Shaping Tomorrow's Business Today!
- 27th September 2024, Friday
- 2 to 6 PM
- Sahara Star, Mumbai
Overview
Gain insights as today’s leader to become tomorrow’s architect of transformative growth.
Artificial intelligence (AI) is rapidly transforming the business landscape, fundamentally changing how companies operate and compete. It’s no longer just a buzzword; AI is reshaping how businesses create, capture, and share value, driving significant growth across industries. As breakthrough applications of AI emerge daily, the urgency for companies to adopt and scale this technology is more critical than ever.
According to the KPMG AI & Digital Innovation Quarter Pulse Survey 2024, C-suite executives and business leaders are not just investing in AI—they are aggressively scaling Generative AI to unlock new revenue streams, maximize ROI, and solidify their competitive advantage. This trend underscores the importance of leaders upskilling themselves and their teams in AI to stay ahead in this rapidly evolving landscape.
The ET Now AI Masterclass offers practical solutions and cutting-edge strategies to address these challenges head-on, empowering professionals to enhance efficiency, minimize costs, and drive business success. By embracing AI and fostering an AI-first culture, you can transform your organization and lead it toward sustained innovation and growth.
Opportunities at this Masterclass
Engage in hands-on learning with direct interaction.
Live Q&A Sessions.
Receive soft copies of presentation slides for future reference.
Obtain a certificate upon completion.
Access recordings of the sessions for later review.*
Connect with a distinguished peer group.
Program Format
Why Participate in This Masterclass?
Engage in practical exercises and simulations to gain real-world AI skills beyond theoretical knowledge.
Participate in dynamic conversations and debates with instructors and peers to deepen your understanding of AI.
Learn to define clear and measurable AI objectives to effectively guide and track your progress.
Develop concrete AI strategies tailored to your unique goals and resources for immediate application.
Collaborate with other professionals, leveraging collective insights to enrich your learning experience.
Analyze actual AI scenarios and success stories to understand how strategies are implemented effectively in practice.
Participants in this masterclass will receive
Earn prestigious credentials as certificates from recognised institution*
Tailored for business and functional leaders, with no coding required
Master strategies to lead AI-powered transformation in your organization
Analyze actual AI scenarios and success stories to understand how strategies are implemented effectively in practice.
Who Should Attend This Masterclass?
C-level executives and VPs shaping organizational AI strategies
Senior managers driving transformation with data and AI
Functional leaders exploring AI's business impact
IT/Analytics Services Account Executives managing AI solutions
Product Managers seeking AI-driven product innovation
Mid-career professionals staying ahead with AI advancements
Agenda
Registration & Networking
Welcome Address
Module 1: AI and Machine Learning Fundamentals for Industry Professionals
Module 2: Leveraging AI and GenAI for Business Transformation
Module 3: Ethical AI and Regulation
Networking Break
Module 4: Fireside Chat: Enhancing Human-AI Collaboration Across Sectors
Module 5: Case Study: Navigating the AI Revolution in Enterprise Strategy
Module 6: AI-Driven Business Transformation and Workforce Upskilling
Closing Remarks
Modules
Module 1: AI and Machine Learning Fundamentals for Industry Professionals
This foundational workshop offers a comprehensive overview of AI and machine learning, tailored specifically for industry professionals. It will cover the essential concepts, algorithms, and applications of AI and ML, providing practical insights and a clear understanding of how these technologies can transform various industries.
Overview: The session will blend theoretical knowledge with practical application, featuring presentation and interactive Q&A session. Participants will gain valuable experience in applying AI and machine learning concepts to real-world scenarios, enhancing their ability to leverage these technologies in their professional roles.
What It Will Cover:
- Learn the basics of AI and machine learning, including key algorithms and their practical applications. Explore fundamental concepts like machine learning, deep learning, and prompt engineering, and understand how these technologies drive innovation across industries.
- Gain insights into the historical context and evolution of AI. Understand the distinctions between narrow AI, General AI, and Superintelligent AI, and discover how these trends shape the current AI landscape and influence business transformation.
- Analyze success stories and case studies from various industries to see how AI and machine learning are applied in practice.
Module 2: Leveraging AI and GenAI for Business Transformation
In this comprehensive session, we delve into how AI and Generative AI (GenAI) can be strategically aligned with business goals to drive transformative growth. We’ll examine the feasibility of various AI use cases, the crucial role of data quality and strategies, and the wide-ranging applications of AI across industries.
