A collection of information resources designed to help enterprise IT professionals launch and advance their artificial intelligence, machine learning and automation initiatives.
Set the buzz factor aside for a minute, and understand that artificial intelligence is doing real work for real companies. Even in the early stages of implementation, AI is providing enterprise organizations with benefits: Efficiency in operations, cybersecurity protections, innovation, and stronger customer relationships.
However, the race to implement AI and machine learning also raises citizen privacy concerns. There have been revelations about the potential for algorithmic bias reflected in data sources. There has been speculation about AI applications going rogue. Executives worry about whether they are moving fast enough with their AI and machine language initiatives, and where the concepts offer the greatest rewards. Then there is the job front: Who will AI put out of work, and where will enterprise managers find the AI talent they need to compete?
The editors of InformationWeek.com have compiled this collection of articles focused on AI and machine learning, featuring success stories, trends, and advice. This special report is a sample of what you will find each day on our site. For more than 30 years the InformationWeek editorial team has been leading the way in helping IT professionals stay up to date on enterprise technologies and strategies.
Check out these articles and the hundreds of other informative content pieces -- about IT management, careers, analytics, DevOps, cloud, and more -- on InformationWeek.com, all at everyone's favorite price: Free.
Enterprises are eager to experience the potential benefits from deploying artificial intelligence, but if they want to be successful, they'll need to overcome these technological, organizational and cultural challenges.
Your competitor has a shiny new AI-driven chatbot, so shouldn't you be developing one, too? Not necessarily. Here's why these customer-facing bots may not be the best first project for your AI program, and what you should choose instead.
AI and machine learning deployments are hitting the mainstream in enterprises, but executives still hesitate to blindly accept insights from inside the "black box" without seeing the logic behind them.
The adoption of AI applications isn't about replacing workers but helping workers do their jobs better.
Jim Connolly is a versatile and experienced technology journalist who has reported on IT trends for more than two decades. As Executive Managing Editor of InformationWeek, he oversees the day-to-day planning and editing on the site. Most recently he has been editor of UBM's ... View Full Bio
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