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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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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style.

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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. Even if you aren’t selected, the feedback you receive from the review committee is invaluable. CoCoPIE’s vision is to enable real-time AI for off-the-shelf mobile devices.

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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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AI-First Benefits: 5 Real-World Outcomes

Cloudera

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI increasingly enables systems to operate autonomously, making self-corrections automatically as necessary. Benefits aplenty.

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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Introduction. Edge computing and more generally the rise of Industry 4.0 Solution Overview.

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Should you build or buy generative AI?

CIO

For generative AI, that’s complicated by the many options for refining and customising the services you can buy, and the work required to make a bought or built system into a useful, reliable, and responsible part of your organization’s workflow. Since the release of ChatGPT last November, interest in generative AI has skyrocketed.