AI Cannot Be Expected To Produce Impactful Insights Without It Being Set Up To Suit The Needs Of A Business

With AI, businesses are able to identify and unearth hidden revenue streams, run highly personalised campaigns on a large scale and garner more meaningful insights, as compared to traditional resource-driven analytics and model development. Sudeshna Datta, co-founder and executive VP, Absolutdata, talks to Deepshikha Shukla, technology journalist, Electronics For You, about how AI can eliminate the need for manual intervention, while enhancing productivity and giving businesses access to massive data sets in real-time.

EB: How does an AI platform deliver scalable business improvements across the enterprise?

Given the rapid pace at which AI is penetrating industries across the world, those who haven’t implemented it risk being left far behind. Therefore, enterprises are now looking to hop on to the fast track to make themselves not just AI-ready, but AI-driven, in order to achieve massive business transformation and scalability. Not only is AI flexible in its implementation with existing systems, but it enables companies to see results across the enterprise at an instant. However, simply adding AI to the mix isn’t going to result in a competitive edge. Instead, companies need to focus on implementing AI with the three key elements -- an analytical framework, context and technology (or ACT).

AI cannot be expected to produce impactful insights without it being set up to suit the needs of a business. It takes an efficient analytical framework to guide the process of building an AI solution that is tailor-made to suit a particular business and this should be programmed to solve specific problems. Though AI is self-learning, it needs context to be able to carry out its functions. It acts on the inputs that are provided by human teams or other connected systems. That is why equipping AI with business context is important for businesses to achieve their broader objectives.

Further, what brings together several elements for the successful deployment of AI is the right technology. Businesses should always try and choose AI tools that cover end-to-end processes, as opposed to those that are made for just a specific function.