The hidden future of AI

A Domino virtual event series

Wisdom of crowds? When it comes to AI there is folly in numbers. Most predictions about AI have been dramatically off the mark. AI is transforming industries, in unexpected ways. From faster patient recruitment in life sciences, stricter regulatory requirements in banking and insurance industries, to shifting priorities for federal mandates, 2025 will be a year of transformation.

Join Dr. Kjell Carlsson and a panel of AI leaders as they discuss what the shift from hype to reality means for stakeholders, and how organizations can navigate these changes to stay ahead. This is your chance to gain a deeper understanding of the future of AI and what it takes to turn predictions into actionable strategies.

Episode 1 - AI in life sciences: Transforming discovery, diagnosis, and innovation on Jan 22nd
Episode 2 - AI in FSI: Unlocking unstructured data and managing risk on Jan 29th
Episode 3 - AI in perspective: What's next in enterprise AI? on Feb 5th
Episode 4 - AI in public sector: Predictions for AI in federal policy, national security, and geopolitics on Feb 19th

What you can expect in the series

Episodes

Transforming discovery, diagnosis, and innovation

Jan 22nd at 10 AM PT / 1 pm ET

Explore how AI is revolutionizing life sciences by driving advancements in drug discovery, diagnostics, and compliance. Join us to uncover the transformative potential of AI and its impact on innovation in healthcare.

AI-driven drug discovery: Moving from proof-of-concept to practical applications.
Enhanced diagnostics: AI improving speed and accuracy in imaging.
LLMs in documentation: Revolutionizing clinical trial records and filings.
Streamlined trials: Faster patient recruitment with AI-powered platforms.
Compliance platforms: Real-time regulatory monitoring for life sciences.

Unlocking unstructured data, agentic AI compliance, and managing risk

Jan 29th at 10 AM PT / 1 PM ET

Discover how AI is transforming the financial services and insurance industries, enabling smarter decision-making and value creation. Join us as we explore key advancements and challenges shaping the future of FSI.

Unstructured data: LLMs extracting value for risk and operations.
Agentic AI compliance: Managing stricter regulatory requirements.
Model governance: Scaling oversight as AI democratizes model creation.
Risk optimization: AI for credit analysis and fraud detection.
AI governance: Transforming processes to manage compliance bottlenecks.

What’s next in enterprise AI?

Feb 5th at 10 AM PT / 1 PM PM

The transformational power of AI is undeniable, but many enterprises struggle to scale amidst infrastructure complexity, regulatory pressures, and talent shortages. Organizations must navigate fragmented environments, rising cloud costs, and the need for robust governance.

In this session, Domino Data Lab and NetApp explore key challenges in AI adoption, including unifying data and model pipeline management and compliance.

We’ll also discuss::

Overcoming infrastructure fragmentation to enable seamless AI scaling.
Addressing governance and compliance in highly regulated industries.
Bridging the gap between data science and IT to drive operational efficiency.
Predictions on unifying data, AI, and infrastructure to drive agility and long-term growth.

Predictions for AI in federal policy, national security, and geopolitics

Feb 19th at 10 AM PT / 1 PM ET

Join us to understand how AI is transforming government and what agencies must do to stay ahead in an era of rapid technological change. Our expert panel will discuss:

AI policies and mandates: Impact of shifting priorities on federal AI adoption.
Geopolitical competition: Global AI’s influence on defense strategies.
Federal and military AI adoption: Progress in leveraging AI to maintain a strategic edge.
Advancements in government AI: Overcoming barriers to operationalize AI for mission-critical use cases.
AI governance: The rise of responsible AI practices.

Featured speakers

Kjell Carlsson

Series host and moderator

Kjell Carlsson is the head of AI strategy at Domino Data Lab where he advises organizations on scaling impact with AI technologies. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research. He has written dozens of reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices. He has spoken in countless keynotes, panels, and webinars, and is frequently quoted in the media. Dr. Carlsson is also the host of the Data Science Leaders podcast and received his Ph.D. from Harvard University.