IAAI Summit 2024 - Enabling Autonomous Enterprise and Value Creation through AI, Gen AI, Data-Driven Decision Making and Intelligent Automation.

Key Topics 2024: 

• Explore diverse AI case studies in finance, software development, customer support, legal applications, supply chain, HR, and more for cost savings and increased efficiency.
• Hear insights from renowned companies across various industries like telecom, manufacturing, pharma, healthcare, finance, insurance, automotive, and airlines.
• Discover emerging AI technologies, assess associated potential and risks, and advance responsible AI, cybersecurity, privacy, and compliance with government regulations.
  
• Learn to conduct audits on AI systems and strategize for enterprise transformation through data, processes, people, and technology.
• Secure further AI investment by defining, measuring, and ensuring ROI.
  
• Address people and culture challenges, including mindset, data literacy, and employee motivation through interactive workshops.
• Participate in a focus day on Generative AI, exploring true value use cases and advanced methods like knowledge graphs and prompt engineering.
• Implement hyperautomation and orchestration of technologies for seamless end-to-end process automation in back office, logistics, customer service, HR, and other business areas.
• Prepare data and architecture for seamless (generative) AI and automation implementation, including data quality, governance, and legal aspects like data privacy.
• Discuss sustainable development specs and implementing ESG requirements into company processes, exploring how AI and Automation can support these efforts.

Exclusive Interview

"AI is the new electricity" - Watch the interview with Sonika Kapil, AI & App Chief Architect at MIRCOSOFT.

In this exclusive interview Ms. Kapil answered the following questions:

1. What is Microsoft's vision for Generative AI?
2. What are some key components of Microsoft's Generative AI strategy that attendees can expect to learn about in the workshop?
3. How does Microsoft aim to empower organizations to harness the latest AI technologies for their unique needs?
4. Crafting the AI roadmap involves making decisions about whether to buy or build AI solutions. What factors should organizations consider when making these decisions?
5. Can you explain some cross-industry use cases of Generative AI, particularly in finance, HR, manufacturing, and other sectors?
6. Security and compliance are crucial when deploying AI solutions. How does Microsoft ensure the secure and compliant use of Generative AI technologies?
7. Could you elaborate on Microsoft's approach to ethical AI and how it guides the development and deployment of AI solutions?
8. What steps does Microsoft take to promote transparency, fairness, and accountability in AI systems?
9. What trends do you foresee shaping the future of AI adoption across industries?
10. How do you anticipate Generative AI evolving in the coming years, and what implications does this have for organizations?

Watch the interview for free.

Exclusive Interview

Watch the interview with Cristina Duta, Director of Intelligent Automation, Global Business Services at AECOM.

In this exclusive interview Ms. Duta answered the following questions:

• As a Director of Intelligent Automation at AECOM, could you provide insights into why understanding GenAI's adaptive role within intelligent automation is crucial in today's digital landscape?
• In your presentation, you will talk about GenAI's adaptive algorithms, continuous learning loops, predictive precision, and contextual understanding. How do these capabilities revolutionize automation's responsiveness and decision-making capabilities?
• Integrating GenAI to foster self-learning loops within automation systems is highlighted. How does this continuous learning aspect contribute to improving adaptability to dynamic environments?
• GenAI's ability to comprehend context nuances can be used to refine automation's decision-making. Can you share specific instances where GenAI has demonstrated this capability, leading to nuanced data interpretation?
• There's a debate over whether Gen AI will augment existing processes or disrupt them completely. What is your perspective on this, based on your experience and observations in the field?
• What are the risks associated with fully relying on Gen AI for automation, and how can organizations mitigate these risks effectively?
• Can you share any implemented use cases of Gen AI in automation? What were some unexpected challenges, and how were they addressed?
• What part of the conference are you looking forward to most personally?

Watch the interview for free.

Generative AI 101 - Introduction to the Fundamentals - a presentation by Sonika Kapil, MICROSOFT

It was a pleasure and a highlight of the conference to have Sonika Kapil from Microsoft holding a memorable workshop at the conference 2023. Participants remembered it as the most important takeaway. That's why we asked Microsoft to share their insightful 69-page presentation.

