7,549 Results for:algorithms

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5 tips on how to pick the right AI use cases

By David Petersson 01 Nov 2019

Businesses may not be ready to jump all in to AI just yet, so starting with individual projects can be a good place to start. What should CIOs look for in early-stage AI projects? Read More

Comprehensive software testing and complex algorithms

By Mike Kelly 21 Aug 2007

Achieving test coverage often necessitates collaboration among groups that may not normally work with one another. Expert Mike Kelly explains how to test comprehensively under difficult circumstances. Read More

AWS G4 aims to lower cost of GPU-powered AI inference

By Cliff Saran 23 Sep 2019

Amazon Web Services seeks to cut the cost of running artificial intelligence inference engines with the introduction of a Nvida V100 GPU-based instance Read More

Is it possible to crack the public key encryption algorithm?

By Randall Gamby 14 Jan 2010

Is it possible to create a PKI encryption key that is unbreakable? IAM expert Randall Gamby weighs in. Read More

Key considerations for operationalizing machine learning

By Ronald Schmelzer 15 Aug 2019

Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises. Read More

How to reduce the bullwhip effect: Supply chain partners, data key

By George Lawton 20 Dec 2019

Understanding the causes of the bullwhip effect is critical to preventing it. Here's a look at why it happens and ways to close the gap between supply and demand. Read More

IPsec vs. SSL VPN: Comparing speed, security risks and technology

By Peter Loshin 26 Jun 2019

IPsec VPNs and SSL VPNs both encrypt network data, but they do it differently. Learn about the differences and how to determine the right solution for your organization. Read More

How IoT is transforming energy efficiency tactics

By Mike Jeffs 16 Oct 2019

Energy efficiency is a critical component to a retailer's everyday operations, and IoT sensors and data can help them save on energy consumption and costs. Read More

AI skills and explainable data models are top concerns for 2020

By Cliff Saran 08 Jan 2020

New research from IBM finds that 2020 is the year when executives want to deploy real-world artificial intelligence applications Read More

IBM AI executive talks AI adoption in the enterprise

By Mark Labbe 19 Nov 2019

AI use in enterprises is generally low, largely because the technology is not understood, and organizations have problems with data, trust and lack of skills. Read More