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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” When it comes to recruiting for ML, hire experts when you can, but also look into how training can help you meet your talent needs. ML recruiting strategy.

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Escorts Kubota enlists AI to reinvent railway, construction, and agriculture

CIO

CIO Anil Kakkar is heading up an ambitious transformation agenda at Escorts Kubota, in which the Indian multinational conglomerate seeks to reinvent its three traditional business lines: agricultural products and implements, construction equipment, and railway equipment and parts.

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Construction tech startups are poised to shake up a $1.3-trillion-dollar industry

TechCrunch

In the wake of COVID-19 this spring, construction sites across the nation emptied out alongside neighboring restaurants, retail stores, offices and other commercial establishments. Amidst the chaos, construction firms faced an existential question: How will they survive? Construction is a massive, $1.3

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a16z leads $6.5M seed round for Adaptive, a construction software and fintech play

TechCrunch

In the construction business, time is money. But with so many moving parts, it can be extremely challenging for construction companies to manage the administrative aspects of their finances. Adaptive , an 11-month-old startup that has set out to give construction teams better tools to manage their back offices, has raised $6.5

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Freshly (un)retired, Gary McGraw takes on machine-learning security (Q&A)

The Parallax

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. How Facebook fights fake news with machine learning and human insights.

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Scaling Media Machine Learning at Netflix

Netflix Tech

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Training Performance Media model training poses multiple system challenges in storage, network, and GPUs. Why should members care about any particular show that we recommend?

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. Unlike fine-tuning, in RAG, the model doesnt undergo any training and the model weights arent updated to learn the domain knowledge.