Podcasts about Cloudera

"Si lo que realmente te apasiona es picar código y nerdear, no te hagas CTO". Con esta honestidad brutal nos recibe Sergio Gago, CTO de Cloudera y autor de "The CTO Toolbox", en un episodio diseñado para romper los idealismos de la carrera tecnológica. Sergio defiende que un líder debe tener "manos de constructor" , pero nos enfrenta a la gran paradoja del rol: para triunfar, debes soltar la reconfortante certeza del código y abrazar el caos de la gestión humana y la incertidumbre del negocio.Desde sus inicios como lo que él llama un "CTO Mickey Mouse" en una startup de 3 personas hasta gestionar estrategias globales de Big Data e IA, Sergio disecciona las fases de madurez por las que pasarás, de gestionar tu casa a gobernar un país entero, y revela la verdad más incómoda de la transición: llega un día en que tu equipo deja de ser los ingenieros con los que te ibas de fiesta y pasa a ser la C-Suite, un grupo de ejecutivos que hablan un idioma financiero que probablemente necesites aprender a la fuerza (o con un MBA) para sobrevivir en la mesa de decisiones. Un viaje imprescindible sobre cómo superar el síndrome del impostor, evitar ser el cuello de botella de tu empresa y entender por qué, a veces, el éxito significa dejar de hacer lo que más te gustaba.Support the show

In this episode, I sit down with Yair Cleper, founder and infrastructure builder, to uncover the invisible layer that keeps crypto running — RPC, nodes, and decentralized access.From UX and fintech startups to building Magma Devs and contributing to Lava Network, Yair explains how blockchains actually communicate, why most of Web3 still relies on a handful of providers, and what happens when AI agents start transacting on-chain nonstop.He breaks down:

Sovereign cloud in Europe just moved from idea to action. At EVOLVE London I sat down with Christopher Royles from Cloudera. Cloudera has been named a launch partner for the new AWS European Sovereign Cloud, and we unpacked what this means for builders, leaders, and regulators across EMEA.Here is what we covered in the interview I am publishing next:- What “sovereign by design” means in practice for data, control planes, encryption, and operational access- How this model helps organizations meet strict European requirements while keeping teams productive- How it connects to Cloudera's Private AI strategy so enterprises can run AI on their terms- Where sovereign cloud demand is strongest across EMEA and why industries like public sector, financial services, and healthcare are leaning in- A practical path to comply without stalling innovation, from architecture choices to operating modelsIf you care about trusted AI, data control, and real-world compliance in Europe, this conversation will be useful. I will share the full interview with Chris next.#data #ai #sovereign #cloudera #theravitshow

#EVOLVE25 London was a clear signal that Big Data is entering its third era, and it is about outcomes, not buzzwords. I sat down with Sergio Gago, CTO, Cloudera and we went straight to the shift everyone is feeling. This era is defined by convergence. The work now is to bring on-prem and cloud together so teams can move fast, stay compliant, and keep costs in check. That is where the real AI wins will come from.Here is what we covered in the interview I am publishing next:- What truly defines the third era of Big Data and how it differs from the last decade- Why convergence matters now for performance, cost, and control- Where Cloudera wins today, and where it chooses not to compete- How a unified data foundation raises trust in AI- The new Cloudera + Dell “AI-in-a-box” approach for private, trusted AI- A five-year view of on-prem, cloud, and AI working together- Cloudera's vision to support this shift end to endIf you care about building trustworthy AI on real enterprise data, this conversation will be useful. #data #ai #EVOLVE25 #cloudera #theravitshow

In today's data-rich but siloed healthcare environment, true AI transformation demands structure, not just algorithms. By building strong governance foundations, pharma and life sciences leaders can turn fragmented data into federated ecosystems that support innovation. Learn how safe, compliant AI implementation can transform research, development and patient outcomes. 

What happens when enterprise-grade AI visualization meets on-prem reality? I sat down with Leo Brunnick, Chief Product Officer at Cloudera on The Ravit Show, to talk about a major shift: bringing Cloudera Data Visualization to on-prem environments.We got deep into:-- Why now? What pushed Cloudera to extend this capability beyond the cloud-- How AI Visual and natural language querying are finally breaking barriers for non-technical users - right at the source-- The actual features that make this visualization layer powerful—not just dashboards, but intelligent, explainable insights-- Real business impact: we talked through use cases where organizations are solving high-stakes problems by giving their teams access to AI-powered visualizations on-prem-- And most importantly—where this is all headed. Leo shared a vision that includes GenAI, real-time visualization, and enabling large enterprises to move faster, smarter, and more transparently with their data-- The future of enterprise BI isn't about choosing between cloud or on-prem. It's about bringing AI to wherever the data livesIf you're navigating complex environments or looking to scale AI-driven insights inside the firewall, this conversation is worth your time.#data #dataviz #ai #cloudera #theravitshow

Dive into this episode of DM Radio, as host Eric Kavanagh joins experts from Cloudera and Hitachi to explore how enterprises are rethinking AI and data infrastructure amid rapid innovation. Manasi Vartak, Chief AI Architect at Cloudera, unpacks the concept of "Private AI" - enabling organizations to maintain full control over their data, models, and hardware while ensuring trust and governance. Next, Dan McConnell of Hitachi Vantara delves into the data arms race driving AI advancement, highlighting the role of modern data fabrics, hybrid cloud strategies, and intelligent control planes like VSP360. Discover how organizations can confidently embrace AI without losing control of their data foundation - tune in to this episode of DM Radio.

Sergio Gago, CTO of Cloudera and former Head of AI & Quantum at Moody's is interviewed by Yuval Boger. They discuss a practical, problem-first path to quantum in finance. Sergio contrasts annealers and gate-based systems, emphasizes hybrid workflows for portfolio optimization and Monte Carlo risk, and explores fraud detection and knowledge-graph use cases. Sergio stresses rigorous benchmarking against top-end GPUs/FPGAs, explainability for regulators, and total cost of ownership over lab metrics. They also touch on post-quantum cryptography (offense vs. defense), realistic definitions of “quantum advantage,” and why disciplined pilots—and candid vendor comparisons—matter more than hype, and much more.

On this episode of The Six Five Pod, hosts Patrick Moorhead and Daniel Newman discuss the tech news stories that made headlines this week. The handpicked topics for this week are:   AI and Infrastructure Investments: Nvidia and OpenAI announce a major AI infrastructure investment. $100 billion phased investment from Nvidia to OpenAI. Pat & Dan discuss the strategic implications and industry reactions.   Oracle Leadership Changes: New co-CEOs appointed –nClay Magouyrk and Mike Sicilia. Safra Catz becomes Oracle executive vice chair. Hosts analyze this leadership transition and its potential impact.   TikTok Developments: Executive order to push final decision on TikTok to mid-December. Potential spin-out authorized, contingent on Chinese agreement. Oracle and Silver Lake are potential key players in the deal.   Microsoft's AI Strategy: Microsoft adds Anthropic to Copilot. Discussion on the benefits of model diversity in AI offerings.   Qualcomm Snapdragon Summit Highlights: Introduction of X2 Elite and X2 Elite Extreme chips, focusing on AI capabilities and performance improvements. Plus, a look at Qualcomm's strategic positioning beyond smartphones.   Cloudera Event in New York: Patrick's insights from the Cloudera event and a discussion on hybrid multi-cloud fabrics and AI ecosystems.   The Flip: Should Apple or TSMC Invest in Intel? Hosts debate this topic with arguments for and against potential investments in Intel. Plus, an analysis of the geopolitical and technological implications.   Market Trends and Earnings: Federal Reserve Chair Powell's comments on stock valuations and a discussion on Micron's earnings and the impact of AI on memory demand. Marvell's special presentation and stock performance. For a deeper dive into each topic, please click on the links above. Be sure to subscribe to The Six Five Pod so you never miss an episode.

