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.

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.

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.

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.

Data monetization on a modern data platform

Data monetization is a process of converting organizations’ raw data into sellable data products. This article covers two real-life examples of data monetization, explains the key benefits of data monetization, and describes how to monetize your data in practice.

GenAI: How to distinguish hype from potential business value

Generative AI has the potential to contribute $2.6 trillion to $4.4 trillion annually to the global economy, making this the right moment to seize market share. The question is, how can you determine GenAI's real value for your business?

A Deep Dive into Machine Learning with Databricks AutoML: Revolutionizing Retail Sales Predictions

This case study explains the solution we built in partnership with a prominent car dealer to enhance their business efficiency by leveraging a predictive model to estimate used car sales cycles.

Streamlining Git Workflows for Efficient Development and Quality Assurance

Explore the essential guide to streamline Git workflows for efficient software development and quality assurance. From understanding core Git workflows to implementing release management, Semantic Versioning, and embracing automation, this article offers practical strategies to enhance collaboration, code quality, and overall development efficiency.

From Zero to Hero in Azure Data Explorer: Key Learnings and Architecture Advice

Explore key insights and architecture tips in our latest blog post on Azure Data Explorer (ADX). Learn from my 4-month journey of mastering ADX for IoT data analysis with Power BI, and discover how to optimise your data processing with real-time performance, efficient pricing, and practical advice.

How to Use Language Models to Advance Robotics: Insights from Recent Research Papers

Deploying Databricks projects to multiple environments using dbx and Jinja templating

In this article, we’ll take a closer look at how we can use dynamic templating to simplify and streamline the management of Databricks deployments.

Support Decision Making with Proof of Concept Projects

Avoid costly mistakes and invest your time and money wisely with Proof of Concept (PoC) projects. The guidelines we introduce here for PoCs have been verified by successful customer projects, and we cover topics like setting goals, involving customers throughout the project, and delivering valuable evidence of feasibility.