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Title & Speakers Event
Manasi Vartak – Chief AI Architect and VP of Product Management (AI Platform) @ Cloudera , Richie – host @ DataCamp

The promise of AI in enterprise settings is enormous, but so are the privacy and security challenges. How do you harness AI's capabilities while keeping sensitive data protected within your organization's boundaries? Private AI—using your own models, data, and infrastructure—offers a solution, but implementation isn't straightforward. What governance frameworks need to be in place? How do you evaluate non-deterministic AI systems? When should you build in-house versus leveraging cloud services? As data and software teams evolve in this new landscape, understanding the technical requirements and workflow changes is essential for organizations looking to maintain control over their AI destiny. Manasi Vartak is Chief AI Architect and VP of Product Management (AI Platform) at Cloudera. She is a product and AI leader with more than a decade of experience at the intersection of AI infrastructure, enterprise software, and go-to-market strategy. At Cloudera, she leads product and engineering teams building low-code and high-code generative AI platforms, driving the company’s enterprise AI strategy and enabling trusted AI adoption across global organizations. Before joining Cloudera through its acquisition of Verta, Manasi was the founder and CEO of Verta, where she transformed her MIT research into enterprise-ready ML infrastructure. She scaled the company to multi-million ARR, serving Fortune 500 clients in finance, insurance, and capital markets, and led the launch of enterprise MLOps and GenAI products used in mission-critical workloads. Manasi earned her PhD in Computer Science from MIT, where she pioneered model management systems such as ModelDB — foundational work that influenced the development of tools like MLflow. Earlier in her career, she held research and engineering roles at Twitter, Facebook, Google, and Microsoft. In the episode, Richie and Manasi explore AI's role in financial services, the challenges of AI adoption in enterprises, the importance of data governance, the evolving skills needed for AI development, the future of AI agents, and much more. Links Mentioned in the Show: ClouderaCloudera Evolve ConferenceCloudera Agent StudioConnect with ManasiCourse: Introduction to AI AgentsRelated Episode: RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI & Adjunct Professor at Stanford UniversityRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI/ML Cloud Computing Computer Science Data Governance GenAI Microsoft MLOps RAG Cyber Security
DataFramed
Douwe Kiela – CEO and co-founder @ Contextual AI , Al Martin – WW VP Technical Sales @ IBM

Send us a text We're joined by Douwe Kiela, CEO of Contextual.ai and pioneer in RAG research. From deploying AI agents at Fortune 500 companies to shedding light on data privacy and security, Douwe shares his expertise and insights on how to make data simple, effective, and secure. 00:46 Introducing Douwe Kiela 01:37 RAG - Here to Stay or Go? 06:59 LLMs with Context 08:20 Making AI Successful 10:34 Why Contextual AI? 17:18 LLM versus SLMs 20:28 Speed over Perfection 22:07 Hallucinations 26:02 Making AI Easy to Consume 28:50 Defining an Agent 32:53 Reaching Contextual AI 33:14 The Contrarian View 34:37 The Risks of AI 36:53 For Fun

LinkedIn: linkedin.com/in/douwekiela Website: https://contextual.ai/   Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

AI/ML IBM LLM RAG Cyber Security
Making Data Simple
Event DataFramed 2025-06-30
Richie – host @ DataCamp , Jerry Liu – CEO and Co-founder @ LlamaIndex