Ron Gabrisko is the Chief Revenue Officer at Databricks, where he joined in 2016. Under his leadership, Databricks has scaled from $0 to over $4BN in annual revenue. He has grown the sales team from 0 to over 1,000 globally, leading expansion into enterprise, government, and international markets. Ron previously held senior sales roles at Cloudera and IBM, bringing deep experience in data and AI infrastructure. His tenure at Databricks has been defined by hypergrowth, multi-product adoption, and world-class GTM execution. Agenda for Today: 00:04 – The Databricks Origin Story: Ali, Ben Horowitz & 7 PhDs 00:08 – Ali vs JPMorgan: Turning Down $10M to Stay Cloud-First 00:13 – Prospecting Day: How Ron Scaled the GTM Culture 00:16 – Why Databricks' Pricing Model Was Its Secret Weapon 00:19 – Enterprise vs SMB: The Risky Bet That Paid Off 00:23 – From $2M to $13M ARR: How Ron Built the First Sales Engine 00:29 – Can AI Replace Salespeople? Ron's Brutally Honest Take 00:36 – How to Get Your First Million-Dollar Rep (and Keep Them) 00:42 – The Culture Secret Behind Scaling to 5,000 Sales Reps 00:45 – Why Databricks Waited Until $500M ARR to Go International 00:52 – What Makes a Great Sales Meeting? Ron's Gold Standard 00:58 – The Snowflake Wars: Why Ron Says Databricks Is 5 Years Ahead  

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     What's stopping large language models from being truly enterprise-ready?   In this episode, Vectara CEO and co-founder Amr Awadallah breaks down how his team is solving one of AI's biggest problems: hallucinations.   From his early work at Yahoo and Cloudera to building Vectara, Amr shares his mission to make AI accurate, secure, and explainable. He dives deep into why RAG (Retrieval-Augmented Generation) is essential, how Vectara detects hallucinations in real-time, and why trust and transparency are non-negotiable for AI in business.   Whether you're a developer, founder, or enterprise leader, this conversation sheds light on the future of safe, reliable, and production-ready AI.   Don't miss this if you want to understand how AI will really be used at scale.     Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Abbiamo esplorato le frontiere dell'innovazione digitale che stanno ridisegnando il panorama aziendale italiano e non solo.Con i miei ospiti abbiamo toccato tem:

In this episode of Campus Technology Insider Podcast Shorts, host Rhea Kelly covers the key tech stories in higher education. Highlights include Fortinet's report on the critical role of identity in cloud security, Meta's launch of a standalone AI app featuring Llama 4, and a Cloudera survey revealing data privacy as a top concern for AI adoption. Tune in for more insights on these stories and their implications for the education sector. 00:00 Introduction and Host Welcome 00:17 Critical Security Perimeter in Cloud Services 00:48 Meta Platforms Launches Standalone AI App 01:21 Cloudera Survey on AI Agents and Data Privacy 01:57 Conclusion and Further Resources Source links: Report: Identity Has Become a Critical Security Perimeter for Cloud Services Meta Launches Stand-Alone AI App Study: Data Privacy a Top Concern as Orgs Scale Up AI Agents Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

In this episode, Lois Houston and Nikita Abraham continue their deep dive into Oracle GoldenGate 23ai, focusing on its evolution and the extensive features it offers. They are joined once again by Nick Wagner, who provides valuable insights into the product's journey.   Nick talks about the various iterations of Oracle GoldenGate, highlighting the significant advancements from version 12c to the latest 23ai release. The discussion then shifts to the extensive new features in 23ai, including AI-related capabilities, UI enhancements, and database function integration.   Oracle GoldenGate 23ai: Fundamentals: https://mylearn.oracle.com/ou/course/oracle-goldengate-23ai-fundamentals/145884/237273 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   -----------------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services.  Nikita: Hi everyone! Last week, we introduced Oracle GoldenGate and its capabilities, and also spoke about GoldenGate 23ai. In today's episode, we'll talk about the various iterations of Oracle GoldenGate since its inception. And we'll also take a look at some new features and the Oracle GoldenGate product family. 00:57 Lois: And we have Nick Wagner back with us. Nick is a Senior Director of Product Management for GoldenGate at Oracle. Hi Nick! I think the last time we had an Oracle University course was when Oracle GoldenGate 12c was out. I'm sure there's been a lot of advancements since then. Can you walk us through those? Nick: GoldenGate 12.3 introduced the microservices architecture. GoldenGate 18c introduced support for Oracle Autonomous Data Warehouse and Autonomous Transaction Processing Databases. In GoldenGate 19c, we added the ability to do cross endian remote capture for Oracle, making it easier to set up the GoldenGate OCI service to capture from environments like Solaris, Spark, and HP-UX and replicate into the Cloud. Also, GoldenGate 19c introduced a simpler process for upgrades and installation of GoldenGate where we released something called a unified build. This means that when you install GoldenGate for a particular database, you don't need to worry about the database version when you install GoldenGate. Prior to this, you would have to install a version-specific and database-specific version of GoldenGate. So this really simplified that whole process. In GoldenGate 23ai, which is where we are now, this really is a huge release.  02:16 Nikita: Yeah, we covered some of the distributed AI features and high availability environments in our last episode. But can you give us an overview of everything that's in the 23ai release? I know there's a lot to get into but maybe you could highlight just the major ones? Nick: Within the AI and streaming environments, we've got interoperability for database vector types, heterogeneous capture and apply as well. Again, this is not just replication between Oracle-to-Oracle vector or Postgres to Postgres vector, it is heterogeneous just like the rest of GoldenGate. The entire UI has been redesigned and optimized for high speed. And so we have a lot of customers that have dozens and dozens of extracts and replicats and processes running and it was taking a long time for the UI to refresh those and to show what's going on within those systems. So the UI has been optimized to be able to handle those environments much better. We now have the ability to call database functions directly from call map. And so when you do transformation with GoldenGate, we have about 50 or 60 built-in transformation routines for string conversion, arithmetic operation, date manipulation. But we never had the ability to directly call a database function. 03:28 Lois: And now we do? Nick: So now you can actually call that database function, database stored procedure, database package, return a value and that can be used for transformation within GoldenGate. We have integration with identity providers, being able to use token-based authentication and integrate in with things like Azure Active Directory and your other single sign-on for the GoldenGate product itself. Within Oracle 23ai, there's a number of new features. One of those cool features is something called lock-free reservation columns. So this allows you to have a row, a single row within a table and you can identify a column within that row that's like an inventory column. And you can have multiple different users and multiple different transactions all updating that column within that same exact row at that same time. So you no longer have row-level locking for these reservation columns. And it allows you to do things like shopping carts very easily. If I have 500 widgets to sell, I'm going to let any number of transactions come in and subtract from that inventory column. And then once it gets below a certain point, then I'll start enforcing that row-level locking. 04:43 Lois: That's really cool… Nick: The one key thing that I wanted to mention here is that because of the way that the lock-free reservations work, you can have multiple transactions open on the same row. This is only supported for Oracle to Oracle. You need to have that same lock-free reservation data type and availability on that target system if GoldenGate is going to replicate into it. 05:05 Nikita: Are there any new features related to the diagnosability and observability of GoldenGate?  Nick: We've improved the AWR reports in Oracle 23ai. There's now seven sections that are specific to Oracle GoldenGate to allow you to really go in and see exactly what the GoldenGate processes are doing and how they're behaving inside the database itself. And there's a Replication Performance Advisor package inside that database, and that's been integrated into the Web UI as well. So now you can actually get information out of the replication advisor package in Oracle directly from the UI without having to log into the database and try to run any database procedures to get it. We've also added the ability to support a per-PDB Extract.  So in the past, when GoldenGate would run on a multitenant database, a multitenant database in Oracle, all the redo data from any pluggable database gets sent to that one redo stream. And so you would have to configure GoldenGate at the container or root level and it would be able to access anything at any PDB. Now, there's better security and better performance by doing what we call per-PDB Extract. And this means that for a single pluggable database, I can have an extract that runs at that database level that's going to capture information just from that pluggable database. 06:22 Lois And what about non-Oracle environments, Nick? Nick: We've also enhanced the non-Oracle environments as well. For example, in Postgres, we've added support for precise instantiation using Postgres snapshots. This eliminates the need to handle collisions when you're doing Postgres to Postgres replication and initial instantiation. On the GoldenGate for big data side, we've renamed that product more aptly to distributed applications in analytics, which is really what it does, and we've added a whole bunch of new features here too. The ability to move data into Databricks, doing Google Pub/Sub delivery. We now have support for XAG within the GoldenGate for distributed applications and analytics. What that means is that now you can follow all of our MAA best practices for GoldenGate for Oracle, but it also works for the DAA product as well, meaning that if it's running on one node of a cluster and that node fails, it'll restart itself on another node in the cluster. We've also added the ability to deliver data to Redis, Google BigQuery, stage and merge functionality for better performance into the BigQuery product. And then we've added a completely new feature, and this is something called streaming data and apps and we're calling it AsyncAPI and CloudEvent data streaming. It's a long name, but what that means is that we now have the ability to publish changes from a GoldenGate trail file out to end users. And so this allows through the Web UI or through the REST API, you can now come into GoldenGate and through the distributed applications and analytics product, actually set up a subscription to a GoldenGate trail file. And so this allows us to push data into messaging environments, or you can simply subscribe to changes and it doesn't have to be the whole trail file, it can just be a subset. You can specify exactly which tables and you can put filters on that. You can also set up your topologies as well. So, it's a really cool feature that we've added here. 08:26 Nikita: Ok, you've given us a lot of updates about what GoldenGate can support. But can we also get some specifics? Nick: So as far as what we have, on the Oracle Database side, there's a ton of different Oracle databases we support, including the Autonomous Databases and all the different flavors of them, your Oracle Database Appliance, your Base Database Service within OCI, your of course, Standard and Enterprise Edition, as well as all the different flavors of Exadata, are all supported with GoldenGate. This is all for capture and delivery. And this is all versions as well. GoldenGate supports Oracle 23ai and below. We also have a ton of non-Oracle databases in different Cloud stores. On an non-Oracle side, we support everything from application-specific databases like FairCom DB, all the way to more advanced applications like Snowflake, which there's a vast user base for that. We also support a lot of different cloud stores and these again, are non-Oracle, nonrelational systems, or they can be relational databases. We also support a lot of big data platforms and this is part of the distributed applications and analytics side of things where you have the ability to replicate to different Apache environments, different Cloudera environments. We also support a number of open-source systems, including things like Apache Cassandra, MySQL Community Edition, a lot of different Postgres open source databases along with MariaDB. And then we have a bunch of streaming event products, NoSQL data stores, and even Oracle applications that we support. So there's absolutely a ton of different environments that GoldenGate supports. There are additional Oracle databases that we support and this includes the Oracle Metadata Service, as well as Oracle MySQL, including MySQL HeatWave. Oracle also has Oracle NoSQL Spatial and Graph and times 10 products, which again are all supported by GoldenGate. 10:23 Lois: Wow, that's a lot of information! Nick: One of the things that we didn't really cover was the different SaaS applications, which we've got like Cerner, Fusion Cloud, Hospitality, Retail, MICROS, Oracle Transportation, JD Edwards, Siebel, and on and on and on.  And again, because of the nature of GoldenGate, it's heterogeneous. Any source can talk to any target. And so it doesn't have to be, oh, I'm pulling from Oracle Fusion Cloud, that means I have to go to an Oracle Database on the target, not necessarily.  10:51 Lois: So, there's really a massive amount of flexibility built into the system.  11:00 Unlock the power of AI Vector Search with our new course and certification. Get more accurate search results, handle complex datasets easily, and supercharge your data-driven decisions. From now through May 15, 2025, we are waiving the certification exam fee (valued at $245). Visit mylearn.oracle.com to enroll. 11:26 Nikita: Welcome back! Now that we've gone through the base product, what other features or products are in the GoldenGate family itself, Nick? Nick: So we have quite a few. We've kind of touched already on GoldenGate for Oracle databases and non-Oracle databases. We also have something called GoldenGate for Mainframe, which right now is covered under the GoldenGate for non-Oracle, but there is a licensing difference there. So that's something to be aware of. We also have the OCI GoldenGate product. We are announcing and we have announced that OCI GoldenGate will also be made available as part of the Oracle Database@Azure and Oracle Database@ Google Cloud partnerships.  And then you'll be able to use that vendor's cloud credits to actually pay for the OCI GoldenGate product. One of the cool things about this is it will have full feature parity with OCI GoldenGate running in OCI. So all the same features, all the same sources and targets, all the same topologies be able to migrate data in and out of those clouds at will, just like you do with OCI GoldenGate today running in OCI.  We have Oracle GoldenGate Free.  This is a completely free edition of GoldenGate to use. It is limited on the number of platforms that it supports as far as sources and targets and the size of the database.  12:45 Lois: But it's a great way for developers to really experience GoldenGate without worrying about a license, right? What's next, Nick? Nick: We have GoldenGate for Distributed Applications and Analytics, which was formerly called GoldenGate for big data, and that allows us to do all the streaming. That's also where the GoldenGate AsyncAPI integration is done. So in order to publish the GoldenGate trail files or allow people to subscribe to them, it would be covered under the Oracle GoldenGate Distributed Applications and Analytics license. We also have OCI GoldenGate Marketplace, which allows you to run essentially the on-premises version of GoldenGate but within OCI. So a little bit more flexibility there. It also has a hub architecture. So if you need that 99.99% availability, you can get it within the OCI Marketplace environment. We have GoldenGate for Oracle Enterprise Manager Cloud Control, which used to be called Oracle Enterprise Manager. And this allows you to use Enterprise Manager Cloud Control to get all the statistics and details about GoldenGate. So all the reporting information, all the analytics, all the statistics, how fast GoldenGate is replicating, what's the lag, what's the performance of each of the processes, how much data am I sending across a network. All that's available within the plug-in. We also have Oracle GoldenGate Veridata. This is a nice utility and tool that allows you to compare two databases, whether or not GoldenGate is running between them and actually tell you, hey, these two systems are out of sync. And if they are out of sync, it actually allows you to repair the data too. 14:25 Nikita: That's really valuable…. Nick: And it does this comparison without locking the source or the target tables. The other really cool thing about Veridata is it does this while there's data in flight. So let's say that the GoldenGate lag is 15 or 20 seconds and I want to compare this table that has 10 million rows in it. The Veridata product will go out, run its comparison once. Once that comparison is done the first time, it's then going to have a list of rows that are potentially out of sync. Well, some of those rows could have been moved over or could have been modified during that 10 to 15 second window. And so the next time you run Veridata, it's actually going to go through. It's going to check just those rows that were potentially out of sync to see if they're really out of sync or not. And if it comes back and says, hey, out of those potential rows, there's two out of sync, it'll actually produce a script that allows you to resynchronize those systems and repair them. So it's a very cool product.  15:19 Nikita: What about GoldenGate Stream Analytics? I know you mentioned it in the last episode, but in the context of this discussion, can you tell us a little more about it?  Nick: This is the ability to essentially stream data from a GoldenGate trail file, and they do a real time analytics on it. And also things like geofencing or real-time series analysis of it.  15:40 Lois: Could you give us an example of this? Nick: If I'm working in tracking stock market information and stocks, it's not really that important on how much or how far down a stock goes. What's really important is how quickly did that stock rise or how quickly did that stock fall. And that's something that GoldenGate Stream Analytics product can do. Another thing that it's very valuable for is the geofencing. I can have an application on my phone and I can track where the user is based on that application and all that information goes into a database. I can then use the geofencing tool to say that, hey, if one of those users on that app gets within a certain distance of one of my brick-and-mortar stores, I can actually send them a push notification to say, hey, come on in and you can order your favorite drink just by clicking Yes, and we'll have it ready for you. And so there's a lot of things that you can do there to help upsell your customers and to get more revenue just through GoldenGate itself. And then we also have a GoldenGate Migration Utility, which allows customers to migrate from the classic architecture into the microservices architecture. 16:44 Nikita: Thanks Nick for that comprehensive overview.  Lois: In our next episode, we'll have Nick back with us to talk about commonly used terminology and the GoldenGate architecture. And if you want to learn more about what we discussed today, visit mylearn.oracle.com and take a look at the Oracle GoldenGate 23ai Fundamentals course. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 17:10 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Back in the 1990s, Dilip Upmanyu sat in a room filled with servers as he pieced together a homegrown database of costs and SKUs. His employer at the time couldn't tell which products paid the bills; by dawn, the young financial analyst could. That improvised profitability model, he tells us, still informs his investment mindset today.Upmanyu never mistook rows of numbers for the whole story. Later joining IBM, he moved from product analytics to revenue accounting in a single year, then volunteered to face Wall Street. Preparing earnings decks, he practiced fielding questions until he could anticipate three out of four before the line opened. “Data matter only when you can explain the ‘why,' ” Upmanyu tells us.A misstep—a brilliant job wrapped in toxic politics—taught him culture diligence. From then on he evaluated environments as rigorously as balance sheets. That instinct paid off when NetIQ sold to Attachmate: suddenly he was steering a global integration that tripled his team and required fresh capital. He treated the chaos as a practicum in fundraising and leadership, logging the final credit hours for his CFO ambition.By the time Cloudera called in 2023, Upmanyu had stitched together every major finance discipline. Today he pushes growth by leading with the firm's public‑cloud platform and embedding AI into forecasting.

