Podcasts about data fabric

In de nieuwste aflevering van Techzine Talks wordt de recente overname van Informatica door Salesforce voor 8 miljard dollar onder de loep genomen. Deze strategische overname laat zien hoe belangrijk data is voor AI en daarmee voor de strategie van Salesforce. Wat maakt deze overname nu zo belangrijk? Coen en Sander analyseren de overname, wat dit betekent voor de markt en voor organisaties.Wat kun je verwachten in deze aflevering?- Diepgaande analyse van de technologie die Informatica toevoegt aan het Salesforce-ecosysteem;- Inzicht in de data-strategie achter deze overname en hoe deze past in Salesforce's AI-ambities;- Vergelijking met eerdere grote overnames zoals Slack, MuleSoft en Tableau;- Toekomstperspectief voor klanten van beide platformsWaarom is deze overname zo belangrijk?Informatica, een meer dan 30 jaar oud bedrijf gespecialiseerd in data-integratie, master data management en data governance, brengt cruciale technologie naar Salesforce die essentieel is voor het succes van AI-oplossingen. Waar MuleSoft sterk is in connectiviteit, blinkt Informatica uit in dataverwerking en -kwaliteit. Dat is precies wat nodig is voor Salesforce's Data Cloud, Einstein en Agentforce.De aflevering belicht hoe deze overname past in een breder patroon waarbij alle grote technologiebedrijven (Microsoft, Oracle, Google, AWS) investeren in 'data fabric'-technologieën als fundament voor hun AI-strategie.Hoofdstukken:02:15 - Wat is Informatica en waarom is het waardevol? 04:30 - Vergelijking met eerdere Salesforce-overnames (Slack, MuleSoft, Tableau) 07:45 - Data-integratie: MuleSoft vs. Informatica - de verschillen 10:20 - De cloud-transitie van Informatica's legacy-producten 13:40 - AI-strategie: Waarom data cruciaal is voor Salesforce's toekomst 16:55 - De concurrentiestrijd: Waarom IBM en anderen ook interesse hadden 22:10 - Integratiemogelijkheden binnen het Salesforce-ecosysteem 25:45 - Data Fabric: De grotere visie achter deze overname 28:00 - Conclusie: Wat betekent dit voor de enterprise-technologiemarkt?#SalesforceInformatica #TechOvername #DataIntegratie #SalesforceDataCloud #EnterpriseAI #DataManagement #CloudComputing #MasterDataManagement #TechStrategie #DataFabric #SalesforceEcosysteem #EnterpriseData #AIToekomst #TechAnalyse #DataGovernance

Is Data Fabric the key to solving AI challenges?I had a great chat with my good friend Kaycee Lai, Founder of Promethium, at Gartner Data & Analytics Summit in Orlando about the biggest trends shaping Data & AI today.We talked about why Data Fabric is the hot topic at the conference, what analysts and enterprise leaders are saying, and how companies are using Promethium to tackle AI and data challenges. Kaycee also shared some real-world use cases and what's next for Promethium.A must-watch for anyone thinking about the future of AI-driven data management!#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is data quality the real foundation for AI? At Gartner Data & Analytics Summit in Orlando, I had a great conversation with Gabriel Charvat (he/him) from Dun & Bradstreet on The Ravit Show, where we dug deep into the connection between data quality, data observability, and successful AI implementation.Gabriel shared how data quality is the foundation for everything they do with AI—because without trustworthy data, even the most advanced models fall short. We also talked about their use of Acceldata for data observability, ensuring reliability and visibility across their data pipelines.If your organization is thinking about implementing AI, start by asking: Can I trust my data?#data #ai #gartnerorlando2025 #theravitshow

In this episode, we explore how ServiceNow’s Agentic AI / AI Agent framework is revolutionizing enterprise workflows. Joined by Victor Chen, Outbound Product Manager at ServiceNow, we dive into how AI agents leverage data, workflows, and automation to drive efficiency and productivity at scale. Lern more on https://www.servicenow.comSee omnystudio.com/listener for privacy information.

John O'Brien, president of Radiant Advisors, joins host Andrew Miller to discuss the evolution of data architecture in the era of generative AI - including the importance of data management, biggest challenges with evloving, and the role of metadata. For more information about John's keynote at TDWI Transform West please visit Foundation for the Future: Data Architecture in the Era of AI. And to learn about the seminar John will be instructing please visit Active Metadata for Data Fabric. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

What happens when a company decides to redefine its identity? That's what I witnessed firsthand at the IT Press Tour in Silicon Valley, as CloudFabrix unveiled its transformation into Fabrix.ai—a move that marks more than just a rebrand, but a bold step into the future of AI-driven IT Operations. In this episode, I sit down with Raju Datla, CEO of Fabrix.ai, to explore this pivotal shift and the launch of their Agentic AI Operational Platform. We discuss why the evolution from CloudFabrix to Fabrix.ai is not just about a name change but revolutionizing how IT operations leverage AI agents for autonomous workflows, predictive analytics, and automated remediation. Fabrix.ai introduces Agentic AI, a new paradigm where AI-driven agents operate independently to solve IT challenges—without constant human intervention. These agents can detect anomalies, manage SLAs, predict system failures, and execute automated fixes. But how does this compare to traditional AIOps and ML-driven approaches? And what safeguards are in place to prevent AI hallucinations, bias, and errors in critical IT workflows? We'll unpack how Fabrix.ai's three foundational fabrics—AI Fabric, Automation Fabric, and Data Fabric—transform enterprise IT by combining AI-powered reasoning, real-time data processing, and intelligent automation. Raju shares insights into how large enterprises and telcos leverage this technology and how Fabrix.ai works with industry giants like Cisco, IBM, and Splunk to reshape IT operations. Beyond the tech, we dive into leadership lessons from a serial entrepreneur—how Raju has built a loyal team across multiple ventures, the mindset needed to create sustainable, high-impact businesses, and why passion should always come before profit. So, what does the future hold as we stand at the crossroads of AI-driven automation and IT modernization? Will Agentic AI usher in the long-promised era of fully autonomous enterprises? What are your thoughts? Could AI-driven agents transform IT as we know it? Let's continue the conversation.

