If a company is going to out-compete others long-term using AI/ML, it better have the best data to solve a specific problem or be playing a different game from competitors.
By 2018, Gartner predicts machines will author 20 percent of all business content, and by the end of 2018, customer digital assistants will be able to recognize us by face and voice across different channels.
Powerful machine-learning algorithms that adapt through experience and evolve in intelligence with exposure to data are driving changes in businesses that would have been impossible to imagine just five years ago.
So what’s the bottom line with machine learning and the cloud? There is actual value there for businesses, if correctly applied. Enterprises looking for applications for this technology may find that, in some cases, machine learning could be a game-changer for the business.
We’re at the start of yet another software revolution. Things we take for granted — the graphical user interface (GUI) and the app — are becoming extinct, and conversational interfaces are fast becoming the new norm.
Our means for gathering data have largely outstripped our tools for analyzing that data. The result is a mountain of unstructured and largely inaccessible information gathered from social media, app permissions, website cookies and hardware and software service agreements.
Deep learning takes the concept of machine learning even deeper (pun intended), and can model complex non-linear relationships consisting of many layers. Deep learning is often mentioned interchangeably together with artificial/deep neural networks, which can be viewed as a biologically inspired programming paradigm that enables a computer to learn from observational data. Deep learning is considered the technique we apply to learn in neural networks.