As illustrated by the quote below, the case for data in business is not a new one, nor one that needs to be much discussed. The purpose is, and always was, to collect sufficient data (and not too much, ‘infobesity’ and ‘analysis paralysis’ are well-known pitfalls in that area) to make the right choices, with the maximum number of possibilities, whilst acknowledging that decisions are a sort of bet on the future and its uncertainties.
There is an important issue in the world of Procurement. While the future of the function is at stake, too many CPOs and Procurement organisations are looking at the future of Procurement solely through a technological prism and consider technology as the end (when it is the means to an end).
It is no surprise then that the questions that are at the top of their agenda are centered around what technology (RPA, blockchain, big data, AI,…) they should focus on and implement. It is as if this or that piece of technology would magically fix all of their problems.
So, you are into e-commerce & struggle to keep up with Amazon (which boasts the #1 app among Millennials and Centennials and made over $ 43 billion in Q3 2017)? Don’t worry, your competitors face exactly the same problems – and turn to Artificial Intelligence to solve them. Discover how using e-commerce AI solutions can help you deliver the ultimate shopping experience, reduce operating and staffing costs and boost revenue.
Gartner claims the global IoT installed base will reach 8.4 billion units by the end of this year. The Internet of Things’ revenue opportunity will top $ 4.5 trillion in 2018. Soon IoT will be bigger than the Internet itself. However, 75% of IoT hardware and software development projects fail to meet business objectives. Here’s why.
I’ve been lucky enough to spend most of my career helping businesses succeed through digital, running my own business during the dot com boom/bust years and watching the digital economy explode.