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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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Perficient Recognized in Forrester’s AI Services Landscape

Perficient

As we step into 2024, the transformative impact of Artificial Intelligence (AI) and generative AI on enterprise-level organizations has reshaped the business landscape in profound ways. Contact us  now to discover how our expertise can take your business to new heights.

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

TechCrunch

Artificial intelligence promises to help, and maybe even replace, humans to carry out everyday tasks and solve problems that humans have been unable to tackle, yet ironically, building that AI faces a major scaling problem. “This is where V7’s AI Data Engine shines. V7 even lays out how the two services compare.)

Training 240
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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. One such challenge is subscriber churn prediction, a critical aspect of a recent project at AgileEngine Data Studio.

Video 52
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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.

Trends 87
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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

“Control towers are the artificial intelligence (AI) of supply chain. 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.

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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.

Azure 52