Podcast #33 - How to articulate the value of Data & AI?
The following is a conversation with Mr Manish Godkhindi, Global Managing Director and head of ERM Analytics Lab on different aspects regarding articulating the value of AI Solutions from prototype to production and the pricing strategy of these products.
Spotify link: https://open.spotify.com/episode/0RHo...
Manish Godkhindi
Can’t measure it? Can’t manage it!
Estimates, approximations, and averages are not much helpful in decision-making. In this decade of action (UNSDG | Decade of Action), the focus has shifted from just sustainability reporting to sustainability performance. Granular, High Fidelity, and Trusted Data are key to operationalising sustainability.
Unstructured data has grown exponentially over the last two decades. In comparison, structured data has grown at a much smaller pace. A significant amount of reliable data resides in unstructured datasets (text, reports, images, video, audio and geospatial formats) which are not yet properly leveraged in decision making
Manish specializes in tapping this gap between structured and unstructured data with the help of AI, Data Analytics, IoT and the latest digital technologies to help businesses operationalize sustainability.
Chapters
00:00 In this episode...
01:15 Introduction
02:01 Articulating the value of an AI solution from prototype to production
06:05 Common client assumptions
08:21 Client discussions
11:25 Following the AI trend
13:14 Perfect pitch
16:54 Proof of Concept and tech upgrade
19:15 Pricing of AI solution
21:57 Comparison with the traditional software solution
23:32 ERM Analytics Lab
26:47 Top technologies which Clients are betting
29:19 Importance of Domain knowledge base in AI solution
32:11 Closing Note