What you will learn about from this presentation:

• Microsoft's Generative AI Vision
• Cross-Industry GenAI Use Cases( Finance, Retail , Manufacturing, Public Sector)
• Top Use Cases for GenAI
• Customer GenAI Journey
• Bing Chat AI
• Multiagent Conversation Framework
• Emerging Generative AI Deployment Patterns
• Hierarchy of language model customization
• Prompt Engineering Guide
• Responsible AI
  

Embarking on Your AI Journey

Download the presentation for free.

Annual PEX Report 2024: Global state of process excellence

Learn how companies are capitalizing on innovation in a dynamic business environment, with success stories from the likes of Johnson & Johnson, Swiss Re and Bosch Group.

The PEX Report 2024 showcases the results of our annual global-state-of-the-industry survey of over 250 operational excellence leaders, which informs us on current process challenges, priorities and investments over the next 12 months. Featuring exclusive analysis and commentary from process experts at Nestle Health Services, Newell Brands and AIB, the report provides a benchmark for organizations currently undergoing their own operational excellence and digital transformation journeys.

Download PEX Report 2024 to:

• Benchmark against your peers on strategic priorities, technology investments, transformation techniques and decade-defining challenges
• Discover how companies like Swiss Re Corporate Solutions are doubling down on traditional process excellence techniques such as Kaizen, BPM and Lean Six Sigma to pave the way for cutting-edge innovation, reinvent the customer experience and boost growth
• Find out how to harness the power of generative AI ethically, safely and without compromising the human experience
• Read how Johnson & Johnson built and evolved its process intelligence CoE into the "brains of the business"

Download report now.

"TASK VS. PROCESS MINING IN HR @ BAYER: A closer look to pitfalls, benefits and situational approach" - by Tina Sasse, Product Owner Process Discovery & Optimization @ Bayer

What you will learn about in this expert presentation:

• Different perspectives of process: When to use PM, when TM?
• Value Realization and outcomes: It’s not always about RPA.
• Challenges of Machine Learning in TM & PM: Train your AI vs. Automation
• Lessons learned and Use Cases

Focus HR - At the 2024 conference we will hear about:

AUTOMATING HR PROCESSES – OVERCOMING DATA PRIVACY CHALLENGES

• Discussing the challenges posed by GDPR regulations to HR data usage.
• Ways to overcome the challenges, use of statistics without accessing personal data and other approaches
• Overcoming challenges posed by differences in countries’ laws and regulations
• Potential for Gen AI in HR automation

Secure your seat today!

Navigating Challenges in Integrating LLMs - Interview with Dr. Bogdan Pirvu, Novomatic

At this years edition of the Artificial Intelligence & Intelligent Automation Summit Dr. Bogdan Pirvu will speak about:

• LLM APPLICATION DEVELOPMENT: HOW TO USE CHATGPT AND OTHER LARGE LANGUAGE MODELS TO BUILD RELIABLE SYSTEMS
• PROMPT ENGINEERING FOR INTELLIGENT AUTOMATION APPLICATIONS
• and join the panel discussion on ADVANCES IN GEN AI AND ITS APPLICATIONS IN AUTOMATION

We asked him to answer the following questions in his interview in the build-up to the exceptional event:

• Integrating LLMs into larger applications can present challenges in terms of predictability and maintainability. Can you elaborate on some of these challenges and their implications for application development?
• You will talk about a framework to deal with the challenges. Could you outline some key components of this framework and how it addresses the predictability and maintainability concerns?
• From your perspective, will Generative AI be augmenting existing processes or disrupting them completely?
• How can organizations assess whether their data is ready for leveraging Gen AI effectively, and what steps can they take to ensure data readiness?
• Looking ahead, what do you envision as the future of Generative AI and its applications in automation? Are there any emerging trends or technologies that you believe will shape the evolution of this field?
• What part of the conference are you looking forward to most personally?

