The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

Published by
CIO

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Now, they must turn their proof of concept into a return on investment. But, how? Organizations are making great strides, putting into place the right talent and software. Yet many are struggling to move into production because they don’t have the right foundational technolo…

Read More

See also  Russia to slash AI development support

Leave a Reply