Platform thinking has revolutionized over the past 5 years. Read what experts have to say about how enterprises can adapt to one

Introduced in 2017, platform thinking has since evolved into several types. Experts see it as the merging of product thinking into digital platforms. However, it was never the same as we see in 2023.

A successful analog chip design has finally made it possible to complete natural-language AI tasks with 14 times more energy efficiency. 

will take place in Olympia, London this year. The two-day event will involve top-level discussions and thought leaders sharing their ideas about the digital transformation ecosystem.

DevOps is a combination of two words: development and operations.

DevOps is a combination of two words: development and operations. The two come together to deliver software by effectively using IT operations. Generally, DevOps teams are hired to optimize workflows by utilizing massive amounts of data. However, with businesses edging toward scalability, flexibility, and speed to transform digitally, managing data loads has become complex. This is where DevOps teams can take advantage of artificial intelligence.

This article explores the role of AI and how DevOps teams can leverage it to ensure faster software deployment.

Excessive energy usage for AI research was a growing concern. IBM Researchers have developed a device that offers a sustainable AI future.

An analog computer chip can run an AI speech recognition model 14 times more efficiently than traditional chips. According to the researchers, this chip can reduce the challenges thus far faced in AI development.

Since most of the energy utilized by AI models was derived from fossil fuels, the development of analog chip will be groundbreaking. Another cumbersome issue that analog chip resolves is the constant bottlenecks due to the back and forth from memory to processors during operations. The analog computer-in-memory (CiM) chip performs calculations directly within its memory, as demonstrated by IBM.

IBM’s developed analog chip carries 35 million phase-change memory cells set to one of two states. These varied states can represent the synaptic weights between artificial neurons in a neural network. This AI type models how the linking between neurons in a human brain varies when absorbing new information or skill. This was stored as a digital value in computer memory in a traditional chip setting. However, the new CiM can hold and process these weights without performing millions of recall or data storage operations.

The researchers further tested the analog chip on speech recognition tasks, demonstrating an efficiency of 12.4 trillion operations/s/w. Compared to conventional processors, this is over 14 times more efficient.


The International Conference on Artificial Intelligence for Energy and Renewable Energy Systems (ICAIERES) will take place in Las Vegas, USA, this year. This conference aims to bring together scientists, researchers, aspiring students, academic personnel, and industrialists from all around the world.

Welcome to HashOne Global’s arena, where midlevel and large businesses grow and preserve their stance in their respective industries. As a fast-growing digital transformation agency, we pride ourselves on providing clients with comprehensive solutions braced with cutting-edge technologies.

People and Impact

Benefits of AI for DevOps Teams

The Role of Artificial Intelligence in DevOps

How Can DevOps Teams Leverage AI

By Collaborating Efficiently Via Natural Language Processing

By Optimizing Resources & Managing Costs

By Using AI-Driven Incident Management Tools

By Automating Testing & Quality Assurance

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