EPISODE 159 | Guest: Andres Avalos, chief product officer for OfficeSpace Software The hybrid work model has become a permanent fixture in the modern workplace, but are you truly equipped to harness its full potential? In this episode, we delve into the critical components of a successful hybrid strategy, exploring the intersection of technology, strategic planning and evolving employee expectations. We also examine how forward-thinking organizations are adapting to this new paradigm and building workplaces that support both individual focus and collaborative teamwork. We discuss the importance of data-driven decision-making and the need for a human-centric approach to hybrid workplace design. Join us as we explore the future of work and how businesses can create a thriving environment for their employees, both now and in the years to come. Discover how OfficeSpace Software can help you effectively manage space and optimize the hybrid employee experience. Understand the challenges and opportunities in navigating the evolving relationship between employers and employees in a hybrid world. Learn how to align workplace policies with your talent strategy and company culture to boost productivity. Explore the concept of a "Data Fabric" and how it can inform better decisions about real estate, resources and employee engagement. Hear insights on how organizations can use AI right now and future-proof themselves for emerging technologies like advanced AI, AR and the Metaverse. See the full transcript HERE Learn more about solutions from OfficeSpace Software

Pradeep Karpur, partner with EY's AI and Data practice, joins host Andrew Miller to discuss the data fabric architecture - including defining the data fabric, challenges with implementation, and whether or not it is useful for AI applications. For more information on Pradeep's course at TDWI Transform West please visit An Introduction to Data Fabric Architecture. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Welcome to another insightful episode of Predictable B2B Success! Today, we're diving deep into the ever-evolving world of data observability with Ryan Yackel, a seasoned product strategy leader at IBM. Ryan's expertise helps transform complex data quality issues into streamlined, proactive solutions that drive business success. Join us as Ryan unpacks the critical role of data observability in today's digital age, linking it to broader data governance strategies that resonate at the executive level. He'll share his experiences from open-source conferences in Tel Aviv and New York and discuss the importance of a strong narrative design to differentiate your business in the crowded B2B tech space. Curious about the difference between basic alerting and comprehensive observability? Or how a well-crafted strategic narrative can shift your market positioning? Ryan's insights offer compelling industry knowledge and practical tactics for enhancing data reliability and governance. We'll also delve into how pilot testing and proof-of-concept initiatives can demonstrate real-world value, and the nuances of integrating data observability within IBM's robust tech ecosystem. Whether you're a data engineer, a marketing strategist, or a tech executive, this episode promises to open your eyes to new possibilities in data management. Tune in and discover how to elevate your data strategy to new heights! Some areas we explore in this episode include: Data Observability Campaigns: Awareness efforts and collaborations in the emerging data observability space.Community Engagement: Participation in open-source conferences and tech meetups to discuss technical deployments.Executive-Level Strategy: Aligning data observability with data governance to enhance prioritization.DIY Approach vs. Observability: Comparison between basic alerting/monitoring and comprehensive observability with ML detection.Strategic Narrative and Storytelling: The importance of a strong narrative for effective product communication.Pilot Testing for Proof of Concept: Using pilots to demonstrate the effectiveness of data observability solutions.Data Fabric and Data Mesh: IBM's hybrid architecture and integrating data observability.Data Quality and Observability: The importance of "data quality in motion" and evolving observability tools.Data Acquisition Strategy: Combining top-down and bottom-up approaches for integrating DataBank.IBM Acquisition: The impact of DataBank's acquisition by IBM and cultural integration with AI and quantum computing initiatives.And much, much more...

Many practitioners view data mesh and data fabric as mutually exclusive approaches to data strategy. However, these paradigms complement each other. Data mesh focuses on decentralization and autonomy; Data fabric ensures centralized integration and governance. Let's dive into how blending elements of both can offer flexibility and control to create the right fit for your organization's data strategy. Published at: https://www.eckerson.com/articles/blending-data-mesh-and-data-fabric-crafting-a-balanced-data-strategy-2118cd34-e463-4468-b150-bdaf9e1c541d

What is a Data Fabric? I had a fantastic discussion with Kaycee Lai, Founder of Promethium, on The Ravit Show. We covered some exciting topics around Data Fabric, the current landscape of AI adoption, and where the future of Data Fabric is heading. Kaycee shared some insightful thoughts on how organizations can better leverage Data Fabric to drive efficiency and innovation, and how AI is becoming an integral part of this transformation. Stay tuned for more such interviews from Big Data London! #data #ai #bigdatalondon2024 #theravitshow

Andreas und Carsten sprechen über die neuesten Trends aus der Data- und Analytics-Welt und werfen einen kritischen Blick auf die Entwicklungen in London. In dieser Episode diskutieren die beiden die Big Data London und was die Messe für die europäische Data- und Analytics-Szene bedeutet. Mit über 200 Ausstellern und einem Fokus auf generative KI und Datenprodukte war die Veranstaltung ein beeindruckendes Highlight. Carsten gibt Einblicke in neue Trends wie Data Observability und die wiederauflebende Diskussion um Datenkultur. Außerdem schauen sie auf die wachsende Bedeutung von Datenprodukten und fragen sich: Ist der Hype um Data Mesh schon vorbei oder nur eine Begrifflichkeit, die sich langsam ändert? Es gibt auch noch eine neue Rubrik und natüüüürlich die M&A News! Lohnt sich also mal wieder! ⪧ Studien des Monats - Data Mesh and Data Fabric 2024 - Global CPM Trends and Priorities Report 2025 ⪧ Events - The Heart of Data Mesh & Fabric - Würzburg (BARC) - data:unplugged Pre-Event - Hamburg - Testen von DWH- und BI-Systemen - Planning with Power BI (Webinar) - DATA festival #online - BI or DIE Level Up

