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FPGA startup Rapid Silicon lands $15M to bring its first chip to market

TechCrunch

Field-programmable gate arrays (FPGA) , or integrated circuits sold off-the-shelf, are a hot topic in tech. “Customers are looking for innovative ways to program FPGAs, reduce support load by leveraging the open source ecosystem of active expertise and development engineers, and shorten time to market,” Sherwani added.

Marketing 215
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Generative AI is a make-or-break moment for CIOs

CIO

Examples include GitHub Copilot, an off-the-shelf solution to generate code, or Adobe Firefly, which assists designers with image generation and editing. Hardly a day goes by without some new business-busting development on generative AI surfacing in the media. There are two common approaches for Shapers.

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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. This changes the game for marketers.

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10 things keeping IT leaders up at night

CIO

That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. The Society for Information Management (SIM) recently conducted its annual trends study and found that nearly a quarter of the IT leaders polled listed AI and machine learning as an area of concern, says SIM CEO Mark Taylor.

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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.

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7 data trends on our radar

O'Reilly Media - Ideas

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Increasing focus on building data culture, organization, and training. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning.

Trends 85
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Schedule Optimization: Technological Approaches and Use Cases

Altexsoft

So, numerous techniques, including mathematical optimization, constraint programming, and machine learning (ML), are used to address this issue. Doing it manually is time-consuming and way too uneffective. What is schedule optimization? Depending on the industry and management domain, scheduling may refer to.