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The Road to Intelligent Data Apps

with Shelly Kramer and George Gilbert

About the podcast

The Road to Intelligent Data Apps, theCUBE Research analysts Shelly Kramer and George Gilbert explore why intelligent data apps are the next frontier. As we move beyond the last decade in data and analytics, which was all about cloud architecture and separating compute from storage, and into the next decade, which is all about separating compute from data, we’ve evolving into a whole new system of truth.

episodes

Zoom News and Announcements from Enterprise Connect

On this episode of our AnalystANGLE series, I explored Zoom’s announcements out of Enterprise Connect, held a couple of weeks ago in Orlando. Zoom announced many new features to its AI-powered collaboration platform, Zoom Workplace. Zoom Workplace brings the entire Zoom ecosystem under one roof for meetings, team chat, and phone interaction and can be seamlessly integrated into existing technologies. As expected, Zoom’s AI Companion is at the core of Zoom Workplace and is included at no additional cost, which is a significant differentiator from Zoom’s competitors. With a nod to some earlier troubles on this front, Zoom made a special point to note on more that one occasion that the company does not use any customer data or third-party data to train its AI model. While AI companion was introduced in September 2023, Zoom has added new capabilities such as auto language detection capabilities to generate more valuable summaries

Kyndryl Cloudflare, Dell’s Gen AI Solutions, NVIDIA GTC, and Nile’s AI Networking Solution

We also discuss Cloudflare’s acquisition earlier this month of multicloud networking startup Nefeli Networks, Dell’s expansion of its Gen AI Solutions Portfolio in collaboration with support from NVIDIA. We covered news out of NVIDIA’s GTC event this past week, including announcements around NVIDIA NVlink and 6G research platform. And last but not least, we touched on news from Nile introducing the industry’s first AI Networking Solution with performance guarantee

From Youtube

The Road to Intelligent Data Apps In this new video series: The Road to Intelligent Data Apps, theCUBE Research analysts Shelly Kramer and George Gilbert explore why intelligent data apps are the next frontier. As we move beyond the last decade in data and analytics, which was all about cloud architecture and separating compute from storage, and into the next decade, which is all about separating compute from data, we've evolving into a whole new system of truth. Find out more about theCUBE’s coverage of AWS re:Invent https://events.cube365.net/supercloud/aws-reinvent-2023-cube-coverage This series explores the opportunities and challenges ahead, with a preview of AWS re:Invent 2023, along with thoughts on some current players in this arena. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Catch up on the most recent episode of the AnalystANGLE https://www.youtube.com/playlist?list=PLenh213llmcYnzc3JScBR0fSUUWbHh1EH
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC41NkI0NEY2RDEwNTU3Q0M2

Shelly Kramer & George Gilbert | The Road to Intelligent Data Apps

7.8K views

This is theCUBE's latest episode in our series, The Road to Intelligent Data Apps, which focuses on the evolution of the modern data stack into the new platform for applications, or what we’re calling “the sixth data platform.” This modern data stack is becoming the new platform for applications as raw cloud infrastructure recedes into the background. In this series, we feature insights from some of the brightest minds in the tech world. For this episode, theCUBE Research principal analyst Shelly Kramer welcomes Bob Muglia, who pretty much needs no introduction, certainly within the tech industry. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ Bob was president of the precursor to Microsoft’s Enterprise Division, growing it to $14 billion in revenue. Most recently, Bob was CEO of Snowflake, leading it from $0 revenue and guiding the company to an IPO, which was the largest ever debut of an enterprise software company. Today, Bob is an investor, advisor and mentor to some of the most exciting companies driving the evolution of the modern data stack. Bob is also the author of The Datapreneurs, which focuses on the promise of AI and the creators who are building our future. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Our conversation explored what’s involved in building a modern data platform, as well as a deep dive into the five major data platforms in use today: Databricks, Snowflake, Microsoft, Google, and AWS, comparing and contrasting their capabilities, market differentiators and challenges they face. Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd We also explored the role we expect generative AI to play in accelerating all aspects of application development (e.g. for modeling data and the business), as well as a discussion around the role of Relational Knowledge Graph in reimagining data and apps. As expected, Bob had great insights to share and the conversation is truly the ultimate insider’s guide to the future of the modern data stack. #dataapps #intelligentdataapps #Snowflake #Databricks #Microsoft #Google #AWS, #generativeAI #theCUBEResearch #TheDatapreneurs #dataplatform #moderndataplatform #relationalknowledgegraph #applicationdevelopment #applications #applicationplatforms #creators #creatoreconomy #artificialintelligence #AI
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4yODlGNEE0NkRGMEEzMEQy