Send us a textTalking data with Dima Spivak, Director of Product Management, StreamSets.  Data integration and real-time decision making.02:02 Dima Spivak is Here! 04:19 Why StreamSets?06:00 What is StreamSets?09:48 On Demand Expense11:34 Regulated Industries12:36 Secret Sauce14:41 A Competitive View15:50 Data Fabric and StreamSets18:25 StreamSets and AI21:12 Use Cases24:02 The Future of Streaming25:48 Quality and Testing31:19 For FunLinkedin: linkedin.com/in/dmitryspivakWebsite: https://www.ibm.com/blog/announcement/ibm-acquires-streamSets/Want to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textTalking data with Dima Spivak, Director of Product Management, StreamSets.  Data integration and real-time decision making.02:02 Dima Spivak is Here! 04:19 Why StreamSets?06:00 What is StreamSets?09:48 On Demand Expense11:34 Regulated Industries12:36 Secret Sauce14:41 A Competitive View15:50 Data Fabric and StreamSets18:25 StreamSets and AI21:12 Use Cases24:02 The Future of Streaming25:48 Quality and Testing31:19 For FunLinkedin: linkedin.com/in/dmitryspivakWebsite: https://www.ibm.com/blog/announcement/ibm-acquires-streamSets/Want to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Guest: Josh Liburdi, Staff Security Engineer, Brex Topics: What is this “security data fabric”?  Can you explain the technology? Is there a market for this? Is this same as security data pipelines? Why is this really needed? Won't your SIEM vendor do it? Who should adopt it? Or, as Tim says, what gets better once you deploy it? Is reducing cost a big part of the security data fabric story? Does the data quality improve with the use of security data fabric tooling? For organizations considering a security data fabric solution, what key factors should they prioritize in their evaluation and selection process? What is the connection between this and federated security data search? What is the likely future for this technology? Resources: BSidesSF 2024 - Reinventing ETL for Detection and Response Teams (Josh Liburdi) “How to Build Your Own Security Data Pipeline (and why you shouldn't!)” blog “Decoupled SIEM: Brilliant or Stupid?” blog “Security Correlation Then and Now: A Sad Truth About SIEM” blog (my #1 popular post BTW) “Log Centralization: The End Is Nigh?”  blog “20 Years of SIEM: Celebrating My Dubious Anniversary” blog “Navigating the data current: Exploring Cribl.Cloud analytics and customer insights” report OCSF  

"Data fabric plays a key role in providing trustworthy data to everyone in an organization."

As sources proliferate and business demands increase, the pressure on data teams grows by the day. The reality on the ground (and in the cloud) is apparent: Traditional data strategies must adapt! One solution that's gaining traction is a data fabric, a metadata-driven architecture designed to unify disparate data sources and streamline processes. It creates a unified view of an organization's information assets by integrating, governing, and securing data across on-prem, cloud, and hybrid environments. How can your organization benefit from this overarching data strategy? Check out this special episode of DM Radio to find out! Alla Zaykin of Athena Solutions will give a presentation about their methodology for implementing a data fabric. Robert Schoenfeld of Qlik will then do a deep dive on Qlik's Data Fabric. Host @eric_kavanagh will then lead a conversation about the component parts of an enterprise data fabric, how they come together, and the business benefits that will be generated. Attendees will learn: • What constitutes a data fabric from both an IT and business perspective • How this approach simplifies the creation of data products • Why automated workflows are ideal for improving data quality and governance • How to get started mapping your data fabric journey

As sources proliferate and business demands increase, the pressure on data teams grows by the day. The reality on the ground (and in the cloud) is apparent: Traditional data strategies must adapt! One solution that's gaining traction is a data fabric, a metadata-driven architecture designed to unify disparate data sources and streamline processes. It creates a unified view of an organization's information assets by integrating, governing, and securing data across on-prem, cloud, and hybrid environments. How can your organization benefit from this overarching data strategy? Check out this special episode of DM Radio to find out! Alla Zaykin of Athena Solutions will give a presentation about their methodology for implementing a data fabric. Robert Schoenfeld of Qlik will then do a deep dive on Qlik's Data Fabric. Host @eric_kavanagh will then lead a conversation about the component parts of an enterprise data fabric, how they come together, and the business benefits that will be generated. Attendees will learn: • What constitutes a data fabric from both an IT and business perspective • How this approach simplifies the creation of data products • Why automated workflows are ideal for improving data quality and governance • How to get started mapping your data fabric journey

A new directive set to be launched in Ireland in October 2024, could lead to 4,000 businesses in Ireland and their senior executives being personally liable and their organisations exposed to potential fines of up to €10 Million. The expanded Network and Information Security Directive (NIS2) is being implemented to ensure businesses classified as essential and important entities take appropriate measures to enhance their cyber vigilance and protect sensitive data. In response to these challenges, OpenSky, the business process automation specialists & Microsoft Solutions Partner for Data & AI who use their expertise to bring AI to the centre of digital transformations, have now launched a new Data Management and Governance service for public and private sector organisations. This new service by OpenSky, powered by Microsoft Fabric & Purview, applies a 'Data Fabric' approach as the strategy to connect, protect and make data accessible for organisations, aiming to ensure that they meet robust governance and regulatory compliance requirements. In addition their Data Fabric service allows organisations to build greater AI powered insights from connected data by breaking down internal data silos at scale across departments. Commenting on the new OpenSky offering which will address organisations concerns, Michael Cronin, managing director, said, "The NIS2 directive is reshaping how we approach data management in Ireland, both in the public and private sectors. It's an opportunity for us to lead by example, ensuring that our data strategies and AI implementations are secure, transparent, and aligned with the best practices in data governance." The NIS2 directive is an EU-wide legislation on cybersecurity that provides legal measures to increase the overall level of cybersecurity in the EU, and urgently puts pressure on public and private sector organisations to determine its impact on their current cybersecurity posture. The expanded NIS2 Directive is estimated to impact about 4,000 businesses in Ireland, which is significant considering less than 100 businesses in Ireland are currently impacted by NIS1. The expanded NIS2 brings new categories where organisations in scope are either directly involved in the provision of essential services or connected to their delivery. Roseanne Killeen, Acting CEO Ireland East Hospital Group, who has worked with OpenSky on enriching the access and integration of HR & Finance data in the hospital group said, "Healthcare faces major hurdles in making data accessible across various departments, and this is due to numerous disconnected data silos. "Navigating the challenges around governance and prevention of data breaches can seem like an arduous task but it doesn't have to be the case when you have access to all your data. We're not only in a position to govern our data but we're also now better equipped to provide accountability and transparency to the HSE." Based in Naas in Co Kildare, OpenSky has a rich heritage as an Irish digital transformation specialist providing AI powered IT solutions and consultancy services to both public sector and private organisations. OpenSky employs more than 110people, and this year the company celebrates its 20th anniversary, positioning them as one of Ireland's most established IT services businesses. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Faceb...

