Developing vs. purchasing AI solutions: Is there a silver bullet to success?

Buy or build is a fundamental and often not an easy decision in many software areas. For Data Science, in-house development used to be the usual approach, but now more and more pre-built and pre-trained models and services or entire an off-the-shelf ready to use AI solutions are offered for specific use cases and domains. The presentation will give a comparison and a market overview from BARC on both areas of Buy and Build – on the one hand the different segments of Data Science tools and platforms and on the other hand the AI solutions.


Dr. Carsten Bange, Founder and CEO @ BARC

Dr. Carsten Bange is the founder and managing director of BARC. He is one of the leading experts in the successful implementation of information technology for business intelligence & data management within the framework of the transformation to data-driven companies. As a neutral market observer he has been the coach & strategy consultant for companies of the most varied industries, frequent speaker at conferences, seminars and the author of numerous industry publications and market studies.

Alexander Rode, Data Scientist @ BARC

Alexander Rode is a Data & Analytics Analyst and Data Scientist at the Business Application Research Center (BARC). He advises companies on use case identification for data analytics / machine learning and on tool selection for advanced analytics. He conducts proof of concepts in the area of advanced analytics and gives data science and data literacy coaching. Alexander Rode is author of BARC market studies and research articles. He gives talks at conferences and conducts (in-house) seminars on behalf of BARC. He is largely responsible for the data management, data preparation and data enrichment of the BARC product and service overviews.