I was fortunate to get to travel a fair amount when I worked for IBM Software Group and on one of my favorite trips I spoke to a large audience of local technology professionals in Mumbai, India. (Also got to visit the Taj, but that’s another story.)
In the audience was the person that I interviewed for this week’s episode of 10MinuteStrategy, Ankur Dinesh. Since we met approximately 15 years ago, Ankur and I have stayed in touch and spoken occasionally. He’s had success in different parts of the tech industry, most recently with an AI startup of his own and currently as an AI-oriented consultant to large and small companies.
Ankur has frequently been on the front line of solution development for well-funded clients. He always seems to have his finger on the pulse of what’s happening in the world of technology – and importantly, what makes one solution better than another. In today’s discussion on artificial intelligence you’ll learn a lot from Ankur as he discusses:
- what’s needed in the area of corporate artificial intelligence
- what is of a wise path for companies to follow, as they begin, embracing what’s available within the world of artificial intelligence
While Ankur agrees with the general philosophy that most companies should consider using ChatGPT to get a project started, he believes strongly that companies will get more benefit from initiatives that are built against existing corporate data.
Because most large organizations have protections against exporting internal data to ChatGPT and other publicly available platforms, Ankur believes that organizations who can identify a platform that they can bring in the house and use it against in-house data they will find that that investment is likely to result in learnings that are more impactful in the long run.
In order to improve the opportunity for success of any corporate AI project or pilot, Ankur strongly recommends focus on two key elements. The first is a specific set of Key Performance Indicators (KPI) to help in the evaluation of results. The second is probably more important. Ankur believes that any internal corporate AI project must include the sponsorship of a non-technical line of business leader. This leader can guide the focus of the project, identify success criteria to endorse the project. Without input from the business, the developer community may spend a lot of time working on an AI project that does not have any particular business value, and therefore cannot be evaluated in terms of business value when the results are available.
The KnockMedia team believes that UX for AI projects is also an important consideration. If you’d like to talk about Corporate AI and the UX needed for success, please fill in the form below.