Episode Topic: Welcome to an insightful episode of PayPod. Michael Heffner, Vice President of multiple divisions within Appian Corporation, discusses the world of process automation. The discussion centers on Appian's journey since its founding in 1999, its evolution in technology, and its commitment to helping large institutions optimize their work processes. Michael shares insights into the complex challenges faced by companies in integrating and orchestrating their existing architectures while embracing innovation and adapting to the tools of today. Lessons You'll Learn: Listeners will gain valuable insights into the significance of process automation in the modern business landscape. Michael Heffner sheds light on the critical role of low-code and no-code tools in simplifying application development, addressing backlogs, and fostering innovation. The episode also explores the relevance of the Gartner Magic Quadrant and how Appian's leadership in low-code capabilities is assessed. Additionally, the discussion touches on the crucial aspects of data practices and the power of unifying data through Appian's Data Fabric. About Our Guest: Michael Heffner, Vice President at Appian Corporation, shares his journey with Appian, starting as a customer before joining the company. His extensive experience in the financial industry and passion for growth and innovation align with Appian's commitment to accelerating business processes. Michael is instrumental in leading initiatives like Appian Select, focusing on customer-centric strategies, and driving value engineering to articulate and deliver tangible benefits for clients. Topics Covered: The conversation spans various topics, from Appian's role in the process automation landscape to the importance of low-code development and its impact on addressing backlogs. Michael delves into the nuances of the Gartner Magic Quadrant, highlighting Appian's leadership in the industry. The episode also explores the challenges and opportunities in data practices, emphasizing Appian's approach to unifying data through its innovative Data Fabric. Additionally, Michael shares insights into upcoming industry trends, such as the adoption of AI and the movement towards tokenization and digital assets. Check our website: https://www.soarpay.com

Enterprise Knowledge (EK) is once again playing a central role at the upcoming KMWorld Conference in Washington, DC. EK is delivering eleven sessions throughout KMWorld and the associated events, including Taxonomy Boot Camp, Enterprise Search & Discovery, Enterprise AI World, and Text Analytics Forum. EK is offering an array of thought leadership sessions sharing approaches and methodologies. Listen in at this episode of Knowledge Cast in which EK CEO Zach Wahl speaks with the various EK presenters for KMWorld 2023. Each presenter talks about what their session will be about and what you can hope to learn by attending their presentation at the conference. Our schedule includes: ASML's Taxonomy Adventure - Taxonomy Boot Camp - November 6th - Tatiana Baquero Cakici, EK Senior Consultant co-presenting with Daniel Canter, Learning & Knowledge Management, KM Program Manager, ASML and Dutch KM Network Building an Innovative Learning Ecosystem at Scale with Graph Technologies - Taxonomy Boot Camp - November 6th - Laurie Gray, EK Principal Consultant, co-presenting with Kate Vilches, Knowledge Management Lead, Ulteig Taxonomy Showdown—Point/Counterpoint With Taxonomy Experts - Taxonomy Boot Camp - November 7th - Zach Wahl, EK CEO, and Tatiana Baquero Cakici, EK Senior Consultant Nonprofit KM Journey to Success: Lessons & Learnings - KMWorld - November 7th - Sara Duane, EK Consultant Enterprise KM & Learning - KMWorld - November 9th - Taylor Paschal, EK KM Consultant Building KM Archetypes - KMWorld - November 9th - Taylor Paschal, EK KM Consultant Enterprise AI: Using Knowledge Graphs & Data Fabric as a Pillar for AI - Enterprise AI World - November 9th - Lulit Tesfaye, EK VP & Partner, Knowledge & Data Services co-presenting with Jans Aasman, CEO, Franz Inc KM & eLearning: Improving Learner Experience & Business Outcomes - KMWorld - November 9th - Deneena Lanius, EK Senior Consultant co-presenting with Melinda Geist, Digital Operations Manager, Sales and Marketing, Intel Enterprise Cognitive Architectures: How LLMs Like ChatGPT Will Integrate With the Enterprise - Text Analytics Forum - November 9th - Ethan Hamilton, EK Analyst co-presenting with Joe Hilger, EK COO Scaling Knowledge Graph Architectures With AI - Text Analytics Forum - November 9th - Sara Nash, EK Principal Consultant, co-presenting with Urmi Majumder, EK Principal Consultant Road Maps for Future Enterprise Search & Discovery - Enterprise Search & Discovery - November 9th - EK COO Joe Hilger To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠. EK's Knowledge Base: ⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠ Contact Us: ⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠ Twitter/X: ⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠⁠

Dan and Jay discussed the concept of Data Fabric, an automated and AI-driven approach to managing modern data environments.

On this episode of The Six Five – Insider Edition, hosts Daniel Newman and Patrick Moorhead welcome Cloudera's Ram Venkatesh, CTO for a discussion on the importance of data in enabling Enterprise AI and the role of trust in ensuring AI success in navigating this rapid evolution of AI. This discussion addresses the business benefits of Cloudera's Open Data Lakehouse and Data Fabric providing secure and governed solutions for all types of data across multiple clouds, enabling customers to trust their data and AI.

065 When Data Fabric Met Kubernetes

The concept of a data mesh has gained traction in recent years as a way to enable data democratization and decentralization in organizations. A data mesh approach ideally calls for building a data fabric that provides a unified view of all data sources in an organization. The fabric serves as a foundation for the data mesh, enabling data teams to develop and operate their own data products and services independently. But how close are we to genuinely pulling this off? Check out this episode of DM Radio to find out! Host @eric_kavanagh will interview Doug Kimball of OntoText, and Rex Ahlstrom of Syniti.