- Learn how to integrate AI and GenAI into your business strategy to achieve specific organizational goals. We’ll discuss how to evaluate the alignment of AI initiatives with your strategic vision and performance metrics.
- Discover how to assess the feasibility of AI use cases and the importance of high-quality data for successful AI implementations. We’ll cover how robust data strategies underpin effective AI solutions.
- Method: We’ll present frameworks and tools used by enterprises to evaluate AI projects, with insights on maintaining data integrity and addressing challenges related to data collection and management.
- Understand the key challenges in AI integration, including data privacy concerns, talent acquisition, and change management. We’ll identify common pitfalls and strategies to overcome these hurdles.
- This session is tailored for C-suite executives and senior leaders, offering actionable insights and practical solutions to harness the full potential of AI and GenAI in your organization.
Module 3: Ethical AI and Regulation
In this module, we will explore the critical aspects of ethical AI and regulatory compliance, addressing the pressing challenges and considerations in the development and deployment of AI systems.
Discussion Points:
We will focus on ethical dilemmas and bias mitigation strategies, offering a comprehensive overview of AI ethics and global regulatory landscapes. Participants will gain insights into addressing bias, ensuring explainability, and navigating the complexities of AI regulations across major regions.
Activities:
- Ethical Dilemma Scenarios: Engage in discussions and exercises to identify and address ethical challenges in AI, including bias detection and mitigation.
- Bias Identification Exercises: Practice techniques for identifying and reducing bias in AI systems, ensuring fairness and transparency.
- Regulatory Frameworks Review: Examine current and proposed AI regulations globally, understanding their implications and compliance requirements.
Outcome: Participants will develop actionable strategies for creating fair, transparent, and accountable AI systems, while also understanding the regulatory environment and preparing for future ethical and regulatory challenges in AI.
Module 4: Fireside Chat: Enhancing Human-AI Collaboration Across Sectors
Join us for an insightful fireside chat that explores the integration of advanced AI applications into various sectors, focusing on how these technologies enhance human-AI collaboration.
- Discover effective approaches for implementing AI applications across different industries.
- Engage in a dialogue about best practices for fostering productive and seamless interactions between human teams and AI technologies.
- Delve into emerging trends and innovations in AI that are shaping the future of work across multiple sectors.
Module 5: Case Study: Navigating the AI Revolution in Enterprise Strategy
In this case study, you’ll delve into a transformative journey where a traditional enterprise leverages AI to revolutionize its value chain and establish itself as an AI-powered leader. Explore how AI shifts from a mere tool to a strategic asset (AI 3.0), impacting both established and emerging business models.
Key Focus Areas:
- Analyze how AI catalyzes change across different value chains, from traditional operations to cutting-edge innovations.
- Examine various AI strategy models, including consulting, platform-based, and as-a-service solutions, to identify which best aligns with organizational goals.
- Decode the AI Strategy Hub framework to navigate the stages of AI maturity and learn techniques for calculating ROI on AI initiatives.
Outcome: Participants will gain a comprehensive understanding of how to integrate AI strategically within their enterprises, leverage diverse AI models, and measure the impact of AI investments to drive transformative success.
Module 6: AI-Driven Business Transformation and Workforce Upskilling
Join us for an interactive discussion that combines the strategic application of AI across business functions with the evolving needs for personalized learning and workforce upskilling. This session will provide actionable insights into how AI is reshaping key business areas and how personalized learning systems can support workforce development in the age of automation.
Discussion Points:
- Explore how AI can be strategically implemented across crucial business areas such as customer experience, marketing, risk and fraud management, supply chain, procurement, HR, finance, and accounting. Understand how Generative AI is transforming value chains and creating new leadership and workforce roles.
- AI and the CRO Model Framework: Delve into the CRO Model Framework, focusing on Customer Experience, Risk, and Operations, and discuss its impact on business transformation. Examine real-world examples and case studies to see how businesses have leveraged this framework for success.
- Examine AI-driven personalized learning systems and strategies for workforce upskilling. Participate in discussions on implementing personalized learning solutions and developing upskilling programs tailored to meet the demands of AI and automation.
Interactive Elements:
- Engage in interactive exercise where attendees collaborate on case studies and scenarios related to AI application and workforce development.
- Participate in exercise to identify skill gaps and formulate actionable upskilling strategies for various business functions.
Outcome: Attendees will leave with a comprehensive understanding of how to leverage AI for business transformation and the tools to develop effective, personalized learning and upskilling programs. This session will equip participants with practical insights and strategies to enhance their business operations and workforce capabilities in an AI-driven world.