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From one year to six weeks: Highmark Health teams with IBM to accelerate AI in urgent timestled post

Jennifer C. Clemente

With 720,000 cases annually in the U.S., and a staggering mortality rate between 25 – 50%, sepsis isn’t just life-threatening; it doubles as one of the country’s most expensive inpatient conditions, consuming more than USD 27 billion annually. What’s worse is that COVID-19, like other infections, can lead to sepsis – threatening to tip overwhelmed ICUs over the edge.

Working with 

The Journey to Cloud Smart: Executives Share Their Perspectives

A true journey, the adoption of multi-cloud is both an act of moving from one place to another as well as a long and often difficult process of enterprise change and development. Organizations eager to gain the competitive and economic advantages of multiple clouds can quickly realize spikes in complexity, cost, and security concerns.  In a new executive perspectives video highlighting the journey to cloud smart, Christoph Rode, senior vice president of Cloud Platforms at T-Systems (part of Deutsche Telekom AG), explains, “You realize [our] costs are spiraling up even if you do cost control. I need to control my costs. I need to control security, compliance, and I need help.”

Enterprises Envision Their AI Future with Multi-Cloud

Jennifer C. Clemente

Generative AI is creating waves across nearly every industry thanks to its powerful pattern recognition and data-analysis capabilities. Yet businesses hoping to adopt this technology face significant security, data privacy and infrastructure challenges. Traditional data centers often struggle to handle the demanding requirements of advanced AI workloads, raising concerns about capacity and suitability for the modern digital landscape.

It’s early days for us. We have to make sure that we do this right. We have to solve these fundamental problems first, like security and data privacy, before we can really see what value we can unlock from using generative AI solutions.

Johan Marais, Senior Platform Services Manager, Discovery Holdings

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AI’s Healthcare Revolution Draws Closer with Multi-Cloud

Jennifer C. Clemente

Artificial intelligence is ushering in a new era of precision healthcare. With its ability to analyze vast amounts of data, identify patterns and generate new breakthroughs, AI is already giving healthcare professionals the power to make more accurate diagnoses, develop more personalized treatment plans, and improve overall patient care.  

At the forefront of this healthcare/AI revolution is Siemens Healthineers, which is taking a multi-cloud approach to turbocharge its AI efforts with enhanced security and accuracy. 

By adopting a multi-cloud strategy, Siemens Healthineers can access and analyze data from many sources, allowing it to develop more precise and effective AI algorithms. Accuracy is paramount when you’re dealing with people’s lives.&

Suncorp: Taking a Cloud-Smart Approach to Generative AI

Gearing Up For Sustainability With A Cloud Smart Approach

Fozzy: Ensuring Business Continuity in Ukraine’s Troubled Times

Can a bot named Sam help citizen scientists save our seas?

By Jennifer Clemente

With his furrowed brow and direct gaze, Sam pauses thoughtfully before answering a seemingly innocent question: “Why do you care about marine litter?”

“Good question. I care because the people who created me, the men and women of UNEP, IBM, Soul Machines and our member and state partners care about the oceans and our future. Solving the issue of marine litter is vital to the oceans and our planet.

“The real question to ask is: Do you care?” 

It’s a provocative question—and all the more so because it’s coming from a virtual human.

Indeed, Sam is provocative by design, explains his creator, Richard Darden, a distinguished engineer and digital human evangelist at IBM. Sam’s sol

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