Introduction and Welcome Address

Max Artemenko, Founder of BCI Summit, provides an overview of BCI Summit - growth, focus and plans. Learn about the critical points that bring our community together and what's coming next.

Data Lineage and Cataloging

With growing numbers of enterprise data sets, lakes, streams and APIs combined with expanding systems locally and in the cloud - tracking data lineage has become anything but simple. Learn about the pitfalls as well as strategies and approaches that some of the leading data executives in the world are embracing to tackle data lineage, cataloguing and management the right way.

Data Quality; Reactive to Proactive

While data collections expand exponentially, the quality of the data is one of the most critical components to make the data usable. While many organizations employ teams and systems to cleanse and verify the data, others are taking action to ensure that the data is at its highest quality prior to storing it. Learn how leading Fortune 500 executives are dealing with data cleaning and quality control, reactive to proactive, and the lessons they have learned.

AI/ML Ethics, Strategies and Advancements

As utilization of AI/ML systems in the enterprise begins to surge, fine-tuning strategies to maximize performance and minimize risk quickly becomes a daunting task. Learn how some of the world's leading executives have navigated the complex waters of AI Ethics and Strategy Planning amidst growing regulations, increased complexity and timing issues.

AI-based Strategic Decision Making for Enterprise

AI/ML tools and models have been in use for many years now, especially in financial and data driven organizations. Yet how effective and accurate are these systems in utilizing data and models to contribute to long-term strategies and decisions for enterprise environments? Learn how leading executives had utilized such AI systems on a micro to macro levels in strategy development and planning.

AI-based Revenue Growth and Data Monetization

It is estimated that nearly half of the data collected by many corporations is stored and remains unused for various reasons. While these systems and data stores consume many resources and often large costs, their utility is not always easy to see. Learn how some of the leading data executives have managed to monetize unused data, cut costs, and implement effective strategies to optimize data assets.

Multi-cloud Risks and Strategies

Complex multi-cloud enterprise environments require extensive architecture planning and development, while new regulations, changing political environments and other factors are making the situation even more difficult. Transitioning to multi-cloud and hybrid environments has added additional levels of complexity as well data governance and cataloguing challenges topped with new risks. Learn how some of the leading enterprise technologists have navigated these difficult environments and the lessons they have learned.

Dynamic Privacy and Regulations

As data privacy has been a growing concern with current and anticipated regulation changes, adapting to dynamic privacy controls has proven tremendous value for many organizations. Learn how leading corporations are utilizing dynamic privacy controls to mitigate regulations while maximizing results and staying agile.

Multi-cloud Security and Human Impact

While multi-cloud environments are challenging on their own, cybersecurity risks are growing at a record rate from local and international origins. As maintaining diligent security practices is critical, risks that arise from human interactions and their impact are just as important. Learn how leading CISOs and security experts have worked to establish and maintain not just a thorough technology protocol but also have diligently protected the environment from vulnerable human-related impact.