AI for Business Archives

Welcome 2022 & highlights of the past year

Peter Sarlin 20.12.2021

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.

The first report on the state of artificial intelligence in the Nordic countries was published today: world-class readiness for artificial intelligence

Pauliina Alanen 9.12.2021

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

AI on the edge: machine learning in restricted environments

Jukka Yrjänäinen 26.11.2021

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

Pauliina Alanen 12.10.2021

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 United Nations collaborate to fight AIDS with NLP and automated data processing

Pauliina Alanen 7.10.2021

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.

Scale your AI processes with Silo Operating Software

Jukka Remes 22.9.2021

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

From experimentation to standardized MLOps workflows: concrete cases

Mia Jokiluhta 20.9.2021

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

Helping industrial companies to implement AI for the key R&D projects

A powerful platform strategy requires data & AI

Tero Ojanperä 9.9.2021

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.

Silo AI to offer modular solutions for industrial AI with Intel

Pauliina Alanen 13.8.2021

Silo AI offers a modular AI-powered Visual Quality Control solution for deploying AI workflows on Intel® hardware. The solution runs on edge devices and can be deployed on the hardware and cloud infrastructure of choice.

Core technical principles for fusing sensor data with deep learning

Nico Holmberg 10.8.2021

Deep learning-based sensor fusion for situational awareness is a notably different approach from classic mathematical modeling. While the underlying core tasks of perception, prediction, and planning remain the same, deep

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Topics: AI for Business