Data is already having a huge influence on the way we live our lives, but it is a fast moving industry and it’s impact will continue to grow. Here’s 5 predictions on how that could grow in the future.
1. Reduce impact of natural disasters
Weather data and prediction techniques will become so accurate that we will be able to move populations before they are hit by major natural disasters. It goes without saying that this will be massively beneficial. It will save time, money and most importantly lives.
2. Retail data spying
This one is a bit scary. If you already think the retailers are coming at you hard by using Cookies on the internet, they’re about to step it up a gear. Apparently cameras are already in place in store that track what you do and where you go in shops. In the future it is predicted that your eyes and face will be scanned when you enter and they’ll know everything about you, therefore allowing them to draw more accurate data conclusions than ever. Alternatively your phone may sync with the shops recognition software, enabling them to know your exact identity.
3. Self-Driving goes mainstream
Self-driving cars already exist. Google has been testing them on public roads in the US since 2012 and Audi has produced a racing car capable of propelling itself around a track at speeds of up to 150mph. Much of this technology is already seeing its way into production models, but legal constraints are currently holding back a full-scale release. Certainly in the future it is likely that self-driving cars will become the norm.
4. 3D Printing of Everything
Gartner: “Advances in 3D printing have already enabled 3D printing to use a wide range of materials, including advanced nickel alloys, carbon fiber, glass, conductive ink, electronics, pharmaceuticals and biological materials.” Some even predict that a day will come when we can 3D print our meals from the finest restaurants straight to our tables. It seems impossible now, but 50 years ago so did mobile phones. Think big!
5. Autonomous Agents and Things
This one comes from Gartner: “Machine learning gives rise to a spectrum of smart machine implementations — including robots, autonomous vehicles, virtual personal assistants (VPAs) and smart advisors — that act in an autonomous (or at least semiautonomous) manner. While advances in physical smart machines such as robots get a great deal of attention, the software-based smart machines have a more near-term and broader impact. VPAs such as Google Now, Microsoft’s Cortana and Apple’s Siri are becoming smarter and are precursors to autonomous agents. The emerging notion of assistance feeds into the ambient user experience in which an autonomous agent becomes the main user interface. Instead of interacting with menus, forms and buttons on a smartphone, the user speaks to an app, which is really an intelligent agent.”