Vectara is pioneering the field of Retrieval Augmented Generation (RAG), addressing the critical challenge of hallucinations in AI systems. With over $53 million in funding, Vectara has positioned itself as the go-to platform for enterprises seeking to combat "RAG sprawl" while building AI assistants and agents that are accurate, secure, and explainable. In this episode of Category Visionaries, I sat down with Amr Awadallah, CEO and Founder of Vectara, to explore his journey from Egyptian immigrant to serial entrepreneur and his vision for creating AI systems that enterprises can truly trust. Topics Discussed: Amr's journey from Egypt to Stanford in 1995 and how it transformed his career aspirations The entrepreneurial "infection" at Stanford that led Amr away from academia Founding and selling his first startup, Activia, to Yahoo in just one year The comparison of creating successful companies to the joy of having children How Vectara addresses the critical problem of hallucinations in large language models The concept of "RAG sprawl" and why enterprises need centralized governance Amr's framework for evaluating startup opportunities: technological inflection points, real problems, and great teams Why this AI revolution is a bigger technological inflection point than the internet or big data   GTM Lessons For B2B Founders: Focus on your unique value proposition: Amr emphasized the importance of standing out in a crowded market by focusing on what makes you unique. Vectara doubled down on accuracy and hallucination detection, becoming known as the company to combat AI hallucinations. B2B founders should identify what they can be known for that differentiates them from competitors. Choose your go-to-market strategy deliberately: When deciding between product-led growth or enterprise sales, commit fully to the approach that fits your business. For enterprise sales, implement account-based marketing focused on your ideal customer profile, host targeted field events, and use strategic dinners with compelling speakers to attract key prospects. Don't try to boil the ocean: The number one reason companies fail after team issues is lack of focus. Early-stage founders should maintain agility to test different approaches but quickly narrow focus based on where they're getting traction. Treat use cases as "two-way doors" - try them, keep what works, and move on from what doesn't. Build for the coming AI agent revolution: Amr predicts we'll move from the current "AI assistant phase" (requiring human oversight) to the "AI agent phase" (fully autonomous AI) within one year. B2B founders should position their products for this transition, particularly focusing on accuracy and trust as critical requirements for enterprise adoption. Leverage technological inflection points: Major technological shifts create gaps that allow startups to disrupt established players. Amr has built companies around three major inflection points: the internet (Activia), big data (Cloudera), and now large language models (Vectara). B2B founders should identify inflection points relevant to their industry and build solutions that capitalize on the new opportunities they create.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co

