Here’s why your company should be using Google Cloud and a bit more detail on how it makes things easy for financial service organizations.

One of many nice things about Google BigQuery is that Google constantly adds new features. Recently, we had a look at BigQuery Column Encryption with Google Key Management Service (KMS) integration and it’s quite cool.

AI models rely on data. To put it simply, organizations have to possess enough data of the right quality to be able to build.

Consider how your business's cloud journey will impact your customers. How will switching technologies change the working environment and the processes that govern them? Join us as we discover how Google Cloud can help drive positive transformation in your business at every stage of the transformation.

Google is heavily investing in making the process of migrating on-premises data warehouses to Google BigQuery as streamlined, fast, and cost-effective as possible with the Google BigQuery Migration Service. In this blog post, we introduce you to the Batch SQL Translator tool. We describe the steps to translate Teradata SQL to BigQuery’s Standard SQL and provide code samples to achieve the translation from the Cloud Console and programmatically as well.

I have tested the BigQuery materialized views against the documentation. While most of the functionality and limitations are accurate, there are a few gotchas you need to be aware of.

Implementing BG-NBD, a probabilistic hierarchical model, using PyMC3 to analyze customer purchase behavior

The pandemic has had a huge impact on the global economy. How did Aliz respond to these challenges? Read this article to learn more.

The Beta-Geometric Negative Binomial Distribution (BG-NBD) model is an influential probabilistic model for describing customer behavior and for predicting customer lifetime value (CLV)¹. In the previous article of the series, we've explored the intuition, assumptions and mathematical derivation of this model. I’d suggest you take a look at it if you haven’t!

In this post, we will look at how GCP brings ML to the masses through premade APIs, AutoML, BigQueryML, and AI building blocks.

Learn more about how Google Cloud infrastructure modernization solutions can help your business to become more competitive.

Learn more about how Google Cloud can unlock your data's potential.