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How to Succeed with GenAI – Case Santen Pharmaceutical

At Santen Pharmaceutical, Brightly designed and implemented ChatAIRI, a generative AI tool that enables quick analysis of a vast amount of regulatory data. Read more about how we used AI to tackle a real-world problem efficiently.

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Brightly joins LifeFactFuture to lead development of technology excellence in pharma and life sciences

Brightly joins the LifeFactFuture research program to lead the Technology Excellence Work Package in a consortium of university entities, leading life science manufacturers as well as data and technology companies.

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Microsoft Fabric – where is it headed, and is it for you?

Microsoft Fabric is the new kid on the data block, holding a lot of promise. But where is it currenty, and where is it headed? We attended Fabric Community Conference Europe 2024 to give you the latest.

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Better AWS Account Governance With Infrastructure as Code

Running Amazon Web Services workloads can prove tricky. We'd like to share our method that reduces costs, speeds things up, and allows for more customization.

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Scaling Up Data and Analytics: Case OP Financial Group

OP Financial Group, one of Finland's largest financial services companies, teamed up with Brightly to scale up their data and analytics capabilities, fostering a robust data community within the organization. The project demonstrated that fostering a culture of data literacy and innovation requires the right tools, infrastructure and a data-oriented, problem-solving mindset.

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Natural language AI queries supercharge value of data – Case Normet

Brightly created a PoC of an AI-powered tool that enables Normet personnel to make natural language queries into IoT data, making data more accessible and valuable throughout the organization.

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Testing is an Investment in the Future of the Product

Software testing is the unsung hero of the various development disciplines. Often the testing is seen as ‘Complex!’ ‘Time-consuming!’ and ‘Tedious!’ But as a systematic part of your development processes, it makes developers’ work smoother, easier, and cost-effective while making your product solid, bug-free and future-proof. Here are some ways to leverage testing to improve your product and help your developers do their best work.

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Stop Talking About AI, Start Solving Real Problems

The hype is strong with AI. As we're bombarded with AI-related topics, it might seem imperative to move quickly, but it's equally important to ensure that we're solving the right problems. Read more to learn how use a problem-solving mindset to make your AI project successful.

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Data Cases as Innovation Projects

Modern data solution development has surprisingly many similarities with the innovation process. In this blog, I describe how to recognize innovation phases when developing data and analytics cases.

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Uncovering The Pulse of Social Media: AI Insights into Finland’s Labor Market Debate

This blog post delves into the application of modern AI for extracting meaningful insights from the turmoil of social media discourse. We showcase this technique by examining the social media conversations about the ongoing labor market reforms and political strikes in Finland.

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Why Should All Software Projects Use Unit Tests?

This article will address the impact of unit testing on projects, define testable units, explore the benefits of disciplined practices, and provide guidance on getting started.

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The Dos and Don’ts of Production Grade GenAI Software

This article distills Brightly’s hands-on experience into essential dos and don'ts when developing GenAI applications for production use.

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