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Edmunds sets stage for AI with data infrastructure consolidation

CIO

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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From particle physics to video streaming: predicting churn with AI

Agile Engine

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

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V7 snaps up $33M to automate training data for computer vision AI models

TechCrunch

Radical Ventures and Temasek are co-leading this round, w1ith Air Street Capital, Amadeus Capital Partners and Partech (three previous backers ) also participating, along with a number of individuals prominent in the world of machine learning and AI. “This is where V7’s AI Data Engine shines.

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7 data trends on our radar

O'Reilly Media - Ideas

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. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. Continuing investments in (emerging) data technologies. Burgeoning IoT technologies.

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Perficient Recognized in Forrester’s AI Services Landscape

Perficient

Built on our accelerated modeling process, CX AI focuses on developing an interactive model that demonstrates how your organization can leverage machine learning, natural language processing, and cognitive computing to jump start Al adoption. Contact us  now to discover how our expertise can take your business to new heights.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. Data siloes. Lack of skilled experts.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

Among the customers of AWS, you can find the following organizations: Automotive – BMW, Toyota. They focus much attention on advancing user experiences utilizing AI, robotics, machine learning, IoT, etc. . Machine learning. Development Operations Engineer $122 000. Senior Sofware Engineer $130 000.

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