Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leade...
#265 What You Need to Know About the EU AI Act with Dan Nechita, EU Director at Transatlantic Policy Network
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.With the EU AI Act coming into effect, the AI industry faces a pivotal moment. This regulation is a landmark step for AI governance and challenges data and AI teams to rethink their approach to AI development and deployment. How will this legislation influence the way AI systems are built and used? What are the key compliance requirements that organizations need to be aware of? And how can companies balance regulatory obligations with the drive for innovation and growth?Dan Nechita led the technical negotiations for the EU Artificial Intelligence Act on behalf of the European Parliament. For the 2019-2024 mandate, besides artificial intelligence, he focused on digital regulation, security and defense, and the transatlantic partnership as Head of Cabinet for Dragos Tudorache, MEP. Previously, he was a State Counselor for the Romanian Prime Minister with a mandate on e-governance, digitalization, and cybersecurity. He worked at the World Security Institute (the Global Zero nuclear disarmament initiative); at the Brookings Institution Center of Executive Education; as a graduate teaching assistant at the George Washington University; at the ABC News Political Unit; and as a research assistant at the Arnold A. Saltzman Institute of War and Peace at Columbia. He is an expert project evaluator for the European Commission and a member of expert AI working groups with the World Economic Forum and the United Nations. Dan is a graduate of the George Washington University (M.A.) and Columbia University in the City of New York (B.A.).In the episode, Adel and Dan explore the EU AI Act's significance, risk classification frameworks, organizational compliance strategies, the intersection with existing regulations, AI literacy requirements, and the future of AI legislation, and much more.Links Mentioned in the Show:The EU AI ActConnect with DanCourse: Understanding the EU AI ActRelated Episode: Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of OxfordRewatch sessions from RADAR: Forward EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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#264 From Gen AI to Gen BI with Omri Kohl, CEO and Co-Founder of Pyramid Analytics
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.The convergence of AI and business intelligence is creating new opportunities for innovation. As AI becomes more embedded in BI tools, the challenge lies in fostering a data-driven culture within organizations. How can professionals bridge the gap between intuition and data-driven decision-making? What strategies can be employed to cultivate a culture where data is at the forefront of business decisions? And how can AI tools be leveraged to make data insights more accessible to all employees?Omri Kohl is the CEO and co-founder of Pyramid Analytics, the Trusted Analytics Platform built for the enterprise. He leads Pyramid’s strategy and operations through a fast-growing data and analytics market. Kohl brings a deep understanding of analytics and AI technologies, valuable management experience, and a natural ability to challenge conventional thinking. Since Kohl founded Pyramid in 2009, it has achieved significant market success and customer growth. Kohl is a highly experienced entrepreneur with a proven track record developing and managing fast-growth companies.In the episode, Richie and Omri explore the evolution of BI with AI, the importance of data-driven culture, the role of generative BI in democratizing insights, the balance between intuition and data, and much more.Links Mentioned in the Show:Pyramid AnalyticsConnect with OmriPyramid Analytics GenBI DemoCourse: Introduction to Data CultureRelated Episode: Self-Service Business Intelligence with Sameer Al-Sakran, CEO at MetabaseRewatch sessions from RADAR: Forward EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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Industry Roundup #1: OpenAI vs Anthropic, Claude Computer Use, NotebookLM
Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon the brewing rivalry between OpenAI and Anthropic, discuss Claude's new computer use feature, Google's NotebookLM and how its implications for the UX/UI of AI products, and a lot more.Links mentioned in the show:Chatbot Arena LeaderboardNotebookLMAnthropic Computer UseIntroducing OpenAI o1-previewNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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#263 The Data to AI Journey with Gerrit Kazmaier, VP and GM of Data Analytics at Google Cloud
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.Integrating generative AI with robust databases is becoming essential. As organizations face a plethora of database options and AI tools, making informed decisions is crucial for enhancing customer experiences and operational efficiency. How do you ensure your AI systems are powered by high-quality data? And how can these choices impact your organization's success?Gerrit Kazmaier is the VP and GM of Data Analytics at Google Cloud. Gerrit leads the development and design of Google Cloud’s data technology, which includes data warehousing and analytics. Gerrit’s mission is to build a unified data platform for all types of data processing as the foundation for the digital enterprise. Before joining Google, Gerrit served as President of the HANA & Analytics team at SAP in Germany and led the global Product, Solution & Engineering teams for Databases, Data Warehousing and Analytics. In 2015, Gerrit served as the Vice President of SAP Analytics Cloud in Vancouver, Canada.In this episode, Richie and Gerrit explore the transformative role of AI in data tools, the evolution of dashboards, the integration of AI with existing workflows, the challenges and opportunities in SQL code generation, the importance of a unified data platform, leveraging unstructured data, and much more.Links Mentioned in the Show:Google CloudConnect with GerritThinking Fast and Slow by Daniel KahnemanCourse: Introduction to GCPRelated Episode: Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at GoogleRewatch sessions from RADAR: Forward EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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#262 Self-Service Business Intelligence with Sameer Al-Sakran, CEO at Metabase
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.We’re often caught chasing the dream of “self-serve” data—a place where data empowers stakeholders to answer their questions without a data expert at every turn. But what does it take to reach that point? How do you shape tools that empower teams to explore and act on data without the usual bottlenecks? And with the growing presence of natural language tools and AI, is true self-service within reach, or is there still more to the journey?Sameer Al-Sakran is the CEO at Metabase, a low-code self-service analytics company. Sameer has a background in both data science and data engineering so he's got a practitioner's perspective as well as executive insight. Previously, he was CTO at Expa and Blackjet, and the founder of SimpleHadoop and Adopilot.In the episode, Richie and Sameer explore self-serve analytics, the evolution of data tools, GenAI vs AI agents, semantic layers, the challenges of implementing self-serve analytics, the problem with data-driven culture, encouraging efficiency in data teams, the parallels between UX and data projects, exciting trends in analytics, and much more. Links Mentioned in the Show:MetabaseConnect with SameerArticles from Metabase on jargon, information budgets, analytics mistakes, and data model mistakesCourse: Introduction to Data CultureRelated Episode: Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at FivetranRewatch Sessions from RADAR: Forward EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone.
Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.
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