Tag: AI
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Bringing AI to Life in Financial Services
Change is no easy task. As with most new technologies, AI adoption brings its share of cost and risk as enterprise leaders and department leads work together to build out their experience. Merely identifying an entry point has brought plenty of AI projects to a halt.
Juvare technology harnesses Azure to power emergency response around the world
Disasters strike suddenly, and emergency management needs rapid, scalable access to data and collaborative tools that will empower their response. That’s when they turn to Juvare, one of the most experienced and established emergency response tech providers in the world.
The companies leading with AI are also leading with skilling
Companies today are focused on keeping employees safe while trying to still meet the essential needs of their customers. But we know from our conversations with our customers and partners throughout the United States that business leaders are also beginning to think about how best to adapt and drive recovery as we emerge from this crisis. The business world is changing at an extraordinary pace.
What COVID-19 has taught us about the power and possibilities of AI in health
Tom Lawry | National Director for AI, Health and Life Sciences Ours has been called the information age. There is probably no place where this name rings truer than healthcare. In the 1950s A newly-minted physician would go their entire career before seeing medical information and knowledge double.
Innovating in a period of uncertainty
As an on-going celebration of growth, innovation, and acceleration across the finance industry, this year’s Money Management Institute Summit focused on The Value-Add Imperative — how financial service providers can go beyond their traditional services to positively impact the lives of their customers.
Measuring your way to failure: Thinking beyond your model metrics before deployment
Companies across the Financial Sector are using AI and Machine Learning to model customer behaviors, avoid risk, and streamline critical business processes. Consequently, building and testing Machine Learning models has become an important discipline for many financial institutions.
Securing AI and ML projects: Data and cyber risk management
As Artificial Intelligence and Machine Learning continue to cement themselves as foundational resources for growth and transformation across the financial services industry, organizations must account for the added influx of data flooding into their enterprises.
Executing with AI: Reverse Stress Testing using AI Example
Financial institutions are finding it difficult to insert AI into their financial risk products at scale. Financial institutions have been hiring data scientists, acquiring technology, doing POCs, in short, playing around with AI.