Technology Innovation Strategy

Is the forestry industry ready for an industry-specific Internet of Things?

From wearables to hotel desks that remind us to move around, connected objects are becoming a bigger part of consumers’ lives.

What will happen to predictive analytics once everything is connected?

Research looks at how applying smart data to transportation ecosystems is launching new business models.

Digital technology is changing modern business — and many executives are waiting too long to embrace those changes.

Nine bits of information to consider about the emerging Internet of Things.

If companies want to succeed at social business, they need to develop a culture that embraces social media.

The Internet of Things is on the brink of transforming business, but most businesses aren’t yet prepared.

IT outsourcing has emerged as an important strategic tool for acquiring cutting-edge innovation.

Energy intelligence software company EnerNOC is helping companies save money and cut back on energy usage.

Most employees want to work for digitally savvy companies — and many are unhappy with their company’s digital maturity.

Companies need to focus more on the people already invested in the brand, says the president and COO of Sprinklr.

In this webinar, analytics experts discuss the data and analytics opportunities presented by the Internet of Things phenomenon.

Should an international organization be required to take control of uniting the Internet of Things (IoT) into one system?

The 2015 Digital Business Report by MIT SMR and Deloitte identifies strategy as the key driver in the digital arena.

By using mobile devices, social media, analytics and the cloud, savvy companies are transforming the way they do business.

By 2020, most new data will be generated not by people but by sensors and embedded, intelligent devices.

When it comes to big data, GE avoids warehousing and instead turns to the data lake approach.

What if companies used information systems more broadly — not just to measure profits but also to account for the needs of people and the environment?

Companies seeking to use analytics for predictive decision making commonly make these four errors.