Transformational AI

Chairpersons welcome and opening remarks.

The opportunity for data and AI to improve patient outcomes and reduce the cost of care is monumental. There are four major areas where AI, ML and NLP are transforming healthcare:

1. Streamlining administrative processes and workflows
2. Innovating Clinical diagnostics and robotics
3. Unlocking full value of precision medicine and clinical decision support
4. Personalizing patient engagement

While the quality, quantity and scalability of data sets continue to be cornerstone to drive AI revolution, we will discuss how critical it is for leaders to instill AI-first culture and prioritize both strategy and long-term investments in building an effective, enterprise-wide data platform with AI-orchestration engine.

How do you move from experimenting with AI, to truly innovating and creating value? In this session, we’ll share three key learnings on how to solve real-world business problems and deliver tangible impact with AI, including:  

• The importance of planning and alignment on AI use cases 
• How to leverage AI model factories for scalable success 
• The powerful potential of AI Centers of Excellence
   

Plus, we’ll show how one DataRobot customer has realized success with transformational AI. 

• Popular use cases in the graph field including financial services GNN use case.
• How organizations access untapped signals in their data by applying Graph Neural Network.
• An overview of Katana Graph Intelligence Platform.

• Discussing how AI is creating significant value across industries.  
• How does AI serve to benefit both small and medium business, as well as large enterprises? 
• What are the implications of ethical AI when trying to digitalise services? 
• A future focus, what are the next steps for AI led digital transformation? 

There are a lot of misconceptions about what data science can bring to an organization. The excitement of incorporating the latest ML model can be enticing, but there are steps that organizations need to take before your ML or AI project can come to fruition. Many of the crucial points are in preparation. Here, we will discuss how to prepare for your ML project and provide guidelines for getting the most out of your data science team.

We will discuss AI shaping humanity’s future and saving lives today. The speech will follow a NIX United industry case about innovative healthcare technology.

• How AI affects businesses today
• AI Landscape now
• How AIVF Transforms the Traditional Approach to IVF

As enterprises expand their artificial intelligence (AI) efforts, they must address important and sometimes difficult questions. Is AI being used responsibly, are uses of data and AI ethical? In this panel we will address what responsible AI means, how to make responsible AI a part of the company’s DNA, why diversity in AI remains a challenge, why it is important to have diversity for those who are implementing the AI technology itself and examine the diversity hiring challenges and retention. Join us for this informative discussion with an impressive lineup of expert panelists.