The Ultimate Insider’s Guide to the Modern Data Stack with Bob Muglia

9K views

In this episode of The Road to Intelligent Data Apps, theCUBE Research analysts Shelly Kramer and George Gilbert are joined by Rahul Auradkar, EVP and GM, Salesforce Data Cloud and Einstein Platform, for a discussion centered on intelligent data apps and the transition that is underway as organizations work to shift the way data is managed and upleveled throughout an organization. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ Auradkar shared insights on Salesforce Data Cloud, the vision behind what Salesforce is doing, and the impetus and genesis of Data Cloud, along with thoughts on the set up needed for the metadata-driven approach. This includes embedding and integrating all data so that there is an enterprise-wide view of the status of an enterprise, and then shifting that view from strings to things by capturing all the intelligence that has traditionally been siloed in operational apps. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Intelligent data apps can call on all the "things" and each other to engage with people and customers through insights and automation. But this doesn't come without challenges; including the reality that putting intelligence into "things" requires metadata, which must be standardized and shared throughout the organization. Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #intelligentdata #Salesforce #theCUBEResearch #DataCloud #metadata #enterpriseapps #intelligentdataapps #SalesforceDataCloud #vectordbsearch #einsteincopilot #analytics #dataanalytics #datamanagement
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4wMTcyMDhGQUE4NTIzM0Y5

Salesforce Data Cloud uplevels the modern data stack | The Road to Intelligent Data Apps

8K views

Welcome to this episode of The Road to Intelligent Data Apps, a video podcast delving into the future of data. Hosted by Dave Vallante, chief analyst, alongside George Gilbert, senior analyst, both with theCUBE Research. Today's guest is Soma Somasegar, managing director at Madrona Venture Group. A seasoned professional, he joined Madrona Ventures in 2015, specializing in B2B and Enterprise startups following a successful 27-year tenure at Microsoft, where he served as VP of the developer division. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ The discussion revisits Madrona's Intelligent Application Summit, exploring the concept of intelligent apps and their significance. Somasegar highlights the evolution of AI investments over the past decade, emphasizing the transformative potential of intelligent applications. From the data explosion to continuous learning systems, the conversation underscores the pivotal role of AI in reshaping enterprise apps and the modern data stack. Additionally, there's a glimpse into the future of AI-driven ERP and CRM solutions, signaling a shift towards innovation in established markets. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #TheRoadtoIntelligentDataApps #theCUBE #theCUBEResearch #MadronaVentures #IntelligentApplicationSummit #AI #ERP #CRM
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC41MjE1MkI0OTQ2QzJGNzNG

Madrona Ventures' Soma Somasegar | Road to Intelligent Data Apps

1.4K views

In this episode of The Road to Intelligent Data Apps, Shelly Kramer, managing director and principal analyst at theCUBE Research is joined by analyst George Gilbert and Jason Pohl, Senior Director of Data Management for Databricks This is part of our continuing conversation about the Sixth Data Platform, an emerging data platform where the leading vendors are Databricks, Snowflake, AWS, Azure, and Google. If you're new to this conversation, what we’re seeing in this evolution is that the data platform is actually becoming an application platform, as all applications are becoming driven by data, analytics, and AI. For our discussion today, we take a closer look at Databricks; both the company roadmap and the customer activity, and we’re thrilled to have Jason join us. First, some historical context: Snowflake defined the modern data stack with the separation of compute from storage, which essentially allowed the management of infinite amounts of data in a data lakehouse architecture. The data lakehouse gave customers a simple solution for managing their end-to-end data analytic data estate. And here’s where it gets interesting: We see Databricks redefining Snowflake's core innovation of separating storage from compute and that's part of the reason we were excited about this conversation with Jason. Our discussion covered a variety of things, including: - An overview of the Databricks' version of the data lakehouse, in which storage and compute can come from different vendors. - The process by which end-to-end data management shifts to end-to-end data governance in the Databricks Unity catalog - A key differentiator for Databricks is that different compute engines, including Snowflake, can run different workloads on the data, providing customers with a much wider price, choice and performance or capabilities. - An exploration of what a data lakehouse is and how it differs from a more traditional data platform (e.g., multi-vendor compute versus single vendor, governance separate from DMBS, etc.), as well as what the ability to write data in open format for multiple engines means for customers. - An overview of how Databricks' Intelligent Lakehouse solution works and how that benefits customers. We discussed workloads and what distinguishes them and explored where customers are in deployment and production of their AI workloads, along with how customers can leverage the tools and pipelines in traditional ML workloads in building their Gen AI functionality. Other topics covered include: - Application platforms and how we expect the definition of apps will change over time. How this impacts how devs build apps and operationalize analytics, and the role of workflow and transaction support. - There was much discussion around data governance and its key role, as well as multi-vendor data estates and how and when customers are using compute engines from multiple vendors. - Databricks' Unity Catalog and the growth capabilities they envision there over time, as well as how customers plan to implement Unity. We wrapped the episode with a conversation about Databricks' vision for the Intelligent Lakehouse and what we collectively see ahead for the industry.
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4wOTA3OTZBNzVEMTUzOTMy

Databricks on Intelligent Data Apps | Road to Intelligent Data

1.3K views

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YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4xMkVGQjNCMUM1N0RFNEUx

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