Assaf Resnick, Co-Founder & CEO of BigPanda, discusses AIOps, its benefits, real-world applications, and how it differs from DevOps and MLOps. They explore implementing AIOps, GenAI improvements, and the excitement in this space.

Internationally renowned security technologist Bruce Schneier discusses the complexities of trust in AI, distinguishing between trust and trustworthiness, exploring the risks of sharing personal data with AI, highlighting the importance of transparency and accountability in AI development, and debating global vs local AI regulations and the role of government sizes in regulation.

Liya Aizenberg, Director of Data Engineering at Away, discusses building successful data teams, fostering trust and collaboration, aligning data projects with business goals, and promoting proactive decision-making. She emphasizes the importance of technical skill sets, knowledge transfer, upskilling, and diversity in tech. The episode explores effective team attributes, measuring ROI in data projects, incremental project management, adopting agile methodologies, and evolving data engineering for generative AI.

Vin Vashishta and Tiffany Perkins-Munn delve into monetizing data and AI, emphasizing aligning initiatives with core business objectives, quick wins, and balancing short-term fixes with long-term vision. They discuss strategies for selling data sets, subscription services, and empowering employees at all levels, highlighting the importance of transparent AI models for trust and seamless integration into various fields.

Explore the concept of data-driven venture capital with Andre Retterath, Partner at Earlybird VC. They discuss challenges in traditional VC, the impact of digitization, data-driven VC process, modern data and AI technologies, human element in VC, early-stage investments, cultural and organizational indicators, and more.

Ilya Strebulaev, Economist & Professor at Stanford GSB, discusses the venture mindset, dealing with uncertainty in innovation, importance of embracing unknowns, adapting to market changes, and practical examples from teaching experiences at Stanford.

Listen to Sailesh Ramakrishnan and Madhu Iyer from Rocketship.vc discuss the evolving landscape of generative AI, data-driven investment strategies in venture capital, emerging trends in data analytics and AI investments, and the impact of AI on jobs and careers. Discover entrepreneurial opportunities in AI and data science while exploring innovative applications in various sectors like healthcare, gaming, FinTech, and more.

Tom Tunguz, General Partner at Theory Ventures, discusses data & AI trends in 2024. Topics include generative AI impact, cloud+local workflows, data security, changes in data warehousing, future of business intelligence, challenges/opportunities in corporate AI, and hot new data startups.

Philipp Herzig, Chief AI Officer at SAP, discusses the role of a CAIO, cross-team collaboration, AI strategy, high-value AI use cases, current AI developments, and the future of AI in organizations. He emphasizes continuous learning, sharing knowledge, and the importance of resilience in the fast-paced AI environment.

Tiankai Feng, Data Strategy & Data Governance Lead at ThoughtWorks, discusses making data governance fun, challenges of data governance, measuring ROI, non-invasive approaches, generative AI implications, and organizational culture in a creative and engaging manner.