As you will have read in my last blog, businesses are demanding better outcomes, and through IoT initiatives big data is only getting bigger. This presents a clear opportunity for organisations to start thinking seriously about how to leverage analytics with their other investments. Demands on supply chains have also
What if you could automatically detect supply chain anomalies as they happen, or even predict them in advance? You'd be able to take timely corrective action and help maximize revenue, margins, customer satisfaction and shareholder value. There's no question: Supply chain planning and execution is complex. From design and sourcing, to
Called out as two common IT threads in my previous blog post, how do artificial intelligence and automation connect with another prominent movement, the Internet of Things (IoT)? First, consider these predictions from IDC on IoT. By 2020, At least 45 percent of IoT-created data will be stored, processed, analyzed
Chess has been intertwined with Computer Science since, well ... forever. Long before supercomputer Deep Blue, loaded with human-crafted chess algorithms, beat reigning world champion Garry Kasparov in 1997. Well before AlphaZero AI defeated all of human chess knowledge with just a few hours of study. Way before computers even
I've long been fascinated by both science and the natural world around us, inspired by the amazing Sir David Attenborough with his ever-engaging documentaries and boundless enthusiasm for nature, and also by the late, great Carl Sagan and his ground-breaking documentary series, COSMOS. The relationships between the creatures, plants and
Who cares about sports and data? Not just athletes, coaches and fans. It turns out that many companies outside of sporting organisations are also associated with the sports industry. For example, financial services organisations are actively involved in sports sponsorships. Retailers sell fan merchandise. Telcos build social engagement strategies around
When we talk about the Internet of Things and “analytics at the edge,” we’re talking about modeling data as close as possible to the device – not far away in some warehouse or data storage appliance. So, generally, the edge is anything with a sensor that is transmitting data: an
The Internet of Things is coming fast and furious. We clearly know what these “things” are, and were able to see prototypes at last week’s Mobile World Congress (MWC) which hosted some 93,000 attendees. Things = connected life = cars, homes (thermostats, washer and dryers, vacuum cleaners, security systems, refrigerators, etc.),
The first sensors appeared many decades ago, and have been around for quite some time in various forms, even though they’ve really only entered the popular vocabulary over the past few years thanks to the Internet of Things. How do sensors work? A sensor detects events, or changes in quantities, and
Today’s self-parking cars are a marvel, but that’s nothing compared to what’s just around the corner: Autonomous vehicles that can taxi you efficiently around a city, onboard navigation systems that warn of bad drivers or traffic jams nearby and offer safer, quicker alternative routes; trucks that haul commerce safely and
