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Deep tech startups in need of funding should consider federal grants

TechCrunch

Xipeng Shen is a professor at North Carolina State University and ACM Distinguished Member, focusing on system software and machine learning research. who aim to power next-generation technology without the need for expensive hardware that takes billions of dollars to develop and years to deploy. We’re a group of Ph.D.s

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO

Increasingly, however, CIOs are reviewing and rationalizing those investments. Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Are they truly enhancing productivity and reducing costs? We see this more as a trend, he says.

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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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Off the Shelf vs Custom Software: Making the Right Choice for Your Business

Trigent

Here’s all that you need to make an informed choice on off the shelf vs custom software. While doing so, they have two choices – to buy a ready-made off-the-shelf solution created for the mass market or get a custom software designed and developed to serve their specific needs and requirements.

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AI chip startup Mythic rises from the ashes with $13M, new CEO

TechCrunch

“While economic conditions are challenging right now, this new funding will help Mythic focus on its technology offering, go-to-market strategy and customer acquisition,” Dave Fick, Mythic’s newly appointed CEO, told TechCrunch in an email interview. Mythic initially worked on projects for the U.S. So what went wrong?

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How real-time operational insights drive superior tech platform development

CIO

The “one size fits all” approach often employed leads to inadequacies due to inabilities to account for the demands of a broad range of users. Therefore, while tech-driven solutions are promising, they require an approach that’s mindful of these pitfalls. Cost overruns have been another significant concern.

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

In the last few years, Chinese tech giants have been making massive strides at becoming the center of insurance innovation. And the claim filing process being the biggest influencer of customer satisfaction , let’s look at the ways technology can bring revolutionary change to costs, operations, and customer experience. Of course, not.