CTO at Mode & Field CTO at ThoughtSpot, Benn Stancil, discusses the counter-intuitive success of AI-assisted coding in analytics workflows. He explores the potential of generative AI in problem-solving, future analytics workflows, and AI systems providing qualitative data. The podcast delves into the impact of AI on analytics, the evolution of data tools, and the necessary skill sets for data practitioners in the era of large language models.

Brian Murphy, CEO of ReliaQuest, discusses the impact of generative AI on cybersecurity, including the challenges faced by cybersecurity teams and the potential of generative AI in enhancing defense and offense. The podcast also explores the types of threats organizations face when data is at risk and how generative AI can accelerate cybersecurity threats. Additionally, it highlights the role of AI in enabling offensive cybersecurity and its positive impact on the industry.

Eric Siegel, founder of Machine Learning Week and best selling author discusses why ML projects fail and how to ensure success, the challenges in machine learning project deployment, collaboration challenges between data and business teams, leveraging machine learning for route optimization with UPS, the importance of change management and skills transformation, and the hype and potential dangers of generative AI.

Lori Silverman, author of Business Storytelling for Dummies, discusses common problems in business decision-making, the importance of a methodological framework called SMARTER, the role of a Chief Decision Officer, and the power of storytelling in decision-making. Implementing the SMARTER methodology and handling challenges in decision making are also explored.

Jen Fisher, human sustainability leader at Deloitte, discusses burnout prevention, recognizing and understanding burnout, the impact of technology on human sustainability, driving transformation through psychological wellbeing, and the future of human sustainability in the workplace.

DataCamp's CEO and COO discuss the impact of generative AI in 2023, trends in AI integration into daily life, convergence of tooling and concept of prompt engineering, emerging roles in data and AI, and excitement for AI advancements and production integration.

Anthony Markham, Quantitative Developer, discusses algorithmic trading, machine learning techniques, risk management, and data analysis for handling time series data in this podcast episode. The chapter descriptions highlight the importance of Julia programming language, challenges of supervised ML for stock predictions, back-end tools for algorithmic trading, and core financial concepts and transferable skills.

Cory Munchbach, CEO at BlueConic, discusses the evolution of marketing analytics, moving away from cookie-tracking with the advent of GDPR and CCPA. They explore alternative technologies like fingerprinting and privacy-centric marketing strategies. The podcast also delves into success stories of data impacting customer experience, the changing landscape of customer experience with Geronative AI, the importance of customer segmentation, data clean rooms for privacy compliant data analysis, and the challenges and benefits of adhering to privacy laws in customer analytics.

Alexandra Ebert, Chief Trust Officer at MOSTLY AI, discusses the importance of trust in AI, consequences of trust breaches, fairness in AI systems, challenges with data collection, retraining trust in AI, and the relationship between synthetic data and imputation techniques.

Lea Pica, data storytelling and visualization expert, shares insights on creating compelling data stories using narrative techniques and visual cues. The podcast covers tailoring data storytelling to different audiences, the importance of data visualization, using visual cues to capture audience attention, the concept of 'The Through Line' in presentations, keeping the audience engaged, and using generative AI and humor in presentations.