ChatGPT. Composable data and analytics. Connected governance. The data fabric. These are all hot trends and much-hyped tools and frameworks in 2023. But one of the challenges with “bleeding-edge” technologies is a lack of a clear definition — much less a clear guide on how to take advantage of these nascent tools. Good thing we have a former Gartner analyst with thousands of hours of client inquiries under his belt to help finally demystify one of the most-hyped trends in data management today: the data fabric. In this 22nd episode of CDO Matters, Malcolm focuses exclusively on providing an extremely “deep dive” into the data management architecture known as the data fabric. The data fabric has gone from relative obscurity to nearly the top of Gartner's hype cycle in just a few short years. For this reason, forward-leaning CDOs should understand exactly what the data fabric is and how it can benefit their organization.   Starting with a basic definition of a data fabric, Malcolm proceeds to break this rather complex phenomenon down into its component parts — using language that is precise but highly digestible for any non-technical CDO or data leader. Translating the complexity of a fabric into understandable critical capabilities, he shows how a data fabric can eventually be leveraged as a transformational tool for any organization. For those wondering exactly what capabilities are needed to enable a data fabric, Malcolm reviews the top three capabilities that he believes must be present for any solution to be considered a data fabric. Armed with this information, it becomes clear that the data fabric remains — at least in the short term — an aspiration for most companies given the sophistication and governance maturity needed to enable them.   Malcolm reviews a conceptual architecture of the data fabric and discusses how fabric capabilities will be deeply integrated into — and across — several legacy data management systems, including master data management (MDM), data quality, data governance and data integration platforms. He challenges the notion that any one solution will be used to enable data fabrics — and instead outlines how several software and analytical solutions will need to be deeply integrated to enable fabric capabilities.   Finally, Malcolm ends his demystification of data fabrics by sharing a few key considerations to help CDOs cut through all of the hype related to data fabrics. This includes practical actions data leaders can take now to better position themselves for leveraging data fabrics soon.   Update from Malcolm: This episode was recorded before the production launch of ChatGPT. In the span of just a few weeks, I believe the data fabric has gone from a conceptual framework to something that could easily be envisioned within a modern data estate.   Put another way — if the entire internet before 2012 could be used to train an AI-enabled language model, all your enterprise data could most certainly be used to train AI models that are optimized to support data management use cases. I now believe the data fabric is how AI will be operationalized, at scale, to optimize — and eventually automate — the creation, consumption and management of data within your organization. I've struggled for the last two years to visualize exactly how data fabrics could be implemented at scale, but thanks to ChatGPT, I no longer have this struggle. Hopefully after watching — or listening — to this episode, you come to a similar conclusion.  Key Moments [7:51] The Hype Behind the Data Fabric[10:46] Diving Deep into the Fabric[13:01] Data Fabrics Defined [21:31] Key Fabric Capabilities [22:15] Active Metadata[27:01] Incorporating AI Technologies[29:56] Synthesizing Metadata with an Intelligence Layer[35:31] The Data Fabric Architecture [40:06] Key Fabric Considerations [52:31] Closing ThoughtsKey Takeaways The Future of the Data Fabric and AI Dependency (12:38) “We are making a pivot away from people defining the [data governance] rules, the integration patterns, the data quality standards. We are moving away from people deciding that to robots deciding that. That's a spectrum. We're largely people-driven today…we're early in the days of the spectrum from entirely people-driven to entirely robot-driven. We're early in those days, but where the data fabric goes and the ultimate path here is towards a world highly dependent on the [machines].” — Malcolm HawkerWhat Can Metadata Do for You? (17:40) “What active metadata really means is that, if you had a lot of metadata, and you has some pretty sophisticated analytical tools, and you had some pretty sophisticated new technologies, you could make that data tell you a lot of things about the state of your data enterprise. For example, in theory, you could know when data was accurate or inaccurate.” — Malcolm Hawker The Current State of Data Fabrics (46:12)“Data fabrics don't exist yet. You can't go buy one. There is a ton of promise here. But between where we are, and where we need to go and between concept and theory, there are some really major roadblock issues we need to overcome. And frankly, there's a lot of technology that doesn't even exist yet.” — Malcolm Hawker EPISODE LINKS & RESOURCES: Follow Malcolm Hawker on LinkedIn

Deploying the Data Fabric for Multi-Domain Command and Control/JADC2: SPECIAL SPADE 2023 Edition of The Business of Government Hour. How can the Data Fabric help realize the vision of Joint All-Domain Command and Control (JADC2)? What are the key technological developments supporting multi-domain operations? How are the U.S., Canada, and allied countries collaborating to deliver […]

How can the Data Fabric help realize the vision of Joint All-Domain Command and Control (JADC2)? What are the key technological developments supporting multi-domain operations? How are the U.S., Canada, and allied countries collaborating to deliver on the vision of joint all domain command and control? Join host Michael Keegan for a SPECIAL SPADE 2023 Edition of The Business of Government Hour  Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How can the Data Fabric help realize the vision of Joint All-Domain Command and Control (JADC2)? What are the key technological developments supporting multi-domain operations? How are the U.S., Canada, and allied countries collaborating to deliver on the vision of joint all domain command and control? Join host Michael Keegan for a SPECIAL SPADE 2023 Edition of The Business of Government Hour 

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Rob Bearden, CEO of Cloudera. Their discussion covers: •       The cloud migration of Cloudera's customer base and the growth they have experienced •       Cloudera's data platform's high visibility and strong analytics provided for complex data sets •       How Cloudera's data fabric supplies companies with a cost-effective, consolidated view •       Cloudera's grasp on the competitive hybrid multi-cloud market, and how they see the future competition  Be sure to subscribe to The Six Five Webcast, so you never miss an episode.

Digital Transformation is full of promise, and full of challenges. One of the biggest challenges is around cloud – when to use, and to what extent. This week's podcast has hosts Matt Kimball & Steve McDowell speaking with Dominique Bastos, Senior Vice President at Persistent Systems. In this episode, Dominique talks about what she sees with enterprise customers undergoing digital transformation, and how to find an on-prem/off-prem balance that drives best results for the business. Equally interesting is Dominique's perspective as a woman's journey through the tech ranks – from engineer to executive. Tune in for what may be our most interesting podcast yet! Dominique's profile: https://www.linkedin.com/in/dominiquebastos/ Persistent Systems: https://www.persistent.com/ Special Guest: Dominique Bastos.

