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Should you build or buy generative AI?

CIO

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. It’s already showing up in the top 20 shadow IT SaaS apps tracked by Productiv for business users and developers alike.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. ” The market for synthetic data is bigger than you think.

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

CIO

Hardly a day goes by without some new business-busting development on generative AI surfacing in the media. And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds.

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Traffic Prediction: How Machine Learning Helps Forecast Congestions and Plan Optimal Routes

Altexsoft

In this post, we explore what’s going on behind the scenes of traffic prediction, which data is used, which technologies and algorithms are implemented, and how to get that desired forecast to your screen. In 2021, NYC drivers lost an average of 102 hours in congestion – and before the pandemic that score was even worse. street lights).

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Supporting Diverse ML Systems at Netflix

Netflix Tech

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90
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7 data trends on our radar

O'Reilly Media - Ideas

Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. 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.

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