How to make your supply chain more flexible
After the effects caused by the COVID-19 pandemic, tech leaders have a crucial role to play in building the supply chains of the future.
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After the effects caused by the COVID-19 pandemic, tech leaders have a crucial role to play in building the supply chains of the future.
In a multi-cloud, multi-data center environment, IT needs new methods for tracking and troubleshooting applications. Observability tools can provide that.
For end users and IT professionals who want to transition to an AI career, these are the skills you need to develop and the steps to take.
Managing AI projects requires a different approach from traditional IT project management. What are these differences, and how can you manage an AI project for success?
Tom Merritt shares his picks for the five tech conferences to attend this year.
Artificial intelligence has a mixed record of success and failure in business processes. What should you do for successful AI implementation?
Enterprise data science teams are having trouble hiring data scientists and machine learning engineers fast enough. But there is no need to wait until your team is fully staffed to start generating value from your AI. It’s just a question of bringing together automation and better tooling so that even small data science teams can have an outsized impact.
The Garter 2022 CEO survey confirms the importance of AI for business leaders, while the metaverse is viewed as less relevant.
See what features you can expect from Azure Machine Learning and IBM Watson to decide which artificial intelligence solution is right for you.
See what features you can expect from Cylance and CrowdStrike to choose the EDR solution that is ideal for your business.
A man on the moon or a cloud in the clouds? Microsoft is part of the new space race.
AI has the potential to further modernize workers' PCs. Learn how.
If you're looking for a laptop to use for machine learning, Jack Wallen is convinced you won't find a better option on the market than the Lambda Tensorbook.
Sentiment analysis has improved over the last few years thanks to stronger computing power and the ability to work at scale.
Just over a third (35%) of companies are using AI, a four-point increase from 2021 due to greater accessibility, and the need to reduce costs and automated key processes, a new IBM report finds.