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 gurbaksh chahal


Gurbaksh Chahal's RedLotus in talks to raise up to $50 mn from Chinese investor

#artificialintelligence

Serial entrepreneur, Gurbaksh Chahal, is no stranger to success. Having established multiple successful businesses in the past, he is now concentrating efforts on his latest company, RedLotus. Chahal had previously founded Click Agents, Blue Lithium, and Radium One, which all have had exits worth over $400 million. He has now set his sights on further growing RedLotus, which has built an advanced customer data platform, powered by patented AI technology. According to TechCircle, Chahal is set to raise up to $50 million for his current venture.


Gurbaksh Chahal's startup is changing the way marketing works for brands with the help of AI - Digpu News Network

#artificialintelligence

A few years ago, Artificial Intelligence seemed like a distant dream, but now it's an everyday reality. From chatbots to self-driving cars, AI is learning more about humans and simultaneously assisting them to make everyday life easier. AI is now increasingly being used in creating digital marketing strategies and has proven to be way more effective than traditional marketing methods. Jumping on to the bandwagon of AI operated marketing, Indian-American entrepreneur Gurbaksh Chahal founded RedLotus. Chahal is a serial entrepreneur and philanthropist who is using AI to completely revolutionize the way digital marketing works for brands.


Gurbaksh Chahal How to Prepare for a World with Artificial Intelligence

#artificialintelligence

Much of AI has been led by the'Big Data' movement and Graphics Processing Units (GPUs) that have transformed data processing to make it more efficient with a faster processing time. Machine Learning came about in the 1980s, and this can be viewed as an approach to AI. Its basic premise relies on using algorithms to analyze data, gather learning, and then make a prediction. Rather than hand coding or scripting to achieve a task, a machine is trained to learn how to perform it by feeding it with a large amount of data and algorithms. Machine Learning Algorithms employ decision tree learning, clustering, and Bayesian Networks, and more.