Today's guest is Shayde Christian, Chief Data & Analytics Officer at Cloudera. Founded in 2008, Cloudera believes that data can make what is impossible today, possible tomorrow. They empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.Shayde leads all data and analytics functions at Cloudera, overseeing data science, machine learning, business intelligence, data architecture, data engineering, platform engineering and DevOps. He helps customers navigate their hybrid cloud migration and optimization journeys. Shayde has built or revitalized six enterprise data analytics organizations for Fortune 500 companies, global tech firms and startups.In this episode, Shayde talks about:His unique career journey, following passions and pursuing a true calling,How Cloudera evolved beyond Hadoop, pioneering AI-driven data solutions,Driving success through secure AI, data quality and feedback,Scalability, ROI, killer apps and AI-driven automation,Why attracting AI talent is hard; teams bootstrap skills internally,Why Cloudera is a great place to work with a focus on innovation and purpose,How his team aims to bridge the tech-business gap using AI,Leading the software evolution, investing in generative AI for success

Tertulia con motivo del Congreso&Expo ASLAN 2025 con Adrián Gonzalez, Sales Director de OVHCloud; Jorge Vazquez, Country Manager de Nutanix; Juan Carlos Sánchez de la Fuente, Regional Vice President de Cloudera; y Francisco Torres-Brizuela , Channel, Alliances & SP's Director Iberoamerica de NetApp.

In this episode of Product by Design, Kyle chats with Sandy Ryza, lead engineer on the Dagster project, author, and thought leader in data engineering. Sandy shares his journey through the world of data—from building big data tools at Cloudera to working as a data scientist, product manager, and engineer—and how those experiences led him to help create Dagster, an open-source data orchestration platform.We discuss:The evolution of data engineering and the growing complexity of modern data pipelines.The role of AI and unstructured data in shaping the future of data platforms.How organizations should think about data platforms to avoid costly rework.Best practices for managing data complexity using software engineering principles.The future of open-source tools in data infrastructure and the push toward interoperability.Sandy RyzaSandy is a lead engineer, author, and thought leader in the domain of data engineering. Sandy co-wrote “Advanced Analytics with PySpark” and “Advanced Analytics with Spark”. He led ML and data science teams at Cloudera, Remix, Clover Health, and KeepTruckin.Sandy is currently the lead engineer on the Dagster project, an open-source data orchestration platform used in MLOps, data science, IOT and analytics. Sandy is a regular speaker at data engineering and ML conferences.Links from the Show:Twitter: @s_RYZDagster: dagster.ioBook: Advanced Analytics with Spark – O'ReillyPodcast Recommendation: Empire (British Empire & Ottoman Empire history)Books Sandy is Reading: The Shortest History of India, The Sun Also Rises, Werner Herzog's AutobiographyMore by Kyle:Follow Prodity on Twitter and TikTokFollow Kyle on Twitter and TikTokSign up for the Prodity Newsletter for more updates.Kyle's writing on MediumProdity on MediumLike our podcast, consider Buying Us a Coffee or supporting us on Patreon

Cloudera Government Solutions President Rob Carey joins SNG host Wyatt Kash in a sponsored podcast discussion on how best to ensure the trustworthiness — as well as the security and privacy — of the data agencies rely upon to drive AI solutions and, ultimately, mission success. This segment was sponsored by Cloudera.

Amr Awadallah is the CEO and co-founder of Vectara. Previously, he co-founded Cloudera, which went public in 2017 and was acquired for $5.3 billion, and also served as VP of Developer Relations at Google Cloud. His first startup, Aptivia, was acquired by Yahoo, where he later became VP of Product Intelligence Engineering. I talked to him about his experience as an immigrant in Silicon Valley, the frameworks he's built to articulate vision and credibility, and what he's learned about pitching investors and recruiting top talent over the years. Runtime: 52:43 EPISODE BREAKDOWN (3:39) “ The more technical definition of what we do is ‘RAG as a service.'” (5:38)  ”You ask your car, ‘why is this icon showing, what's wrong with you?' And the car will tell you, hey, you need to go change my oil.'” (8:07) What makes Vectara a blue-ocean company. (10:05) How to win an investor's confidence when your current TAM is zero. (12:04)  ”There's three things anybody looks for when they're going to join any job, and you need to at least win two of the three.” (15:06) How Amr connected with the other Vectara co-founders. (17:24) Why he's “a very big opponent to building in stealth.” (21:50) Attending Stanford helped Amr visualize himself as an entrepreneur.  (24:34) “ Many entrepreneurs think that the idea is what's going to make a company succeed or not.” (28:54) How he cultivated an appetite for risk again after spending eight years at Yahoo. (32:44) “ Only get the PhD in one case, and one case only: if you want to be a professor.” (37:35) “ By definition, more immigrants will be more willing to take risks.” (41:33) “ There's so many VCs out there pretending they're amazing.” (43:54) There are two types of salespeople: “coin operators” and “innovators.” (48:20) You can start up outside Silicon Valley, but “ if you can move here, move here.” (50:27) Two questions he'd ask the CEO if he were interviewing for a job with a new startup. LINKS Amr Awadallah Vectara Cloudera Google Cloud SUBSCRIBE LinkedIn Substack Instagram Thanks for listening!   – Walter.

Details are starting to trickle in about how the Trump administration and its new DOGE will look to use tech modernization as a driver of efficiency in the federal government. But there's still uncertainty about how the new administration will address some key topics, like AI, cybersecurity, the tech workforce and more. Last month, the Alliance for Digital Innovation issued a set of tech priority recommendations for the Trump White House and sent an open letter to the DOGE, offering guidance on how to best approach the federal tech landscape. Ross Nodurft, the executive director of that coalition and former head of the Office of Management and Budget's cybersecurity team, joins me to discuss what those suggested priorities are, how Congress could play a role and how the DOGE, regardless of politics, could shine a welcome spotlight on improving the state of federal technology. Also: Just hours after the Trump administration took office Monday, the president signed a flurry of executive orders, many of which are likely to have significant impact on federal technology operations. Most notably, Donald Trump signed orders to claw back Joe Biden's executive order on artificial intelligence and called for a return to office for federal employees. Trump's repeal of the AI EO didn't come with any policy replacing the Biden administration's, which established a roadmap for the federal government to address the growing technology while managing risks. Meanwhile, Trump's new order for a return to in-person work called for agency leaders to “take all necessary steps to terminate remote work arrangements and require employees to return to work in-person at their respective duty stations on a full-time basis.” Trump also issued an order establishing the Department of Government Efficiency, or DOGE. The order renames the U.S. Digital Service as “the United States DOGE Service” and charges it with “modernizing Federal technology and software to maximize governmental efficiency and productivity.” Also in this episode: Cloudera Government Solutions President Rob Carey joins SNG host Wyatt Kash in a sponsored podcast discussion on how best to ensure the trustworthiness — as well as the security and privacy — of the data agencies rely upon to drive AI solutions and, ultimately, mission success. This segment was sponsored by Cloudera. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Fred Koopmans is Chief Product Officer at BigPanda, an AIOps company. He is someone who has managed to ride the tech waves being at the right place at the right time - mobile video optimization on wireless networks, cloud, data platforms, open source, and now AI. Prior to BigPanda, Fred was SVP of Product Management at Cloudera, and Sr. Director Product Management at Citrix, and in engineering roles at Bytemobile. In this episode, Fred shares his approach of writing a reverse job description that tells recruiters exactly what he is looking for. Here are some key highlights and the topics we cover: * What is the flavor of conversations with customers around AI, especially with IT people * How writing can help one become a high-intention person * What is a reverse job description and how to write one * Why it is paramount to have an answer to the question - "Where do you see yourself in five years?" * How does a PM do an effective job in "engineering-led" or "sales-led" companies * What do engineers wish product managers know and what do product managers wish engineers know * How to build deep relationships with customers * How to steer a product org away from doing only what customers want * How to have good skip level 1:1s Connect with Fred on LinkedIn: https://www.linkedin.com/in/fred-koopmans/ Connect with Rahul Abhyankar, host of Product Leader's Journey: https://www.linkedin.com/in/rahulabhyankar https://www.productleadersjourney.com

The first time I met Amr Awadallah, he struck me as a rare person genuinely curious about the world and how technology and AI impact it. We discuss his early roots as an entrepreneur, the founding of Cloudera and Vectara, the challenges of AI in enterprises, what makes humans unique, and much more.