The amount of data that is being created by us is unprecendented. Today we talk about the data fabric, concepts around it and tools that can be used to create and manage a data fabric.   LinkedIn: https://www.linkedin.com/in/nilotpaldas/ Twitter: @EntArchRadio Email: nilotpaldas@hotmail.com Telegram Group: https://t.me/EnterpriseArchitectureRadio Music: Music by tobylane from Pixabay  

Data fabric is one of those buzzwords that's used so much and in so many ways that it often elicits an eyeroll—undeservedly so. The phrase is shorthand for a complex and important set of issues that we're all working to manage. In this article we'll review what data fabric is and why it's important. Published at: https://www.eckerson.com/articles/data-fabric-s-use-of-abstraction-and-metadata

There aren't many solutions that can tame the multi-cloud management problem, but Nutanix is one of them. In this episode, hosts Matt Kimball and Steve McDowell have a wide-ranging conversation with Nutanix's Lee Caswell about the challenges that face IT administrators and architects in 2023. Special Guest: Lee Caswell .

Hosts Steve McDowell and Matt Kimball, principal analysts at Moor Insights & Strategy, kick off the new year with a conversation with both Nutanix and Hewlett Packard Enterprise. Joining the podcast is HPE's Mark Maguire and Nutanix's Aaron Delp. Nutanix and HPE are at forefront of IT modernization & digital transformation, helping customers globally deliver business critical apps in more efficient and cost-effective way with certified solutions that come with freedom of choice (flexibility of deployment and choice of consumption model). The guys talk about how to solve real world customer problems, where traditional infratructure is too costly, time consuming and complex; public cloud is not the panacea. Nutanix and HPE deliver a new way to operate and pay for infrastructure: delivering on the promise of the cloud, not the cost of the cloud, across key workloads and regulated industries: Special Guests: Aaron Delp and Mark Maguire.

When the pandemic struck, many health system data teams hit the panic button very quickly. How in the world were they going to do what was being asked of them? How could they deliver care as quickly as possible? What role did data fabric and data virtualization play in this time of uncertainty? How did they help to simplify and integrate enterprise-wide data management and delivery across a choice of endpoints spanning on-premises and multiple cloud environments? How did they help to provide seamless access across multiple clouds, data centers and even edge systems?Sign up for our webinar: How to Modernize Your Data Platform in Healthcare: The Right Fit for Every Unique Health System - Wednesday December 7 2022: 1pm ET / 10am PT.

Learn how organizations are cutting the complexity and achieving remarkable outcomes, using a Data Fabric approach featuring SAP Data Intelligence Cloud. Speakers: Kevin Poskitt, SAP, Senior Director Product Management, Data & Analytics Solutions Axel Schuller, SAP, Senior Solution Specialist, Data Management Solutions Lisa Hopkins, SAP, Senior Director Product Marketing, Data Management Solutions Show Notes: Learn more at the SAP Data Intelligence Community: http://bit.ly/3rYH6Mv

MySQL is the most popular open source database in the world. Oracle's new MySQL Heatwave makes MySQL the only cloud service with a built-in, high performance, in-memory query accelerator—HeatWave. In this episode, hosts Matt Kimball and Steve McDowell, principal analysts at Moor Insights & Strategy, catch up with Oracle's Nipun Agarwal, Oracle's SVP of MySQL and Heatwave, at the recent Oracle OpenWorld event to about what it all means. This is wide-ranging conversation about the history of MySQL, where it plays well, and how Oracle MySQL HeatWave brings added value to the MySQL ecosystem. Special Guest: Nipun Agarwal.

When it comes to leading a successful business, it is crucial to remain data-driven. But being overly technical in your approach can often take away from the social needs of your enterprise.Malcolm and Dr. Juan Sequeda focus primarily on four key topics: data as a product, the data mesh phenomenon, why data leaders are incorrectly focused on technology and how taking a more ‘social' approach — as advocated by the data mesh — will deliver superior results.Dr. Sequeda breaks down data-related technologies into three core principles that he argues have changed little over the last several decades. CDOs with more of a business or non-technical background will appreciate how Dr. Sequeda is able to distill the complexities of the modern data estate into a simplified model — and warns how various data management vendors continue to complicate by focusing too much on software tools and features. While exploring ways for data leaders to extricate themselves from technology-first approaches, the two explore the growing trend towards data as a product and how CDOs can benefit from it. Dr. Sequeda shares his ‘ABC' framework for approaching data as a product that CDOs from all backgrounds can quickly use within their data organizations. Dr. Sequeda both challenges and acknowledges the benefits of data centralization during a discussion focused on how master data management (MDM) is still needed by all organizations despite the decentralized approach advocated by the data mesh. Ultimately, it should be no surprise that a noted scholar on knowledge graphs believes that context and semantics should drive more modern approaches to governance and MDM — where the context or use case of data ultimately determines what rules/policies should be defined rather than the data itself. This episode of CDO Matters will help less technical CDOs understand the underlying data semantics and why the data mesh — most especially the ‘data as a product' phenomenon — is worthy of consideration. Prioritizing efforts to integrate product management disciplines in data management — at both centralized and decentralized levels — will ultimately help data leaders to drive superior results by being more driven socially. Key Moments[4:24] Bridging Tech and Business[6:06] Defining Data Mesh for Your Organization[8:20] A Social-first Approach to the Data Mesh[10:52] What Comes After Data Decentralization?[15:10] The 3 Principles of the Data Stack[16:01] Modern Data Developments and How Data Software Categories Drive the Conversation[17:05] Social vs. Cultural Business Approaches[20:15] Metadata Serving as the Glue Behind Data[23:12] Operational Focus of the Data Mesh[25:20] The Relevance of Master Data Management (MDM) Today[28:30] Powering a Data Fabric with a Semantic Layer[33:20] Data Centralization through Governance Key TakeawaysBridging Technology and Business for CDOs [5:05 — 6:03]“I would say you need to have people on your team who can be those bridges…who will be able to fill that gap [between technology and business]. As a leader, you want to understand the overview of things, but you also want to feel empowered by having the best people around you.” — Dr. Juan SequedaIs Data Mesh a Software Category? [7:16 — 8:14]“Data mesh is a social-technical paradigm shift, it is not something you buy… if somebody is selling you a data mesh, please run far away as fast as you can from that vendor because they are selling you B.S.” — Dr. Juan SequedaThe 3 Principles of the Data Stack [15:06— 16:49]“We talk about the modern data stack…look at the principles…here is this box and it has inputs and outputs. It is the three main boxes. One is the box that moves data. Data comes in, data comes out. Then you have another box where data comes in, questions come in and answers come out. That is your storage and compute…then you have another box where different questions come out. That is your analytics.” — Dr. Juan SequedaThe Problem with Being Overly Tech-Focused [17:05 — 17:42]“The issue here is that we have been defining success from a technical perspective, which is ‘my data is now in one place,' but that was not the goal…define success from the social perspective about the needs of the business.” — Dr. Juan SequedaAbout Dr. Juan SequedaDr. Juan Sequeda is the Principal Scientist at Data.World and the co-host of the Catalogs & Cocktails podcast. Juan holds a Ph.D. in Computer Science from the University of Texas at Austin and is a noted scholar and researcher in the fields of semantic technologies, including knowledge graphs. He is a frequent public speaker at data and analytics conferences across the globe and is passionate about helping data leaders implement more modern and innovative approaches to both data strategy and data management. EPISODE LINKS & RESOURCES:Connect with Juan on LinkedInVisit Data.World Check out the Catalog & Cocktails podcast

