Vladislav Nenchev is a Senior AI Engineer, specialized in natural language processing, mathematics, software development, and architectural design. Vladislav is a solid AI expert who comes with two decades of
An embodied AI system can actively perceive the world around them in order to gather information through sensors such as vision, process this information on different cognitive levels, both autonomously and in interaction with a human, and finally make plans or decisions based on the outcome. In the autonomous vehicle case, the internal processing consists of planning future driving actions in interaction with the surrounding world and possibly also with a driver.
I worked as a Solution Architect in building an MLOps platform that is offered as a service and aims to be the backbone for most of the ML operations running
The largest private AI lab in the Nordics takes the next step on its growth path and extends to Finland’s third-largest city, Tampere! With several clients and several employees in the region, Silo AI strengthens its presence in the area that’s also home to many leading industrial companies.
The overall goal of MLOps is to make the process of productizing ML models smoother. MLOps applies the DevOps techniques, concepts and practices to machine learning systems with an increased demand to take care of aspects around the activities, such as data versioning, data lineage and data quality. MLOps responses to an increased need for model observability and monitoring model performance.
Silo AI expands into industrial optimization by acquiring the business of the technology consulting company FINNOPT. The acquisition strengthens Silo AI’s ability to create value to its global clientele in Industry 4.0 and autonomous vehicles, among others.
Machine Learning is defined by a need for rapid experimentation. To achieve an environment of fast, iterative and low-risk experimentation, both hard aspects (tools and platforms) and soft aspects (culture,
Barbara Heikkinen joins Silo AI in Palo Alto to develop smart health and bring AI to life sciences and healthcare
We asked our Head of AI Solutions Alexander Finn to sum up the signs that indicate the need to start building a full-blown MLOps infrastructure and processes. Alexander is an
Machine learning operations, MLOps, is the organizational practice for operationalizing AI and accelerating ML development in a sustainable way. Once you’ve validated a couple of AI use cases by pilots and proofs-of-concept, scaling the development and the use of AI in your organization will require both a solid machine learning infrastructure and an aligned way of operating.
“We have good quality data” is a phrase spoken by most organizations. Theory and practice differ, however, as Validio approaches data from a different perspective: all data is flawed by
Our Lead AI Scientist Hedvig Kjellström has been dedicating her academic career for researching the interface between humans and robots, observing how computer vision can help machines understand humans better in terms of what we say, how we gesture and how we move.
The future of the papermaking process is data-driven. This can already be seen today in the collaboration between Kemira, the global chemicals company serving customers in the pulp and paper industry, and Silo AI, the largest private AI lab in the Nordics. The two companies are today announcing their collaboration, which has already resulted in a predictive AI-driven solution taken into production in board and paper production.
We at Silo AI have worked closely with our customers for the past three years to understand how AI can make a significant impact. There is no silver bullet, but we have identified four principles that set the foundation for a successful implementation of AI.
Removing the background with an unmatched quality – How Kuvatilaus.fi and Silo AI use the latest methods in computer vision for flawless results.
Anna Mossberg is Silo AI Sweden’s new Managing Director. Anna is an experienced business leader and a digital transformation professional, who has a strong background in driving digitalization initiatives in telecommunications and finance.
Predictive maintenance is a concept everyone talks about, but few are actually applying. Wärtsilä, an industry leading martitime & energy sector technology and power source company, executes a data-driven strategy
Machine learning for predictive maintenance can provide a detailed risk assessment of potential failure events, and highlight situations with elevated risk. Combine it with a network of IoT sensors in your mission-critical equipment and 5G connectivity, and you’ll be on your way towards more reliable operations.
Our Lead AI Scientist at Silo AI Sweden, Professor Slawomir Nowaczyk, has been working with the Volvo Group in Gothenburg, building machine learning-based self-monitoring systems trucks and buses.
