ABB has signed up to a pilot study with ST Telemedia Global Data Centres (STT GDC) to explore how artificial intelligence (AI), machine learning (ML) and advanced analytics can optimize energy use and reduce a facility’s carbon footprint.

Singapore-headquartered STT GDC, which is one of the fastest growing global data center operators, is leveraging the digital transformation expertise of technology leader ABB as it bids to become net carbon-neutral by 2030.

ABB is conducting the pilot in two phases, beginning with initial data exploration, modelling and validation, studying historical data to establish how digital solutions would impact existing operations and energy use. Once proven, it will be followed by AI control logic testing in a live data center environment. STT GDC aims to achieve at least 10 percent in energy savings from its cooling systems, which is the largest consumption of electrical power in a data center after IT equipment.

“Our group’s AI roadmap will take a big leap forward with this pilot program. The vast amounts of data that can be captured and harnessed in a live data center environment makes for a strong base for AI applications, which can also be applied to other business processes including capacity planning, risk mitigation and predictive maintenance,” said Daniel Pointon, group chief technology officer, ST Telemedia Global Data Centres. “This, and other initiatives around alternative energy sources, water efficiency, construction technology and innovative cooling solutions, are being carried out by our research and development team based in Singapore.”

The ABB team is currently developing AI-based optimization models for the entire data center cooling plant, including the upstream chiller and distribution systems. The AI project is also unlocking new opportunities for efficiency improvement at a granular level within the data center. STT GDC will be able to use AI-generated insights, leveraging cutting-edge ABB Ability™ Genix for industrial analytics and AI, to track and analyze data generated by monitoring systems in the data center, and better facilitate dynamic cooling optimization.

“We look forward to supporting the STT GDC team in their efforts to drive digitalization and energy efficiencies,” said Madhav Kalia, global head of Data Center Automation at ABB. “At ABB, we have a strong track record of supporting data center operators with our best-in-class technology solutions. We are committed to exploring the synergies between our offerings with STT GDC as it embarks on an ambitious plan.”

STT GDC is one of the fastest-growing data center providers, with a global platform of data centers in the world’s major business markets. It has more than 130 facilities across Singapore, UK, India, China, Thailand, South Korea and Indonesia.

ABB

ABB (ABBN: SIX Swiss Ex) is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 105,000 talented employees in over 100 countries.

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The global Machine Intelligence market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2025, growing at a CAGR of xx% between 2018 and 2025.

Machine Intelligence Market studies are demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.

Machine Intelligence Industry Segment by Manufacturers – Bsh Hausgeräte, Fanuc, Hanson Robotics, Harman International Industries, IBM, Intel, Cisco Systems, ABB, Fanuc

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The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Machine Intelligence.

Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2025, with a CAGR of xx%.

This report studies the Machine Intelligence market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Machine Intelligence market by product type and applications/end industries.

Market Segment by Type covers:
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Market Segment by Applications can be divided into:
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The AI startup Covariant and the industrial robotics company ABB will be partnering to engineer sophisticated robots that can pick up and manipulate a wide variety of objects. These robots will be used in warehouses and other industrial settings.

As Fortune reported, the industrial robotics company ABB is primarily involved in the creation of robotics for car manufacturers, but the company wants to branch out to other sectors. ABB is aiming to become involved in logistics, where its robots will be used in large warehouses, such as those run by Amazon, to manipulate items, package goods, and make shipments.

According to ABB president Sami Atiya, according to Fortune, ABB sought partners that were experienced in the creation of sophisticated computer vision applications. While the company currently uses computer vision algorithms to operate some of its robots, ABB aimed to push the envelope and create reliable, high-dexterity robots capable of maneuvering and manipulating thousands of different objects.

The company examined many different companies before settling on Covariant as its partner. Covariant is a robotics research company whose researchers come from places like OpenAI and the University of California Berekely. Covariant managed to produce the only software examined by ABB that could reliably recognize many different items without the intervention of human operators.

The computer vision and robotics applications developed by Covariant were trained with reinforcement learning. Thanks to deep neural networks and reinforcement learning, Covariant was able to create software that learns through experience and is able to reliably and consistently recognize objects once a pattern has been learned. The CEO of Covariant, Peter Chen, was interviewed by Fortune. Chen explained that as more robotics companies like ABB branch out into new industries and markets, the goal becomes the creation of robots capable of a wider variety of tasks than those currently used in many manufacturing and logistics operations. Most of the robots employed in industrial capacities are only capable of doing a handful of very specific things. Chen explained that the goal is to create robots capable of adaptation.

As a result of the partnership with Covariant, ABB will get insight into the technology that drives Covariant’s AI, and this knowledge could help them better integrate AI into the tech that powers their existing robots. Currently, Covariant is a fairly small operation with only a handful of robots in full-time operational status, spread out across industries like the electronics industry, the pharmaceutical industry, and the apparel industry. However, its collaboration with ABB could cause it to see substantial growth.

The partnership between Covariant and ABB highlights the increasing role of AI startups in the robotics field. Other examples of AI startups collaborating with robotics companies includes the Japanese corporation IHI establishing a partnership with the AI startup Osaro. The joint collaboration also concerned the use of robots to grasp and manipulate objects.

While there is currently a lot of focus on robots automating away human jobs, in some industries there simply aren’t enough humans to do those jobs, to begin with. A recent report about the logistics sector estimates that over half of all logistics companies will face staff shortages over the course of the next five years. There will be a particular shortage of warehouse workers over the next half-decade. The report suggests that causes of the labor shortage within the logistics industry are falling unemployment rates, long hours, tedious work, and low wages.

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