TepFu’s 12 Disruptions of Christmas 2016 – #3

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On the first day of Christmas we heralded a drone…buzz buzz buzz buzz…

On the second day of Christmas we talked reality…virtual, augmented and mixed

On the third day of Christmas we tightened up on Slack…teams and workplace…

On the fourth day of Christmas we zeroed in on health…big data to insurance…

On the fifth day of Christmas we tackled IoT…Space! The Final Frontier!…

On the sixth day of Christmas we got our bots on…chat, scheduling and commerce…

On the seventh day of Christmas we swoon over iPhoneX…dawn or a sunset…

On the eighth day of Christmas we quake at autonomous vehicles…private, freight and drone…

On the ninth day of Christmas we hail the end of money…utopia…

Today, on the tenth day of Christmas we take a hardcore turn into a tech-heavy world with #3 in our Disruptive Christmas countdown. It’s time to separate the 0s for the 1s and get our Binary on. In at #3 on the tenth day of Christmas…we herald machine learning…

Yesterday we spoke about the dawning of the cashless society and it’s not only money that’s being disrupted. The way machines interact with society and business and the way society and business learns as a result is about to hugely disrupted.

Business often values certain elements and sees others as costs. Intangibles generally fall into the costs column. Machine learning has one very obvious advantage: it takes raw data and analyses it free from bias or prejudice. Unlike humans of course which have biases built in, often subconsciously. By taking the core principles of machine learning and adapting it to real life situations companies can massively improve their work ethic and dynamic and make better decisions about where value comes from. By re-assessing what assets are and what are assets; by combining that with data; and by then applying science to the situation, the efficacy of decision-making increases.

Indeed it appears that intangibles make up the bulk of corporate value today, despite the poor job we do at actually tracking and investing in intangible assets like skills, ideas, and networks.

So, how does this impact on the way people behave post-machine learning? Currently, we all often speak of how it seems possible for some people to hide in large organisations despite being intangible costs not generating value. We have all at one time or another surely lamented ‘dead wood’ and wished for more of an evidence-led and meritocratic environment. Machine learning brings this closer.

55 percent of organizations still report being weak at using HR data to predict workforce performance and improvement.

Increasing the communication conduit between people and management makes us all better managers. And if it’s evidence-led this also increases confidence in the organisational ability to make better decisions.

Better organisations making better decisions run by better staff more enabled to perform well. Sounds good to us. What’s not to like?

How would advanced machine learning progress or threaten your business? How would it increase the speed and accuracy of the learning and decision-making your people undertake? How could your business leverage learning amongst your client base?

If you would like to discuss any of the above or how machine learning might impact on your business and your customers and how your business can leverage machine learning, or if you have any brand, marketing, social media, content marketing, email marketing etc related questions in general, feel free to drop us a line at info@tepfu.com

Picture courtesy of WIKIPEDIA

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