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Richie and Bruce explore the definition of trust, how AI mimics social trust, AI and deception, AI regulation, why AI is a political issue and much more.
Richie, Vin, and Tiffany explore the challenges of monetizing data and AI projects, the importance of aligning technical and business objectives to keep outputs focused on core business goals, how to assess your organizations data and AI maturity, why long-term vision and strategy matter, and much more.
In this session, two experts on AI governance explain which AI policies you need to be aware of, how governments are treating AI regulation, and how you need to deal with them.
Richie and Andre explore the concept of data-driven venture capital, the data-driven VC process, the human element in VC, the challenges and opportunities of early-stage investments, the importance of early identification, and much more.
Richie, Madhu and Sailesh explore the generative AI revolution, the impact of genAI across industries, investment philosophy and data-driven decision-making, the challenges and opportunities when investing in AI, future trends and predictions, and much more.
Join Srujan Akula, the CEO of the Modern Data Company, and John Spens, the Managing Director of Data & AI Services at ThoughtWorks, as they discuss the people, process, and infrastructure initiatives to launch data products.
In this session, Srujan Akula, the CEO at the Modern Data Company, teaches you about what you need to do to set up the people and processes and infrastructure to create data products.
Richie and Tom explore trends in generative AI, the impact of AI on professional fields, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, the challenges and opportunities surrounding AI in the corporate sector and much more.
Richie and Philipp explore what his day-to-day responsibilities are as a CAIO, the holistic approach to cross-team collaboration, AI strategy and implementation, how to approach high-value AI use cases, and much more.
In this session, youll learn how large language models generate words. Our two experts from NVIDIA will present the core concepts of how LLMs work, then youll see how large scale LLMs are developed.
Sanjay and Richie cover the shift from experimentation to production seen in the AI space over the past 12 months, how AI automation is revolutionizing business processes at GENPACT, how change management contributes to how we leverage AI tools at work, and much more.
Swati and Richie explore the role of data and AI at Walmart, how Walmart improves customer experience through the use of data, supply chain optimization, demand forecasting, scaling AI solutions, and much more.
Adel and Kyle explore Kyle’s journey into development and AI, how he became the COO at GitHub, GitHub’s approach to AI, the impact of CoPilot on software development and much more.
In this session, youll learn how to create a simple deep learning model using PyTorch Lightning. Youll work through the steps of defining and training the model, making predictions, and evaluating model performance.
Alex and Adel cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and much more.
Esther Munyi, Amy Grace, Stefaan Verhulst and Malarvizhi Veerappan focus on strategies for improving data quality, fostering a culture of trust around data, and balancing robust governance with the need for accessible, high-quality data.
Richie and Bernard explore how AI will impact society through the augmentation of jobs, the importance of developing skills that won’t be easily replaced by AI, why we should be optimistic about the future of AI, and much more.
Adel and Saurabh explore the importance of data quality and how ‘shifting left’ can improve data quality practices, operationalizing ‘shift left’ strategies through collaboration and data governance, future trends in data quality and governance, and more.