Jump to Content
AI & Machine Learning

Forrester names Google Cloud a Leader in Notebook-based Predictive Analytics and Machine Learning

September 16, 2020
Craig Wiley

Director of Product Management, Cloud AI and Industry Solutions

Forrester Research has named Google Cloud a Leader in its latest report on Notebook-based Predictive Analytics and Machine Learning Solutions. Forrester’s analysis and recognition gives customers the confidence they need as they make important platform choices that will have lasting business impact. 

This recognition is based on Forrester’s evaluation of Google Cloud’s AI Platform that includes Notebooks, Explainable AI, and AutoML products, amongst a suite of predictive analytics and machine learning services used by data scientists, developers, and machine learning engineers. 

In the report, Forrester evaluated 12 notebook-based predictive analytics and machine learning solutions against a set of pre-defined criteria. In addition to being named a leader, Google Cloud received the highest possible score in eleven evaluation criteria including explainability, security, open source, and partners.

Google offers one-stop AI shopping on Google Cloud Platform

The Forrester Wave:™ Notebook-based Predictive Analytics and Machine Learning Solutions, Q3 2020

Our AI Platform supports the entire ML lifecycle from data ingestion and preparation all the way up to model deployment, monitoring, and management. And we recently announced new MLOps services that unify ML systems development and operations, removing many of the challenges of scaling production ML workflows.  

AI Platform Notebooks is a managed JupyterLab notebook service, with enterprise security features like CMEK, VPC-SC, shared VPC, and private IP controls built-in.  It also comes with deep integration to BigQuery (our serverless, multi-cloud data warehouse), Dataproc (managed Hadoop, Spark and Presto) and Google Cloud Storage (GCS). And with Dataproc Hub, you can use Notebooks to work with Spark and your favorite ML and data science libraries. This streamlines cost management for data science teams and reduces the overhead of managing different environments for IT administrators. 

AI for all interests and levels of expertise

At Google Cloud, we think that AI can meaningfully improve people's lives and that the biggest impact will come when everyone can access it. Between Kaggle Notebooks for enthusiasts, Colab for researchers and students, and AI Platform Notebooks for enterprise users, we are working hard to make sure that all users can build and use AI. Be it domain users, or seasoned data scientists, everyone has a part to play in mapping business objectives against key outcomes achieved through AI. 

We recently announced that AutoML technology will be integrated as a workflow within AI Platform supporting structured and unstructured data problems. With this integration, AI Platform will provide a unified workflow with no code and code-based options for model builders of all types and experiences. 

Our vision to empower every enterprise to transform their business with AI is inspired by Google’s mission of universal access to information and shows up in our Responsible AI practice and Explainable AI tools and services. Apart from providing the best-in-class tools for model understanding and evaluation, we are steering a path with best practices, design guides, and education that advocates for AI governance in organizations. 

Regardless of your experience and expertise, our platform is built with a purpose to help you achieve your business objectives with AI. 

Posted in