The enterprise adoption of AI agents is accelerating, but significant challenges remain in making them truly reliable and effective. While coding assistants and customer service agents are already delivering value, more complex document-based workflows require sophisticated architectures and data processing capabilities. How do you design agent systems that can handle the complexity of enterprise documents with their tables, charts, and unstructured information? What's the right balance between general reasoning capabilities and constrained architectures for specific business tasks? Should you centralize your agent infrastructure or purchase vertical solutions for each department? The answers lie in understanding the fundamental trade-offs between flexibility, reliability, and the specific needs of your organization. Jerry Liu is the CEO and Co-founder at LlamaIndex, the AI agents platform for automating document workflows. Previously, he led the ML monitoring team at Robust Intelligence, did self-driving AI research at Uber ATG, and worked on recommendation systems at Quora. In the episode, Richie and Jerry explore the readiness of AI agents for enterprise use, the challenges developers face in building these agents, the importance of document processing and data structuring, the evolving landscape of AI agent frameworks like LlamaIndex, and much more. Links Mentioned in the Show: LlamaIndexLlamaIndex Production Ready Framework For LLM AgentsTutorial: Model Context Protocol (MCP)Connect with JerryCourse: Retrieval Augmented Generation (RAG) with LangChainRelated Episode: RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI & Adjunct Professor at Stanford UniversityRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI/ML GenAI LLM RAG
Richie – host @ DataCamp , Douwe Kiela – CEO and co-founder @ Contextual AI

Retrieval Augmented Generation (RAG) continues to be a foundational approach in AI despite claims of its demise. While some marketing narratives suggest RAG is being replaced by fine-tuning or long context windows, these technologies are actually complementary rather than competitive. But how do you build a truly effective RAG system that delivers accurate results in high-stakes environments? What separates a basic RAG implementation from an enterprise-grade solution that can handle complex queries across disparate data sources? And with the rise of AI agents, how will RAG evolve to support more dynamic reasoning capabilities? Douwe Kiela is the CEO and co-founder of Contextual AI, a company at the forefront of next-generation language model development. He also serves as an Adjunct Professor in Symbolic Systems at Stanford University, where he contributes to advancing the theoretical and practical understanding of AI systems. Before founding Contextual AI, Douwe was the Head of Research at Hugging Face, where he led groundbreaking efforts in natural language processing and machine learning. Prior to that, he was a Research Scientist and Research Lead at Meta’s FAIR (Fundamental AI Research) team, where he played a pivotal role in developing Retrieval-Augmented Generation (RAG)—a paradigm-shifting innovation in AI that combines retrieval systems with generative models for more grounded and contextually aware responses. In the episode, Richie and Douwe explore the misconceptions around the death of Retrieval Augmented Generation (RAG), the evolution to RAG 2.0, its applications in high-stakes industries, the importance of metadata and entitlements in data governance, the potential of agentic systems in enterprise settings, and much more. Links Mentioned in the Show: Contextual AIConnect with DouweCourse: Retrieval Augmented Generation (RAG) with LangChainRelated Episode: High Performance Generative AI Applications with Ram Sriharsha, CTO at PineconeRegister for RADAR AI - June 26 New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI/ML Data Governance GenAI Marketing NLP RAG
Suds Narasimhan – Product Manager @ Google Cloud , Douwe Kiela – CEO @ Contextual AI

As AI adoption accelerates, many enterprises still face challenges building production-grade AI systems for high-value, knowledge-intensive use cases. RAG 2.0 is Contextual AI’s unique approach for solving mission-critical AI use cases, where accuracy requirements are high and there is a low tolerance for error. 

In this talk, Douwe Kiela—CEO of Contextual AI and co-inventor of RAG—will share lessons learned from deploying enterprise AI systems at scale. He will shed light on how RAG 2.0 differs from classic RAG, the common pitfalls and limitations while moving into production, and why AI practitioners would benefit from focusing less on individual model components and more on the systems-level perspective. You will also learn how Google Cloud’s flexible, reliable, and performant AI infrastructure enabled Contextual AI to build and operate their end-to-end platform.