Among the most interesting management frameworks of AI development is the emergence on internal AI Centers-of-Excellence. Husqvarna is a Swedish global industry leader of power products and robotics, with a
We’re excited to get Kai Knuutila join our team as a Lead AI Solutions Strategist. Kai is a long-term digitalization and technology professional, with experience in leading teams in multiple technology areas ranging from software, hardware, semiconductors to IoT, wearables and AI. With a solid work experience of 22+ years, of which 17 spent at two technology giants Intel and Nokia, Kai is an experienced senior technology strategist and advisor.
Silo AI Sweden gets a strong addition to the team as Professor Slawomir Nowaczyk joins us as a Lead AI Scientist. Slawomir is also a Professor in Machine Learning at the Center for Applied Intelligent Systems Research (CAISR), School of Information Technology, Halmstad University, Sweden, and an experienced researcher in machine learning.
Webinar recap: Computer vision for situational awareness.
KTH Royal Institute of Technology’s Division of Robotics, Perception and Learning is among the most renowned AI research organisations globally. Hailing from Stockholm, Sweden, we are joined by Professor Hedvig
Dmitry Kan is a Lead AI Scientist in our Helsinki office, who can be described as a technical leader, founder, software engineer, researcher and entrepreneur.
Document understanding means extracting useful information about the document, and with a model called LayoutLM, it is possible to take into account both textual content and its structure as well as the visual aspect of the document.
Finnish AI Accelerator is the national support entity for Artificial Intelligence, accelerating Finland’s adoption of AI in both the private and public sectors. In October 2020, FAIA released a report
To better serve our international client base, we’re next year focusing on building out AI labs in new markets, with Teppo Kuisma as our lead for internationalization. Teppo joins us after having spent a few years in the Bay Area, and is now focusing full speed on building new sites to create valuable long-term partnerships to better serve both new and existing international clients.
Hedvig Kjellström, Professor at KTH, is joining Silo AI Sweden as a Lead AI Scientist, with a focus on computer vision-driven solutions. Hedvig holds a PhD in Computer Science from KTH, with the topic of her doctoral thesis focusing on 3D reconstruction of human motion in video.
Together as part of a larger initiative, Auria Biobank and Silo AI use computer vision to analyze digital pathology images of tissue samples from one of the most common skin cancers. The goal is to find cues that would help clinicians to assess the risk of metastasis.
On our continued growth path, we’re excited to have reached two milestones at Silo AI. In addition to our three-year anniversary, we’re also celebrating that our company is reaching a
Public speaking is perhaps one of the most complex human skills to master. MySpeaker, a leading Nordic speaker and communications bureau, partnered with Silo AI to build a reinvented public
What are the paths and pitfalls in taking AI into production? How do you turn the first success into the next three? Taking an AI solution into production requires a
We’re thrilled to have Roope Suomalainen join us as part of our Business Development team. At Silo AI, Roope will be looking after business development particularly within the telecommunications and
In 2020, we’ve had the pleasure of welcoming new colleagues to Silo AI almost every week. In total, we’ve already had close to 50 new colleagues join us this year!
The multinational technology company Huawei and the Nordic AI service and solution provider Silo AI are today announcing their collaboration on joint AI solution offering. The two companies provide advanced
As part of Finland’s AI Accelerator FAIA, Silo AI, together with the Ministry of Economic Affairs and Employment of Finland, Technology Industries of Finland, research organization FCAI, Business Finland and
Peltarion is one of the leading star companies of Nordic AI, building an operational AI platform that seeks to make AI accessible to not just AI scientists, but to a
Ruijing is a machine learning and AI expert with a strong academic background particularly in computer vision. At Silo AI, Ruijing works as an AI Scientist, focusing on computer vision and deep learning-powered solutions.
YLE, the Finnish National Broadcasting Company, is a well known industry leader in digital media experiments and technological innovations. As such, YLE has been among the first in Europe to
Join 3100+ subscribers who read the Silo AI monthly newsletter
Contact Information
+358 40 359 1299
info@silo.ai
Contact Information
+358 40 359 1299
info@silo.ai
We use cookies on this site. By continuing use, you consent to the use of cookies. See our privacy policy for more information.