The international technology group Körber focuses on the development of AI-driven visual quality control for the pharmaceutical industry. Therefore, Körber has teamed up with Silo AI, one of the largest private AI labs in Europe, to accelerate the development. Körber Digital is currently the largest company builder for manufacturing efficiency in Germany.
Together with Körber, Silo AI has developed a visual quality solution for inspection machines to control the quality of Covid19 vaccine ampoules.
In line with past years, this year has been a period of accelerated learning, execution and growth. I want to express my deepest gratitude to all of our clients, partners and the entire Silo AI team for the great collaboration in 2021! Despite yet another year impacted by the pandemic, we’ve been able to progress with business as usual: taking care of each other and our customers. In times of growth, what makes me most proud, and depicts our strength as a team, is to see how we’re embracing the core of Silo AI, our values: be good, build bonds, ask why and keep learning.
Finland has the largest number of companies utilizing artificial intelligence in the Nordic countries. Silo AI, one of Europe’s largest private AI laboratories, today published the first comprehensive market review
At Silo AI we have worked on customer projects from 8-bit and 32-bit microcontrollers to advanced SoCs with dedicated machine learning accelerators. While each of the customers’ case is different and platforms have different toolchains for optimal deployment, the basic AI development flow follows similar steps:
Silo AI expands with the opening of a new office in Copenhagen, Denmark. Having a well-established foothold in the Nordics, with a team of about 100 PhDs and close to
Silo AI and UNAIDS, the Joint United Nations Program on HIV/AIDS, collaborate to build an AI-driven solution to make data collection and analysis more efficient. As a result, Silo AI built an assistant that finds and summarizes relevant paragraphs from the source data as well as combines numerical data from various sources into a single source. The pilot project indicates that such a solution based on Natural Language Processing (NLP) and automated data processing can save an estimated 30–40% of time spent on data analysis by individual experts.
In this article, I’ll shed a light on what are the ready-made configurable components in the area of Cloud AI & MLOps that we have built to speed up AI
Perhaps the most important lesson to be learned with AI/ML is that individual experiments and projects are educational, but they do not lead to business. An organization moving towards scaling
Platforms thrive on the network effect, i.e, every new user creates value for other users of the platform. With data and AI, the network effect becomes even stronger. AI enables platform companies to learn faster than the competition, creating a virtuous circle.
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