What if your organization could unlock the full potential of AI without ever compromising on privacy or sharing sensitive data? In this episode of Tech Talks Daily, I am joined by Alexander Alten, Co-Founder and CEO of Scalytics, to explore how he is building the next-generation infrastructure layer for AI agents. Alexander brings a wealth of expertise, having led data and product teams at industry giants like Cloudera, Allianz, and Healthgrades. With a background in startups such as X-Warp and Infinite Devices, he has a proven track record of developing customer-centric, data-driven solutions that not only disrupt conventional norms but also fuel measurable growth. During our conversation at the IT Press Tour in Malta,  Alexander introduces Scalytics Connect, a modern AI data platform designed to accelerate insights while preserving privacy. He unpacks the challenges of breaking down data silos and explains why centralizing data may not always be the optimal solution. We also demystify federated learning, shedding light on its potential to empower businesses, particularly in regulated industries, to collaborate on AI models without exposing their data. The discussion extends to the value of open-source technologies and why they often emerge as long-term winners, citing examples like MySQL, Postgres, and WordPress. Alexander shares how Scalytics leverages open-source principles to provide scalable and transparent machine learning solutions for businesses looking to outperform in an increasingly data-driven world. As AI continues to redefine the way we work and innovate, Alexander's insights provide a roadmap for navigating the complexities of decentralized machine learning, privacy-first AI, and scalable technology. Could his approach to AI and data collaboration be the key to unlocking your organization's potential? Tune in to find out, and don't forget to share your thoughts on the future of AI-powered innovation.

In this engaging conversation at the All Things Open conference, Tim Spann, Principal Developer Advocate at Zilliz, discusses the importance of community collaboration in advancing AI technologies. He emphasizes the need for diverse perspectives in solving complex problems and highlights his work with the Milvus open source vector database. Tim also explains the evolving landscape of retrieval augmented generation (RAG) and its applications and shares insights into the future of AI development. The conversation concludes on a lighter note with Tim describing his creative use of Milvus in a fun Halloween project to catalog and identify ghosts. 00:00 Introduction 00:41 Meet Tim Spann: Principal Developer Advocate 01:35 The Importance of Community in AI 02:56 Advanced RAG and Multimodal Models 06:17 The Future of Agentic RAG 09:04 Challenges and Excitement in AI Development 13:35 Building AI the Right Way 17:50 Fun with AI: Capturing Ghosts 19:24 Conclusion and Final Thoughts   Guest: Tim Spann is a Principal Developer Advocate for Zilliz and Milvus. He works with Apache NiFi, Apache Kafka, Apache Pulsar, Apache Flink, Flink SQL, Apache Pinot, Trino, Apache Iceberg, DeltaLake, Apache Spark, Big Data, IoT, Cloud, AI/DL, machine learning, and deep learning. Tim has over ten years of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming. Previously, he was a Principal Developer Advocate at Cloudera, Developer Advocate at StreamNative, Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Engineer at Hortonworks, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton & NYC on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. He holds a BS and MS in computer science.

In this episode, we sit down with Amr Awadallah, Founder and CEO of Vectara, a leading generative AI platform. With over 25 years of experience in scalable systems, big data, and AI, Amr shares his journey from Yahoo and Google Cloud to founding Vectara. Discover how Vectara is transforming the generative AI landscape by providing a trusted platform for business data, addressing challenges like hallucinations, bias, copyright infringement, and data privacy. Amr discusses the evolution of AI technology, the importance of responsible AI practices, and how Vectara is positioned to lead the way in GenAI solutions. Learn about the innovative solutions Vectara offers, including Retrieval Augmented Generation-as-a-Service (RAGaaS), and how it helps businesses integrate conversational AI and question-answering capabilities seamlessly.

Another Trump presidency could bring significant implications for enterprise tech, particularly through a focus on deregulation, increased M&A, and expanded Big Tech investments. this also extends to advancements in military technology, Israel's influence on cybersecurity, the impact of initiatives like StarLink and rural broadband on connectivity, nuclear energy, AI, the CHIPS Act, and the expanding space industry. Altogether, these insights suggest that a pro-deregulation agenda, aiming to remove ten regulations for each new one introduced, could profoundly shape the future of enterprise technology. This and more on the Gestalt IT Rundown. Hosts: Stephen Foskett: Foskett: https://www.linkedin.com/in/sfoskett/ Jack Poller: https://www.linkedin.com/in/jackpoller/ Follow Gestalt IT Website: https://www.GestaltIT.com/ Twitter: https://www.twitter.com/GestaltIT LinkedIn: https://www.linkedin.com/company/Gestalt-IT #Rundown, #AI, #CHIPsAct, #CyberSecurity, #PrivateCloud, @GestaltIT, @TechFieldDay, @TheFuturumGroup, @SFoskett, @Poller, @MitchellAshley, @OktaDev, @AWSCloud, @Microsoft, @Cloudera, @Google, @GoogleCloud, @Supermicro_SMCI, @NVIDIA,

With the rebranding of Autodesk University, innovation in construction, and advancements in cloud technology, what lies ahead? Live from Autodesk University 2024, Rachel Tuller of Autodesk joined the podcast to discuss the importance of the company's reinvention, a closer look at the hybrid model of cloud and desktop solutions, and how successful global partnerships are crucial to solve complex customer problems. Rachel Tuller is Vice President, Global Channels at Autodesk. With a background at Cloudera, Rachel carries a history of wins in AI ISV and Cloud Alliances, driving daily success with partners. Her expertise lies in strategic leadership and building high performing teams, skills honed through direct experience with global partner sales and ecosystem strategy. TODD TAKES Reinvention is Key in Construction: In today's construction world, staying the same just isn't an option. The companies that keep pushing forward—updating their tools, refining their processes, and keeping an open mindset—are the ones that thrive. Reinventing continuously helps tackle industry challenges head-on, creating room for exciting new opportunities and growth. Data and AI: Game Changers with a Plan: Data and AI have huge potential to reshape construction, but without a clear plan, they can create more noise than value. The key is to know exactly what data to gather, how to use it, and what insights matter most. When approached strategically, AI and data aren't just trendy tools—they're the powerhouse behind smarter, faster decision-making. Leverage the Power of Partnerships: No company needs to go it alone; in fact, working with trusted software providers and partners is where the magic happens. Partners bring specialized knowledge and solutions that can be fine-tuned to fit local needs, making innovation easier to implement and scale. With the right partners, companies can stay agile, grow stronger, and meet changing demands head-on. Thanks for listening! Please be sure to leave a rating and/or review and follow up our social accounts. Bridging the Gap Website Bridging the Gap LinkedIn Bridging the Gap Instagram Bridging the Gap YouTube Todd's LinkedIn   Thank you to our sponsors! Applied Software Applied Software LinkedIn   Other Relevant Links: Rachel's LinkedIn Autodesk

This episode features an interview with Mary Wells, CMO at Cloudera, a software company that empowers organizations to transform complex data into clear and actionable insights. In this episode, Mary discusses her maniacal focus on strong foundations and operational efficiency, and how it allows her to experiment and take calculated risks. She also dives into her focus on simplified, consistent messaging and why CMOs need to tap into their inner CIO. Key Takeaways:Ruthlessly prioritizing foundations and operational excellence, especially with budgets, allows you to optimize, experiment, and take calculated risks. CMOs need to tap into the inner CIO. CMOs have a tech stack and their organization is an expensive line item for a company. Scaling back and leaning into data and reporting gives the CMO a seat at the table and insights into what their customers need. Mix matters to your audience. Do fewer things, but do them bigger and better, aligning behind one marketing strategy to find your customers where they are in the buyers' journey.Quote:  ”The other strategy is what we're not doing and cutting down on the quantity. What we want to do are fewer things, but bigger and better. By breaking down these silos, we're able to do that, so that when I wake up on a Wednesday, like today, I don't have 50 marketing things happening today. Everybody in marketing now has one playbook and together we're making it happen. And with the strategy though, again, it's not just events, it's not just hands-on labs. Mix matters, and knowing where a prospect or a customer is in the buyer's journey lots of times helps me and the team gauge where we need to dial up and down. Sometimes it's video, sometimes it's a deep dive technical presentation, sometimes it's an event, digital, et cetera. And the idea is that mix matters based on the audience.” Episode Timestamps: *(05:37) The Trust Tree: Prioritizing operational excellence *(18:21) The Playbook: The value of comms*(35:10) The Dust Up: Practice the pause – different day, different person*(38:27): Quick Hits: Mary's Quick Hits Sponsor:Pipeline Visionaries is brought to you by Qualified.com, the #1 Conversational Marketing platform for companies that use Salesforce and the secret weapon for pipeline pros. The world's leading enterprise brands trust Qualified to instantly meet with buyers, right on their website, and maximize sales pipeline. Visit Qualified.com to learn more.Links:Connect with Ian on LinkedInConnect with Mary on LinkedInLearn more about ClouderaLearn more about Caspian Studios