Google Cloud Next '25

This is PAID event. Pre-registration is required - https://hubs.li/Q02rCNSs0 And get your pass to the future of AI today for less with our exclusive community discount with code: West2024-Community

ODSC West Bootcamp with discount ODSC West in-person tickets with discount ODSC West virtual tickets with discount ODSC West Gen AI summit with discount ODSC West DE summit with discount

Conference will feature expert-led, hands-on instruction in in-demand topics and tools, including:

Generative AI \| NLP \| Responsible AI \| TensorFlow \| MLOps and LLMOps\| Generative AI \| Data Visualization \| Data Engineering \| Machine Learning \| Prompt Engineering \| Large Language Models \| and much more

Confirmed speakers included acclaimed instructors and experts in their fields, such as:

  • Sergey Levine, PhD - Associate Professor\, Computer Science \| Co-founder at UC Berkeley \| Physical Intelligence
  • Douwe Kiela - CEO / Adjunct Professor at Contextual AI \| Stanford University
  • Amit Sangani - Senior Director\, Platform Engineering at Meta
  • Michelle Yi - Founder \| Consultant \| Graph Evangelist \| Board Member at GraphGeeks.org \| Women In Data
  • Laurie Voss - VP\, Developer Relations at LlamaIndex
  • Paige Bailey, Engineering Lead for GenAI Developer Experience at Google
  • Amy Hodler, Founder\, Evangelist for Graph Analytics&Responsible AI \| Author at Graphgeeks.org
  • Leon Song, VP of Research at Together AI
  • Steven Zheng PhD, Senior Staff Software Engineer and Tech Lead at Google DeepMind working on frontier LLMs
  • Mabel Geronimo, Senior Solutions Engineer at GitHub

More speakers, topics and agenda you may find here - https://odsc.com/california/

You’ll also have the opportunity to connect with speakers and peers in a relaxed setting during our networking events like the ODSC Networking Reception, Dinner with Data Scientists, Meet the Speaker session, and more.

Have questions? We can help! Contact us at [email protected]

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

ODSC West 2024 | The Leading AI Builder Conference

This is PAID event. Pre-registration is required - https://hubs.li/Q02rCNSs0 And get your pass to the future of AI today for less with our exclusive community discount with code: West2024-Community

ODSC West Bootcamp with discount ODSC West in-person tickets with discount ODSC West virtual tickets with discount ODSC West Gen AI summit with discount ODSC West DE summit with discount

Conference will feature expert-led, hands-on instruction in in-demand topics and tools, including:

Generative AI \| NLP \| Responsible AI \| TensorFlow \| MLOps and LLMOps\| Generative AI \| Data Visualization \| Data Engineering \| Machine Learning \| Prompt Engineering \| Large Language Models \| and much more

Confirmed speakers included acclaimed instructors and experts in their fields, such as:

  • Sergey Levine, PhD - Associate Professor\, Computer Science \| Co-founder at UC Berkeley \| Physical Intelligence
  • Douwe Kiela - CEO / Adjunct Professor at Contextual AI \| Stanford University
  • Amit Sangani - Senior Director\, Platform Engineering at Meta
  • Michelle Yi - Founder \| Consultant \| Graph Evangelist \| Board Member at GraphGeeks.org \| Women In Data
  • Laurie Voss - VP\, Developer Relations at LlamaIndex
  • Paige Bailey, Engineering Lead for GenAI Developer Experience at Google
  • Amy Hodler, Founder\, Evangelist for Graph Analytics&Responsible AI \| Author at Graphgeeks.org
  • Leon Song, VP of Research at Together AI
  • Steven Zheng PhD, Senior Staff Software Engineer and Tech Lead at Google DeepMind working on frontier LLMs
  • Mabel Geronimo, Senior Solutions Engineer at GitHub

More speakers, topics and agenda you may find here - https://odsc.com/california/

You’ll also have the opportunity to connect with speakers and peers in a relaxed setting during our networking events like the ODSC Networking Reception, Dinner with Data Scientists, Meet the Speaker session, and more.

