5 Steps To Let Machine Learning RECOMMEND Business TransformationSeptember 15, 2018 | Abhishek Mishra
Machine Learning Supply Chain Technology Uncategorized
When technology does what a human brain does either at the same level or better, then it almost appears magical. E.g. Self Driving cars, Amazon Recommendation or Google search results. Now the same level of sophistication is expected in an enterprise such as yours and the technology is affordable to everyone and is here. The market is accelerating at a pace that we have not see in our 10 years of existence in the business and thanks to Cloud for this disruption. Are you ready for it?
At Pluto7, we get engaged with professional services related to some of the most complex topics on Cloud transformation, SaaS operations definition, Advanced analytics and more recently on Recommendation Engines using Machine learning. All of this is measured against one basic metric. “Did you make it easier, faster or better for our business”. At a large enterprise, in a recent innovation project using advanced analytics, we reduced the time frame from 3 weeks to 5 minutes for complex work activity. This appeared magical, but what we really did was followed some of the basic principles of understanding the depth of the business, data and the emerging technologies and driving innovation. Sounds obvious, but the key is the discipline. Below are the steps we recommend.
Here are some of the key steps we suggest to our customers.
Bottom line with business transformation is that it is a journey. Start the journey with the right set of skill sets, tools/platforms to support the skill to generate the business outcomes that take your company to the next level. There is no magic in data, but it is what you tell the machines and systems to do for you. The key is having the right method and approach to get the value out of all your investments. We have conducted over 50 workshops and always start with the bad news to give audience a reality check on any of the technologies and then show them the path to get to the good news. What we will see in 2017 will be nothing close to the level of change we have seen since 2000 ( year when we saw mass adoption of internet ) and this will be led by Cloud at a overall level and Machine Learning in specific cases.