Conclave on “GENERATIVE AI : THE FUTURE IS HERE”
Wednesday, 28 Jun 2023 | 9:30 AM to 5:00 PM
Generative AI is taking the tech world by a storm, and for a good reason. With its ability to create new and unique content ranging from text, imagery, videos, music content and more, generative AI is revolutionizing businesses across industries ranging from manufacturing, healthcare, IT, arts and design, advertising, and marketing.
Two of the most significant breakthroughs in the field of generative AI are development of Generative Adversarial Networks (GANs) and Large Language Models (LLM’s). GANs are a type of deep learning algorithm that can generate new data using two neural networks, one network generates the content, while the other network evaluates its quality. This allows blazing fast creation of images, video, and text data that is indistinguishable from real data expanding scope of application in fashion, film, and gaming industries where the ability to generate high-quality content quickly and efficiently is crucial.
Large Language Models (LLMs) such as Open AI’s Chat GPT and Google’s Bard efficiently generate human-like text based on natural language inputs enabling them to write essays, code and provide information whereas Dall-E, built using OpenAI's GPT implementation can generate imagery in multiple styles driven by user prompts, such as "a collage of a giraffe in a field of flowers.“
These capabilities make them driving systems for chatbots and virtual assistants, speech recognition and text-to-speech interfaces. Companies like Salesforce, Air India, Duolingo, Snapchat, Microsoft, Koo and more have integrated use of generative AI to optimize Customer Relationship Management (CRM) tools and automate tasks to compose emails, schedule meetings, autogenerate personalized agent chat replies to customers, provide customer insights, and more.
Generative AI also has applications in healthcare and medicine. For example, researchers at the University of Cambridge have used generative AI to develop new drug candidates for Alzheimer's disease. By analyzing patterns in existing data, the AI system was able to generate new compounds that showed promise as potential treatments for the disease. Despite the many benefits of generative AI, there are also concerns pertaining to Regulatory & Compliance issues, Data Security, Model Bias, and potential misuse owing to its ability to create fake news and propaganda, generate deepfake videos that are indistinguishable from real videos and make new content that is based on existing works harming the interests of creators.
Just so you know, this introductory note was written with the assistance of ChatGPT! Surprised?
MMA in association with EY is organizing a conclave to facilitate understanding of business applications, limitations, regulatory considerations and use cases of these tools. This conclave will be addressed through live presentation, panel discussion by experts from industry and question and answer round to address doubts
SPECIAL SESSION 1: Understanding generative AI Landscape- A step change in artificial intelligence
Brief:
We will delve into the current AI landscape and the vast potential of generative AI technology. We will understand what Generative AI means, different GenAI models, development stages till its current form and what future potential it holds, and how businesses can create highly personalized and efficient products and services to enhance customer experience, optimize operational efficiency, automate processes for cost reduction, generate compelling content for marketing campaigns, and even drive innovation in product design. Join us as we uncover the key areas where AI can drive innovation and efficiency in the business world and it’s impact of day to day life.
Key Takeaways / Session Focus:
Current AI landscape and the potential of Generative AI technology. Impact of Generative AI on day to day life, jobs and business.
AI driving innovation, efficiency, and growth across various business sectors.
SPECIAL SESSION 2: Deep dive into Large Language Models - ChatGPT and other generative AI models and its potential applications and business
Brief:
We will explore the transformative power and diverse applications of large language models (LLMs) in business and how LLMs can add value to business by revolutionizing content creation, data analysis, and customer service by leveraging chatbots. These chatbots can interact with customers, offer personalized recommendations, generate product descriptions and marketing copies, and even predict market trends and consumer behaviour. We will focus on the business value and potential applications of ChatGPT, a powerful Large Language Model (LLM) developed by OpenAI and other trending LLM’s of the likes of Bard – a text input, text output chatbot, DALL-E which can photorealistic images from a natural language text prompt and others. We will explore how ChatGPT, based on the advanced GPT-3.5 architecture, can enhance business processes by understanding and generating human-like language responses. Additionally, we will delve into the development and training of GPT-based models, uncovering their wide range of potential use cases. Join us for valuable insights into harnessing the capabilities of ChatGPT and other GenAI models to drive business optimization.
Key Takeaways / Session Focus:
Development and training of GPT-based models
Revolutionizing content creation, data analysis, and customer service with LLMs and chatbots. Exploring different LLM’s and their applications in personalized recommendations, content generation, and market prediction.
