BMW i Ventures announces investment in Trifacta

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BMW i Ventures is investing in data wrangling expert Trifacta. The new capital will accelerate the company’s continued expansion into new geographies and product areas, in particular enhancing BMW’s use of intelligent automation throughout the platform.

“As we face an exponential growth in big data – from machines in our factories to connected cars on the road – we believe that Trifacta’s data prep solution will be key to accelerating the feedback loop between the hordes of data produced every day and the types of insights and actions taken by large organizations. Trifacta’s toolset is key to harvesting the data lakes and is therefore an enabler when shifting to a truly digital organization,” said Marcus Behrendt, partner, BMW i Ventures.

With an exponential amount of data moving to the cloud, more data quality, preparation and pipeline workloads are moving there as well, creating a greater need to derive faster insights and deliver bottom-line business results. Organizations can no longer rely on legacy, siloed data integration processes to handle the speed, scale and diversity of today’s data if they are going to take advantage of the transformational business opportunities provided by the advent of artificial intelligence and cloud computing.

“AI, machine learning and analytics have become the primary growth opportunities for the cloud today. Yet it’s this meteoric growth that is causing barriers to success as AI projects overwhelmingly face the same problem – data quality,” Adam Wilson, CEO, Trifacta, commented.

“As a pioneer in data wrangling, Trifacta offers the leading platform for managing data quality, preparation and pipelines that is natively integrated with all of the major cloud providers. A growing number of industry-leading organizations, including technology pioneers such as IBM and Google, are choosing Trifacta to remove the critical barrier data wrangling presents to success with analytics and machine learning.”

Trifacta’s unique combination of human-computer interaction, machine learning and scalable data processing guides users through the process of exploring and preparing data. By democratizing the data wrangling experience, Trifacta empowers technical data scientists and engineers, as well as non-technical business analysts, to work beyond data silos to deliver quality outputs with greater efficiency to downstream analytics initiatives.

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Rachel's career in journalism has seen her write for various titles at UKi Media & Events within automotive, tire and marine. Currently editor of ATTI, her favourite aspect of the job is interviewing industry experts, including researchers, scientists, engineers and technicians, and learning more about the groundbreaking technologies and innovations that are shaping the future of transportation.

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