Self-learning and Automation of workflow are not new terms in the professional world. In fact, they are the two most basic advice given to humans by their fellow mates. Learning from our past experiences and the experiences of others and getting the work done in a way that reduces the effort while not compromising with the efficiency have been the key contributors of all major breakthroughs in any field. Nowadays self-learning and automation are not limited to humans only. Computers these days are being made capable to learn from the enormous amount of user data available these days.

In 2016 84% of UK employees regularly worked beyond their contracted hours. Maybe that works for you if you have superhuman energy levels, but for most people it can be pretty gruelling. Working in consulting where the average number of working hours per week is 56.6, I would more often than not come home completely destroyed and want to collapse into bed. While some of that is part of the job, wouldn't it be awesome if we could use technology to reduce the workload and give us more time?

New Delhi: Parallel Dots, a three-year old start-up developing artificial intelligence-based solutions for different industry verticals, has raised $1.4 million from US-based Multipoint Capital, the company said on Tuesday. Multipoint Capital had earlier invested $600,000 in the company last year. Parallel Dots was launched in January 2014 and was incubated at TLabs, the start-up incubator managed by Times Internet. Parallel Dots, which has offices in Gurugram and Delaware, US, is an applied AI research firm that licenses its technology to enterprise clients. In an interview, co-founder Angam Parashar said the solutions are used by companies in financial technology, insurance, healthcare, and market research.