The adoption of AI applications isn’t about replacing workers but helping workers do their jobs better.
Nissan NA was about to launch a new data visualization platform across the enterprise and wanted to encourage self-service analytics. Here’s how it got users to get in and drive.
IT leaders face a tornado of vendor news and business user demands relating to emerging technologies such as blockchain, AI, and augmented reality. Those leaders need to put those technologies and the business need in perspective.
Agile and DevOps concepts help businesses get the basics of applications to market quickly, and those same concepts can help prepare the military for its challenges.
Technology innovation is accelerating and so are the impacts of technology on society. As machine intelligence gets baked into more products and services, as more human tasks become automated, and as more industries are disrupted, the tech industry needs to think differently. Here’s why.
Survey data from The Hackett Group show how IT leaders are supporting the business side of their organizations.
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.
It’s crucial for a data protection officer — required under the EU’s GDPR — to have a enterprisewide view of an organization’s stored data and how it is used, or not used.
Five steps to bring the top financial and technology executives closer together for the good of the company.
People are able to process visual information much faster than textual content. For this reason, data visualization is an essential model of contemporary business intelligence. There are hundreds of techniques to present business-related information and sometimes it might appear challenging to find the best one for you. In case you are running out of time, […]