Enterprises are increasingly adopting new digital technologies to help streamline and automate the design and manufacturing of physical products. Digital twins help organize and share much of this technical data. Digital threads connect changes to this data across a product or processes lifecycle.
However, some of the most crucial manufacturing data is managed as PDF documents and handwritten…
The open-source TensorFlow machine learning library is getting faster, thanks to a collaboration between Google and Intel.
The open-source oneAPI Deep Neural Network Library (oneDNN) developed by Intel is now on by default in TensorFlow, a project led by Google. OneDNN is an…
What is an embedding for AI?
June 1, 2022
When a question is presented to an artificial intelligence (AI) algorithm, it must be converted into a format that the algorithm can understand. This is often called “embedding a problem,” to use the verb form of the word. Scientists also use the word as a noun and talk…
Turning AI failure into AI success stories
May 31, 2022
It shouldn’t be much longer before the novelty of AI wears off and it becomes just another technology helping the enterprise become more efficient and more productive. But while the success rate for AI projects is improving and organizations are seeing real-world benefits to production environments, it is still proving far too difficult getting projects to the finish line.
In most cases, this is…
The most powerful supercomputers on the planet are used to perform all manner of complex operations. Increasingly, they are used to enable artificial intelligence for research that could one day impact billions of people.
The world’s fastest and most powerful…
AI reskilling: A solution to the worker crisis
May 30, 2022
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!
By 2025, the World Economic Forum estimates that 97 million new jobs may…
Many of today’s organizations base their business decisions largely on structured data such as credit card transactions and earnings reports. This type of data is often easy to search for and analyze, existing in predefined formats that help companies determine which benchmarks need to be met or exceeded in the future.
However, this information doesn’t tell them what makes their customers tick…
TigerGraph, maker of a graph analytics platform for data scientists, during its Graph & AI Summit event today introduced its TigerGraph ML (Machine Learning) Workbench, a new-gen toolkit that ostensibly will enable analysts to improve ML model accuracy significantly and…
From ‘Star Wars’ to streaming wars: How AIops is fueling the intergalactic streaming battle
May 28, 2022
May the 4th (be with you) has turned into a day to celebrate all things “Star Wars,” followed closely by Revenge of the 5th. This year, however, the entire month of May could be filled with “Star Wars” celebrations, including the 45th anniversary of the original…
As the Great Resignation, or Great Reshuffling, continues to make headlines, HR’s attention has been on job seekers, job hoppers and job offers. Finding and retaining talent has been at the forefront, but those are short-term priorities, and current approaches have failed to account for future needs of the post-pandemic workforce.
As a result, there has been an accelerated adoption of technology…