Harnessing business value of ChatGPT and GenAI models for process optimization.
SPECIAL SESSION 3: Current Challenges & Ethical/regulatory, Data Security and Model Bias Concerns
Brief:
We will explore the challenges and risks businesses may encounter when integrating AI technologies into their operations. We will discuss the ethical, regulatory, and data security considerations involved in AI implementation, with an emphasis on ensuring transparency and accountability in decision-making. Furthermore, we will address the hurdles related to improving model efficiency, generating high-quality content, and overcoming technical limitations. Join us as we examine these critical aspects and gain a comprehensive understanding of AI implementation challenges and potential solutions.
Key Takeaways / Session Focus:
Challenges of integrating AI: ethics, regulation, and data security.
Model bias concerns and accountability in AI decision-making.
Overcoming hurdles in model efficiency to generate high-quality content.
Addressing technical limitations and exploring potential solutions in AI implementation
SPECIAL SESSION 4: Industry's take on generative AI and its application in businesses
Brief:
We will summarize potential of generative AI models in revolutionizing content creation, data augmentation, and simulation, ultimately enhancing business operations and decision-making. While acknowledging the ethical concerns and potential risks associated with their use, we will delve into the steps taken by companies to establish guidelines and best practices for responsible development and application of generative AI models. Join us as we uncover the transformative power of generative AI and emphasize the significance of ethical and reliable implementation in the industry.
Key Takeaways / Session Focus:
Roadmap to leverage Generative AI for content creation, data augmentation, and simulation.
Scope of automation and quantification of value addition with Generative AI
Establishing guidelines and best practices for reliable implementation.
Impact on day to day jobs.
Transformative power of generative AI with emphasis on ethics and reliability of LLM models
Mr K Mahalingam
Senior Vice President, MMA
Partner/Director, TSM Group of Companies
Mr N Balaji
Partner - Technology Consulting, EY
Mr Gopi Kallayil
Chief Business Strategist, AI - Google, USA
Mr Jaspreet Bindra
Author, Founder & MD - Tech Whisperer Ltd, Cambridge, UK
Mr Sankaranarayanan "Shanky" Viswanathan
Vice President and CTO - Business Solutions
Tata Consultancy Services
Gp Capt R Vijayakumar (Retd), VSM
Executive Director, MMA
SPECIAL SESSION 1 : 11:30 AM
Understanding Generative AI Landscape- A step change in Artificial Intelligence
Chairman:
Mr Sachin Premnath
Director – Business Consulting, EY
Mr U Dinesh Kumar
Professor, Decision Sciences & Dean, Faculty
Chairperson, Data Centre and Analytics Lab, IIMB
Mr Vijay Karunakaran
Founder & CEO, InGage Technologies Pvt Ltd
12:30 PM 01:15 PM
SPECIAL SESSION 2 :
Deep dive into Large Language Models - ChatGPT and other generative AI models and its Potential applications and business transformation
Chairman:
Mr N Balaji
Partner - Technology Consulting, EY
Mr Johann Verghese
Founder & CEO, Exemplary AI
Generative AI for Video & Audio, San Francisco
Mr Sudalai Rajkumar - SRK
Head of AI & ML, Growfin & 4x Kaggle Grandmaster
Angel Investor and AI & ML Advisor
03:15 PM
02:00 PM 04:45 PM
Current Challenges & Ethical/Regulatory, Data Security and Model Bias Concerns
Mr Hemant Krishna
Partner, Shardul Amarchand Mangaldas & Co, Bangalore
Mr Mahesh Ramachandran
Na. Vijayshankar (Naavi)
Data Governance and Data Protection Consultant & Chairman, FDPPI
CEO - Tech Innovations
SPECIAL SESSION 4 PANEL:
Industry's take on Generative AI and its application in businesses
Chairman: Chairman:
Ms Dhivya J
Senior Manager Technology Consulting & Analytics, EY
SPECIAL SESSION 3 : Concluding Remarks
Mr Irshadh A Rasheed
Partner - Cyber Security Technology Consulting, EY
Mr R Dandapani
Business Solutions Evangelist, Zoho Corp
Mr Vijay Gnanadesikan
Founder & CEO, FaceTagr
Mr Kausikram Krishnasayee
Sr Director, Product Management, Kissflow
Dr Nethra Sambamoorthi
Founder and CEO, Institute of Analytics USA (TM)
Mr Kavin Kumar Kandasamy
Founder & CEO - PROCLIME, Director - WiSkill
