Abstract: Most projects of AI do not fail because of mathematics. It is the severe lack of communication gaps between the functional teams and data scientists that impacts the adoption. A part of our group’s research has been focused on building frameworks that help functional experts work in harmony with data science teams to deliver at high success rates. In this talk, we will be discussing 3 crucial aspects of building ML solutions that the functional teams must understand differently and contribute differently to what is the standard norm. We will take a lot of practical examples to drive home the point.
Bio: Dakshinamurthy V Kolluru is the Founder President & Chief Mentor of INSOFE (International School of Engineering), an organization that champions Education, Consulting, Research and Product Development in Data Science / Big Data Analytics.
His expertise lies in simplifying complex ideas and communicating them clearly and excitingly. He has worked extensively in Data Science with majority of his work pertaining to mathematical algorithms and pattern extraction. Currently, he set up ""AI for Business"" Lab at INSOFE whose vision is to help organizations adopt AI efficiently and systematically. He has helped set-up several Data Science COEs. Dakshinamurthy along with his highly skilled team steered INSOFE into being the globally acclaimed School of Applied Engineering it is today.
Dakshinamurthy has offered training and consulting services in US, UK, India & Middle East to fortune companies from Pharma, Insurance, retail, manufacturing and other sectors.
Before founding INSOFE, he worked with Defence Metallurgical Research Laboratories (DMRL) on some very prestigious projects, one of which was under the guidance of Dr. A P J Abdul Kalam which found much recognition and won him the Binani Gold Medal.