L'ospite di oggi ha vissuto gli anni d'oro della Silicon Valley e di Internet, si è fatto strada nel mondo tech ed oggi è partner di uno dei fondi di venture capital più famosi al mondo, nonché membro del board di molte aziende tra cui anche Ferrari. Parlo di Mike Volpi, partner di Index Ventures. Index Ventures nasce nel 1996 a Ginevra ma con l'arrivo di Danny Rimer, che è considerato da Forbes uno dei top investitori al mondo, ha aperto gli uffici prima a Londra e poi a San Francisco. E' proprio in questa fase Americana che entra in campo Mike, già noto nel mondo tech e startup della Silicon Valley. Tra le aziende in cui ha investito Index Ventures in America ci sono Dropbox, Pure Storage e Cloudera.  Durante la puntata abbiamo affrontato tanti argomenti interessanti sia per chi vuole fondare una startup sia per chi invece ambisce a diventare un investitore. SPONSOR Sblocca 6 mesi di Notion Plus (valore di $6,000)Migliaia di startup utilizzano Notion come spazio di lavoro connesso per creare e condividere documenti, prendere appunti, gestire progetti e organizzare le conoscenze, il tutto in un unico luogo. Abbiamo collaborato con Notion per offrirvi 6 mesi di nuovi piani Plus, tra cui Notion AI illimitato. Per riscattare l'offerta Notion per le startup: 1. Clicca su questo link:https://ntn.so/madeit e seleziona Made IT nell'elenco dei partner. 2. Inserisci il codice partner, STARTUP4110P10624. SPONSOR Startup Geeks è il più grande incubatore online in Italia per aspiranti imprenditori e startup.Hai un'idea di business ma non sai da dove cominciare? Startup Geeks ha la soluzione: si chiama Startup Builder, un percorso di incubazione online della durata di 12 settimane, pensato proprio per chi vuole trasformare la propria idea di business in una startup pronta a raccogliere i primi investimenti e a essere lanciata sul mercato. Scopri di più a questo link: www.startupbuilder.it NEWSLETTER Iscriviti a Il Digestivo la nostra newsletter mensile sul mondo startup italiano: https://ildigestivo.substack.com/ SOCIAL MEDIA Se vi piace il podcast, il modo migliore per dircelo o per darci un feedback (e quello che ci aiuta di più a farlo diffondere) è semplicemente lasciare una recensione a 5 stelle o un commento su Spotify o l'app di Apple Podcast. Ci ha aiuta davvero tantissimo, quindi non esitate :) Se volete farci delle domande o seguirci, potete farlo qui: Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@madeit.podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@madeitpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

What does it take to lead data and AI initiatives in today's fast-paced tech landscape while balancing entrepreneurial ventures? In this episode of the Tech Talks Daily Podcast, I am joined by Suri Nuthalapati, Technical Leader at Cloudera Inc and a member of both the Forbes Technology Council and Entrepreneur Leadership Network. Suri shares his fascinating career journey, from moving to the US from India for his Master's in Computer Science to founding startups and leading transformative projects at major corporations. With a rich background that spans positions at FedEx and Chatanoog, and now as a driving force at Cloudera, Suri brings a unique perspective on the intersection of technology, innovation, and entrepreneurship. He discusses how his ventures—such as Farmiok, an agriculture data platform aimed at empowering Indian farmers, and Tradelabs, a cloud-native SQL editor—have shaped his approach to leadership, adaptability, and fostering innovation. In his current role at Cloudera, Suri leads the data and AI practice for cloud and professional services in the Americas, where he helps enterprises fast-track their adoption of data-driven solutions. We explore key trends such as hybrid and multi-cloud architectures, generative AI, and modern data architectures like data lakehouses and meshes. Through Suri's guidance, organizations are navigating these advancements to accelerate their digital transformations. Tune in as we dive deep into how Suri has successfully balanced corporate roles with his entrepreneurial ambitions, and the lessons he's learned along the way. How are data and AI reshaping industries, and what strategies should enterprises adopt to stay ahead?  Have you witnessed data and AI shaping your industry? How do you see future developments influencing business transformations? Share your thoughts!

We had a blast at ELC Annual 2024, so we wanted to bring our podcast listeners some of the best highlights from popular sessions! This episode features one of the ELC Annual sessions with Anupam Singh (VP of AI & Growth Engineering @ Roblox) & Maria Kazandjieva (Co-Founder @ Graft), as they discuss building AI/ML models at a massive scale. Anupam shares how Roblox – an immersive 3D platform with more than 77 million daily active users – scaled from zero to nearly 200 different AI models. They discuss strategies for deciding when to use open source vs. creating proprietary models; how to operationalize your models for 24/7 use; the importance of data pipelines; current and future challenges to keep in mind when creating / scaling AI models; and answer some questions from the live Q&A.ABOUT ANUPAM SINGHAnupam leads Roblox's AI & Growth engineering teams, which provide the infrastructure for high throughput AI services for safety, recommendations, and assistants. Before Roblox, Anupam was chief customer officer at Cloudera, where he led product, engineering, and field teams for Data Warehousing products. Anupam has co-founded two companies in the Big Data space, acquired by Cloudera and Marketshare, respectively. Anupam built his database expertise on the SQL Query Optimizer teams at Oracle, Sybase (now SAP), and Informix (now IBM). He graduated from Pune University in India and holds patents in the areas of automatic SQL performance tuning, object databases, and resilient query execution."The journey always starts with, 'Let's pick a model and first decide whether we want to build our own model or we want to use one of the open source ones.' The next step is, 'Do you want to do it on public cloud?' Roblox has 24 data centers worldwide and two massive data centers in America. We have hundreds of thousands of CPUs that we could use and so for us, it's very important to decide, 'Do we really need a large model? Can you take the 700 billion model, make it into a 7 billion parameter model, and magically get it to run on the CPU?'”- Anupam Singh   ABOUT MARIA KAZANDJIEVAMaria is a co-founder and an engineering leader at Graft, an early-stage AI startup. Prior to that, Maria worked at Netflix, where her team earned two Emmy awards for technical achievement. She holds a PhD in Computer Science from Stanford University. Outside of work, you can find Maria kickboxing & trail running, baking & eating carbs, or relaxing with a non-fiction book and her two feline supurrvisors, Foosball and Gemma.SHOW NOTES:How Roblox is being powered by AI (00:30)The process of scaling AI models from zero to 200 @ Roblox (2:34)Examples of Roblox starting with open source vs. building its own model (5:06)What AI models are doing in terms of safety for children (7:12)Strategies for deciding to use open source vs. building a proprietary model (11:19)Why Roblox is choosing to open source some of their own models (13:06)How to operationalize / engineer AI models for 24/7 use at scale (14:20)The importance of data pipelines in the AI journey (16:18)Current / future challenges as Roblox continues to scale its models (19:52)Tips for identifying use cases where implementing & scaling AI can be helpful (22:21)Audience Q&A: How do you make decisions when you're lacking specific measurements / quantities? (24:29)When you deploy a model, how do you ensure confidence in its performance? (27:36)Recommendations for allocating / estimating the budget for a model (29:03)Anupam's insights on maintaining so many models effectively (31:03)How do you imagine the multimodality of your 3D models moving forward? (33:11)This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

Robert Scoble is the Founder of Unaligned.io and has written seven books on tech worldwide. He worked as a strategist at Microsoft, got the first ride in a Tesla from Elon Musk, was the first to ride in an autonomous Mercedes, was the 79th user of Instagram, and launched Siri in his house. He's been a first mover and early adopter for a very long time. He also runs Scobleizer https://scobleizer.blog/, which he started as a blog about the technology industry from his perch in Silicon Valley. He was the first to see Tesla, Flipboard, Instagram, Siri, Cloudera, Uber, and many, many other technology companies. Now he's using that expertise to help others as we head into Spatial Computing (virtual and augmented reality along with robots/autonomous vehicles).You can find him on LinkedIn at https://www.linkedin.com/in/scobleizer/ and on twitter at x.com/scobleizer where he closely tracks AI!  ----- John Bates provides 1:1 Executive Communications Coaching, both in-person and online, as well as large and small group training. Sign up for his free weekly micro-trainings at https://johnbates.com/mini-trainings and create a great leadership communications habit that makes you the kind of leader who inspires trust, loyalty and connection.

In episode 51 of Infrastructure Matters, hosts Steven Dickens and Camberley Bates discuss the latest developments in the data infrastructure industry, with a focus on the Future of Memory and Storage Summit (FMS). They highlight the importance of the tech stack for AI, the challenges faced by Intel, and the growing role of companies like Palantir and Cloudera in managing and curating data for AI applications. The episode also touches on Camberley's involvement in promoting women in the tech industry through the SuperWomen of FMS initiative. The key talking points include: Future of Memory and Storage Summit (FMS): The summit focused on advancements in memory technology, including high-bandwidth memory (HBM), CXL, and the latest PCIe standards. AI and data processing were major themes. Intel's Challenges: Discussion on Intel's 40% stock decline year-to-date and the strategic importance of Intel's success to U.S. interests. Pat Gelsinger's turnaround efforts are compared to IBM's historic recovery. Palantir's Growth: Palantir's significant growth in the commercial sector, with a 55% increase in commercial business and efforts to move beyond its defense industry roots. Cloudera's Role in Data Management: Cloudera's work in managing and classifying data for AI, focusing on data governance, curation, and pipeline management. SuperWomen of FMS: Camberley Bates' initiative to attract and retain women in the tech industry, including an annual leadership award recognizing influential women in the memory and storage field.  