It's all about Edge Computing as hosts Matt Kimball and Steve McDowell, principal analysts at Moor Insights & Strategy, welcome Jason Andersen, VP of Strategy and Product Management at Stratus. Jason brings Matt & Steve up-to-speed on what's happening in the world of edge computing in a wide-ranging conversation about standards (or the lack of), the evolution of edge architectures, the fragmented edge market, the colliding worlds of IT & OT, and how Stratus helps its customers navigate through this confusing world. There is a whole lot packed into this hour-long discussion, but it's invaluable for anyone working in edge today. 00:00 Kick-it Off 01:25 Catching up with Strategy: Product updates, SGH Acquisition 03:57 Pivoting from Fault-Tolerance to the Edge 08:48 It's all about Resilience! 11:00 How edge is evolving 13:00 Fragmentation at the edge 16:21 Containerization & Cloud-Native at the edge 20:48 Simplifying the edge control-plane while delivering QoS 23:20 Revisiting 2 Different Worlds as IT & OT Converge 30:10 Security at the Edge 37:22 General attitudes impacting edge deployments 41:14 Where's Stratus focused in the near-term? 45:14 Importance of the overall solution stack 50:11 Wrapping-Up 50:26 Done Special Guest: Jason Andersen.

Join Open||Source||Data executive producer Audra Montenegro as she and Sam discuss his learnings and takeaways from this season and what the future of open source data looks like.-------------------“There's such an open conversation about, ‘Yeah, open source,' we usually think about open source software. How can we cross apply more of what we think about in software in general into data, and then what is it that's totally new about this domain? So, the answers cluster into three groups. It's either about the source of the data itself is open, meaning this is government data or data that's been made public and it's openly accessible. Or it could be that open source data is how the data is actually produced. Is it using open source tooling? Is it on an open source architecture? And finally, how do you trust that open source data? If it's just a whole bunch of data but it hasn't been labeled, if it hasn't been managed and produced, turned into a product. How do you understand its heritage? How do you understand the lineage of the data so that you can produce trustworthy models and trustworthy results based on it? So it's a big open field, but those are the general responses that people have when we explore that topic.” – Sam Ramji-------------------Episode Timestamps:(01:29): What open source data means to our guests(02:57): Sam discusses the themes of season 3(10:38): What Sam is looking forward to in the future of open source data-------------------Links:LinkedIn - Connect with SamLinkedIn - Connect with AudraTwitter - Follow SamTwitter - Follow Audra

Buildings are becoming intelligent in ways that aren't always obvious, but that can make a huge difference to both tenants and property managers alike. Intelligent buildings are the epitome of the modern edge-to-cloud story, blending together process control, SaaS, and big data analytics to solve very practical problems. Nobody knows this space better than this week's guest, CTO and co-founder of Embue, Larry Genovesi. Larry, who has a long 20+ year history with hosts Matt Kimball and Steve McDowell, has spent his career solving interesting but non-obvious problems. Embue is Larry's latest venture, bringing bottom-line impacting intelligence into multi-tenent real-estate via its air ducts (quite literally). This episode talks about the real-world implications and challenges of solving practical problems at the edge. 00:00 Spiffy Theme Song & Intro 03:00 Who is Embue? 10:53 What's interesting about smart buildings and HVAC systems? 18:47 Edge is an operational problem, not a data problem. 26:00 Special considerations for making buildings smart. 28:22 Not your normal tech market: selling technology into the facilities management space. 31:14 Challenges of recruiting tech talent into a specialized engineering segment. 37:13 Intersection of Edge, SaaS, and IT: how do you create a new kind of environment? 40:41 What's next in this space, and for Embue? 45:59 Spiffy Outro Music. Special Guest: Larry Genovesi.

There are numerous challenges to working with distributed data. How do we secure, analyze and govern data in a hybrid cloud world? In this podcast, Michael Factor from IBM Research describes what a hybrid data fabric is and how it helps companies gain value from data in distributed locations. Michael Factor's bio. Dr Factor is an IBM Fellow with a focus on cloud data, storage and systems.   He has a B.Sc., Valedictorian (1984) in Computer Science from Union College, Schenectady, NY. M.Sc. (1988), M.Phil. (1989) and Ph.D. (1990) in Computer Science from Yale University. Since graduating, Dr. Factor has worked at the IBM Research -- Haifa.His current main focus area is hybyrd cloud data.  Among his responsiblities is as a global lead for all work on Hybrid Data form IBM Research.  In this role, he and the global team are defining future directions to ensure 1) it is easy to get the right data for a task, 2) that data is always used in a secure and governed fashion and 3) that IBM has high-performance, secure, highly-functional and cost efficient data stores and processing engines.  In addition, he serves as the main focal point in moving IBM Research innovations from the Lab into the IBM public cloud where his team has contributed to services such as IBM Cloud Object Storage, IBM SQL Query Service, and various Spark related services.  Beyond his Research efforts, he also works closely with both the IBM Public Cloud and the IBM Data and AI team to provide guidance and expertise on directions such as serverless computation, data lakes and future enhancements to object storage.You can follow Michael's research here.   You can follow me on Twitter @MaribelLopez and on LinkedIn here. 

