AIAInow is your chance to stream exclusive talks and presentations from our previous events, hosted by AI experts and industry leaders.

It's a unique opportunity to watch the most sought-after AI content – ordinarily reserved for AIAI Pro members. Each stream delves deep into a key AI topic, industry trend, or case study. Simply sign up to watch any of our upcoming live sessions. 

🎥 Access exclusive talks and presentations
✅ Develop your understanding of key topics and trends
🗣 Hear from experienced AI leaders
👨‍💻 Enjoy regular in-depth sessions

Take a look at what we've got lined up 👇

  • Delivering on promise: entering a new era of technology
  • Exploring a fully monetized generative AI ecosystem
  • Generative AI from enterprise architecture strategy perspective

The technical playbook for operating your business with AI

July 30, 2024
11:00 pm EDT | 8:00 am PDT | 4:00 pm BST

Discover the ultimate playbook for operating your business with AI. In this insightful video, we delve into the technical aspects of leveraging generative AI to drive real business impact. Learn how companies are moving beyond proof of concept and experimentation to measure ROI and achieve tangible results.

Explore fascinating use cases in the enterprise knowledge domain, where large businesses are finally able to unify and leverage their vast amounts of data and knowledge. Join us as we discuss the power of LMs and generative AI in transforming business operations and driving organizational consistency.

Don't miss out on this opportunity to gain valuable insights into the future of AI-powered business operations.

CEO & Co-founder at Shakudo


Delivering on promise: entering a new era of technology

June 27, 2024
11:00 pm EDT | 8:00 am PDT | 4:00 pm GMT

Join us as we delve into the exciting world of generative AI and its impact on technology. In this video, we explore the incredible capabilities of generative AI and how it is revolutionizing various industries. Discover how companies like Microsoft are leveraging this technology to create responsible and ethical chatbots for a broader audience. Learn about the journey from GPT4 to Chat GPT and the surprising success it achieved. Get insights from industry experts and understand the significance of generative AI in shaping the future of technology.

Don't miss out on this opportunity to explore the new era of technology powered by generative AI.

Andreas Braun, Managing Director & Partner at Boston Consulting Group

Andreas built the Data Business Group for Accenture Technology in Europe and grew the team to more than 1800 professionals across EU and UK+I. In addition, he led Applied Intelligence for the DACH region. In 2020, Andreas took over global responsibility for the tech business of one of Accenture's largest insurance clients.

Previously at Allianz SE, Dr. Andreas Braun conceptualized, built, and leads the Global Data & Analytics team.
Global Data & Analytics (GD&A) is a group competence center responsible for Big Data, technology and architecture and data sciences.

GD&A is responsible for inventing and building powerful data analytics and applications sitting on our Big Data Reference Architecture. This is the core data platform at Allianz Group, tackling three dimensions of analytical excellence:

1. Customer and consumer experience
2. Technical insurance and data basing/ IT improvements
3. Innovative products and new (digital) business models

Before joining Allianz SE, Andreas headed up Group Business Applications at GfK SE, reporting into the group's CEO.
Previously, Andreas held management positions at TNS/ Kantar, T-Systems, and Accenture.

Andreas holds a diploma degree in computer science and theoretical medicine as well as a doctorate/ Ph.D. in computer science/ artificial intelligence from TU Munich.


Exploring a fully monetized generative AI ecosystem

May 29, 2024
11:00 pm EDT | 8:00 am PDT | 4:00 pm GMT

Join us in exploring a fully monetized generative AI ecosystem with Ruchika Sachdeva, the Head of Data Analytics at Coca-Cola HBC. Discover the challenges businesses face in monetizing the performance of generative AI applications due to the need for high amounts of data. Ruchika will share insights from the consulting and industry side, highlighting the potential of generative AI and its impact on various industries.

Don't miss this opportunity to learn about the latest advancements in AI and how it can transform your business. Register now and be part of the AI community!

Senior Data & Analytics Executive, specializing in data enabled business transformation. With 18+ years of cross industry expertise and a decade of consulting experience, I specialize in delivering business value from Data, Analytics and AI investments.


Generative AI from enterprise architecture strategy perspective

April 25, 2024
11:00 pm EDT | 8:00 am PDT | 4:00 pm GMT


In this session, the speaker discusses the evolution of machine learning (ML) and deep learning, highlighting the emergence of foundation models and their implications for enterprise use. She outlines the basic process of ML, transitioning to the complexities introduced by deep learning models, which can handle more complex inputs. Foundation models, with their large datasets and multimodal capabilities, offer new opportunities for reuse and fine-tuning.

The speaker emphasizes the shift towards treating models as software-as-a-service (SaaS) components, necessitating new governance and oversight processes within enterprises. She also addresses the challenges of multi-cloud environments and content moderation, advocating for a security-in-depth approach.

Furthermore, the speaker delves into the architectural design principles for deploying and managing AI models. She discusses considerations such as data compliance, orchestration, endpoint security, and threat mitigation. Finally, she outlines the development process for building and integrating AI models within a secure cloud environment.

Eyal Lantzman, GT Head of architecture AI/ML JPMorgan Chase & Co.

Expertise in designing, developing, and delivering intelligent systems (knowledge graph and machine learning) that scale and are operationally excellent.