Welcome to the ongoing mini-series The Orthogonal Bet. Hosted by ⁠Samuel Arbesman⁠, a Complexity Scientist, Author, and Scientist in Residence at Lux Capital. In this episode, he speaks with Hilary Mason, co-founder and CEO of Hidden Door, a startup creating a platform for interactive storytelling experiences within works of fiction. Hilary has also worked in machine learning and data science, having built a machine learning R&D company called Fast Forward Labs, which she sold to Cloudera. She was the chief scientist at Bitly and even a computer science professor. Samuel wanted to talk to Hilary not only because of her varied experiences but also because she has thought deeply about how to use AI productively—and far from naively—in games and other applications. She believes that artificial intelligence, including the current crop of generative AI, should be incorporated thoughtfully into software, rather than used without careful examination of its strengths and weaknesses. Additionally, Samuel, who often considers non-traditional research organizations, was eager to get Hilary's thoughts on this space, given her experience building such an organization. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Music by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠George Ko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Suno

Want to make the most out of your next podcast appearance? https://content.leadquizzes.com/lp/fk1JL_FgeQ Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com  = = Congressman Gerry Connely maintains that that the platform is the solution; today, we discuss the topic of data strategy with Rob Carey of Cloudera. Rob begins by stating that when it comes to managing data, you need to consider what the outcome may be. For example, if you are assembling data on nuclear weapons, you need much more care than putting together traffic information. Some would say that this is the difference between serious data and a newly coined phrase “Everyday AI.” In other words, negligible risk decisions. This differentiation can assist in making budget decisions. Rob goes on to discuss the expanded attack surface. With all of today's sensors and data centers, many agencies are starting to use “petabytes” to describe the amount of information they are ingesting. Companies like Cloudera can assist federal tech leaders by giving them a system where they can provide governance. For example, he describes an offering called Cloudera Security Governance Lineage. This provides a view of data from “soup to nuts.”  Allowing managers to profile data, clean the data, and provide lineage tracking. Federal agencies must not treat all data as being equal. Limited resources force systems administrators to view data from legacy systems, the hybrid cloud, and new sensors as part of a priority.

Ari Zilka is CEO of mydecisive.ai, the general-purpose observability engine built on OpenTelemetry. Ari was previously the CTO of Hortonworks which built products on top of open source Apache Hadoop and merged with Cloudera in 2019. In this episode, we dig into the similar patterns Ari sees between Hortonworks / Hadoop and mydecisive.ai / OpenTelemetry, why large enterprises don't want their data to be held hostage and are shifting towards OpenTelemetry, how open source switches costs from vendors to engineering, why he's focused on building the community before monetizing, his view on monetization ("the developer bakes you in, the operator pays for it"), why the "ops" side of "devops" carries the money, and the learnings from building Hortonworks that he's bringing into mydecisive.ai.

What lessons can product leaders learn from scaling multiple product businesses? In this episode of Product Talk hosted by Sid Shaik, Temporal Technologies Fmr. COO Charles Zedlewski speaks on his career in product management and lessons learned from scaling multiple product businesses. Charles shares insights on becoming a successful PM without a technical background, emphasizing the importance of building technical depth over time. He discusses philosophies for collaborating closely with engineering teams and getting the "soul of the product" to live in their hearts. Charles also talks about his experience scaling Cloudera's Hadoop distribution and lessons from launching new features. Overall, the discussion provides perspectives on product growth strategies, frameworks for conceptualizing customer journeys, and approaches to partnerships between organizations.

On this episode of The Six Five On the Road, hosts Daniel Newman and Patrick Moorhead welcome Dipto Chakravarty, Chief Product Officer at Cloudera for a conversation on Cloudera's growth and product-led innovations and their position as AI continues to disrupt compute infrastructure at Cloudera Elevate 25. Their discussion covers: An overview of Cloudera's growth strategy and specific product-led innovations Cloudera has planned  Cloudera's “nexus of trusted data” and how this makes their cloud platform unique  How Cloudera positions themselves as AI usage trends continue and how Cloudera's trusted data will make a difference for customers  

016: Okera Data Management | Amandeep Khurana is CEO & Co-Founder of Cerebro Data.  His company works with cloud native data management and governance software for enterprises.  Before this he was the Principal Solutions Architect at Cloudera Inc, where he worked with Cloudera's customers to help them with their adoption and usage of the Hadoop ecosystem. *** For Show Notes, Key Points, Contact Info, & Resources Mentioned on this episode visit here: Amandeep Khurana Interview. ***   Ready to part ways with your land in Florida? Visit our Sell My Land Florida webpage and discover a straightforward way to say goodbye to your property!

On this episode of The Six Five - On the Road, hosts Daniel Newman and Patrick Moorhead welcome Abhas Ricky, Chief Strategy Officer at Cloudera for a conversation on Cloudera's enterprise AI ecosystem at Cloudera Elevate 25. Their discussion covers: How Cloudera is helping customers use AI in production  Cloudera's strategy to use hybrid to drive growth The latest update to Cloudera's enterprise AI ecosystem  

On this episode of The Six Five On the Road, hosts Daniel Newman and Patrick Moorhead are at Cloudera Elevate 25 where they welcome Charles Sansbury, Chief Executive Officer at Cloudera for a conversation on Cloudera's growth strategy, which includes hybrid cloud and AI. Their discussion covers: Cloudera's strategy and key investments for growth How Cloudera is using AI to help their customers Cloudera's plan for hybrid cloud and how are the customers reacting  

We're featuring another popular session from ELC Annual 2023 – welcome to “Healthy Tension: GTM & Product/Eng Collaboration at Hundreds of Millions ARR Scale” with Tido Carriero, (Co-Founder @ Koala and Former VPE @ Segment) and Joe Morrissey (General Partner @ a16z & Former CRO @ Segment)! Tido & Joe share stories from the beginning of their partnership at Segment, including their first cross-functional annual planning meeting. They highlight lessons learned from those early days and how others can implement annual planning session frameworks to develop value drivers for their org in order to better serve customers & create products with value. Joe & Tido also cover how to build a healthy, trusting relationship between product & eng when it comes to building / executing a successful GTM strategy.ABOUT TIDO CARREIROTido is the Co-Founder & CEO of Koala. Prior to Koala, he led the Product & Engineering team at Segment from less than $5M in ARR to their $3.2B acquisition by Twilio.“I had been at Segment for four years. The big unlock for me and I think what I needed to lean into more in retrospect from a trust perspective was that Joe was really going to be a different kind of go to market partner. We had zoomed way out. We had looked at a multi-year strategy, not just a list of 25 features and ordering them quarter by quarter by quarter.”- Tido Carriero   ABOUT JOE MORRISSEYJoe Morrissey is a general partner on the Growth investing team at Andreessen Horowitz, focused on enterprise technology companies. Prior to joining a16z, Joe was chief revenue officer at Segment, where he scaled revenues to upwards of $200M ARR in advance of the company's $3.2B acquisition by Twilio. Before Segment, he was was the EMEA vice president and general manager for three open source software companies: Hortonworks, which combined with Cloudera in a $5.2B merger in 2019; MongoDB, which went public in 2017; and MySQL, which was acquired by Sun Microsystems for $1B in 2008. Joe holds a bachelor's degree in business studies from the University of Limerick, Ireland. He currently serves on the boards of Neon Inc., and Hopsworks AB and lives in Menlo Park with his wife and two kids."You've got to go through this tension and I think one of the things that can happen is you avoid the tension, you avoid the conflict, you say yes to things that maybe you're not comfortable with both on the product and on the go to market side then the plan goes wrong, right? So I really think like the tension is the critical thing and that the struggle is the critical thing and that's where the learning is.”- Joe Morrissey   We now have 10 local communities of engineering leaders hosting in-person meetups all over the world!Local communities are led by eng leaders just like you, who wanted to create a place to connect, share insights & tackle critical challenges in the job.New York City, Boston, Chicago, Seattle, Los Angeles, San Diego, San Francisco, London, Amsterdam, and Toronto in-person events are happening now!We're launching local events all the time - get involved at elc.community!SHOW NOTES:Joe's first impressions of Tido & the beginning of their relationship (2:28)The story of their low point & working together on annual planning (5:32)What was agreed on in the annual planning session (7:44)Focusing on value drivers & building a trusting GTM partnership (10:55)Why it's necessary to embrace tension in order to drive growth (15:01)Tido's lessons learned leading eng product & sales @ Koala (16:05)Audience Q&A: Frameworks for narrowing down value drivers (19:00)The importance of cross-functional participation in planning sessions (22:21)An inside look at the exercise of identifying value drivers (24:02)How deep should salespeople go on the product? (26:27)How does annual planning change day-to-day operations for the year? (27:56)Describing the Lighthouse program (30:10)Reorganizing the org to meet the three identified value drivers (32:32)Engineering leadership's involvement during the annual plan (35:24)Strategy behind building a platform (38:38)LINKS AND RESOURCESVideo version of this episodeMore sessions from ELC AnnualThis episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

As a self-described “gainfully unemployed data person”, Josh Wills is an angel investor and has worked on and led data teams at Slack, Cloudera, WeaveGrid and Google. We discuss: How to get started with angel investing without a ton of $$ Attributes that define great engineering managers What's it like transitioning from management back to IC Challenges in Climate Tech from a software perspective And more   Segments: [0:01:35] Transitioning from management to individual contributor (IC). [0:10:19] Emotional intelligence and its role in engineering management. [0:25:21] Contrasting the hard power of management with the soft power of senior individual contributors. [0:37:18] Addressing challenges in climate technology. [0:51:34] The importance of practicality and how to assess it in interviews. [0:56:01] Josh's journey into angel investing. [1:12:59] Criteria used by Josh to evaluate whether to invest in a startup.   Show Notes: Josh on Twitter: https://twitter.com/josh_wills The “Touchy Feely” course at Stanford: https://www.gsb.stanford.edu/experience/learning/leadership/interpersonal-dynamics Jason Calacanis's book on angel investing: https://www.amazon.com/Angel-Invest-Technology-Startups-Timeless-Investor/dp/0062560700   Stay in touch:

Meet the team Thamel NYC, Nijjwol Lamsal, a senior partner engineer at Cloudera and the brains behind Thamel NYC. Lelin Kandel, training manager at Imperial Advance, is also a Partner at Thamel NYC. And that's not all – we've got the powerhouse trio of Roshan Gauchan, Jimmy Gurung, and Yogendra Limbu, all working their magic at Thamel NYC.

