Building a high-quality dataset is a critical step in developing accurate and effective deep- learning models for computer vision. However, collecting labeled data can be a daunting and expensive process,…

Building a high-quality dataset is a critical step in developing accurate and effective deep- learning models for computer vision. However, collecting labeled data can be a daunting and expensive process,…
Executive summary Anti-corruption laws expose careless companies and their executives to massive monetary and imprisonment risks. A world technology leader selected Neal Analytics to develop Machine Learning models that could…
Why the need to show multiple records on a Power BI dashboard? Most of the time, data used in Business Intelligence dashboards is gathered from multiple sources. So, there is…
There is more to data science than just implementing algorithms. In fact, we frequently joke that data science is 20% analysis, 30% data cleaning/engineering, and 50% waiting for the transformations…
Challenges One of Europe’s largest supermarkets wanted to migrate Power Platform assets to a new tenant, but faced significant challenges, especially because they wanted to avoid downtime during the migration.…
Here at Neal, we approach computer vision scenarios with a production mindset. From the edge to cloud infrastructure to the physical hardware implementation, we want to be sure the solutions…
Challenges A major power utility company faced significant challenges in managing delinquent customer accounts. The company was experiencing a growing number of disconnects due to customers failing to pay their…
Introduction Data has become a critical asset for businesses in the digital age. With the explosion of data sources and the increasing importance of data-driven decision-making, companies must adopt modern…