Overview

About the Seminar:

In this seminar, delve deep into the world of Generative AI, uncovering its origins, evolution, and the potential it holds for the future. With a focus on real-world applications, this seminar will provide insights across diverse fields, equipping participants with a holistic understanding of the transformative power of generative models.

Introduction to Generative AI: Kickstart your journey by understanding the foundational concepts of Generative AI. Trace back to its roots and discover how models like GPT and others have paved the way for advancements in various sectors.

Generative AI in IT & Software Development: Witness the synergy of AI and software development. From automating mundane coding tasks to enhancing software documentation, explore how AI is revolutionizing the IT world. Dive deep into real-world applications with a case study on GitHub Copilot.

Generative AI in Finance: Money matters, and so does AI! Discover how Generative AI is shaping the financial landscape, from predicting market trends to detecting fraudulent activities. Explore a case study that delves into fraud detection leveraging OpenAI technologies.

Generative AI in Life Sciences: Venture into the realm of life sciences and understand how Generative AI is aiding in drug discovery, interpreting genomic data, and personalizing treatments. A case study on adverse event analysis provides a closer look at its real-world impact.

Interactive Session & Future Outlook: Engage in an open dialogue about the challenges and opportunities Generative AI presents. Delve into the ethical dimensions and speculate on what the future might hold for this promising technology.

Join us on this enlightening journey as we unlock the potential of Generative AI, exploring its multifaceted applications and envisioning a future sculpted by intelligent machines. Whether you're an industry professional or an AI enthusiast, this seminar promises to offer a fresh perspective on the world of generative models.

Target Audience:

The seminar on Generative AI, given its comprehensive overview and applications across multiple sectors, can attract a diverse range of attendees. Here's a breakdown of potential target audiences:

Tech Professionals and Developers: Those involved in software development, IT, and related fields can benefit from understanding how Generative AI can be used for code generation, debugging, and other tasks. The case study on GitHub Copilot would be of particular interest.

Researchers and Academics: Individuals involved in AI research, both generative models and other AI domains, will gain insights into the latest trends, applications, and challenges.

Finance Professionals: From analysts to investment bankers, anyone in the finance sector can gain insights into how AI is revolutionizing predictive analytics, algorithmic trading, and fraud detection.

Healthcare and Life Sciences Experts: Professionals involved in drug discovery, genomic data interpretation, and patient care can understand how AI is making strides in these areas.

Business Executives and Decision Makers: Leaders and managers across industries can learn about the potential applications of Generative AI in their respective sectors and the associated ethical considerations.

Students: Those pursuing studies in computer science, AI, finance, life sciences, and related fields can get a foundational understanding of Generative AI and its real-world applications.

Ethicists and Sociologists: Given the segment on ethical considerations, individuals concerned with the societal and moral implications of advanced AI would find the seminar enlightening.

AI Enthusiasts and Hobbyists: Anyone with a keen interest in AI, even without a professional or academic background in the field, can attend to get a comprehensive understanding of Generative AI.

Entrepreneurs and Start-ups: Those looking to innovate and integrate AI solutions into their business models can gain insights into potential areas of exploration.

Government and Regulatory Officials: Understanding the capabilities and implications of Generative AI can help in framing policies and regulations.

In essence, the seminar is designed to cater to a wide spectrum of audiences, from specialists in specific domains to generalists with a broader interest in the advancements and implications of Generative AI.

Seminar Objective: The objective of the Generative AI Seminar is multifaceted, aiming to:

Educate and Inform: Provide attendees with a foundational understanding of Generative AI, tracing its history, evolution, and the mechanics of models like GPT and other generative models.

Showcase Real-world Applications: Highlight the transformative impact of Generative AI across diverse sectors like IT, finance, and life sciences, with real-world case studies to illustrate its practical utility.

Foster Discussions on Challenges & Opportunities: Encourage open dialogues on the real-world challenges, limitations, and opportunities presented by Generative AI. This will help attendees grasp both the potential and the pitfalls of the technology.

Highlight Ethical Considerations: Address the moral and societal implications of Generative AI, ensuring that attendees not only appreciate its capabilities but also understand the associated responsibilities.

