What others are saying...


"Indeed, corporations just may have reached another inflection point. In the past, a lot of S&P 500 CEOs wished they had started thinking sooner than they did about their Internet strategy. I think five years from now there will be a number of S&P 500 CEOs that will wish they’d started thinking earlier about their AI strategy."

Andrew Ng / Chief Scientist / Baidu Research / September 2016


Not only should you be asking how Machine Learning can help your business, but how and when your competitors will weaponize and deploy Machine Learning.

"I would say, a lot of the value that we're getting from machine learning is actually happening kind of beneath the surface. It is things like improved search results, improved product recommendations for customers, improved forecasting for inventory management, and literally hundreds of other things beneath the surface"

Jeff Bezos / Amazon / May 2017

Machine Learning can be effectively and economically applied for
businesses of many size and types.

"Machine learning is a core, transformative way by which we’re rethinking how we’re doing everything. We are thoughtfully applying it across all our products, be it Search, Ads, YouTube, or Play. And we’re in early days, but you will see us — in a systematic way — apply machine learning in all these areas."

Sundar Pichai / Google / June 2016

The competitive advantage and benefits of Machine Learning is now also available to your organization.  It has never been more accessible and applicable.


"Just as electricity transformed many industries roughly 100 years ago, AI (artificial intelligence) will also now change nearly every major industry  —  healthcare, transportation, entertainment, manufacturing  —  enriching the lives of countless people. I am more excited than ever about where AI can take us."

Andrew Ng / Chief Scientist / Baidu Research / Mar 2017


Wherever there are data and labour intensive operations, and transactional or archival information, Machine Learning can be applied. 

”Machine learning is beginning to shake up finance. A subset of artificial intelligence that excels at finding patterns and making predictions, it used to be the preserve of technology firms. The financial industry has jumped on the bandwagon."

The Economist / May 2017

Machine Learning excels in augmenting and eliminating labour intensive / data dependent, transactional / analytic activities


"Machine learning has tremendous potential to transform companies, but in practice it’s mostly far more mundane than robot drivers and chefs. Think of it simply as a branch of statistics, designed for a world of big data. Executives who want to get the most out of their companies’ data should understand what it is, what it can do, and what to watch out for when using it."

Harvard Business Review / July 2015


Machine Learning allows you to change from storing and labouring to analyze your data to having your data proactively advise your business

"Start small — look for low-hanging fruit and trumpet any early success. This will help recruit grassroots support and reinforce the changes in individual behavior and the employee buy-in that ultimately determine whether an organization can apply machine learning effectively. Finally, evaluate the results in the light of clearly identified criteria for success."

McKinsey & Company / June 2015

If your operations have data driven or data intensive processes, you could be well positioned to apply Machine Learning for your business.


"A new commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era."

The Economist / May 2017


Your historical and transactional data is no longer merely a by-product of your business processes. With Machine Learning, your data can become a valuable business asset proactively delivering value.

Want to get started with Machine Learning for your business?


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