Leading global tech analysts Patrick Moorhead (Moor Insights & Strategy) and Daniel Newman (Futurum Research) are front and center on The Six Five analyzing the tech industry's biggest news each and every week and also conducting interviews with tech industry "insiders" on a regular basis.    The Six Five represents six (6) handpicked topics that will be covered for five (5) minutes each.    Welcome to this week's edition of “The 6-5.” I'm Patrick Moorhead with Moor Insights & Strategy, co-host, joined by Daniel Newman with Futurum Research. On this week's show we will be talking:   NVIDIA Getting into DC AI ASIC Market? https://twitter.com/PatrickMoorhead/status/1757483843354079548 https://www.cnbc.com/2024/02/09/nvidia-chases-30-billion-custom-chip-market-with-new-unit-reuters.html Custom ASIC: Broadcom & Marvell. Merchant ASIC: Intel Habana, Groq, UntetherAI   Upcoming IFS “Direct Connect” Event Preview https://twitter.com/PatrickMoorhead/status/1758139102439108752   Plus AI Open Auto Platform https://plus.ai/news-and-insights/plus-launches-open-platform-for-autonomy-to-scale-deployment-of-all-levels-of-autonomous-driving-technology   Cisco Q2 FY2024 Earnings https://twitter.com/danielnewmanUV/status/1758136567250776572 https://twitter.com/danielnewmanUV/status/1757874967943761953 https://twitter.com/danielnewmanUV/status/1757867283341279424 https://twitter.com/PatrickMoorhead/status/1758492279239532803   Lattice Q4 FY2023 and 2023 Earnings https://twitter.com/danielnewmanUV/status/1757170965367206351 Revenue: 3% miss; EPS: small beat, Forecast: $25M less than consensus  https://twitter.com/PatrickMoorhead/status/1758489528224907767   Cloudera Elevate 2025 SKO Event https://twitter.com/PatrickMoorhead/status/1757817666646008085 https://twitter.com/danielnewmanUV/status/1757843125354037738 Modern Data Platform, GenAI, Hybrid Cloud   Disclaimer: This show is for information and entertainment purposes only. While we will discuss publicly traded companies on this show. The contents of this show should not be taken as investment advice.

Can you still call them the FAANG companies considering Facebook is now Meta and Google is now Alphabet? Maybe it's MAANA now?! Elliott Clark (CEO/Founder, Batteries Included) talks about creating a Platform Engineering org and building an IDP before it was cool.SHOW: 773CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"SHOW SPONSORS:Learn More About Azure Offerings : Learn more about Azure Migrate and Modernize & Azure Innovate!Azure Free Cloud Resource Kit : Step-by-step guidance, resources and expert advice, from migration to innovation.CloudZero – Cloud Cost Visibility and Savings​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendDatadog Kubernetes Solution: Maximum Visibility into Container EnvironmentsStart monitoring the health and performance of your container environment with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.Datadog Synthetic Monitoring: Frontend and Backend Modern MonitoringEnsure frontend issues don't impair user experience by detecting user-facing issues with API and browser tests with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt. SHOW NOTES:Topic 1 - Welcome to the show. Elliott, you have some great experiences at Cloudera and Meta/Facebook that shaped you moving out to start your own thing at Batteries Included. Give everyone a brief background please.Topic 2 - You were building Internal Developer Platforms (IDP) and doing Platform Engineering before it was cool. Tell everyone a little about the need and how it came to be at Meta/Facebook.Topic 3 - I think it's probably important to talk about the origin stories for this. What was the problem to solve? How was it solved? What was the final “product” and how was it used?Topic 3a - Anything you would have done differently?Topic 4 - We always hear stories about the FAANG companies and the scale they operate in. But, we hear mixed things about if following those practices are a good idea. Some say we should use them because we know it is repeatable at scale. Others say the practices are only relevant at those companies and most organizations don't need that level of complexity. Thoughts? What are the pros and cons?Topic 5 - What are your thoughts on the current and future state of Platform Engineering and Internal Developer Platforms? There seems to be a tension between being prescriptive or opinionated enough for operations to scale vs. developers needing to use the tools they know and love to be as productive as possible. Thoughts?Topic 6 - Let's talk about Open Source. Many have heard about Backstage when it comes to Platform Engineering and we've even talked about it on this show before. What are your thoughts around building these platforms on OSS. Also, any thoughts on OSS being cost prohibitive?FEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet

Amr and I met on a genAI panel and everything he said was both insightful and contrarian. Immediately, I knew I wanted to introduce him to you. Amr is a legend in the search space who, by the way, also founded Cloudera which went public in 2017 at a valuation of over $5B.Dr. Amr Awadallah is a luminary in the world of information retrieval. He's the CEO and cofounder of Vectara, a company that is revolutionizing how we find meaning across all languages of the world using the latest advances in Deep Neural Networks, Large Language Models, and Natural Language Processing. He previously served as VP of Developer Relations for Google Cloud. Prior to joining Google in Nov 2019, Amr co-founded Cloudera in 2008 and as Global CTO. He also served as vice president of product intelligence engineering at Yahoo! from 2000-2008. Amr received his PhD in EE from Stanford University, and his Bachelor and Masters Degrees from Cairo University, Egypt.Listen and learn...How Amr discovered the power of "talking to software" via LLMs while at GoogleAbout the history of new computing modalitiesAbout the current state of generative AIThe technical explanation for hallucination in LLMsHow do we mitigate bias in LLM models and prevent copyright infringementWhy a semantic understanding of queries is the next frontier in searchThe challenge faced by search providers of making money incorporating ads into LLM-based answersHow "grounded search" will fix the hallucination problemWhat is a "fact" in the era of ChatGPT?How long before we have "antivirus sofware for fact-checking" genAI propagandaHow should AI be regulated... and who is responsible for AI regulationThe next big idea in genAI Amr and I are ready to fundAmr's advice to entrepreneurs... and to himselfReferences in this episode...Eric Olson, Consensus CEO, on AI and the Future of WorkD Das, Sorcero CEO, on AI and the Future of WorkSeth Earley, Earley Information Science, on AI and the Future of WorkChatGPT for searching scientific papers

In this episode we welcome serial investor, CEO and board member Tom Reilly who shares his insight into business growth, leadership and the role of a CEO. KEY TAKEAWAYS FROM THIS EPISODE What is the role of a CEO? The Three Essential Ingredients to Scaling a Business How to lead leaders The Story of a Ten Figure Exit THIS WEEK'S GUEST Tom Reilly has a thirty year career forming, leading, scaling and advising high-growth enterprise software and cybersecurity vendors. After an early career with IBM and running sales in the 90s for Lotus and BroadQuest, he became CEO of Trigeo, which was sold to IBM in 2004, and then became President and CEO of ArcSight, which he scaled globally, took through an IPO and exited to HP for over $1.5Bn and then CEO of Cloudera which he IPO'd with a $3Bn valuation and a $5.2Bn merger with HortonWorks. He has served on the boards of companies such as ELoqua, Jive Software, Trusona, Incorta, Datastax and Anomali, and served as the Chair of the Economic Development and Advisory Committee for the City of Sausalito. Tom is proud to support the work of Cybermindz.org, for more information about their incredible work in mental health within the cybersecurity community, please visit https://cybermindz.org/ YOUR HOST Simon Lader is the host of The Conference Room, Co-Founder of global executive search firm Salisi Human Capital, and podcast growth consultancy Viva Podcasts. Since 1997, Simon has helped cybersecurity vendors to build highly effective teams, and since 2022 he has helped people make money from podcasting. Get to know more about Simon at: Website: https://simonlader.com/ Make Money from Podcasting: https://www.vivapodcasts.com/podcastpowerups Twitter: https://twitter.com/simonlader LinkedIn: https://www.linkedin.com/in/headhuntersimonlader The Conference Room is available on Spotify, Apple Podcasts, Amazon Music iHeartRadio And everywhere else you listen to podcasts!