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Cloud1 toimitusjohtaja kuvassa, jossa pitelee kahvikuppia.
News

CEO's Review of 2023

In 2023, Cloud1 achieved significant milestones, as the record-breaking month of September would suggest. Read more about Cloud1's CEO's review of 2023.

Block chart illustration with progressively rising bars in cloud-patterned shades of blue, symbolizing Cloud1's steady revenue growth while emphasizing human connections in the world of data and technology.
News

Record Month Proves Cloud1 is on the Right Path

Explore Cloud1's journey to reshaping the IT industry with a customer-first approach. Celebrate our record month in September 2023 and discover how innovation and Azure fuel our growth in a volatile market.

Future workplace - sertifikaatti logo 2023
News

Cloud1 is Future Workplace Certified

Vuonna 2023 Cloud1 sai arvostetun Future Workplaces -sertifikaatin, tunnustuksena erinomaisesta yrityskulttuurista ja työntekijäymmärryksestä. Cloud1:n eNPS-indeksi oli erinomainen 59.

Entangled in strategies
Blog

Entangled in strategies

Have you ever noticed that when you ask about data strategy, you sometimes receive a response about digitalization strategy instead? This can be confusing and frustrating, as it may not address your original question. Misunderstandings can easily happen when discussing complex concepts, even among professionals in the same field. Communication is challenging, and it's crucial to establish a shared language to ensure clarity. As data professionals, we often need to clarify terminology with business partners, even if we have experience in their industry. Organizations may use different terms to refer to common concepts, adding to the confusion. This is particularly true when it comes to data and digitalization strategies. To avoid further misunderstandings, it would be helpful to have concise descriptions of both mentioned strategies to guide the conversation in the desired direction.

Enhanced data profiling with AutoML
Blog

Enhanced data profiling with AutoML

Data profiling is one of my all-time favorite data development tools. A few years ago, I got to know the Pandas Profiling Python library, which does so much of the work that I previously had to do manually, mainly using SQL and Python. Data profiling can catch a wide variety of problems, but if the cause-and-effect relationship is not simple, it is not useful for a deeper investigation. The cause of the problem often has to be dug up more or less manually after profiling. So, I set out to investigate whether ML and the technologies used for its development, could somehow help me in finding the causes of quality problems.

Azure Open AI GPT-3 model first impressions
Blog

Azure Open AI GPT-3 model first impressions

I don't recall such hype from a single technology during my career that Open AI’s Chat GPT has made. As a regular person, I am just as into that hype as the next person. But for it to revolutionize the data industry. Well, for that we might still have a bit way to go. On that path, however, the Azure Open AI is a hefty step in the right direction. Here is a story of my first impressions trying to utilize the new service offering. I wanted to do a text analysis that would, instead of just picking up words, use some kind of intelligence to categorize the inputs. So, I started to think and search for a data set that would be relatable and would make a simple use case. Song lyrics would be perfect, right? How little did I know...

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