BrandPost Sponsored by AWS A bold rethinking of front-line physician workflows and back-office processes is streamlining operations and improving providers’ ability to deliver patient care.
BrandPost Sponsored by AWS Forward-thinking technology leaders are deploying a future-ready data strategy that can scale with demand and evolve with changing business requirements.
BrandPost Sponsored by AWS Getting value from AI and machine learning initiatives requires the right combination of mindsets, skill sets, and toolsets – and a modern data strategy.
BrandPost Sponsored by AWS Demand for instant access to financial data from investors and traders around the world has shaken up the financial services industry, and Nasdaq, a pioneer in digitizing the trading process, continues to innovate for customers seeking mobile-first, real-time, mission-critical analytics. Its approach involves embracing the cloud, data and analytics, and an API-first mindset.
BrandPost Sponsored by AWS Legacy data infrastructures can no longer support the massive amounts of data that companies now create and collect. A modern data strategy, created from data lakes, purpose-built data stores, machine learning, and other cloud-based services, removes the restrictions of the traditional one-size-fits-all approach.
BrandPost Sponsored by AWS A recent Gartner report found that companies with AI experience were only able to move 53% of their proof-of-concept projects into production over the previous two years. Factors for the stalled projects or outright failures included a lack of machine learning (ML) skills, organizational inertia, and having the right quantity and quality of data for the models.