If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The term artificial intelligence (AI) is thrown around in many contexts, especially in the tech industry. However, many people (including those in IT) don't actually understand what AI is, let alone the challenges and opportunities it presents. This is the first in a series of "AI for Dummies" blogs where I'll share the basics of all things AI. As computer systems become ever more capable of performing the tasks that traditionally are staffed by humans, this evolution will affect nearly every industry. In the short term, there will be positions that are replaced by machines that lead to job loss.
We all see the term artificial intelligence (AI) thrown around in many contexts. AI is a buzzword in the tech industry in particular. However, many people (including those in IT) don't actually understand what AI is nor the challenges and opportunities it presents. Today, I'm beginning a series of blogs to share the basics of all things AI. As computer systems become ever more capable of performing the tasks that traditionally are staffed by human employees, the evolution will affect nearly every industry.
Constellation Research hopes you all have a great holiday season this year with friends and family. In the spirit of recognizing memorable achievements in the tech industry, we also want to use this occasion to announce the winners of Constellation's first annual Enterprise Awards. The winners were selected through a combination of internal voting and heated debate among Constellation's analyst team. Each category also includes a number of runner-up winners, as there were so many deserving of recognition. We hope you enjoy reading the results and welcome your comments--approving, dissenting and otherwise.
As more organizations make serious efforts to digitally mature next year -- a surprising 74% are still early or just beginning to mature according to Deloitte's latest digital future's report -- one key question they're asking is what the right technology stack is to use as the basis. Given the breadth and depth required of most transformation efforts -- from the requisite technologies and operating processes to digital talent and business models -- the industry has learned that establishing an effective foundation for the digital future state is vital. In fact, I've found that transforming digitally on top of a strong set of digital fundamentals is a leading best practice that has been validated repeatedly as we look as recent examples of digital transformation, most notably at Nordstrom, General Electric, and TravelEx. So my trip to Barcelona a few weeks ago to SAP's information packed yearly TechEd event afforded me the opportunity to assess the company's latest platform evolution. My goal was to size it up with a lens towards assessing it as a digital transformation-ready platform.
CEO Bill McDermott predicted that over the next five to 10 years machine learning, artificial intelligence, and augmented reality will increasingly come to the fore: "I think very strongly that intelligent applications will fundamentally change the way you do work in the enterprise and the way you collaborate with your trading partners outside of the enterprise," he said. McDermott went on to say that machine learning has the capabilities to help businesses make more informed decisions around how they can better serve their end-customer. "We need the system to tell us what to do," he said. "Based on algorithms of that data and inputs that are in that data bank, we need to be able to advise you on the next step for your sales cycle, who you should meet with, and what the expected outcomes are, and what the level of probability would be on you striking a deal." At the same time, McDermott said the appeal of using machine learning as part of business processes is that it will "liberate workers."
As SAP continues to makes its own transition into the cloud, the company is also focused on delivering applications that will help customers make that same change simpler. At this year's recently held SAP Sapphire Now conference in Orlando, