08:30 Networking

Coffee and gipfeli

09:00 Program Introduction

We will touch on 25 of the most strategic aspects of AI, not only at a high level. When needed to comprehend the enormity of AI’s impact, we also get into some details.

09:10 A new branch of knowledge your brain will need.

1. You know what financial controlling means, what a motor does, the impact of energy, what a supply chain is, what to expect from a sales forecast, how to leverage ChatGPT, Asset Management, Make or Buy, and possibly how to work with a spreadsheet – remember when you did it for the first time?
   It’s time to expand your horizon a tiny bit.
2. You don’t need to be an engineer to make strategic decisions about AI. And you don’t need to be an engineer to drive a car. But in both cases, you need to know how to set it in motion, learn how to steer, and know where the brake is.
3. AI is no Software. We begin this program by showing you what’s deep inside an LLM and what the mysterious hallucinations really are, in the same way that you learned that Earth is not a disk. You will learn that AI is not a software that takes data and spits back some results. AI is Artificial Intelligence that can be more creative than most humans, can reason across the entire human knowledge, and make complex relationships in seconds. We show you how and why even experts fear it.

09:30 Enterprise AI is far more than just technology.

1. Your IT team will be responsible for AI implementation, usage, security, assessments, management, and other related tasks. BUT:
   

   YOU CANNOT DELEGATE HOW YOU TAKE THE WHOLE COMPANY TO THE NEXT LEVEL BY LEVERAGING AI

2. Empowering teams of all levels. While Enterprise AI is, of course, built on technology, it is also, and foremost, an added intelligence for your business. Like you may have machines that compensate for the lack of muscle power and precision, you will now add intelligence that augments your team’s thinking and acting. It empowers employees to deal with tasks they never did before. A skilled labor shortage can be compensated in several areas; processes are amplified, repeatability and accuracy are enhanced. Reporting and planning tasks can be completed at night and reviewed, enhanced, or adjusted in the morning.
3. Imagine you run a company with 500 or 5,000 employees and, over the next 2 years, you will employ an additional 10 intelligent agents for each employee. That would be between 5,000  and 50,000 intelligent beings in your company. They are not little machines – they do intelligent work, and you should know. What path will you take to get there?
   All of this is not future – it exists today and has a proven track record.

10:15 Use Cases

We show you existing Enterprise AI solutions, their workflows across different departments, and how they work today.

1. SALES – We show you how an AI-driven sales process works, so that sales teams spend 80% of their time with customers and max. 20% of their time with sales administration. Why don’t they produce sales reports, make sales forecasts, and manage funnels anymore? It would have been impossible with conventional software systems.
2. INNOVATION – We show you how AI-driven autonomous innovation can complete the innovation process from ideation to blueprint creation and Go-To-Market in 4 hours, while the innovation team of the past would hold an introductory meeting, preparing for a 6-month process. Also, this is only possible with Native-AI Solutions.
3. COMPETITION – We show you how an AI-driven Competition Management System helps executives observe their market, competitors, and technology evolution in real time, make recommendations, and prepare for execution of a market response before you enter the office in the morning. Also, this would have been impossible with conventional software systems.
4. COMPLIANCE – We show you how teams do their compliance check before they get an approval, and the Compliance Manager can focus on difficult cases only. And again, this would have been impossible with conventional software systems.
5. EXECUTIVE SEARCH – We show you how modern executives are searched, evaluated, rated, and recommended using high-performance AI and deep research. AI became not only a technology that an executive can have in their organization, but also an evaluation of how well they did it.
6. AI USE CASE HUNT – If you look for use cases to start with AI, consider this. Your team will look for ways to leverage AI based on their experience with ChatGPT or other tools. Their experience limits their thinking; the output is limited accordingly, and the progress is most likely unsuccessful. We will discuss a methodical approach for AI USE CASE IDENTIFICATION.

11:30 Enterprise AI Platform Technology

1. What is needed to run a Native Enterprise AI Solution Suite?
   We show you what such a platform looks like, who will manage and use it
   We share real plans, real data, real numbers.

   An Enterprise AI Platform is far more complex than an ERP system. Yet far easier to use and manage.

2. How can productivity gain, usage, and user acceptance be measured and managed?
   We show you how it’s done, where the data came from, and real reports.
3. What does it take to implement, manage, and scale your Enterprise AI engagement?
   We share prerequisites, planning, and realization.
4. Why are conventional software provider locked down with their 50 million lines of code?
   We share the struggle of an existing company that only adds Agents to their massive solution.

12:15 Lunch Break

13:30 Enterprise AI Managed Service Providers (EAI MSP)

1. What Enterprise AI specialized MSPs provide, how they are helpful, and what you would still do yourself?
2. Enterprise AI spans a new “Agentic IT Layer” on top of your conventional IT.
   We share how it’s done, what it really means.
   This is how you are even better protected, and EAI MSP partners can manage it for you.
3. From CAPEX to OPEX, from fixed cost to variable cost.

14:00 AI Implementation Strategy

This is not your AI Business Strategy – but how you get it done.

1. Enterprise AI will become more important than IT or Manufacturing, because it will amplify and accelerate both, as well as operational excellence across all silos.
   

   Whether you have an AI strategy or not, you will want to have a strategic path to implement and scale it.

2. Using an AI Implementation Framework to create an EAI strategy as a competitive advantage.
3. Understand what resources, skills, budgets, timelines, and execution support you can expect for your business and how you move from piloting to production and scaling.
4. Some important business model considerations for a pay-per-use model with no user subscription and no application licensing.
5. Don’t start – set it in motion. No big bang – rolling thunder.

14:45 Upcoming BlueCallom AI Academy

Programs, audiences, formats

14:45  Q+A

15:00 Finish

We will be available for extended Q+A