Presentations

PRESENTATION - [ROBERT BOSCH GmbH] Data Modeling is Dead! Long Live Data Modeling!

PRESENTATION - [ROBERT BOSCH GmbH] Data Modeling is Dead! Long Live Data Modeling!

Unlock the Future of Data with Bosch: "Data Modeling is Dead! Long Live Data Modeling!"

Discover why traditional data modeling methods are evolving and how Bosch is pioneering a new approach to data integration and utilization. In this exclusive presentation, Andreas Wagner from Robert Bosch GmbH will explore the decline in public interest in data modeling and introduce innovative strategies like knowledge graphs and ontologies.

Learn how these advanced techniques enable AI-driven solutions, boost data quality, and streamline decision-making across business and IT. Download now to gain insights into the future of data management and stay ahead of the curve!

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PRESENTATION - [HUAWEI] Efficient training of machine learning algorithms

PRESENTATION - [HUAWEI] Efficient training of machine learning algorithms

Efficient Machine Learning: Optimizing Results at Reduced Costs

Join Heiko Joerg Schick, Chief Architect at Huawei, as he explores cutting-edge strategies to reduce the computational costs of machine learning. This presentation dives into Huawei’s groundbreaking work on energy-efficient AI models, like Huawei Pangu-Weather, and introduces techniques such as Low-Rank Adaptation (LoRA) and Retrieval-Augmented Generation (RAG) to enhance performance while minimizing resources.

Discover how these advancements can revolutionize your AI projects and drive efficient, cost-effective machine learning solutions. Download now to learn how you can optimize your AI initiatives for the future!

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PRESENTATION - [BASF SE] Unifying Enterprise Knowledge: Harnessing Generative AI and Knowledge Graphs

PRESENTATION - [BASF SE] Unifying Enterprise Knowledge: Harnessing Generative AI and Knowledge Graphs

As part of our preparation for this year’s focus topics, I am presenting a past presentation from BASF SE from the IAAI Intelligent Automation and Artificial Intelligence 2024 conference.

Learn more about:

  • How and Where does BASF Engage with Generative AI
  • AI development with Generative AI
  • Using Gen AI and knowledge graphs to simplify interactions with complex systems

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PRESENTATION - [B.BRAUN] Intelligent Automation - Playbook for Scaling Automation

PRESENTATION - [B.BRAUN] Intelligent Automation - Playbook for Scaling Automation

As part of our preparation for this year’s focus topics, I am presenting a past presentation from B.BRAUN from the IAAI Intelligent Automation and Artificial Intelligence 2024 conference.

Learn more about:

  • Why Automation Matters?
  • The Scaling Challenge
  • Spectrum of Smart Automation – Basics Matters
  • Future Ecosystem – Transformation Foundation Matters

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PRESENTATION - [B/S/H] AI Culture & Strategy - Masterclass

PRESENTATION - [B/S/H] AI Culture & Strategy - Masterclass

As part of our preparation for this year’s focus topics, I am presenting a past presentation from B/S/H from the IAAI Intelligent Automation and Artificial Intelligence 2024 conference.

Learn more about:

  • Why Talk About AI Culture & Strategy
  • AI Culture
  • AI Project Prioritization and Planning
  • Buy vs. Build

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PRESENTATION - [B/S/H] Data Foundations For AI - Ensuring Data Quality for a Seamless Implementation of an AI Strategy

PRESENTATION - [B/S/H] Data Foundations For AI - Ensuring Data Quality for a Seamless Implementation of an AI Strategy

As part of our preparation for this year’s focus topics, I am presenting a past presentation from B/S/H from the IAAI Intelligent Automation and Artificial Intelligence 2024 conference.

Learn more about:

  • The „ GiGo “ Principle
  • How to Improve Data Quality?
  • Practical Considerations/Use Cases

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PRESENTATION - [ING WHOLESAME BANKING] Implementing A Successful Hyperautomation Strategy - Masterclass

PRESENTATION - [ING WHOLESAME BANKING] Implementing A Successful Hyperautomation Strategy - Masterclass

As part of our preparation for this year’s focus topics, I am presenting a past presentation from ING Wholesale Banking from the IAAI Intelligent Automation and Artificial Intelligence 2024 conference.

Learn more about:

  • The ultimate strategy for hyperautomation consists of multiple layers - what are these at ING?

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PRESENTATION - [HOLIDAY EXTRAS] Accelerating from prototype to production

PRESENTATION - [HOLIDAY EXTRAS] Accelerating from prototype to production

As part of our preparation for this year’s focus topics, I am presenting a past presentation from Holiday Extras from the IAAI Intelligent Automation and Artificial Intelligence 2024 conference.

Learn more about:

  • The Dinosaur Problem
  • The Skynet Problem
  • The Safe Play Problem
  • The Ignorance Problem
  • The Day Job Problem

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PRESENTATION - [TELEKOM AUSTRIA] The magic story of "Tabby", Attracting Devs to the world of AI

PRESENTATION - [TELEKOM AUSTRIA] The magic story of "Tabby", Attracting Devs to the world of AI

Learn more about: A Christmas Present that no one seems to be interested in?

  • At the end of 2022 OpenAI revealed ChatGPT to the public.
  • In early2023 A1 started internal discussions about potential influences of AI and how to make first steps.
  • At the end of Q2 a number of experiments, distributed over different areas in the company, have been started.
  • However: There wasn‘t much to observe in the area of IT Software Development!

This presentation by Markus Mazanec, TEC Transformation Execution & Enablement at A1 Telekom Austria AG from the IAAI 2024 conference, is now available for free download.

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PRESENTATION - [WISE] How did GenAI Change the Way we do Data Science?

PRESENTATION - [WISE] How did GenAI Change the Way we do Data Science?

As part of our preparation for this year’s focus topics, I am presenting a content piece titled "How Did Gen AI Change the Way We Do Data Science?" by Dr. Egor Kraev, Head of AI at Wise from the GenAI EUROPE 2023 conference.

This presentation delves into the profound shifts in data science brought about by generative AI, covering essential areas such as:

  • Overcoming the limitations of traditional ML tools Integrating ML and natural language
  • Enhancing data interaction without extensive coding
  • Reducing the need for large datasets
  • Accelerating learning curves and prototype development

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