Wipro

Director, Data Analytics & AI

Cognizant

Technology strategy consulting  and delivery of Data and AI/ML projects for Life Sciences and Financial Services firms in the DACH region.

Principal AI/Analytics Architect

Darwin Digital

Darwin Edge (https://darwinedge.com/) supports companies to exploit the true potential of Edge AI computing. 

Edge AI enables intelligent consumer focused solutions to be deployed on edge devices, reducing latency, improving energy efficiency and providing strong privacy guarantees.

We have proven experience in delivering Visual, Location and Analytical solutions at the edge for diverse industries, such as Healthcare, Automotive, Manufacturing, Retail and Energy. 

You will be able to leverage our team's expertise in AI, Data and Hardware Engineering to move your AI prototypes to products, ensuring that your applications are open, scalable, cost-effective, and deployed in a responsible fashion. 

Chief Technology Officer

Philip Morris International

Led Artificial Intelligence (AI) strategy execution at PMI: 
•	Formation of the AI Center of Excellence
•	Delivered AI solutions to different PMI functional units in the fields of Predictive Analytics, Forecasting, NLP and Image Recognition. 
•	Setup an innovation pipeline (process and governance) for AI related use-cases, starting from demand gathering to PoCs to productization.
•	Govern and contribute towards Analytics Strategy, Technology Roadmap and Architecture of PMI’s (AWS based) Big Data platform.  
•	Establish a partner ecosystem consisting of cloud and service providers, universities and startups.
•	IPR generation and protection, including advancing the state-of-the-art with scientific publications and Open Source contributions to AI research frameworks. 

Established PMI’s Open Source Governance Office. Activities include Open Source license management, scanning tool roll-out and managing Open Source contributions.

Principal AI/Analytics Enterprise Architect

Swisscom

Design and develop the architecture of Swisscom’s Analytics platforms.

Big Data stack:
- Architect Data Science delivery pipeline with technology and tool selection.
- Develop privacy guidelines for the Big Data platform.

Data Warehouse (DWH): 
- Provide data modeling guidelines for the DWH platform. 
- Co-ordinate and manage the activities of diverse analytics teams involving marketers to solution developers, for new marketing service requests.

BI Enterprise Architect

Iprova Sàrl

Iprova is transforming the way new products and services are invented by using data and AI/ML technologies to enable customers to have a sustainable competitive advantage.

- Led the design and development of Iprova's software platform. 
- Filed 25+ patents for a number of Fortune 500 companies.

Technology Leader

Nokia Research

Research on Geo-location based Services, Security & Privacy

20+ Patents and scientific publications in related fields.

Senior Researcher

Research on Distributed secure protocols for SAP Supply Chain Management (SCM) systems - as part of the EU project SecureSCM.

Researcher

Oracle Corp.

Prototype development and consulting focusing on Oracle 9iAS (J2EE
Application Server).

Technical Consultant

Infosys Technologies Limited

Software development and design on J2EE/C++/Web technologies.

Software Engineer

Debmalya Biswas has over 20 years of experience working on AI/ML, Big Data Analytics, Privacy & Security related topics; most recently as Director, Data Analytics & AI at Wipro, Switzerland. 

He has previously worked for leading technology companies, e.g., Nokia Research, SAP Research, Oracle, Swisscom, and Swiss startups Iprova and Darwin Digital. 

He has authored 50+ patents, 30+ scientific articles, is a regular speaker at leading AI/ML conferences and is a member of the AI4EU Evaluation Committee. He holds a PhD in Computer Science from INRIA, France.

Adding Empathy to #AgenticAI
Fine-tuning AI Agents based on User #Personas to improve their #Empathy Quotient

Given the rapid adoption of #AIAgents, we can foresee a lot more human-AI interaction in the not so distant future. Our homes, cars, and apps will likely be using #AIAssistants to interact with us on a daily basis. 

As #AI permeates every corner of our lives, the quality of these interactions will contribute to our day-to-day #mental health. We have learned the hard way that our interactions with #socialmedia can have a significant impact on our mental health. 

AI agents / assistants are no different with the recent widely circulated news where a Google Gemini based #Chatbot basically told a student:
"Human … Please die."
 
So it makes sense to build these interactions with #empathybydesign. Empathy involves conveying that you can both understand and share the #emotions of another person, sometimes also recognized through the metaphor of “emotion resonance.” Scientific studies have characterized the crucial ingredients of empathy as caring, kindness, and concern. 

In general, from a technology point of view, empathy can be considered as one of the (key) enablers towards personalizing the human-AI interaction. Sam Altman highlighted the #personalization aspect in one of his recent tweets:

"In a few weeks, we plan to put out a new version of ChatGPT that allows people to have a #personality … If you want your ChatGPT to respond in a very human-like way, or use a ton of emoji, or act like a friend, ChatGPT should do it."

The tweet of course became controversial for the below part   :)

"as part of our “treat adult users like adults” principle, we will allow even more, like erotica for verified #adults."

but we focus on the empathy / personalization aspect in this article. Analogous to fine-tuning #LLMs to domain specific LLMs / #SLMs, we argue that fine-tuning of these (generic) AI agents will be needed with respect to user specific persona and context — to drive their #responsible adoption.

We outline a reference #architecture for Agentic AI platforms in Section 2, extending the same to add an empathy / personalization layer for agents in Section 3 based on fine-tuning LLMs and #ReinforcementLearning techniques.

(views are my own)

Debmalya Biswas

AI @ UBS | x- Nokia, SAP, Oracle | 2x Startups | 50+ patents | PhD - INRIA

1. Introduction The discussion around ChatGPT (in general, Generative AI), has now evolved into Agentic AI. While ChatGPT is primarily a chatbot that 

Open article: Adding Empathy to Agentic AI by Debmalya Biswas • 12 min read

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