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

TechCrunch

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. In a recent survey of “data executives” at U.S.-based

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

In early 2020, the company’s infrastructure was an amalgam of “everything,” Fazal says, including mainframe, client/server, and SaaS systems, as well as 140 applications of all “flavors,” some customized, some off the shelf, some from big companies and some from small companies, he says. Data engine on wheels’.

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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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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi. Che cosa posso fare con l’IA?

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AI & Business Analytics: A Smart Guide

Sunflower Lab

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

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Hivery bags new money to automatically optimize product placement on store shelves

TechCrunch

chances are you’re selecting products off shelves that have made it there using Hivery’s core product,” he told TechCrunch. chances are you’re selecting products off shelves that have made it there using Hivery’s core product,” he told TechCrunch. We call it ‘hyper-local retailing.'”

Retail 197
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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).