DataFramed

Savin Goyal, Co-Founder and CTO of Outerbounds, dives into the evolving role of the data scientist, blurring lines between data science and software engineering. He discusses the concept of the Full Stack Data Scientist, emphasizing the need to transition models from projects to production. Savin shares insights on the importance of model reliability, the challenges of MLOps, and the power of tools like Metaflow to streamline the deployment process. He also highlights strategies for overcoming hurdles in machine learning implementation and the collaborative future of AI.

In a captivating discussion, Verity Harding, a leader in technology and public policy, shares insights from her upcoming book, "AI Needs You." She explores vital historical parallels between the space race and AI, emphasizing the geopolitical dimensions of technological advancements. Verity discusses societal anxieties surrounding AI, likening them to past concerns with IVF, and highlights the importance of thoughtful regulation. She advocates for public engagement in shaping AI’s future, urging diverse perspectives to guide its evolution responsibly.

In this engaging discussion, Tom Tunguz, a General Partner at Theory Ventures, Edo Liberty, CEO of Pinecone, and Nick Elprin, CEO of Domino Data Lab, delve into the future of generative AI. They explore emerging trends and the transformative impact AI will have on various industries. The conversation covers challenges in deploying AI technologies, innovations in model training, and the evolving infrastructure needed for success. With insights on productivity enhancement and the importance of skill adaptation, the trio paints an exciting picture of what lies ahead.

Barr Moses, CEO of Monte Carlo, Prukalpa Sankar, Founder of Atlan, and George Fraser, CEO of Fivetran, dive into the pressing issues of data quality in the realm of generative AI. They explore the critical need for high-quality data and the unique challenges organizations face. The discussion highlights the importance of trust and transparency in dynamic data ecosystems, along with best practices for fostering collaboration. They also present a structured three-step framework for enhancing data quality and the role of leadership in driving effective governance.

In this conversation, Alex James, Chief AI Officer at DataMiner, Dimitri Shapiro, CEO at MindStudio, and Karen Tan, a learning solutions architect at DataCamp, dive into the powerful impact of Large Language Models on programming. They discuss how these models are revolutionizing coding workflows and enhancing efficiency in software development. The trio also explores the future of AI in the workplace, automation across industries, and the vital role of communication skills for those looking to thrive in the evolving AI landscape.

Giorleny Altamirano Rayo, Chief Data Scientist at the U.S. Department of State, Mike Baylor, Vice President at Lockheed Martin, and Carolann Diskin, Senior Technical Program Manager at Dropbox, dive into the pressing need for AI upskilling in the workforce. They discuss how to develop engaging internal AI academies, from crafting effective curricula to fostering a culture of continuous learning. Insights into measuring ROI for training and embracing diverse learning modalities offer actionable strategies for organizations eager to enhance their AI capabilities.

Shuang Li, Group Product Manager at Box, brings her extensive background in data, analytics, and machine learning. She shares her journey from academia to tech and discusses the challenges of building effective data platforms. Topics include creating actionable and trustworthy data, overcoming data silos, and the importance of strong team collaboration. Shuang also dives into data observability, budget strategies, and the exciting future of AI-enhanced data management, making the case for how foundational work drives company success.

In this engaging discussion, Robb Wilson, Co-founder and CEO of OneReach.ai, dives into the evolving landscape of AI and conversational interfaces. He highlights the pitfalls of overlaying chatbots onto existing software. Robb explores balancing human interaction with automation, illuminating the vital role of tone in chatbots. He addresses the complexities of testing AI, emphasizing real-world data for refinement. The conversation wraps up with insights on scalability and the future of job roles in an AI-driven world, advocating for a human-centric approach.

Venkat Raghavan, Director of Analytics and Science at Tesco, shares his expertise on leveraging data in retail. He dives into the transformative power of Tesco’s Clubcard, highlighting its role in building customer loyalty. Venkat explains how AI and analytics are used to enhance shopping experiences while balancing immediate needs with long-term goals. He also discusses the challenges of data integration in large organizations and the innovative use of Natural Language Processing to better understand customer emotions, driving deeper retail insights.

Denis Yarats, Co-founder and CTO of Perplexity AI and former research scientist at Facebook, chats about the transformative potential of AI in search. He discusses how Perplexity AI aims to outsmart traditional search engines like Google by providing faster, AI-assisted results. The conversation explores innovative strategies for fostering a collaborative tech culture, tackling misinformation, and the future implications of large language models. Denis also shares insights on the importance of user experience design in generative AI products.