Nowhere is cybersecurity more critical than at an enterprise's edge, yet that's also an area with multiple owners and different approaches to the problem. It's a complicated environment. Gary Cohen, senior editor at CFE Media, joins hosts Matt Kimball and Steve McDowell to give us his perspective. CFE Media focuses heavily on tracking the trends influencing the edge. This is a wide-ranging conversation that touches on IT vs OT, cybersecurity, and even a little baseball & Morrissey. Tune in! 00:00 Kick Off 01:02 Gary's history with the Chicago Cubs 05:00 Who is CFE Media? 07:00 The complexities of Edge: IT and OT 12:39 Cyber-Security at the Edge 20:23 Supply Chain Concerns 24:07 How does CFE Media engage with edge-focused audiences? 27:40 Cyber-Security Commonalities between IT & OT 29:25 A Conversation about Morrissey 31:08 Wrapping up. 32:44 The end. Special Guest: Gary Cohen.

Data is more critical, more abundant, and less structured than at any point in history. The attributes and uses of data are shifting, stressing traditional relational database management tools that we've come to rely on. NoSQL promises one answer to modern data management. Couchbase's VP of Product & Solution Marketing, Jeff Morris, joins hosts Matt Kimball and Steve McDowell, principal analysts at Moor Insights & Strategy, to talk us through the technology, where its best deployed, and how Couchbase plays in the space. 00:00 Show Open 00:03 Matt's Foolishness 00:45 Let's Talk about NoSQL 01:20 Introduce CouchBase VP Solutions & Product Marketing, Jeff Morris 02:46 How has data management evolved over the past decade? 05:39 Is there a performance hit when moving away from traditional RDMS? 07:54 Optimal use-cases for NoSQL databases 15:45 CouchBase Mobile & Devices 19:53 Is NoSQL a 'big lift' for IT practitioners? 24:44 Capella: CouchBase-as-a-Service 30:33 SQL & NoSQL, a Peaceful Co-Existance? 32:24 Where is CouchBase Focused over the next 12-18 months? 34:37 Wrapping Up. 35:43 The End! Special Guest: Jeff Morris.

There is nothing more critical to IT administrators (and their bosses!) than cyber-security and data protection. Old methods of securing our infrastructure are no longer as effective as they once were. Instead, we're moving into an era of AI-based decisions about what data and traffic to let in, and keep out, of our networks. Hillstone Networks is a strong innovator in this space. In this episode HIllstone's Tim Liu and Gary Wang join hosts Matt Kimball and Steve McDowell to help us understand the evolving nature of cyber-security. 00:00 Kick it off 00:20 Who is Hillstone? 01:06 Application-aware Security 02:37 Using AI and Machine Learning to enhance security 08:05 How has the treat landscape evolved over the past few years? 10:00 Protecting data in the cloud 13:30 Security Kubernetes & container-based workflows 13:58 Who are Hillstone's customers? 16:33 What's next for Hillstone & cyber-security in general? 23:00 Evolving threat landscape 24:54 Wrapping up 25:19 It's over! Special Guests: Gary Wang and Tim Liu.

There is (arguably) no faster mainstream storage available than Infinidat's just-launched InfiniBox SSA II array. Infinidat CMO Eric Herzog joins host Steve McDowell, principal analyst at Moor Insights & Strategy, to walk us through just how Infinidat is able to increase throughput and IOPs by more than 50% in the new array, while also ensuring a compelling level of data protection and cyber-resilience. The guys also talk about the continuing evolution of storage, with a deep-dive into AIOps and how new workloads (such as cloud-native) impact storage architecture. This is a great podcast for anyone interested in high-performance storage. This podcast is sponsored by Infinidat. Special Guest: Eric Herzog.

Today's guest is Amaresh Tripathy, Senior Vice President and Global Business Lead for Analytics at Genpact. Genpact has some 80,000 employees, and Amaresh leads a global team of nearly 8,000 analytics experts covering everything from data engineering, machine learning, data insights, and more. This episode focuses on data fabrics and what separates the idea of a data fabric from a data lake, and how enterprise leaders can make sure that this fabric translates immediately to use-cases that add value with near-term ROI and building long-term capability. Amaresh also clarifies the concept of data fabric and ties it to use-cases applicable in business with real examples from some of Genpact's clients. Join Emerj Plus at emerj.com/p1 to discover more AI use-cases, best practice guides, whitepapers, frameworks, and more.

Nothing has galvanized the data community more in recent months than two new architectural paradigms for managing enterprise data. On one side there is the data fabric: a centralized architecture that runs a variety of analytic services and applications on top of a layer of universal connectivity. On the other side, is a data mesh: a decentralized architecture that empowers domain owners to manage their own data according to enterprise standards and make it available to peers as they desire. Most data leaders are still trying to ferret out the implications of both approaches for their own data environments. One of those is Srinivasan Sankar, the enterprise data & analytics leader at Hanover Insurance Group. In this wide-ranging, back-and-forth discussion, Sankar and Eckerson explore the suitability of the data mesh for Hanover, how the Data Fabric might support a Data Mesh, whether a Data Mesh obviates the need for a data warehouse, and practical steps Hanover might to take implement a Data Mesh built on top of a Data Fabric. Key Takeaways: - What is the essence of a data mesh? - How does it relate to the data fabric? - Does the data mesh require a cultural transformation? - Does the data mesh obviate the need for a data warehouse? - How does data architecture as a service fit with the data mesh? - What is the best way to roll out a data mesh? - What's the role of a data catalog? - What is a suitable roadmap for full implementation?

Nothing has galvanized the data community more in recent months than two new architectural paradigms for managing enterprise data. On one side there is the data fabric: a centralized architecture that runs a variety of analytic services and applications on top of a layer of universal connectivity. On the other side, is a data mesh: a decentralized architecture that empowers domain owners to manage their own data according to enterprise standards and make it available to peers as they desire. Most data leaders are still trying to ferret out the implications of both approaches for their own data environments. One of those is Srinivasan Sankar, the enterprise data & analytics leader at Hanover Insurance Group. In this wide-ranging, back-and-forth discussion, Sankar and Eckerson explore the suitability of the data mesh for Hanover, how the Data Fabric might support a Data Mesh, whether a Data Mesh obviates the need for a data warehouse, and practical steps Hanover might to take implement a Data Mesh built on top of a Data Fabric.