Intel uses machine learning and predictive analytics to save time and boost its business value

Intel IT’s annual performance report reveals how the company is leading the way in digital transformation

Key Takeaways

  1. 1

    Intel IT has implemented a number of innovative IT strategies, adding $656 million to the company’s value

  2. 2

    The roll-out of a new type of easily updatable server has predicted annual savings of $1 million while an updated conferencing room system has already saved an estimated 50,000 hours of employee time

  3. 3

    Businesses need to keep up with the evolving digital landscape to avoid being disrupted by more tech-savvy rivals

As a pioneering tech business, Intel seeks to advise other companies on their digital transformation strategies. And, according to its latest annual performance report, following its own advice is clearly paying dividends as machine learning and predictive analytics help to transform the company and build its business value.

These kind of innovations have helped it to make better products faster, improve its supply chain and make marketing and sales efforts more effective, turning it into a hyper-agile digital business. 

“The degree of change going on in most IT organisations is unprecedented, and we need to get through our transformation quickly so we can provide more leadership in helping our business partners through their change”

The company’s digital transformation is showcased in its 2016-2017 IT Annual Performance Report (APR), which details the ways in which Intel is leading the way in digital transformation. Some 40 per cent of the top 20 businesses in every industry will be disrupted by digitally transformed competitors, according to PNC1, making innovative IT strategies critical to a company’s ability to compete in a constantly evolving business landscape.

Innovations in IT can dramatically affect the way that businesses perform, make decisions, and serve customers. “At Intel, IT not only contributes to the productivity and operational efficiency and effectiveness of the company, it also advances the corporate strategy,” says Intel CIO Paula Tolliver. “Our annual report demonstrates that Intel IT continues to raise the bar in driving innovation, like machine learning and predictive analytics that helps accelerate growth opportunities for Intel”.

Some 5,775 employees of Intel IT, part of the company’s global workforce have implemented a number of transformative changes that have resulted in major benefits for the firm. The company has increased its business value by an incredible $656 million by rolling out predictive analytics across its sales, supply chain and manufacturing operations across the globe. A market intelligence system was developed that uses machine learning to sift through vast amounts of compiled data and identify important trends within just a few hours. It would take humans months to process a similar amount of data.

The company has dramatically reduced the time it takes to roll out new products, thanks to a specially designed piece of software. Products can now be brought to market a whole 39 weeks earlier than before, thanks to a machine learning platform called CLIFF that uncovers potential bugs during the design phase.

Another innovation involves the introduction of 30,000 high-density disaggregated servers dedicated to product design. These new servers enable just the CPU and I/O modules to be replaced, rather than the entire unit. Intel anticipates a massive annual saving of $1 million as a direct result of this major server roll-out, slashing refresh costs by as much as 65 per cent.

What’s more, the company has saved an estimated 50,000 hours of employee time in 2016 by introducing the Intel Unite® solution. This enables workers to easily connect to conference room meetings, sharing and annotating presentations both in person and remotely. In 2016, there were 2,800 Intel Unite solution-enabled conference rooms, and with the number set to jump to 4,000 in 2017, potential time savings of up to 180,000 hours are predicted. 

Inspired by the success of the digital transformation strategies so far, Intel IT launched the Game-Changer Program to develop projects that can radically change traditional business processes. Among the projects that the initiative will be working on in 2017 and beyond is Intel® Remote Eye Sight (Intel® RES) – collaborative software for the connected worker. The software is designed to work on wearable devices such as smart glasses.

The scheme is also working on remote control command centres for clusters of tools in its factories. This can improve the efficiency of technicians by up to five times, as they are no longer tied to a single machine, leaving them to carry out other important tasks.

“The degree of change going on in most IT organisations is unprecedented, and we need to get through our transformation quickly so we can provide more leadership in helping our business partners through their change,” says Tolliver. Over the next year, Intel IT will focus its efforts on a number of areas including the development of a data-driven culture through enhanced data, advanced analytics, and artificial intelligence.

Digital Disruption Challenges Companies To Rethink Business Strategies:

*Other names and brands may be claimed as the property of others

For more information:

Finger pressing a button on a smart phone or tablet

Stay Connected

Stay connected to technologies, trends, and ideas that are shaping the future of the workplace with the Intel IT Center.

By submitting this form, you are confirming you are an adult 18 years or older and you agree to Intel contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Intel’s web sites and communications are subject to our Privacy Notice and Terms of Use.

Related Articles

Educational performance prediction tool reveals teachers and pupils who need to do their homework.

Learn more

Keeping an eye on the wear and tear with real-time analytics.

Learn more

Follow Intel’s five step strategy to hit the ground running with analytics deployments.

Learn more