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AI in life sciences offers exciting potential for the prevention, diagnosis, treatment, and perhaps even cure for disease. The layperson will benefit from AI in the form of wearables and increased control over their personalized health. Custom, targeted treatment plans are easier to draw up with AI, as no patient data falls through the cracks. AI is also the future of discovery regarding the intricacies of the human body and the diseases it’s prone to. The ability for AI to process vast amounts of data faster than a team of data scientists and doctors means that human talent can be funneled into the invention of new pharmaceuticals and therapies at a lower cost and shorter time-to-market than ever before.
Key Themes
Evolution from Early RDA to Full-Scale Attended Automation
Learning from Attended Automation Scalability Fails
Selecting the Correct Attended Automation Solution for Your Enterprise
Easing Your Attended Automation Deployment Through Managing Culture
Ensuring your enterprise is nearly free of fraud through the application of AI
Vastly reducing false flags through geo-location, transaction history, etc. to stamp out damage to the bank/client relationship
Continually up-skilling and re-skilling your AI fraud detection tools
12pm ET: Combatting Scaled Automation Risks
Examining the ideal structure your risk organization
Certifying that your AI/IA has technical governance at scale
Collaborating with regulators and external governing bodies to ensure your automation can work at scale
Demonstrate your technical governance ensure that your automation won’t fail at scale
Featured Speakers
Past Event Sponsors
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