Domino Data Lab and Alexander Thamm Partner to Rapidly Scale Data Science in the DACH Region

Leading Enterprise MLOps Platform Provider Partners with Leading Data Science Consulting Firm to Accelerate Time to Value for Customer Model-Driven Activities in Highly Regulated Industries Across Germany, Austriaand Swiss

SAN FRANCISCO and MUNICH , July 27, 2022 /PRNewswire/ — Domino Data Labprovider of the leading Enterprise MLOps platform trusted by more than 20% of Fortune 100 companies, and Alexander Tham GmbH [at]a leader in the strategic development and implementation of data-driven innovations and business models in German-speaking countries, announced a strategic partnership and new joint service offering aimed at advancing data science at the current era of complex and ever-changing data regulations.

A new Data Science Journey Accelerator (DSJA) offering from the two companies will help customers Germany, Austria and Swiss gain a model-based competitive advantage faster by combining the Domino platform with [at]data engineering and data science consulting services. DSJA provides the foundations of enterprise-scale data science – open and flexible enterprise MLOps tools to meet the needs of data science teams and IT teams – validated by data experts [at] to meet privacy and IT architecture requirements.

While most companies understand the promise of data science, it’s hard to know where to start. Balancing business goals, organizational design, existing processes, current and future technology investments, all within the context of region-specific trends and stringent data regulations means that “best practices” for to do so are difficult to identify and track. A recent study According to the European market analysis firm BARC, 55% of companies have not yet deployed an ML model and only 10% consider themselves advanced in this area.[1]

“Siloed data and infrastructure represent some of the main reasons why high-performance ML applications are not yet the norm,” said Dr. Carsten Bange, CEO of BARC. “With a holistic data strategy and change management around infrastructure and processes, along with flexible data tools and MLOps that adapt to dynamic infrastructure needs, enterprises can more easily deliver high-level ML solutions. performance in a regular and efficient manner.”

Global leader in enterprise MLOps, local expertise in data science consulting

Domino’s Enterprise MLOps platform helps organizations become model-driven by enabling large, globally distributed data science and IT teams to work better together to develop and deploy more models faster. [at] has completed 1,500+ projects for 100+ customers across 5,000+ use cases, using proven consulting methodologies: benchmarking current data capabilities, developing roadmaps, designing operating models of data and execution of data science projects. Together, Domino and [at] aims to use Domino’s Enterprise MLOps platform to rapidly adapt data science solutions to customers operating in German-speaking markets and in key highly regulated verticals: automotive and engineering, financial services, insurance and life sciences.

“By adopting MLOps and working with MLOps platforms like Domino Data Lab, companies can build more models, innovate faster, and address more use cases,” said Andreas Gillhuberco-CEO and Head of Engineering for Alexander Tham. “We are very excited to work with Domino Data Lab, not least because we share the following mindset: it’s always about creating real value from data for the customer.”

Alexander Tham has built an impressive consulting practice for navigating cross-border data strategies and honing the art of scaling data science for some of the world’s largest companies,” said thomas robinson, Vice President of Strategic Partnerships and Corporate Development at Domino Data Lab. “Combining data science consulting with Domino’s leading enterprise MLOps platform provides a huge opportunity to help customers transform and scale data science in their operations by Germany, Swiss and Austria.”

A foundation for reaching data science scale faster

The new joint Domino and AT service offering combines the power of Domino’s Enterprise MLOps platform with by Alexandre Tham data science consulting expertise, tailored to meet some of the world’s toughest privacy regulations. Together, Domino and [at]DSJA provides clients with the key elements of a foundation for data science success:

  • Data Strategy Assessment – A workshop using by Alexandre Tham design methods to assess and develop a data operating model, covering organizational structure, processes, roles, data governance, and IT systems landscape.
  • Data Science Lifecycle Assessment – Using Domino’s methodology, this workshop helps uncover customers’ existing data science lifecycle and processes – from data to ideation, model development, model deployment and monitoring – to ensure alignment with current processes and challenges.
  • Business value assessment – A process to determine the financial benefits of Domino’s platform and [at]de, building a business case calculating return on investment, net present value, and payback period with benefits communicated to all stakeholder groups (line of business, data science, IT, operations).
  • Proof of concept – A program that implements specific customer requirements to clearly demonstrate value by successfully implementing a use case.

The partnership comes at a convenient time for customers, both those based in German-speaking countries and global organizations operating in highly regulated regions such as Germany. Domino’s recently announced Nexus Hybrid MLOps Architecture will provide enterprises with the flexibility to quickly scale, control, and orchestrate data science workloads across different compute clusters, eliminating silos between cloud and on-premises environments and preventing vendor lock-in. [at]expertise spans both data operations and the data science lifecycle, giving clients confidence that data science projects will balance German locality and data sovereignty requirements with future infrastructure investments.

About the Domino Data Lab

Domino Data Lab powers model-driven enterprises with its industry-leading Enterprise MLOps platform, trusted by more than 20% of Fortune 100 companies. Domino accelerates the development and deployment of data science work while enhancing collaboration and the governance. With Domino, companies around the world can develop better medicines, grow more productive crops, and build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, NVIDIA, Sequoia Capital and other leading investors. For more information, visit www.dominodatalab.com

About Alexander Tham

Alexander Thamm GmbH is a leader in the development and implementation of data-driven innovations and business models in German-speaking countries. The service portfolio covers the entire data journey – from data strategy to algorithm development and IT architecture construction to maintenance and operation. The company’s Data Academy offers training in data science, big data and artificial intelligence. Alexander Thamm GmbH was founded in 2012 by Alexander Tham and currently employs over 300 people. The head office is in Munich. Other locations are Berlin, Frankfurt, leipzig, stuttgart and Cologne. Customers include more than half of DAX 30 companies. Visit www.alexanderthamm.com for more information. Join us on LinkedIn: https://www.linkedin.com/company/alexander-thamm-gmbh/

[1] BARC, “Stimulating Innovation with AI: Getting Ahead with Dataops and MLOps” July 2022

SOURCE Domino Data Lab

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