Machines can learn 24x7x365, can review massive volumes and continuous streams of data in milliseconds, and have the ability to learn without being explicitly programmed. This of course, enables a pace of learning far faster than anything us humans have ever witnessed or participated in. What does this mean for digital transformation planning and prioritizing? It means once machine learning has been implemented across core systems, the pace of learning will increase at extraordinary rates, and at scales beyond human’s capacity to absorb and act upon it.
It’s not just the data, it’s what you do with it that counts. Organisations everywhere are striving to get to grips with what the Internet of Things could mean for their products their infrastructure, and the devices their customers and employees carry with them.
I was at London’s ExCeL centre recently for a new event, Smart IoT London. It’s part of an expansion of last year’s ‘festival of the expos’ that now sees exhibitors and speakers from Cloud Expo Europe, Data Centre World, Cloud Security Expo, and Smart IoT all vie for the a share of the same crowd. Which does rather make for somewhat confused delegate profile!
If you are reading this post then, like many others I meet, you are potentially looking at PLM (Product Lifecycle Management) solutions and may be confused with which direction or vendor...
Businesses and organizations must shift from change to transformation ASAP because most of our previous business and technology processes are already or will soon be obsolete.
Digital technologies and innovative business transformations have changed the way we create products, services and how we deliver them to our clients. Instead of thinking:
“How could I improve this process?”
“Is this process relevant in the digital business era?” or “Is this process valuable for our digital business strategy?”