Read the interview for free.

Harnessing business intelligence and data analytics: 2024 industry report

Business intelligence and data analytics are at the epicenter of the digital enterprise

This PEX Network report provides a comprehensive overview of the current state of business intelligence and data analytics. With insights from PEX Network’s advisory board and senior business leaders at Copenhagen Airport, Formula E and the International Myeloma Foundation, the report assesses the opportunities and challenges business intelligence and data analytics pose.

Download this report to read about:

• The trends shaping the business intelligence and data analytics landscape.
• Case studies from Copenhagen Airport, Formula E and the International Myeloma Foundation.
• Business intelligence and data analytics success factors and challenges.

Download the report for free.

Exclusive Interview

Dr. Jannik Podlesny is Principal, Data & Analytics for Cimpress/Vistaprint. An engineer by heart, with a passion for computer science, he engages in research around data privacy and profiling at the Hasso Plattner Institute (HPI) in Potsdam, contributing to numerous publicationsand patents in this field. Prior to joining Vista, Jannik worked as Associate Director at McKinsey, living in New York, and now enjoys the vibes of Berlin. 

In this exclusive interview he answered the questions: 

• Can you provide a brief introduction to your role at Vistaprint and your involvement in the journey of end-to-end automation for customized product creation in manufacturing?
• Reflecting on Vistaprint's 15-year journey with end-to-end automation, what were the key milestones and challenges faced during this transformative process?
• How has the landscape of customized product creation in manufacturing evolved parallel to automation technologies and where is this evolution headed?
• With 1200 data streams processing different sensor data, handling 9.5B JSON event messages per day, and involving 3000 active users, how did Vistaprint manage the complexity of such a vast amount of data?
• Can you share any insights into the data architecture and infrastructure that supported this scale of data processing?
• Can you share any lessons learned that might be valuable for other organizations looking to embark on a similar automation journey?
• What are you hoping will participants take away from your presentation at the IAAI 2024?
• In your panel talk “EXPLORING APPROACHES TO SCALING INTELLIGENT AUTOMATION” with Schaeffler and DFCG you will speak about the aspect of sustainability which is becoming increasingly important. Which sustainability efforts are you making within Vistaprint's operations?
• How does Vistaprint approach the training and development of its workforce to ensure alignment with the evolving landscape of automation technologies?

Watch the full interview for free by clicking on the button.

"HYPERAUTOMATION AS A SERVICE ON THE EXAMPLE OF ACCOUNTS PAYABLE: INCREASING PRODUCTIVITY, QUALITY AND TRANSPARENCY" by Andreas Amrein, Director Smart Automation Services & Accounts Payable @B. Braun Gruppe.

What you will learn about in this expert presentation:

• Why Automation Matters?
• Initial Target in 2012 Double Productivity until 2020
• Spectrum of Smart Automation Seamless & Touchless
• Vendor Invoice Management Process Digital Backbone
• Performance Development Accounts Payable Process
• Process Mining Monitor and Efficiency Dashboards
• Performance Development Accounts Payable Process
• Rollout RPA Robotic Process Automation
• An example on Value Add of RPA
• Performance Development Accounts Payable Process
• AI Coding for Non Purchase Order Invoices
• Performance Development Accounts Payable Process
• Cost Avoidance Leads to Real Cost Savings
• Future Ecosystem Transformation as Chance for New Service Innovation

Secure your seat today!

End to End Process Management - Turning a jargon into reality and enabling an enterprise to become more valuable by Ashish Ranjan, Head of Global Business Services, Clariant

What you will learn about:

A Holistic E2E Approach – Turning a jargon into reality and enabling an enterprise to become more valuable.

• Optimizing performance across the chain: in line with the customer journey design
• Visualizing processes E2E, in order to enhance cash conversion cycle
• Developed organically and in-house: Ensuring people engagement, driving actions and impact
• Developing the broader shared context with the team – becoming customer sensitive
• Lessons learned: Predictions, Challenges (failures) and Reality Check
  

Download the presentation for free.

