AI business strategies

Artificial intelligence software is changing how enterprises conduct business. Machine learning supports data-driven decisions, customer service chatbots follow up on leads, robots in manufacturing boost productivity -- the list goes on. Get advice for building and implementing AI business strategies.

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We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.

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AI business strategies News

June 29, 2020 29 Jun'20
IBM donates AI ethics tools to Linux Foundation

IBM donates open source toolkits AI Fairness 360, Adversarial Robustness 360 and AI Explainability 360 to the Linux Foundation amid calls for more ethical AI.
June 16, 2020 16 Jun'20
Amazon highlights distancing with Distance Assistant

Amid a lawsuit over unsafe warehouse conditions, Amazon brings an AI-powered camera and monitor system to its warehouses to help employees maintain social distancing.
June 09, 2020 09 Jun'20
DataRobot partners with BCG, acquires its analytics software

DataRobot's new partnership with Boston Consulting Group aims to bring the technical expertise of BCG to DataRobot's customers. The AI vendor also acquired analytics software from BCG.
May 29, 2020 29 May'20
Contact tracing apps seem effective, but have privacy concerns

Contact tracing mobile applications appear to offer an easier, safer way to track where an infected person has been, but technology could cross a data privacy boundary.

AI business strategies Get Started

Bring yourself up to speed with our introductory content

artificial intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
Science fiction vs. reality: A robotics industry overview

Robots have made their way into industrial, manufacturing and military settings, but the robots of science fiction remain a long-term goal rather than a reality. Continue Reading
How and why are our devices listening to us?

Consumers are utilizing digital voice assistants and smartphones but may not realize how frequently companies listen in and sift through all the data these devices create. Continue Reading

Evaluate AI business strategies Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Deep learning's role in the evolution of machine learning

Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning. Continue Reading
Machine learning for fraud prevention keeps TrafficGuard agile

TrafficGuard uses machine learning to prevent ad fraud but has faced the challenges that come along with it. Full-scale commitment and investment have eased those obstacles. Continue Reading
Comparing supervised vs. unsupervised learning

Learn how LinkedIn, Zillow and others choose between supervised learning, unsupervised learning and semi-supervised learning for their machine learning projects. Continue Reading

Manage AI business strategies

Learn to apply best practices and optimize your operations.

Accelerating digital transformation through remote work

As working remotely became a near-global mandate, companies have been thrust headfirst into a digital transformation. AI is helping to smooth the journey. Continue Reading
AI's impact on business: The quest to make money

'Bionic' companies have cracked the code on using AI to make money. Here is what IT and business leaders need to do to maximize AI's impact on the business. Continue Reading
AI and DevOps team up in remote work model

Communication and network security are increasingly difficult in DevOps teams as the workforce goes digital. Using AI and machine learning helps companies adjust to the remote work model. Continue Reading

Problem Solve AI business strategies Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Understanding how deep learning black box training creates bias

Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. Continue Reading
Here's how one lawyer advises removing bias from AI

Avoiding bias in AI applications is one of the central challenges in using the technology. Here's some advice on deploying AI technologies in a way that is fair. Continue Reading
Using AI in AML fights fraud while protecting privacy

Money laundering and fraud remain a risk for financial institutions, but AI can act as a useful tool against a constantly evolving financial enemy. Continue Reading