Deep Research Agents: Transforming Information Work
Research agents are revolutionizing knowledge work by providing in-depth, source-referenced analyses with ease.
NorrInsights
Blog
AI agents at work – how an AI agent is transforming work
How is an AI agent changing everyday work? When AI becomes a colleague, routines decrease while creativity and productivity grow.
Blog
An impossible equation formed in the IT sector – "staff-hours are bought for a 40 000 euro job at the cost of 200 000 euros”
Cloud1 asked its customers what they expect from their IT partner. Based on the answers, consultants are increasingly required to develop the business-oriented skills of the customer's organization, staff, and top management. I argue that the current prevailing way of selling does not responsibly meet this need.
Blog
Meeting Business Needs with Power Platform Tools
Cloud1:n blogipostaus kertoo tavoista vastata liiketoiminnan tarpeisiin Microsoftin Power Platform -työkaluilla.
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.
Blog
Cloud1 Conducted Customer Listening Sessions in Collaboration with Tarja Lähdemäki
Cloud1 toteutti asiakaskuuntelut yhdessä Value Insights Oy:n ja Valoa Digital Oy:n kanssa.
Blog
Leading Sustainability Reporting in 2024
Explore CSRD impacts and prep with Sanna Uusimäki in our blog. Learn how Norrin aids in this crucial transition with data handling.
Blog
How can an OpenAI Chatbot Solution be built into Teams - The Architectual Structure
Explore Cloud1's insights on integrating Azure OpenAI into Microsoft Teams for enhanced chatbot solutions, focusing on security and efficiency.
Blog
How can an OpenAI Chatbot Solution be built into Teams - Experiences from Cloud1's Customer Projects
Explore Cloud1's insights on integrating Azure OpenAI into Microsoft Teams for enhanced chatbot solutions, focusing on security and efficiency.
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.
News
Tech Industry Expert Seppo Kuula to become the Chairman of the Board at Cloud1
Seppo Kuula to become the chariman of the board at Cloud1.
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.
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.
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.