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The Rest-Assured Way to Overcome RPA Challenges

OTS Solutions

One reason is that it takes time to learn new system processes and get up to speed. They may also struggle to buy into the changes imposed by a new RPA system because of they have commitments to take care of their standard daily tasks while transitioning to the new system. Challenges of RPA. Complex Deployment Processes.

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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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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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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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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

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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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Glass rethinks the smartphone camera through an old-school cinema lens

TechCrunch

Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.

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