AI Forum

Join us for the grand finale of the ADL AI Summit 2023 – the AI Forum!

This year’s AI Forum will open doors to the world of Generative AI, bringing you an stellar lineup of speakers covering diverse topics. Don’t miss out on the exclusive fireside chat with industry leaders in AI, ML, NLP and more.

Register now to explore AI’s real-world applications and more!


AI Forum Keynote Speakers

Resist the Hype! AI is not a hammer, and every problem is not a nail.​

Resist the Hype! AI is not a hammer, and every problem is not a nail" serves as a crucial reminder that the application of artificial intelligence should be thoughtful and purpose-driven. It underscores the idea that AI is a versatile tool, not a universal solution, and its adoption should be based on a clear understanding of the problem it aims to address. Rather than blindly embracing AI as a one-size-fits-all solution, this phrase encourages a discerning approach, where the choice to employ AI technology should be guided by a comprehensive assessment of whether it is the most suitable means to solve a particular problem. It emphasizes the importance of maintaining a balance between the enthusiasm for AI's potential and the responsibility to use it judiciously and effectively.​

Frank Kane​

President of Sundog Education and Udemy instructor​

Generative AI for Images and Signals.​

In this talk, an overview of the main methods for generating images and other types of signals, including one-dimensional and three-dimensional data, will be given. Additionally, a brief discussion of potential applications and the technology's associated dangers will be touched upon.

Professor Brendan McCane​

Professor in AI & Vision, University of Otago, New Zealand

Data Infrastructure for Big Models in Remote Sensing​

The Earth's increasing instability due to anthropogenic climate change necessitates advanced natural resource management supported by fine-grained data, including remote sensing information. Handling the growing volume of data and resource-intensive Transformer models in geospatial workflows presents challenges, which will be discussed in a presentation on Vibrant Planet's engineering strategies.​

Bogdan State​

Head of Machine Learning - Vibrant Planet/Ex-Meta

The Foundation & Application of Generative AI in Healthcare​

Generative AI in healthcare harnesses data analysis and advanced modeling to enhance disease diagnosis, drug discovery, and personalized treatment, offering the potential to revolutionize medical decision-making and improve patient outcomes.​

Lenny Chen​

Executive Consultant, PriceWaterhouseCooper (PWC) - Middle East

Cloud-Powered Generative AI: A Catalyst for Business Transformation​

Cloud-powered generative AI is the driving force behind a transformative wave in the business world, enabling organizations to harness the vast computing power of the cloud to create innovative solutions and products. By leveraging this technology, businesses can streamline operations, automate tasks, and unlock new avenues of creativity and efficiency.​

Marc Fong​

Head of Data & AI, Customer Engineering, Google Cloud Southeast Asia​

Leading Through Crisis with AI​

The topic discusses how advanced computing and AI can enhance crisis leadership by integrating the POP-DOC Loop framework and emphasizes the importance of a holistic approach to address interconnected global challenges.​

Brian R. Spisak, PhD​

Research Associate at Harvard’s National Preparedness Leadership Initiative and the Harvard T.H.​ Chan School of Public Health

​Leading the Era of Generative AI

Technology is advancing at an astonishing pace, capturing daily headlines, and experiences driven by large language models, such as ChatGPT, have become a global sensation, transcending the realm of tech enthusiasts. As a consequence, employees are increasingly likely to seek these transformative capabilities in their daily tools, while customers will swiftly come to anticipate AI-enhanced services as the norm. However, what truly ignites excitement is the substantial, real-world impact that this technology can deliver.

Rita Abdellatifi​

AI Regional Tech Lead, Microsoft ​

The AWS Generative AI story: From ML to AI to the Cloud​

​Generative AI has so much potential, and why is this technology – which has been percolating for decades – seeing so much interest now? The potential of Generative AI is incredibly exciting with a forecasted $7T increase in global GDP over the next 10 years. Let’s have a look at common use cases that AI and Generative AI, enable. How, you can apply generative AI across all lines of business including engineering, marketing, customer service, finance, and sales. How AWS can help you start working with generative AI on AWS right away.

Mani Chandrasekaran

Principal Solutions Architect at Amazon Web Services (AWS) for India and South Asia​

Gen AI in the enterprise world​

Gen AI in the enterprise world refers to the integration of advanced artificial intelligence and generative technologies, like GPT-3, into business processes and operations. It empowers organizations to streamline tasks, enhance decision-making, automate customer interactions, and generate content at scale. Gen AI enables businesses to harness the power of AI to increase efficiency, productivity, and innovation across various industries, from customer support and content creation to data analysis and strategy development.​

Suresh Shankar​

CEO and Founder of Crayon Data​


Fireside Keynote Speakers

Impacts of Generative AI to enterprise digital transformation​

Generative AI is transforming businesses with applications ranging from automated content creation to chatbots, but its adoption requires a balanced consideration of both the opportunities and challenges it presents.


steve bowker
Steve Bowker
Head of AI Platform & Architecture Ericsson​


Dr. Suranga Seneviratne

Senior Lecturer in Security,
University of Sydney

Anirban Mahanti, PhD

Lead Advisor,
7investing LLC​

Jon Penrose​

Business Development Manager – Telco Data & Analytics. Amazon Web Services​

Future of Generative AI and its ethical implications​

The future of generative AI holds great promise for diverse content creation and problem-solving, but it also raises significant ethical concerns. To harness its potential while safeguarding society, stakeholders, including researchers, developers, business owners, and policymakers, must prioritize responsible AI development and robust regulations to strike a balance between innovation and ethical responsibility.


Anthony Behan 
Managing Director for Communications Media & Entertainment at Cloudera


Tony Kalcina

CEO of Clarity and TM Forum Global Ambassador​

Chris Lewis

Founding Director - Lewis Insight, Telecoms Industry analyst, strategic advisor, public speaker, disability/accessibility specialist​