DataFramed

Dmitry Shapiro, CEO of MindStudio and former CTO of MySpace, shares his expertise on generative AI applications. He discusses the role of small AI agents in enhancing productivity and the necessary organizational changes for successful implementation. The conversation highlights strategies for automation in sales and marketing, and how tools like MindStudio empower non-technical users to create custom AI solutions. Dmitry also addresses AI governance, cost management, and the transformative potential of AI across various industries.

Ram Sriharsha, CTO at Pinecone and a veteran in software engineering, dives into the fascinating world of generative AI applications. He discusses the problem of hallucinations in AI and how retrieval augmented generation can help. Ram explores practical uses for vector databases in chatbots, optimizing performance, and the importance of structured data. He also highlights the future of large language models and the crucial role of data engineering in enhancing AI efficiency. Get ready for a tech-packed conversation that uncovers the secrets of high-performance AI!

In this insightful discussion, John Thompson, the Head of AI at EY, delves into the intricate balance between generative AI's potential and the pressing need for data privacy. He highlights how EY navigates the challenges of adopting AI while safeguarding sensitive information. Key topics include the innovative use of AI for decision-making and the implications of their internal data policies. John also shares perspectives on industry trends and practical strategies for successfully implementing AI in large organizations.

Tathagat Varma, Global TechOps Leader at Walmart Global Tech, discusses the complexities of AI adoption in businesses. He highlights the dual challenges organizations face: either struggling to get started or failing from rushed implementation. Tathagat emphasizes the need for a coherent AI strategy, leadership alignment, and choosing the right pilot projects to address specific problems. He also addresses the importance of balancing short-term returns with long-term customer satisfaction, and the essential skills required for a successful AI journey.

Shinji Kim, Founder and CEO of Select Star, is a data infrastructure expert with experience at Akamai and Facebook. She discusses the frustrating data discoverability issues many face in organizations. Shinji emphasizes the critical role of effective data governance and quality, especially with emerging technologies like AI. She highlights the power of documentation in data management and collaboration between data and business teams, advocating for transparency to enhance decision-making. Her insights offer actionable strategies for navigating today's data complexities.

Amit Mondal, VP & Head of Digital Analytics & Experimentation at American Express, leads a global team championing data-driven decision-making. He discusses the transformative power of experimentation in enhancing customer experiences and the need for organizational buy-in. Amit delves into strategies for creating a culture of experimentation, the significance of data literacy, and ethical considerations in testing. He also navigates the challenges posed by privacy regulations and the decline of third-party cookies, emphasizing collaboration in successful experimentation.

Discover the groundbreaking advancements of Meta's Llama 3.1, touted as the largest open-source AI model yet. Delve into the complexities of training large language models, including the crucial role of hyperparameters and diverse data types. Explore the competitive landscape of open-source versus proprietary models and how they're shaping the future of AI. Experts discuss the potential breakthroughs in generative AI and the ongoing investments driving innovation. This is a riveting look into the constantly evolving world of AI!

Jordan Goldmeier, a bestselling author and digital nomad, discusses the underrated role of Excel in data science. He argues that Excel remains relevant due to its versatility and ease of use, especially for non-technical audiences. The conversation touches on the impact of generative AI on Excel's functionality, along with Power Query's ability to simplify data preparation. Goldmeier emphasizes the importance of clear communication in data analysis and shares insights on fostering a data-driven mindset while transitioning to advanced tools.

In this engaging discussion, Mico Yuk, Co-Founder of the Data Storytelling Academy and a respected voice in the analytics community, dives into the world of AI and its implications for the future of work. She unpacks the balance required between leveraging AI for productivity and addressing job displacement concerns. Mico stresses the importance of soft skills like emotional intelligence in data storytelling, along with the need for continuous learning to navigate the evolving landscape of AI technologies and data management.

Vincent Granville, Founder and CEO of GenAI Tech Lab and a prominent figure in the AI field, discusses the intriguing world of custom large language models (LLMs). He highlights the limitations of standard LLMs and the unique advantages of developing custom solutions tailored to specific corporate needs. The conversation dives into the importance of knowledge graphs, ethical considerations, and the evolving dynamics of AI in information retrieval. Vincent also shares his insights on navigating the complexities of LLM development, including legal and technical challenges.