Data Science, ML & AI: Unleashing the Power of Data with AI

Leverage Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to gain valuable insights from your data, optimize business processes, and create new business models. When applied methodically, these technologies optimize business processes, automate decisions, and enable the implementation of new, data-driven business models.

The Challenge

Identifying profitable use cases amidst the hype

The Paradox of Endless Possibilities

The hype surrounding AI, intensified by mainstream Generative AI, has created a paradox of endless possibilities. However, this has not translated directly into business value. Many companies do not know how to use these technologies profitably because they are unable to identify relevant use cases and provide the necessary data to use them effectively.

Our research confirms this fundamental challenge: a BARC study of 370 data experts found that 45% cite poor data quality as a primary obstacle to success in AI initiatives. The potential for increasing efficiency is huge, and the range of possibilities seems endless. This creates equally endless questions for organizations about where GenAI can truly make a difference, and how to move beyond experimentation to systematically generate business value from its data science initiatives.

The ideal

Using data science to realize the full potential of your data

A methodical approach is a prerequisite for success

It is essential to approach AI initiatives methodically rather than haphazardly. While the technology is in flux, the prerequisites for success are clear. A sound knowledge of ML fundamentals is a critical starting point, but the challenges extend beyond technology.

In addition to building a suitable Data & Analytics architecture, organizations must ensure that the interaction between data science, business, and IT can release synergies. In addition to building a suitable Data & Analytics architecture for providing quality-assured data, organizations must ensure that the interaction between data science, business, and IT can release synergies. Appropriate communication and sensitivity in change management are of paramount importance in this process.

How BARC Helps You Succeed

As independent analysts, we provide expert guidance through the complexities of the current AI landscape. With our support, you will understand the necessary requirements, identify relevant use cases, and conduct successful Proofs of Concept (PoCs) with a clear path to operationalization. We work with you to integrate your data science, ML, and AI initiatives into your corporate strategy, placing them on a solid foundation for success.

BARC’s consulting services for Data Science, ML & AI are built upon the daily experience of our analysts in enterprise projects.

In confidential expert workshops, coaching sessions, or in-house consultations, we translate your company’s unique requirements into future-proof decisions. We’ll accompany you in successfully leveraging data & analytics, starting with strategy and down to streamlined data-driven business processes.

Explore our related services, or  contact us directly for a consultation.

Related Services & Expertise

Data science kick-off for business users
Hands-On Data Science: A practical introduction
Data Science Strategy & Organization
Architecture and software selection for data science
Operationalization of data science
Data Culture Workshop
Improving Data Literacy in Your Organization

What our customers say about us

Read our customer success stories to find out how we help our customers achieve their goals.

As a first-time participant in the DATA Festival, I was positively surprised by the number of meaningful interactions. I can’t decide on what I enjoyed more: questions from the audience after every session, discussions with speakers after a talk or those deeper insights shared over lunch

Ivica Kolenkaš

Data Platform Lead, bestseller.com

The DATA Festival was very interesting and offered relevant presentations for every taste (technical experts, business users, C-level). I particularly enjoyed the technical presentations, which explained in detail how specific AI models were successfully implemented. The sessions provided in-depth insights into data architectures, data organization, and technologies currently in use.

Laura Boss

Business Intelligence Architect, Thales Deutschland

We had the pleasure to have Jacqueline as our keynote speaker for our internal Data Science Conference uniting the international community of data enthusiasts at Boehringer Ingelheim. Jacqueline highlighted the potentials and recommendations to implement Data Mesh in corporate environments. Reflecting on the high importance of innovation for the pharmaceutical industry and Boehringer Ingelheim in particular, I can only emphasize the excellent quality of her presentation and in-depth knowledge reflecting the expertise BARC is commonly known for.

Heiko Merten

Head of Data Science Academy & Product Teams, Boehringer Ingelheim

The data festival was great, very nice atmosphere, very interesting presentations. I really appreciated the event.

Sahar Changuel

Data Manager, Société Générale

I enjoyed participating in the DATA festival and learning from the various peers in the industry. Great organisation. Looking forward to more events.

Fahd Lemhaider

Analytics Manager, MILES Mobility

It was an exceptionally awesome experience for me to be part of the DATA festival last month. I had a wonderful time catching up on and learning new techs currently on the market in the field of data. Moreover, it was very interesting to listen to speakers from various companies with their user cases on how they are coming up with Business Solutions through exploiting of these technologies. Overall, it was simply awesome to be there, and I would certainly not want to miss such events in future. I have already registered for the one in October (the online one – really looking forward to it).

Brian Kamanga

Business Intelligence/SQL Developer, Daimler Truck AG

DATA festival #online was great – the topics were very interesting, the speakers were well mixed, and the platform itself was also very intuitive.

Tiankai Feng

Head of Product Data Governance, adidas

It was my first time attending the DATA festival. For me it was a great opportunity to get to know people in the data area and exchange interesting thoughts about data in various fields. My takeaways are the connections I made that day and the valuable insights of the attending suppliers and speakers.

Marvin Adams

Executive Director Application Development & Data Management, NürnbergMesse GmbH

This was my first time at the DATA Festival. As a marketing manager, I had some reservations, but the mixture of overview talks, exciting panels, deep dives and a really extraordinarily friendly audience absolutely convinced me. The keynote was inspiring and the deep dive on the topic of rain forecasting was simply unbeatable. Great. Gladly again immediately!

Sebastian Zahn

Marketing Manager, Penguin Random House Verlagsgruppe

I have been using the Trend Monitor for years to show my students what is happening in the business world with data, BI, and analytics. I also use the data directly, using the top trends to discuss key issues and challenges, as well as the background to the buzzwords.

Prof. (FH) DI Dr. Heidi Weber

Lecturer, Vorarlberg University of Applied Sciences

This year’s DATA Festival’s theme was particularly relevant. How to make data analytics and AI truly impactful is one of the things that keeps me up. I enjoyed the panel discussion as we uncovered many similarities as well as differences in the way we approached this topic. It was great as we bounced off each other’s ideas.

Sebastian Hentzschel

CIO, BMG

These companies trust us

Our experts

View profile

Alexander Seeliger

Analyst Data & Analytics, Data Scientist

Alexander Seeliger identifies the potential of AI for you and helps you to make the best possible use of it.

View profile

Douglas Laney

BARC Fellow

Douglas Laney is a renowned thought leader and advisor on data, analytics, and AI strategy.

View profile

Dr. Carsten Bange

Founder & CEO

Dr. Carsten Bange is the founder and CEO of BARC.

View profile

Gernot Molin

Fellow & Senior Analyst

Gernots focuses on the architecture of enterprise-wide, cloud-based data platforms that efficiently deploy integrated data and AI/ML algorithms.

View profile

Merv Adrian

BARC Fellow

View profile

Shawn Rogers

CEO BARC US

View profile

Thomas Zeutschler

BARC Fellow

As an analyst and technology expert, Thomas supports his clients in adapting modern data & analytics concepts and technologies and in developing data-driven processes and business models.