Free Report on Generative AI's Revolutionary Impact on Digital Transformation

What you will read about:

• Refining the value of data
• Enhancing software development
• Revolutionizing customer support and CX
• Reshaping digital marketing
• Generative AI’s governance challenges

More Generative AI topics at the IAAI 2024:

• Brainstorm the most suitable AI strategy for your enterprise to enable the transformation through data, processes, people and technology. Secure further investment in AI by defining, measuring, and ensuring ROI
• Participate in the focus day on Generative AI, the number one topic important for IT and AI Leaders looking for “true value” use cases. Learn how to use advanced methods such as knowledge graphs in combination with LLM to reduce cost and increase profit. Learn how to use prompt engineering to maximize your Gen AI model’s potential.
• Discover emerging AI technologies and associated potential and risks. Learn how to advance responsible AI, cybersecurity, privacy and complying with government regulations, such as the AI act. Hear about how to conduct audits on AI systems.
• and many more...

NOVOMATIC: LLM-Based Development - A presentation by Bogdan Pirvu, Head of Data Science @ Novomatic

What you will learn about:

LLM-Based Development - How to use ChatGPT and other Large Language Models to build reliable systems.

Large Language Models (LLMs) like ChatGPT have revolutionized the field of artificial intelligence, demonstrating immense potential for their application in various industries. This talk delves into the emerging paradigm of LLM-based development, focusing on harnessing LLMs as the logic engine to drive highly engaging and personalized user experiences in modern applications. Specifically, we’ll be looking at:

• The benefits of using LLMs for decision-making and user assistance
• The challenges of integrating LLMs into larger applications: predictability & maintainability
• A framework to deal with these challenges

Read the presentation for free.

Report: Streamlining Generative AI

This report explores the evolving landscape of Generative AI, focusing on key trends and insights shaping its trajectory in 2024. Deloitte's forecast highlights a significant increase in enterprise spending on Generative AI, driven by the pursuit of custom models trained on proprietary data. Moreover, the discussion underscores the enduring relevance of both large and small language models (LLMS and SLMS), with predictions pointing towards potential dominance by major providers in the LLMS space, while SLMS are expected to offer a more diverse and potentially less regulated ecosystem. Overall, the article emphasizes the importance of staying abreast of these trends to leverage Generative AI effectively for enhanced productivity and competitiveness.

What readers will take away from the report:

• Companies are increasingly using Generative AI to enhance productivity, cut costs, and uncover valuable insights.
• Large language models (LLMS) are likely to consolidate around major providers, while small language models (SLMS) offer a diverse and potentially less regulated landscape.
• The article emphasizes the need for businesses to adapt to these trends to remain competitive.
• Insights into Generative AI's evolving role and its potential to drive innovation and efficiency in various industries.

Read report for free.

BOSCH Presentation: Transforming HR Streamlining Sick Absence Management with Intelligent Automation by Miguel Franco, IT Development Lead - HR Automation, Bosch

What you will learn about: 

Process Optimization in HR with examples of integration of different automation technologies as RPA, IDP and mobile applications

■ Set up: The “old process” and how it works now

■ Implementation: Integration of the different components, interface management and go live

■ Security aspects: Data protection and data split

■ Challenges and best practise: Merging automation technologies and optimizing a fairly complex process

Download the presentation for free.

Download a free copy of the presentation by BSH Home Appliances Group

What you will learn about in this expert presentation from the conference AIIA 2023:

An End-to-End ML Ops Pipeline – Practical Experiences - Broadening the Process for Value Creation

• Goal Setting: Fast TTM (time to market) or TTV (time to value), Quality Gateways, reliable prediction quality.
• Generic inhouse pipeline: modular, with easy to replace modules
• Process Management, governance and orchestration of modules
• Test, deploy, run, serve and monitor
• Use Cases: I4.0, Consumer IoT (Home Connect), and many other fields.
• Enable Data Scientists: Data Preparation and Management for ML Modell. Training infrastructure on demand

