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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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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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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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Avoid AI pitfalls: Understanding how your business sells is key to a smooth AI deployment

CIO

Many companies struggle with where and how to implement artificial intelligence (AI) into their workflows. This goes beyond the lift and shift integration of data from the legacy system to the new platform. A simple, single-line order goes from 40 clicks to five, and 10 screens to four. Here’s how it works.

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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. In other words, we are walking a mile in our customers’ shoes. Here’s a quick read about how enterprises put generative AI to work).

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

TechCrunch

With its first commercial chip, M1076, Mythic doubled down on computer vision use cases, building a system that can help detect small objects from faraway distances in fewer than 33 milliseconds. Mythic , an AI chip startup that last November reportedly ran out of capital, rose from the ashes today with an unexpected injection of fresh funds.

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Cybersecurity Snapshot: NIST Program Assesses How AI Systems Will Behave in the Real World, While FBI Has Troves of Decryption Keys for LockBit Victims

Tenable

Check out the new ARIA program from NIST, designed to evaluate if an AI system will be safe and fair once it’s launched. 1 - NIST program will test safety, fairness of AI systems Will that artificial intelligence (AI) system now in development behave as intended once it’s released or will it go off the rails?