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Low code/no code tools reap IT benefits—with caveats

CIO

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. So there’s a lot in the plus column, but there are reasons to be cautious, too.

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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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The Rest-Assured Way to Overcome RPA Challenges

OTS Solutions

With RPA, a business can also use software configurations to automate tasks. If workers are not trained, a business won’t be able to harness the benefits of this technology. If workers are not trained, a business won’t be able to harness the benefits of this technology. Challenges of RPA. Unskilled Team.

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Valence raises $25M to track team performance with continuous reviews

TechCrunch

Valence , a growing teamwork platform, today announced that it raised $25 million in a Series A round led by Insight Partners. Co-founder and CEO Parker Mitchell said that the tranche will be used to triple the size of the company’s team to 75, expand its sales footprint (particularly in Europe), and build out Valence’s product team.

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‘Just-in-time’ AI: Has its moment arrived?

CIO

For example, because they generally use pre-trained large language models (LLMs), most organizations aren’t spending exorbitant amounts on infrastructure and the cost of training the models. And although AI talent is expensive , the use of pre-trained models also makes high-priced data-science talent unnecessary.

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How to kick-start your generative AI strategy

CIO

Let AI take the first crack at it, edit it, fill in the blanks, and then let the human worker review it,” he says. This type of AI assistant can be delivered through a pre-built, off-the-shelf AI solution. How do you lose the AI race? By not entering. McAfee counters that such risks are manageable.

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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.

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