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No code, wrapped: Our ML experiment concludes, but did the machine win?

No code, wrapped: Our ML experiment concludes, but did the machine win?

I am not a data scientist. And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess to be anything close to a machine...

Augmented data management: Data fabric versus data mesh

Augmented data management: Data fabric versus data mesh

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with...

Gartner Survey Reveals 80% of Executives Think Automation Can Be Applied to Any Business Decision

Gartner Survey Reveals 80% of Executives Think Automation Can Be Applied to Any Business Decision

A recent survey by Gartner, Inc. found that 80% of executives think automation can be applied to any business decision. As automation becomes embedded in digital business, the...

Top Tips to Optimize Data and Inventory Management

Top Tips to Optimize Data and Inventory Management

Inventory management is a key component of supply chain management that ensures an appropriate quantity of stock is available to meet... Inventory management is a key component...

A Deep Learning System from an Engineer’s Perspective

A Deep Learning System from an Engineer’s Perspective

This article presents what prospective readers can expect to learn from this book and why you should learn it. Read it if you’re a software developer interested in...

AIoT in Manufacturing: Making Factories Smarter

AIoT in Manufacturing: Making Factories Smarter

The manufacturing sector is in the middle ofa fourth industrial revolution— Industry 4.0. As this movement gains steam, factories worldwide are implementing technologies like...

When is TinyML too much? - Stacey on IoT | Internet of Things news and analysis

When is TinyML too much? - Stacey on IoT | Internet of Things news and analysis

When it comes to machine learning (ML), sometimes every problem looks like it needs a neural net, when in fact it just needs some statistics. This is especially true when it...

Only DataOps Can Drive True Industrial Transformation | Transforming Data with Intelligence

Only DataOps Can Drive True Industrial Transformation | Transforming Data with Intelligence

Industrial DataOps may be the key to securing your ultimate industrial transformation success. In May, Germany earmarked $220 billion to fund industrial transformation. It’s a...

How to Create a Multi-cloud Management Strategy | Teradata

How to Create a Multi-cloud Management Strategy | Teradata

Across all industries, the enterprise space has wholeheartedly embraced the cloud. In terms of businesses continuing to follow the latest cloud trends, there's no slowing down....

Don’t Sleep on SQL — 5 Reasons Why it’s a Must-Have Skill in 2024

Don’t Sleep on SQL — 5 Reasons Why it’s a Must-Have Skill in 2024

While we mostly hear about Python, R, and Julia in regards to coding for data science, SQL (Structured Query Language) still has its place as a fundamental skill that...

What's Possible with Big Data Analytics | Big Data Trends

What's Possible with Big Data Analytics | Big Data Trends

Enterprises often spend too much time and effort on collecting and sorting data, but not enough time applying big data analytics to gain valuable business insights. Companies...

Top Data Science Use Cases in HR - DataScienceCentral.com

Top Data Science Use Cases in HR - DataScienceCentral.com

Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life,...