Inspire Innovation: By showcasing a broad spectrum of applications and possibilities, the seminar aims to inspire attendees to explore new avenues, innovate, and integrate Generative AI solutions in their respective fields.

Facilitate Networking: Provide a platform for professionals, researchers, and enthusiasts to connect, share ideas, and possibly collaborate on future projects related to Generative AI.

Envision the Future: Speculate on the future trajectories of Generative AI, helping attendees stay ahead of the curve and prepare for upcoming trends and advancements in the field.

In essence, the seminar seeks to equip attendees with knowledge, inspire innovation, foster thoughtful discussions, and pave the way for responsible and effective utilization of Generative AI in various domains

Basic Knowledge:

While the seminar on Generative AI is designed to provide a comprehensive overview suitable for a wide audience, some basic knowledge can enhance the learning experience. Here's a breakdown of suggested prerequisites:

Basic Understanding of AI and Machine Learning: Familiarity with core AI and ML concepts can help attendees grasp the intricacies of generative models more effectively. This doesn't mean a deep dive into algorithms but rather a general understanding of how machine learning works.

Awareness of Current Tech Trends: Given the seminar's focus on applications in IT, finance, and life sciences, a general awareness of current trends in these sectors can provide context to the discussions.

Familiarity with Basic Terminology: Terms like "training," "models," "datasets," and "algorithms" will likely be used throughout the seminar. A basic understanding of such terminology can aid comprehension.

Openness to Ethical Discussions: As the seminar delves into the ethical considerations of Generative AI, an open mind and willingness to engage in such discussions will enhance the experience during the interactive session.

However, it's important to note:

The seminar is designed to cater to a diverse audience. Thus, even if attendees do not possess the aforementioned knowledge, the content should still be accessible and informative.

For those who might feel they lack foundational knowledge, it could be beneficial to go through some introductory materials on AI and ML before attending the seminar. This can ensure they get the most out of the discussions.

In summary, while some basic knowledge can be beneficial, the seminar is structured to be inclusive and engaging for a broad range of attendees, from specialists to novices in the field of AI.

Agenda

Day 1 Schedule

• What is Generative AI?
• Brief history and evolution.
• Overview of Generative Pre-trained Transformers (GPT) and other generative models.

• Code generation and automation.
• Debugging and troubleshooting using AI.
• Enhancing software documentation.
• Predictive typing and code suggestions.
• Case study: GitHub Copilot.

• Predictive analytics and forecasting.
• Algorithmic trading and investment strategies.
• Risk assessment and fraud detection.
• Personalized financial advice and chatbots.
• Case study: Fraud Detection using Open AI.

• Drug discovery and molecular design.
• Genomic data interpretation.
• Predictive modeling for patient outcomes.
• Personalized treatment suggestions.
• Case study: Adverse event analysis using Open AI.

• Open discussion: Real-world applications and challenges.
• Ethical considerations of Generative AI.
• What lies ahead: Future advancements and areas of exploration.

Price

Speaker Profile

With 16 years of immersion in the transformative world of Business Analytics, Data Science, and Machine Learning, Rahul Tiwari stands at the forefront of driving innovation and expertise. From a foundational career in Data Warehousing to spearheading Data Science initiatives, Rahul has consistently collaborated with CTOs, key IT stakeholders, and professionals across diverse sectors, including retail, telecom, life sciences, and finance, integrating the powerful capabilities of Generative AI to solve complex business challenges. A certified Tableau and Teradata associate, Rahul combines academic prowess with hands-on experience. Their journey, which includes pivotal roles at industry-leading firms such as Deloitte, Tech Mahindra, Capgemini, Accenture, and Rawmind, is a testament to their dedication to harnessing the potential of AI-driven solutions. As the Co-founder of TheScholar, Rahul remains committed to advancing the frontiers of Generative AI. An avid writer and reader, they consistently share insights on the evolution and applications of Generative AI in modern business landscapes. If you're keen to delve into the future of AI and its generative potential, Rahul's guidance offers a comprehensive, insightful, and deeply enriching perspective.

Venue