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Richie and Sarah explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers, the integration of AI in data processes, and much more.
Richie and Abhas explore the evolving landscape of data security and governance, the importance of data as an asset, the challenges of data sprawl, and the significance of hybrid AI solutions, and much more.
Gorkem Sevinc, CEO and Founder at Qualytics, and Piyush Mehta, CEO at Data Dynamics, will explore how AI is transforming data quality management.
Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon AI agents for data work, will the full-stack data scientist make a return, old languages making a comeback, Pythons increase in performance, what theyre both thankful for, and much more.
Richie, Derek, and Justyna explore the transition from cloud to edge computing, the benefits of reduced latency, the role of AI at the edge, and the future of edge-native applications, and much more.
Adel and Dan explore the EU AI Acts significance, risk classification frameworks, organizational compliance strategies, the intersection with existing regulations, AI literacy requirements, the future of AI legislation, and much more.
Join us for a deep dive into the evolving academic landscape and gain insights into the opportunities and roadblocks ahead in AI-powered learning.
Anandhi, CRAIO at Esdha and Will, a Senior Associate at Ashurst, teach you how you and your organization can comply with the AI literacy clause of the EU AI Act.
Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, walks you through the basics of creating AI agents in Python.
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 Claudes new computer use feature, Googles NotebookLM and how its implications for the UX/UI of AI products, and a lot more.
Richie and Gerrit explore 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, and much more.
Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned in the first part of the two part series into practice.
Cap off the day with an AMA with Maggie Remynse-Chou, VP of Curriculum at DataCamp, Cornelius Lejeune, VP of Product at DataCamp, and Ryan Meuse, Head of Product for DataLab at DataCamp.
Three industry experts discuss the state of AI hype, whether this wave of innovation is going to plateau, what to expect from GenAI in 2025, and a lot more.
Three industry experts discuss how AI is reshaping the L&D function, how to best drive AI literacy for the wider organization, and how learning teams can future proof their workflows for 2025 and beyond.
Three industry experts discuss strategies to turn GenAI investments into positive ROI in 2025, how to align GenAI projects with business goals, optimize AI-driven workflows, and measure their success.
Three guests explore the impact of LLMs and GenAI on analytics and data functions in 2025, how they will lower the barrier to entry for working with data, the skills data teams need to develop, and a lot more.
Join us as we welcome you to Radar: Forward Edition, highlighting the state of data & AI literacy today, and what the future holds for data & AI.