Blockchain – the distributed, encrypted and public ledger behind virtual currency Bitcoin – has uses beyond making early adopters in virtual currencies filthy stinking rich. Experts say that it represents a leap forward in information storage and security.
A blockchain is really just a digital file in which blocks of information are linked together (“chained”) and secured using private key cryptography, ensuring only those with appropriate permission can edit the sections of the data they are entitled to.
Because copies of the file are stored on multiple computer systems (distributed) and kept synchronized through the consensus of the network, they potentially enable innovative solutions to problems involving tracking and ledgering transactions in a digital world.
In fact blockchain has the potential to change the very foundations of our economic system, though this is likely to be some way off. In the meantime, anyone capable of fitting blockchain technology to current business problems is likely to find their skills in demand.
2018 will be an exciting year for technological innovations that will leverage big data, the Internet of Things (IoT), machine learning AI, speech and natural language interfaces, and blockchains tools to transform and improve the world we live in.
Bernard Marr is a best-selling author & keynote speaker on business, technology and big data. His new book is Data Strategy. To read his future posts simply join his network here.
The way we interact with machines has evolved from operating levers and valves, to control panels, keyboards and touchscreen interfaces. Thanks (again) to the amount of data we have, we are now at a point where voice controlling machines feels natural and is often the most intuitive option we have.
It’s been predicted that by 2020 half of online searches will be carried out by voice – and 30% of them will be made using devices which have no screen at all. This year, BMW will roll out new cars with Alexa pre-installed, just as Ford has done.
In business we will become increasingly used to using AI assistants to manage day-to-day schedules and put information in front of us when we need it. Going beyond that, there are opportunities to drive sales well as move to a more data-driven customer experience model, through the use of chatbots and natural language-capable marketing tools.