Business Lab MIT Technology Review Insights

Successfully improving customer satisfaction through AI means becoming data-driven, prioritizing employee feedback and resources, and letting business goals guide technology deployment, says senior product marketing manager at NICE, Michele Carlson.

Integrating data and AI solutions throughout the customer experience journey can enable enterprises to become predictive and proactive, says vice president of product marketing at NICE, Andy Traba.

AI can create seamless customer and employee experiences but it’s important to balance automation and human touch, says head of marketing, digital & AI at NICE, Elizabeth Tobey.

Operationalizing data allows enterprises to optimize decision-making, deliver growth, and improve customer experiences, according to Mark Birkhead, firmwide chief data officer at JPMorgan Chase.

Amid shifting customer needs, CPG enterprises look to machine learning to bolster their data strategy, says global head of MLOps and platforms at Kraft Heinz Company, Jorge Balestra.

Deploying blockchain technology can bolster innovation and create a more secure way to bank, according to Suresh Shetty, the CTO at Onyx by JP Morgan at JPMorgan Chase.