‘Jaggu’ is a discovery analytics company that comprehends complex data in real-time. This technology offers brands and agencies tangible results from which to base creative decision-making. A ten-strong team of engineers, researchers, executives and creatives offer digital data solutions to creative problems to some of the biggest names in marketing.

Jagadeesh Gorla began his educational journey at a remote state school in Peddapur, India. 10 years, a few English lessons and a MS and PHD later and Jagadeesh now lives and works in London, heading up his very own AI start-up specialising in automation and discovery analytics.

“Yes, my story does deserve a book series” Jagadeesh jokes, “perhaps in the ‘Inspirational non-fiction’ section”.

Here are a few of his founding thoughts…

Jaggu, what are you trying to solve ?

In today’s digital world, we produce, comprehend and disseminate information around-the-clock at work, at home and on the move. You probably respond to emails, take a picture and comment on some social media all before you’ve even had your breakfast. A substantial part of the knowledge economy is about comprehending all this constantly evolving information so that creative-problem-solving and decision making is fully informed. In all honesty this process of extracting information and making subtle judgements is mundane, expensive and time consuming. Using machine learning in these early creative stages relieves so much of that unnecessary resource pressure and frees up the human workforce to concentrate on the much more exciting issue of development.

What does assistive technology look like in day-to-day working life?

Over the last two decades, machines have subtly entered into our lives as assistants, meeting little resistance along the way. Take the simple example of search engines- they assist us daily by providing an ordered list of the ‘most likely’ contents to satisfy our needs (based on their comprehension of what those needs actually are). Indeed, there are very few people in the world today that could imagine their lives without the assistance of their trusty ‘Google’ right-hand man.

At present, there are an estimated 300+ million, and growing,‘knowledge workers’ in the world- people whose jobs rely on the organisation and comprehension of data. These repetitive, mundane tasks can potentially be automated by machines instead. If you are using Outlook or Gmail at work, you may not realise it, but you are actually already being assisted by machines… so why stop there? ‘Knowledge Industry’ workers (E.g, Marketing insight) are currently underserved by intelligent software. This is due to the unique and multi-layered nature of the tasks they perform, which has hitherto been deemed too complex for machine learning.

What is the purpose of ‘Jaggu’?

“Software (machines) as the ultimate, ameniable colleague”

Every business has its own particular set of procedures and solutions they use to solve their customers problems. Automation of these procedures, through machines, would help to accelerate growth and free up time for further development. It would also enable operational efficiency, speed of innovation and a shift in focus to creative problem solving. An intelligent automation software would therefore act as a never tiring, ever-present assistant! Machines don’t need a human level of intelligence and/or emotion to help grow the business- in fact it is precisely their lack of it that makes them such valuable asset. By 2025, it is estimated that the Automation of Knowledge Work will have a $5–$7 trillion impact on the world economy.

I have been fortunate enough to be part of the recent revolution in machine learning. Here at ‘Jaggu’ we have first-hand experience in building complex intelligent systems currently being used by 200+ million customers across three different industries (Gaming, Media and Retail). Using our collective experience at Jaggu and our customers’ feedback, we are determined to build intelligent software to automate repetitive and mundane data work- so you don’t have to. May the journey continue…

Parting thoughts…

We are always on a lookout for ambitious researchers and engineers to experience our exciting journey. A taste of what it would be like working with us can be described by the slight modification of old British saying (learning the ropes) … You don’t learn the ropes, you build them!