Who's an AI Business Partner?
The AI Business Partner is a person who understands both AI technology and business processes deeply enough to be able to mediate between the two worlds.
Someone who can listen to business problems, understand the economic rationality behind them (or the established organizational irrationality) and can make proven technological recommendations for the organization.
Someone who follows technological innovations and can judge when it is worth rethinking business processes along the lines of available developments.
Someone who can assess the organization's AI maturity even at a strategic level and helps to plan operational steps from data asset management to competence development and to the establishment of AI governance.
Someone who helps create customer specifications, can negotiate with technology suppliers, and is able to help the organization implement specific technologies.
The AI Business Partner is at the intersection of three roles:
An AI business analyst can ask questions until a business need becomes clear enough to find a technological solution, in that respect he/she is like a business analyst.
An AI implementation consultant can plan the organizational implications and structural prerequisites of technology implementations (roles, competencies, processes, budgets, architectures, change in processes).
An AI evangelist can constantly keep up with technological changes, assess their relevance, translate them into a language that is understandable to the organization and promote and inspire their use.
By unifying these three, the AI Business Partner can support organizations to see through the hype surrounding AI technology and make the best use of the available results.
Why is AI Business Partner competence beneficial for organizations?
One of the main components of organizational competitiveness is the ability to adapt to technology: how quickly can each organization find, digest, and implement continuously emerging AI technologies? However, every organization has the need to determine whether there is technology available that can bring about radical breakthroughs specific to their uniqueness, their specific processes, and their technological background. (In general, there is.) We are looking for technologies that genuinely contribute to efficiency. This means generating more revenue, achieving the same results with less costs, or, more commonly, at approximately the same level of cost, we can significantly increase the quality of products or services to remain competitive.
AI brings countless examples in every field, but it requires an individual responsible for identifying, selecting, and implementing these technologies. In many organizations, these responsibilities are merely assigned to someone without providing them with the necessary toolkit.
In the AI Business Partner education, we provide specific skills for fulfilling these responsibilities.
Who should join the AI Business Partner training?
Who is this for?
For internal or external business/organizational development consultants who would like to offer the opportunities provided by artificial intelligence to their internal/external clients
For technologists, technology consultants, who feel the need to understand the impact of AI on business processes
For colleagues responsible for internal innovation/data management and business intelligence, who would like to specifically complement their portfolio with the opportunities presented by new AI trends
For professionals working in specialized business areas (e.g. marketing, sales, customer service, manufacturing) who wish to deepen into the AI possibilities in their own field and are open to exploring other areas as well
Who is this NOT for?
For those seeking data scientist/AI developer training: this is not a technological training, there are excellent other options for that
For those seeking prompt engineer training: although we will learn many generative AI control techniques (prompting), but the training's goal is not to make participants experts in this field
For those with no leadership/consulting experience: we won't be able to teach the art of leading, inspiring, and motivating people, but we can add the AI-specific aspects to it
For those averse to technology: while programming knowledge is not required for the training, there must be a willingness to familiarize oneself with the technology
For those averse to dealing with people: if you believe that "there are so many good technologies, and the problem in the world is that people use them," then this might not be the right place for you. Technologies are only as good as humans can use them, and here we will focus on (imperfect) human users and organizations, not (just) the possibilities inherent in the technology
WHAT DOES THIS EDUCATION INCLUDE?
The training is built around 4 main pillars: technology, business, organization, and society
Artificial Intelligence has been delivering results long before generative AI technologies. It is essential to understand the fundamentals of AI (machine learning, deep learning, data requirements, training process), the different basic types (supervised and unsupervised learning, reinforcement learning), and be familiar with related IT fields and architectures (data warehouse - data lake - data mesh, microservice architecture, IoT, Big Data Management, robotics, data science, cybersecurity). Building on this knowledge, one can comprehend the emerging ecosystem (generative AI engines, plugins, apps, orchestrators).
The aim for participants is to:
Be confident in negotiating basic concepts, efficiently use AI-based tools, and know when and what type of experts to involve in discussions
Possess a framework that enables them to continuously monitor the rapidly unfolding advancements in AI
The purpose of the business pillar is to understand, through numerous case studies, what technological solutions can be provided for various business problems and, most importantly, how the transformation from a business problem to a technological solution occurs as a human process. We will explore three major business processes (sales-marketing, customer service, HR) and three important industries (banking, manufacturing, pharmaceuticals). Throughout, we will examine various application areas, typical decision points, specific implementations, and returns on investment.
The goal is for the participants to:
have an extensive collection of case studies, allowing them to develop analogical thinging and a strong sense of reality within specific organizational contexts.
be able to facilitate conversations that can effectively assist the business specification process, reducing task complexity by prioritizing elements of business needs.
The organizational pillar's aim is to position individual opportunities within the context of a specific company. To achieve this, we will use an AI organizational maturity model developed over the years, which divides organizations into 6 levels of AI capability and examines organizational development across 8 dimensions and 32 sub-dimensions. This approach provides a comprehensive view of factors that influences the development of AI technology usage in organizations, ranging from data asset management, addressing the build-or-buy dilemma, formulating strategic focuses, to managing the change process.
