Workplace AI: Emerging technologies, ethical questions
Artificial intelligence holds great business promise, but most organizations aren’t positioned to take advantage. Here’s how early adopters are transforming AI projects into business value.
New tools put more power in the hands of security professionals, whose responsibilities have grown exponentially.
Companies are increasingly turning to artificial intelligence to help strengthen customer relationships, provide unique experiences, and increase revenue.
Forget the tech giants’ rosters of data science PhDs. As AI moves into the enterprise, blended teams with business skills become more important for driving business value.
Enterprise augmented reality can offer some benefits to IT operations, but high prices and usability issues are hindering adoption
From predictive maintenance to digital twins, artificial intelligence is ushering in the next manufacturing revolution — if not for shortages of skills, data, and standards.
To protect corporate networks against malware, data exfiltration and other threats, security departments have systems in place to monitor email traffic, URLs and employee behaviors. With artificial intelligence (AI) and machine learning, this data can also be used to make predictions. Is an employee planning to steal data? To defraud the company? To engage in insider trading? To sexually harass another employee?
AI expertise is in short supply and high demand. Here’s how companies are filling the gap by training staff on the skills necessary to make the most of artificial intelligence.
Artificial intelligence can now be used to create seamless fake footage of people from President Obama to major movie starts to… well, you
Health care companies are embracing artificial intelligence for everything from drug research to diagnostics, but challenges centered around privacy, data and the AI ‘black box’ remain.
Artificial intelligence is starting to eat the world, one step at a time, and IT operations is no exception. Although […]
Interest in machine learning and AI for SCM is increasing as companies envision a more predictable, automated future for logistics and distribution.
Data science democratized: What used to take data scientists months to prepare may soon be put together in a few days by data-astute business users.
Bad data is big issue for artificial intelligence, and as businesses increasingly embrace AI, the stakes will only get higher. Here’s how not to get burned.