AI Strategy

I have 20+ years of experience (Coder - Empirical Learner - Teacher). I currently working on use cases in Video-Image-Text-Data / Database / BI space. I dabble with "Data". Generalist with a Passion for Product, Data, and Technology.

Making AI Work = ML /  DL / GenAI Tech skills + Domain skills + Product + Competitor Landscape + Strategy + Responsible AI Adoption (I have a fraction of all of it to get things in production :)) = Solution Architect + AI PM + DEV :)

ML is more of a collaborative effort. Business needs - You spot it, and you can demonstrate competency to get a buy-in to implement. Alignment is critical to understand the short-term/long-term impact. You may not be immediately right but eventually, you may be right

My past clients - Unilever, Tesco, Belcorp, Anglo American, Woolworths, The container stone, The Children's place

Ex-Microsoft (Reverse Logistics Supply chain management), Amazon Ecommerce, Sensormatic RFID, EAS Store management solutions.

AI Offerings 

Spotting what others miss needs all three views - domain, data, and ML opportunities.

We need to encourage building a 360-degree perspective. 

Working in multiple functions helps appreciate the views / and build more collaboration.

Different Lenses of AI in Product Lifecycle

Ping me or send a request to connect if what I do appeals to you and you want to talk about it (Data Science / Databases / Architecture / Retail Innovation / Consulting Projects/ Deep Learning Training / GenAI Workshops / Strategic Leadership Roles/ Mentoring / Technology Evaluation / AI Solutioning for Startups / Tech / Innovation Coach). My coordinates - sivaram[at]phygitalytics.com [or] sivaram2k10[at]gmail.com 

Check out Daily Data Science Tips @ - http://sqlandsiva.blogspot.com - Ranked 37th in Top 90 Data Science Blogs, Websites & Influencers in 2021 - (https://blog.feedspot.com/data_science_blogs/)