There’s a lot of data in the modern world. Brands and consumers across all industries engage with various channels and platforms. The rise in activity is exciting, but it also…
Utilities need to rapidly transform how they operate to cater to and adapt to evolving needs around electric mobility, the rising demand for sustainable energy sources, electric grid modernization, and…
What is raw data? The title “raw data” refers to information that has not yet undergone any automated or manual processing when it was transmitted by one data entity to…
There are multiple paths to solving business challenges using data. As the saying goes “for a hammer every problem looks like a nail”. This is also true for applying advanced…
Operationalizing and scaling machine learning to drive business value can be challenging. While many businesses have started diving into it, only 13% of data science projects actually make it to production. Moving from the experiment phase of ML (machine learning) to real-world deployment is difficult, as the journey requires finetuning ML models to fit…
What is a recommender system? A recommender system is a broad term for the infrastructure providing a personalized recommendation based on input data. Any online service that makes personalized recommendations…
Everyone loves a good underdog story. A relatable, disadvantaged, and beloved character fights against insurmountable odds and ultimately comes out on top. But what about Game of Thrones, a book…
Like sand beneath the sea, data seems endless. If you’ve ever had the privilege to walk alone on a beach perhaps you’ve gone through these motions. You take in the…
At Neal Analytics, many of the projects that we work on require a fusion of software development and data science. On the development side of these projects using the Agile…