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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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Mobius Labs nabs $6M to help more sectors tap into computer vision

TechCrunch

million (~$6.1M) funding round off the back of increased demand for its computer vision training platform. It caters to businesses of various sizes, from startups to SMEs, but says it mainly targets global enterprises with major content challenges — hence its historical focus on the media sector and video use cases.

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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. The global FPGA market size could reach $14 billion by 2028, according to one estimate, up from $6 billion in 2021. ” Rapid Silicon is developing two products at present: Raptor and Gemini. .

Marketing 215
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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation.

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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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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?”

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing.