Decision-makers’ guide to multi-cloud experiences

IT leaders are embracing multi-cloud to deliver on business demands for greater innovation, scalability, and transformational customer and employee experiences. Those who are already engaged in multi-cloud are maximizing flexibility but also providing insight into the challenges in executing those strategies. Foundry’s 2022 Cloud Computing Survey provides conclusive evidence that cloud is the default option…

5 Steps to Optimized Value Stream Management for Agile and Development Leaders

In an organization’s pursuit of digital transformation and innovation, the onus largely falls on agile and development leaders, who must field requests from business leaders and manage expectations, all while speeding time to market. In performing this balancing act, leaders continue to be stifled by misalignment, which creates tremendous waste and inefficiency and leads to…

How to Drive Sustainable, Data-First Business With HPE GreenLake

When reimagining the IT estate for data-first business, the opportunity is ripe for companies to rearchitect for a more sustainable IT environment. The benefits? Drive cost efficiencies and make headway on meeting corporate environmental, social, and governance (ESG) targets, for starters. The corporate agenda has embraced sustainability, fueled by escalating environmental concerns, because it makes…

Novant Health’s Angela Yochem on changing the cost center mindset

As executive vice president and chief transformation and digital officer at Novant Health, Angela Yochem is responsible for all digital health operations for the not-for-profit healthcare system, including 24/7 clinical services, a device company, data science, an innovation lab, a business growth function that explores new revenue streams for healthcare, and more. Yochem recently added to…

Making the most of MLOps

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. Is there a model that can provide the necessary results? How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate…