Technology Innovation Strategy
Managing the Human Risks of Biometric Applications
Biometric technologies raise new issues of surveillance and privacy that can put customer trust at risk.
Biometric technologies raise new issues of surveillance and privacy that can put customer trust at risk.
Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.
AI techniques can generate training data that retains the predictive power of real-world data.
Companies that manage employee data responsibly are better able to grow trust across the company while gaining insights.
In this webinar, speakers discuss the benefits and pitfalls of monitoring in-person and remote workers.
JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.
Employee surveillance practices are increasing along with remote work arrangements. But can companies do it ethically?
The resilient, knowledge-based economy; a COVID-19 data disaster; smart buildings; and democratized AI.
The U.S. needs professional management and leadership of its health data supply chain.
Our experts weigh in on market implications from California’s new consumer privacy act.
As sports become ever more analytical, can there be such a thing as too much data?
Recording expectations improves decision quality, risk management, and leadership development.
MIT SMR’s 2018 Data & Analytics Report finds a link between customer engagement and data analytics.
Health care companies are using digital tools to put doctors’ focus back on patients.
What makes a digital leader? The ability to challenge the status quo and take risks.
For companies relying on algorithms in daily transactions, transparency is a difficult issue.
Managers already struggle to put data to intelligent use; AI may add to their difficulty.
IoT early adopters are reaping rewards in more timely, accurate, detailed, and reliable data.
Equifax credit reporting agency is beginning to incorporate unstructured data from sources such as social media.
Brands are anxious to find out what people are talking about on Twitter and Facebook — what’s known in the industry as “chatter data.”