Have questions? We can help! Contact us at [email protected]

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

ODSC West 2024 | The Leading AI Builder Conference

This is PAID event. Pre-registration is required - https://hubs.li/Q02rCNSs0 And get your pass to the future of AI today for less with our exclusive community discount with code: West2024-Community

ODSC West Bootcamp with discount ODSC West in-person tickets with discount ODSC West virtual tickets with discount ODSC West Gen AI summit with discount ODSC West DE summit with discount

Conference will feature expert-led, hands-on instruction in in-demand topics and tools, including:

Generative AI \| NLP \| Responsible AI \| TensorFlow \| MLOps and LLMOps\| Generative AI \| Data Visualization \| Data Engineering \| Machine Learning \| Prompt Engineering \| Large Language Models \| and much more

Confirmed speakers included acclaimed instructors and experts in their fields, such as:

  • Sergey Levine, PhD - Associate Professor\, Computer Science \| Co-founder at UC Berkeley \| Physical Intelligence
  • Douwe Kiela - CEO / Adjunct Professor at Contextual AI \| Stanford University
  • Amit Sangani - Senior Director\, Platform Engineering at Meta
  • Michelle Yi - Founder \| Consultant \| Graph Evangelist \| Board Member at GraphGeeks.org \| Women In Data
  • Laurie Voss - VP\, Developer Relations at LlamaIndex
  • Paige Bailey, Engineering Lead for GenAI Developer Experience at Google
  • Amy Hodler, Founder\, Evangelist for Graph Analytics&Responsible AI \| Author at Graphgeeks.org
  • Leon Song, VP of Research at Together AI
  • Steven Zheng PhD, Senior Staff Software Engineer and Tech Lead at Google DeepMind working on frontier LLMs
  • Mabel Geronimo, Senior Solutions Engineer at GitHub

More speakers, topics and agenda you may find here - https://odsc.com/california/

You’ll also have the opportunity to connect with speakers and peers in a relaxed setting during our networking events like the ODSC Networking Reception, Dinner with Data Scientists, Meet the Speaker session, and more.

Have questions? We can help! Contact us at [email protected]

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

ODSC West 2024 | The Leading AI Builder Conference
Burak Gokturk – VP & GM, Cloud AI and Industry Solutions @ Google Cloud , Douwe Kiela – CEO & Co-Founder @ Contextual AI

In this session, Douwe Kiela, the CEO and Co-Founder of Contextual AI and an Adjunct Professor in Symbolic Systems at Stanford University, will talk about how Contextual AI is building the next generation of language models leveraging Google Cloud. He will dive deeper into why retrieval augmented generation (RAG; which he pioneered at Facebook) is the dominant paradigm for large language model (LLM) deployments and the role he believes RAG will play in the future of gen AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Google Cloud Next '24
nPlan's ML Paper Club 2024-03-07 · 12:30

This week Vahan will be talking us through World Model on Million-Length Video And Language With RingAttention by Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky and Douwe Kiela.

We look forward to seeing you there and please keep your eyes peeled for details on next weeks in person Paper Club!

Want to learn more about Paper Club?

  • We discuss a different research paper every week. We post each week's paper in our GitHub repo - please read it before the meetup.
  • All events will be hosted on a Google Meets video call. Once a month we also host an in-person event in our London office - watch this space for updates.
  • All recorded presentations can be found in our YouTube channel (don't forget to subscribe!).
nPlan's ML Paper Club
nPlan's ML Paper Club 2024-02-29 · 12:30

This week our very own Gerard will be presenting KTO: Model Alignment as Prospect Theoretic Optimization by Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela.

Want to know more about Paper Club?

  • We discuss a different research paper every week. We post each week's paper in our GitHub repo - please read it before the meetup.
  • All events will be hosted on a Google Meets video call. Once a month we also host an in-person event in our London office - watch this space for updates.
  • All recorded presentations can be found in our YouTube channel (don't forget to subscribe!).
  • If you fancy presenting a paper/your own paper feel free to reach out. We love having guest speakers!
nPlan's ML Paper Club
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