Joe McKendrick

Data analytics experts will be needed for everything from energy production to financial services and marketing.

A successful enterprise IoT architecture needs fast ingestion, an operational database, event triggers, and data export for longer-term analytics.

Lack of technical skills and analytics capabilities are seen as challenges to industrial IoT projects.

Getting started with the IoT will require organizational plumbing.

Just as Rome wasn’t built in a day, the industrial IoT will develop in a piecemeal fashion.

Why the IoT is the “grand-unifying theory” behind the digital enterprise.

Open-source platforms and standards have opened new IoT business models in smart grids, energy management, and retail.

IBM and global shipping giant Maersk will use blockchain for a real-time view of supply chain and associated paperwork.

Real-time performance reviews, staffing analyses, and employee mood indicators? Welcome to the world of digital HR analytics.

Businesses can’t decide which IoT platform to use, have issues with data integration and security, and report a nine-day lag in useful analytics.

The IoT is really about use cases.

WalMart’s Data Cafe has 200 streams of internal and external data, including 40 petabytes of recent transactional data. One use? Faster sales and inventory decisions.