The goal is for participants to:
assess an organization's AI usage maturity and recognize the inertia of this stage that determines a certain pace of development. Based on this assessment, they will be able to make recommendations concerning specific projects.
continuously identify opportunities within each dimension and understand the interdependencies between dimensions. This will enable them to inspire and steer larger implementation processes effectively.
The training does not aim to address all the social dilemmas raised by the development of AI. However, its goal is to provide an overview of the most important social and existential philosophical questions that constantly emerge in relation to AI implementations. How will it impact the job market? How should it be regulated, and where are we in terms of regulation? What dangers does it pose concerning elections, media, social destabilization, and warfare? What is general artificial intelligence, and where do we stand on the path towards it? What questions does the development of general artificial intelligence raise, and what efforts are being made to keep it in line?
These questions arise even in the most business-oriented discussions, and it is both our human and expert responsibility to be informed about them.
The goal is for participants to:
understand the broader social issues and debates surrounding AI and be able to ground these discussions.
deal with these questions in an integrated manner in business projects, making them forward-moving and motivating without “sweeping them under the rug” with false pretences.
For the past 6 years, we have been providing trainings with a similar agenda to Executive MBA and post-experience master students at the Frankfurt School of Finance and Management. This training encapsulates and enhances our experiences, considering the demands and opportunities of the post-ChatGPT era, while being tailored to the context of Hungary.
For the past 12 years, he has been involved in artificial intelligence, with the last 6 years spent teaching AI business applications at the Executive MBA and master's levels at the Frankfurt School of Finance and Management. His unique background includes a degree in economics and a career start as an organizational developer, providing him with significant insights into organizational dynamics. Later, he founded a startup where they focused on AI development applicable to organizational development (knowledge management). This disruptive thinking laid the foundation for scalable solutions and provided a realistic understanding of the challenges of building a company. As a third major milestone, alongside his consultant jobs, he served as the first professional leader of the Hungarian Artificial Intelligence Coalition, coordinating the creation of the AI national strategy. This experience offered a broad perspective on societal and economic issues, ranging from the labour market to national data asset management and regulatory matters.
As a consultant and a manager, his specialized areas include artificial intelligence, specifically deep learning, cognitive sciences, and data science. He is a true "Startupper" and a former CTO. Additionally, he serves as a lecturer in master's and executive education programs at the Frankfurt School of Finance and Management. As a speaker, he has a particular interest in Buddhism, comparative religion, and cognitive sciences.
Managing Director, Co-Founder at Neuron Solutions
Gyula is an experienced leader and strategist with a strong engineering background. He co-founded Neuron Solutions and played vital roles at Telenor, including establishing a shared service center and contributing to corporate strategy and service development.
founder of Info/Cybersec, Trends, Buzz & Networking (ITBN)
From a cybersecurity perspective, AI is similar to a swift, super-intelligent, coordinated group of humans. Therefore, it is crucial for us to comprehend how we can ensure the protection of our data and prepare for the types of attacks that may arise due to new technologies.
Group Head of Data Analytics
MOL Group Consumer Services
Over the past 5 years, MOL has been developing its data integration and analytical capabilities, gaining valuable insights into data analysis, data integration, and business process reorganization in the retail sector. The leader of MOL's data analytics team will discuss this.
In the field of AI technology and AI implementation, further distinguished representatives are being invited.
With the Recommendation
of the HR Network!
AI literacy and skills, or AI-related competencies, will provide new momentum to economic competition – through prepared professionals, a company's advantage will yield further business benefits. To achieve this, HR support will be necessary to facilitate the development of organizational capabilities that enable this competitive advantage. An important element of this development will be the AI Business Partner competence.
From an HR perspective, professionals have numerous opportunities ahead: recruitment strategies need to change, retaining the workforce, building an employer brand, and organizing internal communication differently. In the future, AI will be capable of handling more complex tasks, such as responding to employee inquiries related to HR, like sharing payment data, or assisting in the selection and training process.
Businesses need to understand the advantages and disadvantages of AI before implementing the technology, and this training, proudly supported by the Hungarian HR-Network Association, provides essential assistance in this regard.
Katalin Bus, Vice President and
Balázs Pinczés, President
What does the education look like?*
How much does it cost?*
For company registration: HUF 1.190.000 + VAT/early bird price until 1st September: HUF 990.000 + VAT
For individuals: HUF 990.000 + VAT/early bird price until 1st September: HUF 790.000 + VAT
How can you apply?
After filling out the registration form below, we await your motivational letter and CV at email@example.com
Before the education starts, we will have a conversation with each participant to discuss their expectations and how much we recommend the training for them.
Adult Education Registration Number: B/2020/001087
These dates and details are referring to our Hungarian language education. If you are interested in an English language course or a training tailored to your company, send us an email to firstname.lastname@example.org and we will contact you with the opportunities