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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. While up to 80% of the enterprise-scale systems Endava works on use the public cloud partially or fully, about 60% of those companies are migrating back at least one system. Are they truly enhancing productivity and reducing costs?

Cloud 210
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Vercel raises $102M Series C for its front-end development platform

TechCrunch

And while some potential users may also be content with using a headless content management system, Rauch argues that increasingly, developers need to be able to build solutions that can go deeper than the off-the-shelf solutions that many businesses use today. Vercel , the company behind the popular open-source Next.js

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The Rest-Assured Way to Overcome RPA Challenges

OTS Solutions

In some cases, to create RPA solutions, robots are used to record the steps of a process and translate the application. In some cases, to create RPA solutions, robots are used to record the steps of a process and translate the application. One reason is that it takes time to learn new system processes and get up to speed.

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

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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How to kick-start your generative AI strategy

CIO

To identify opportunities and determine the potential ROI for generative AI applications, McAfee advises that business leaders consider these four basic steps. Let AI take the first crack at it, edit it, fill in the blanks, and then let the human worker review it,” he says. How do you lose the AI race? By not entering.

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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. applicants signals that your innovation has strong technical and commercial merit and the potential for broad U.S. He is a co-founder and CTO of CoCoPIE LLC. We’re a group of Ph.D.s