All episodes
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Ai in life sciences: Transforming discovery, diagnosis, and innovation
Kjell Carlsson, head of data science strategy and Chris Mcspiritt VP, life sciences strategy
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
Adam Gale Field CTO for Cybersecurity and AI, NetApp and Mike Upchurch VP, Financial Services and Insurance Strategy at Domino Data Lab and Kjell Carlsson, Head of AI Strategy at Domino Data Lab
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. -
AI in perspective: What’s next in enterprise AI?
Kjell Carlsson Head of AI strategy, Domino and Richard Swakla, Data centric workloads specialist, NetApp
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.