Eric Joachim Liese Lead Architect and Advisor for AI & Big Data, BSH Home Appliances Group

Dr. Rene Brunner Head of Study Programs Digital Technologies & Coding, Macromedia University of Applied Sciences | Founder and CEO, Datamic GmbH

Are you interested in more End-to-end presentations? Check out the AIIA 2024 Conference Brochure. For example:

CASE STUDY: BUILDING END-TO-END AUTOMATION FOR CUSTOMIZED PRODUCTS IN MANUFACTURING

• Reflecting on a Vista’s 15 year journey with end-2-end automation of customized product creation
• How analytics and self-service fostered a data-drive culture, and helped streamline manufacturing processes

    ✔   — 1200 data streams processing different sensor data

    ✔ — 9.5B JSON event messages per day

    ✔ — 3000 active looker users querying data mesh

    ✔ — 1900 active analytics API clients

    ✔ — >200k analytics session per day

• Reflecting on TOP3 analytical use cases around Predictive Maintenance, Shift Reviews and Inventory Optimization

Secure your seat now!

Scaling & Adopting IA in the NHS - Innovation and Intelligent Automation
How RPA Testing in Automation through years of experience are of use in Health, Patients, Clinicians and how the future will look - a presentation by Darren Atkins, CTO Intelligent Automation at the NHS.

Nico Bitzer, the CEO of Bots and People, is a passionate automation leader in the industry, responsible of an amazing company growth curve at Bots and People as well as helping other enterprises in their own automation journey. We were curious at how he is managing all that, so we didn´t only invite him to speak on our 7th Intelligent Automation & Artificial Intelligence conference in June, but also arranged a video interview with him for your consideration!

In this video our partner and exhibitor Futuroot is giving some insights into their solution, which is is backed and differentiated by the company’s profound experience in implementing, automating and optimising ERP systems like SAP for Fortune 500 organisations.

As an enabler for RPA, ML and AI, join our sponsor in the exhibitor's hall to find out how Process Mining can enhance ESG and ensure compliance.

In this Interview Anna Alechno, Global Process Excellence and Intelligent Automation Lead at Pepsico, outlines challenges, strategies and lessons learned on her automation journey. 

Prof.dr.ir. Wil van der Aalst is a full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. He is also the Chief Scientist at Celonis, part-time affiliated with the Fraunhofer FIT, and a member of the Board of Governors of Tilburg University. He also has unpaid professorship positions at Queensland University of Technology (since 2003) and the Technische Universiteit Eindhoven (TU/e). Currently, he is also a distinguished fellow of Fondazione Bruno Kessler (FBK) in Trento, deputy CEO of the Internet of Production (IoP) Cluster of Excellence, co-director of the RWTH Center for Artificial Intelligence. His research interests include process mining, Petri nets, business process management, workflow automation, simulation, process modeling, and model-based analysis. Many of his papers are highly cited (he is one of the most-cited computer scientists in the world and has an H-index of 167 according to Google Scholar with over 127,000 citations), and his ideas have influenced researchers, software developers, and standardization committees working on process support. He previously served on the advisory boards of several organizations, including Fluxicon, Celonis, ProcessGold/UiPath, and aiConomix. Van der Aalst received honorary degrees from the Moscow Higher School of Economics (Prof. h.c.), Tsinghua University, and Hasselt University (Dr. h.c.). He is also an IFIP Fellow, IEEE Fellow, ACM Fellow, and an elected member of the Royal Netherlands Academy of Arts and Sciences, the Royal Holland Society of Sciences and Humanities, the Academy of Europe, and the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts. In 2018, he was awarded an Alexander-von-Humboldt Professorship.

This kind of transformation can be challenging, requiring business leaders to adjust entire business models and introduce new technologies throughout the organization. As you might expect, progress is split. Many leaders know the changes they want to make but do not know which tools or technologies to leverage. Others have already implemented advanced technologies like robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML) to automate specific events and processes required to run their business.