InfoWorld Big Data and Analytics Report

August 28, 2019

Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices Read more ▶

Your Must-Read Stories

•	How Qubole addresses Apache Spark challenges

•	IBM Trusted AI toolkits for Python combat AI bias

•	Automated machine learning or AutoML explained

•	Machine learning operations don't belong with cloudops

•	How to do real-time analytics across historical and live data

Miscellaneous: Trifacta

Choose the right data preparation solution for your team

As you and your team look to invest in modern data preparation solutions, understanding how to evaluate the new technologies can be difficult. There are a slew of new vendors entering the market, new end user requirements to meet, and new features coming on line. How do you choose the right data preparation solution? Read more ▶

How Qubole addresses Apache Spark challenges

The Qubole Data Platform brings streamlined configuration, auto-scaling, cost management, and performance optimizations to Spark-as-a-service Read more ▶

DEALPOST

Anyone Can Invest in Real Estate with DiversyFund

Investing in Real Estate Isn't Just for the 1 Percent Read more ▶

IBM Trusted AI toolkits for Python combat AI bias

IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models Read more ▶

Automated machine learning or AutoML explained

AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models Read more ▶

Machine learning operations don't belong with cloudops

Giving systems enabled with machine learning to the cloud operations team to manage is not only a mistake, it's dangerous Read more ▶

How to do real-time analytics across historical and live data

5 in-memory computing platform capabilities that support analytical processing of both data lake data and operational streams Read more ▶

Miscellaneous: Hitachi Vantara

Build a Data-Driven Enterprise Through Strategy, Culture and DataOps

This report outlines how data can be used strategically and why a "stairway to value" approach is the most effective approach to becoming a data-driven enterprise capable of monetizing its data. Read more ▶