Scaling AI in Companies
The reference book for CIOs, CDOs, and IT managers
From Experiment to Company-Wide Impact: A Practical Guide to Scaling AI
In many companies, the potential of AI is undisputed. And yet numerous initiatives remain at the stage of individual use cases or isolated flagship projects. The reason for this is rarely a lack of tools or algorithms. The real challenge lies in designing AI holistically as a management, organizational, and governance issue.
For CIOs, CDOs, and IT managers, this means that AI requires a clear vision, defined responsibilities, viable governance structures, regulatory certainty, and the active involvement of the organization and employees. Only then can real value be created.
This reference book addresses precisely this issue.
A Reference Book - Not a White Paper
This e-book from Arvato Systems closes the gap between technological vision and operational reality. It is aimed at decision-makers who not only want to introduce AI, but make it effective in the company.
Instead of abstract visions of the future, you will receive a structured framework, proven process models and concrete recommendations for action to anchor AI sustainably in your organization.
What You Can Expect in the Reference Book
The 7 cornerstones of AI scaling
A clear framework that shows which elements need to work together for AI to go from pilot project to widespread use.Data & AI Governance as a 7-step plan
From roles and responsibilities to processes and decision-making structures - described in an understandable and practical way.Operating Model for Scalable AI
How organization, IT, business departments and management work together in a meaningful way to operate AI in the long term.Governance, Compliance & Regulation
How to consider regulatory requirements, transparency and traceability right from the start.Bonus chapter: AI Security
Security as a prerequisite for scaling - not as a downstream measure.Change Management & Enablement
Create acceptance, build skills, manage expectations.Bonus: Dealing with the works council
Pragmatic approaches to create trust at an early stage and avoid blockages.Checklists, frameworks & specific recommendations
Directly usable for your own AI and IT strategy.
Who Is the Reference Book For?
This reference book is aimed at IT managers and decision-makers who bear responsibility for AI and are looking for more than individual technological solutions - in particular:
CIOs, CDOs and CDTOs
IT Managers and Enterprise Architects
Person responsible for Digital Transformation, Data & Platforms
Whether you are at the beginning of your AI initiatives or have already implemented your first projects: This book will help you create structure, clarity and scalability.
A look inside the book
Take a first look at the publication and get an impression of the structure, depth and methodology.
Take Advantage of This Opportunity to Future-Proof Your Business!
Get the full textbook as a PDF and benefit from in-depth expert knowledge, field-tested models and a clear framework for successfully scaling AI in your organization.
Dr. Alexander Roth
Dr. Alexander Roth has been helping companies maximize the value of data, automate business processes and sustainably integrate innovations into the organization for over 15 years. Together with his team, he supports organizations in the introduction, scaling and Governance of data & AI solutions in the context of digital transformation.
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