02)Challenges in Purchasing Data Tools (22:55)Budget Constraints and Purchasing Decisions (24:46)Challenges with Platform Documentation (26:55)Metrics and Cost Efficiency (30:11)Risk and Conviction in Purchasing Decisions (32:53)Justification and Value Creation (38:17)Connecting Data to Business Value (42:03)Navigating Business Relationships (46:25)Empowering Analysts (49:54)Relational Capital and Team Competency (51:29)Final thoughts and takeaways (54:16)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In this podcast episode, Amir Bormand and guest Santona Tuli, the Head of Data at Upsolver, discuss the complexities of modern data projects and the evolving strategies for data design focused on data lake houses. They explore Upsolver's role in simplifying data ingestion and transformation, the challenges of adapting to advanced data projects without the right infrastructure, and the shift towards more accessible and abstracted data tools. Additionally, they touch upon the importance of aligning tool adoption with business needs, the potential pitfalls of rushing into trendy technologies without clear objectives, and the future of data deployment solutions. Highlights: 02:00 The Importance of Data Design Strategies 02:26 Challenges in Implementing Complex Data Projects 03:09 The Role of Data Infrastructure and Architecture 05:57 The Evolution of Data Projects and Infrastructure 06:33 The Inevitability of Adding More Data Projects 07:48 The Emergence of the Lakehouse Concept 08:38 The Journey to Cloud and Advanced Solutions 14:53 The Challenge of Modernizing Data Stack 20:29 The Role of Tools in Modern Data Stack 25:54 Risks of Pushing for Advanced Data Solutions---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.comHave questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Highlights from this week's conversation include:The Evolution of Data Processing (2:36)Ryan's Background and Journey in Data (4:52)Challenges in Transitioning to S3 (8:47)Impact of Latency on Query Performance (11:43)Challenges with Table Representation (15:26)Designing a New Metadata Format (21:36)Integration with Existing Tools and Open Source Project (24:07)Initial Features of Iceberg (26:11)Challenges of Manual Partitioning (31:49)Designing the Iceberg Table Format (37:31)Trade-offs in Writing Workloads (47:22)Database Systems and File Systems (55:00)Vendor Influence on Access Controls (1:01:58)Restructuring Data Security (1:03:39)Delegating Access Controls (1:07:22)Column-level Access Controls (1:14:19)Exciting Releases and Future Plans (1:17:47)Centralization of Components in Data Infrastructure (1:25:37)Fundamental Shift in Data Architecture (1:28:28)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

On this episode of Infrastructure Matters, host Steven Dickens is joined by BMC's Chad Reiber, Solution Engineer, and Tim Ceradsky, Director of Software Consulting, for a conversation on how modern enterprises can ensure operational resilience in the hybrid cloud environment, especially when dealing with mainframe data. Our discussion covers: The concept of operational resilience in the context of mainframe data within a hybrid cloud environment. The importance of immutable copies of mainframe data for ensuring operational resilience, and how they differ from traditional backup methods. The key benefits of strategically placing immutable copies of mainframe data across the hybrid cloud infrastructure to mitigate risks. Common challenges organizations face when implementing and managing immutable copies of mainframe data in the hybrid cloud. Strategies for leveraging immutable copies of mainframe data to enhance data availability and expedite recovery processes in hybrid cloud environments. Learn more at BMC.

Highlights from this week's conversation include:Kevin's background and work at Stripe (0:31)Evolution of Data Infrastructure at Stripe (2:18)Kevin's Interest in Data (5:29)Software Engineer or Data Engineer? (8:27)Speech Recognition Work at Amazon (11:06)Efficiency and Cost Management (15:50)Metadata and Query Analysis (18:38)Surprising Discoveries in Metadata Analysis (21:43)Optimizing Cost and Value (23:55)Product Sizing Stripe Data (26:39)Popular Tool for Data Interaction (30:08)Enabling Data Infrastructure Integration (35:22)Value of Data Pipelining for Stripe (39:32)Next Generation Product and Technology (43:54)Maximizing value in a decentralized environment (51:34)Future of open source projects in data infrastructure (57:59)Final thoughts and takeaways (59:02)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

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In this Sports Geek Throwback episode, Sean Callanan interviews Neda Tabatabaie, who is now Senior Vice President, Business Analytics & Technology at San Jose Sharks. They discussed setting up your data infrastructure as a foundation for your success. Show notes - https://sportsgeekhq.com/podcast/throwback/data-infrastructure-is-the-foundation-for-your-success-neda-tabatabaie

Jaxon Repp of HarperDB speaks with Brijesh Ammanath about distributed data infrastructure, including what it is and why it's important. They discuss the key factors that make distributed data infrastructure attractive, as well as challenges to implementing it. The episode explores the architecture and design principles, the key security considerations, and the transition factors for distributed data Infrastructure. Brought to you by IEEE Computer Society and IEEE Software.