Tag: AI

Technology And Trends Shaping Insurtech In 2019 And Beyond

Technology And Trends Shaping Insurtech In 2019 And Beyond

InsurTech – Multiple disruptive forces are reshaping the global insurance sector. Technology such as artificial intelligence (AI), machine learning (ML), blockchain and internet of things (IoT) solutions stand on one end, and nimble, innovative insurtech startups sit on the other. These technology advancements are forcing traditional incumbents to rethink their business models and accelerate their…
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IoT Device Security Concerns Could Limit IoT Growth

IoT Device Security Concerns Could Limit IoT Growth

Would you deploy an IoT device if you knew it could be hacked? Surprisingly, the answer is usually “yes.” Even though security exploits are frequently reported, billions of devices are deployed every year because, in most cases, the tangible benefits of IoT solutions outweigh any perceived risks. However, a big increase in device breaches would…
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AI-Driven DevOps With RPA tools

AI-Driven DevOps With RPA tools

DevOps – Robotic process automation (RPA), which essentially is a software used to capture and interpret existing applications for the purpose of automating IT processes across the organization, has gained a lot of traction across enterprises over the past few years. RPA automates rules-based tasks; hence, it is important to identify the problem and all…
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The Role Of AI In Creative Work

The Role Of AI In Creative Work

It’s hard not to argue that technology aids creative work. This has been true for decades. But in the age of AI, what are the implications for creators as machines become more intertwined in the process? As AI tools take on more complex tasks, you may assume that creatives are worried about their place in…
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Pentagon advisory board releases principles for ethical use of artificial intelligence in warfare

Pentagon advisory board releases principles for ethical use of artificial intelligence in warfare

Hoping to prepare for what many see as a coming revolution in weaponry enabled by artificial intelligence ― and convince a skeptical public that it can apply such innovations responsibly ― the U.S. military is taking early steps to define the ethical boundaries for how it will use such systems. On Thursday, a Pentagon advisory…
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Questioning The Long-Term Importance Of Big Data In AI

Questioning The Long-Term Importance Of Big Data In AI

Big Data – No asset is more prized in today’s digital economy than data. It has become widespread to the point of cliche to refer to data as “the new oil.” As one recent Economist headline put it, data is “the world’s most valuable resource.” Data is so highly valued today because of the essential…
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Top 5 benefits of DevOps

Big Data Testing For DevOps And Agile: Are Your Installations Keeping Up?

DevOps – It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the talking points have shifted to DevOps, Agile, AI and machine learning, big data never left the scene. On the contrary:…
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AI and Healthcare Are Made for Each Other

AI and Healthcare Are Made for Each Other

Artificial intelligence has the potential to radically change healthcare. Imagine a not too distant future when the focus shifts away from disease to how we stay healthy. At birth, everyone would get a thorough, multifaceted baseline profile, including screening for genetic and rare diseases. Then, over their lifetimes, cost-effective, minimally invasive clinical-grade devices could accurately…
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A machine learning system may have predicted the World Series winner

Machine Learning – The 2019 MLB postseason has been a wild one. The Dodgers imploded in the first round, clearing the way for the Washington Nationals to rout a listless Cardinals team and win their first NLCS since 1933. Back East, the Astros won out against the Yankees for American League dominance and a ticket…
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Delivering collective intelligence with the five pillars of AIOps

Delivering collective intelligence with the five pillars of AIOps

Traditional tools, solutions and approaches weren’t designed in anticipation of the volume, variety and velocity generated by today’s complex and connected IT environments. Instead, they consolidate and aggregate data and roll them up into averages, compromising data fidelity. In today’s high-volume data environment, it’s critical to embrace team collaboration and critical thinking as a way…
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