Training models on Intel Gaudi accelerators is helping improve efficiency in Intel’s factories.

Intel’s smart manufacturing environment relies on AI to improve yield, perform root-cause analysis, and accelerate anomaly detection. As Intel transforms to an internal foundry model, it is [See the full post…]

Analyst Jean S. Bozman, president of Cloud Architect Advisors, explains how evolving traditional IT to hybrid cloud and enterprise AI forces IT teams them to manage complexity, acquire new skills and manage a myriad of costs.

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In this Tech Barometer podcast, Northeastern University professor Dr. Norman Jacknis explains why IT leaders must concentrate on delivering business value while understanding essential and emerging innovations such as artificial intelligence and machine learning.

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In this Tech Barometer podcast, Dr. Norman Jacknis explains how CIOs can adapt to rapid change driven by AI and the value it can bring to organizations.

Find more enterprise cloud news, features stories and profiles at The Forecast. [See the full post…]

In this video interview, NAND Research Chief Analyst Steve McDowell explains how IT decision makers assess strategies and infrastructure needed to run artificial intelligence capabilities.

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Transcript:

Steve [See the full post…]

In this Tech Barometer podcast segment, McDowell shares insights from his report Taming the AI-enabled Edge with HCI-based Cloud Architectures and explores the impact of extending IT resources to the edge and the driving force of AI.

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Learn how Intel’s manufacturing engineers are using natural language processing (NLP) to streamline failure mode and effects analysis (FMEA).

Intel Manufacturing Automation has developed an innovative methodology for performing FMEA in manufacturing by using artificial intelligence (AI) techniques to analyze [See the full post…]

In this Tech Barometer podcast, Red Hat’s Bev Gunn and Richard Harmon take listeners into the collaborative world of open source software and explain why it can lead to responsible AI.

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Intel is evolving quickly, and Intel IT is a key driver in that evolution. As the architects of Intel’s IT landscape, we are the strategic, trusted technology partner for Intel’s business. Our focus is on innovation, AI, and optimization as [See the full post…]

In this Tech Barometer podcast segment, Greg Diamos tells how an early passion for computing led him to a pioneering role Baidu’s Silicon Valley AI lab, where he discovered ways to scale deep learning systems, and went on to co-found [See the full post…]

Intel IT is using computer vision and AI for inline inspection in Intel’s assembly and test factories.

Keeping Intel’s global network of factories running at top efficiency is one of Intel IT’s primary roles. Over the last decade, we have [See the full post…]

Alex Karargyris is helping a nonprofit called ML Commons develop open-source technologies that bring global standards to medical AI/ML initiatives.

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Transcript:
Alex Karargyris:
Healthcare technology, what [See the full post…]

In this video interview, Harmail Chatha, senior director of cloud computing operations at Nutanix talks about sustainability factors and automation capabilities of AI shaping IT strategies.

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Related [See the full post…]

Transformer models are the powerful neural networks that have become the standard for delivering advanced performance behind these innovations. But there is a challenge: Training these deep learning models at scale and doing inference on them requires a large amount [See the full post…]

Quantum computing technology is becoming more viable, which means programming models are going to have to be created to harness this potentially world changing technology. To many developers, understanding the possibilities of quantum computing and moving from a binary world [See the full post…]

On today’s episode of Conversations in the Cloud Alex Liu, Chief Technology Officer of BasicAI stops by to talk about the company’s efforts at evolving the training data platform. Xtreme1 is the world’s first open-source platform for multisensory training data [See the full post…]

Dr. Yichuan Zhang, CEO of Boltzbit, joins host Jake Smith to discuss what is generative AI, why it matters to developers, and how the Boltzbit Generative AutoML platform helps tackle enterprise AI challenges. Dr. Yichuan started by sharing his journey [See the full post…]

Davit Buniatyan, Activeloop CEO, joins host Jake Smith on the latest episode of Conversations in the Cloud to discuss optimizing data lakes for creating deep learning-based products. Deep Lake allows storing complex data in AI-native format and streaming it over [See the full post…]

Joining Jake on the podcast today is Kasia Borowska, Co-Founder and Managing Director at Brainpool AI. The duo discuss the most popular applications of AI in business, how they benefit, and the best ways to start implementing solutions.

Brainpool AI [See the full post…]

AI is the new hot thing in business. Everyone wants to talk about how they are harnessing AI to make their business better. However this is not a trivial process, and maybe companies are left wondering what went wrong. Aible [See the full post…]

Karl-Heinz Hoffmann, VP of Technology Ecosystem at SingleStore, joins host Jake Smith in a conversation about how SingleStore’s database technology (SingleStoreDB) unifies transactions and analytics to power real-time business decision-making. Karl-Heinz talks about modern business applications where companies take advantage [See the full post…]

Today, Codeplay Software announces expanding oneAPI for Nvidia and AMD GPUs, making multiarchitecture, multivendor programming much easier. This includes new plugins: oneAPI for Nvidia GPUs and oneAPI for AMD GPUs (beta).

Software developers are increasingly looking to move away from [See the full post…]

ChatGPT, DALL-E, Stable Diffusion and other generative AI have rapidly captivated the public. They provide new, easy ways, to create new content based on AI models that have been trained on large, public data sets. How does this technology work? [See the full post…]

When people switch from one task to another unrelated task, it can have jarring, disruptive effects, resulting in wasted time, mistakes and stress. “You can’t just throw a bunch of varied tasks and environments at everybody and expect productivity to [See the full post…]

Yonatan Geifman, Co-Founder & CEO at Deci, joins host Jake Smith to talk about how Deci’s AutoNAC (Automated Neural Architecture Construction) engine enables developers to redesign their deep learning models to significantly improve latency performance while preserving the model’s accuracy. [See the full post…]