Operations profitability and agility, through data and AI

Ratheesh Raveendran


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Data – Polysemous or Not?

Apr 24, 2020 12:02:03 PM / by Ratheesh Raveendran posted in OpsVeda Operational Intelligence, Machine Learning, real-time storyboards, Juni, Real time operations, Business Agility, Supply Chain Visibility, Supply Chain, Deep Learning, OV-Assistant, AI Assistant, Prescriptive Analytics

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Fashion’s Kipchoge or Tenderfoot? It will be a faster run either way!

Nov 13, 2019 10:00:33 PM / by Ratheesh Raveendran posted in Fashion, Operational Intelligence, Real-time Visibility, Real Time Analytics, channel management, Apparel and Footwear, Business Agility, Supply Chain Visibility, Artificial Intelligence, Innovation, Supply Chain, AI Assistant

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Operational Intelligence

October 12th, 2019 was a red letter day for every athletics fan. That day, for the first time in history a human completed the marathon in under two hours! Eliud Kipchoge the current world record holder did the unbelievable and shaved off a good 2 minutes from his best time. It wasn’t just a triumph of human doughtiness and perseverance. The run was also emblematic of technology and analytics aiding humans in pushing the envelope. Specially made shoes and pacing lasers ensured energy efficiency. The chosen route and formation of pacemakers minimized wind resistance. The location was picked because of its closeness to Kipchoge’s time zone… a number of sagacious data driven decisions contributed to the feat.

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A New Season in Fashion augurs a New Era for Visibility

Oct 30, 2019 11:51:42 AM / by Ratheesh Raveendran posted in Fashion, User Experience, Operational Intelligence, the last mile, supply chain visibility, Juni, tier 2 partner, Apparel and Footwear, Business Agility, Artificial Intelligence, Innovation, OpsVeda Exceptions, Prescriptive Analytics, Retail

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Happy-woman-holding-shopping-bags-in-a-shopping-mall-466708570_5616x3744

 

As the year entered its final quarter, I was revisiting some predictions pundits had made for 2019. It’s an interesting exercise I go through every year. Estimating soothsayer accuracy is not the objective. Some predictions will be right, a few wrong and in majority of the cases it will be difficult to say – either the data isn’t there or it’s too early for any decipherable trend. Regardless of their chances of coming true, the ideas are inspiring and make a good segue to predictions for the coming year.

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Enterprise Processes: Let Machine Learning follow the Rules

Jun 18, 2019 1:46:38 AM / by Ratheesh Raveendran posted in Business Execution, Predictive analytics, User Experience, Operational Intelligence, Real Time Analytics, Engineering, Real time operations, Business Agility, Supply Chain Visibility, Artificial Intelligence, Innovation, Business Analytics, Deep Learning, AI Assistant, Prescriptive Analytics

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It was the penultimate day of my trip to our San Jose office. In the evening Vikas, Dinesh & I went for a short hike at the Alviso Marina County Park. It was a beautiful trail and the hike was uneventful except for Vikas’ narration of his past exploits with a mountain lion. After the hike Dinesh said that we should grab a quick drink and I suggested a nearby Mexican joint. “The place serves amazing guacamole. You should have that with tortilla,” I tried to tempt Vikas’ mostly vegetarian palate.

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Is your hunch the next Fosbury flop?

Apr 25, 2019 1:36:53 AM / by Ratheesh Raveendran posted in Business Execution, Predictive analytics, Operational Intelligence, Real Time Analytics, supply chain visibility, Real time operations, Business Agility, Supply Chain Visibility, Artificial Intelligence, Innovation, Business Analytics, Deep Learning, OV-Assistant, AI Assistant

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Fosbury Flop - OpsVeda

L: Dick Fosbury doing the “Fosbury Flop” to win the high jump gold medal at the 1968 Mexico City Olympics (Source: International Olympic Committee)
R: Illustration showing path of center of gravity in the Fosbury Flop (Source: Wikimedia Commons, Author: AlanSiegrist)

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An Operations Leader’s Awakening

Jan 27, 2019 11:01:07 PM / by Ratheesh Raveendran posted in Business Execution, Predictive analytics, Operational Intelligence, Real time operations, Business Agility, Supply Chain Visibility, Artificial Intelligence, Customer Success, Innovation, Deep Learning, AI Assistant, OpsVeda Exceptions

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A Poetic take on the needs of Operations and Supply Chain Leaders, and how process automation with OpsVeda changes the game!

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The Problem with Intuition!

Jun 11, 2018 8:28:07 PM / by Ratheesh Raveendran posted in Enterprise Software, Business Execution, Operational Intelligence, Business Development, Real Time Analytics, real-time storyboards, Real time operations, Business Agility, Supply Chain Visibility, Artificial Intelligence, Deep Learning, AI Assistant

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Intuition

 

It was a winter morning over two decades ago. My class mates and I had braved the cold to turn up at the IIT Kanpur airfield to carry out experiments required to complete our course. The excitement was palpable because most of us were going to fly for the first time.

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None who wander should be lost… Never in the data lake

Mar 19, 2018 10:29:01 AM / by Ratheesh Raveendran posted in Enterprise Software, User Experience, Operational Intelligence, Real Time Analytics, supply chain visibility, Juni, Business Agility, Supply Chain Visibility, Artificial Intelligence, Deep Learning, AI Assistant

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Recently archeologists found evidence suggesting that our seafaring history goes back at least 130,000 years. How our ancestors of that period navigated the vast oceans is not yet known. Till GPS, accurate clocks and reliable weather forecasts became common place, exploration was difficult and risky.

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Natural Language Interactions: A Leap in Democratizing Analytics

Dec 28, 2017 5:27:00 PM / by Ratheesh Raveendran posted in Enterprise Software, Predictive analytics, User Experience, Operational Intelligence, Machine Learning, Supply Chain Visibility, Artificial Intelligence, Deep Learning, OV-Assistant, AI Assistant, Prescriptive Analytics

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Look up an implementation plan for enterprise software, and “Custom Reports” will show up as a task with significant effort. However, talk to anybody who has gone through these implementations and they will tell you that almost 80% of the custom reports created are hardly used. In fact, most users will not even be aware of the existence of many of these reports.

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When Opportunity Knocks, Do You Hear?

Oct 16, 2017 5:35:41 PM / by Ratheesh Raveendran posted in Business Execution, User Experience, Operational Intelligence, Real Time Analytics, real-time storyboards, Real time operations, Business Agility, Supply Chain Visibility, Innovation, Deep Learning

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Any-Given-Sunday-Al-Pacino

 

"... You find out that life is just a game of inches. So is football. Because, in either game - life or football - the margin for error is so small. ...The inches we need are everywhere around us. They are in every break of the game every minute, every second. On this team, we fight for that inch.  …cause we know when we add up all those inches that's going to make the **** difference between WINNING and LOSING, between LIVING and DYING. … "   -  Al Pacino in Any Given Sunday

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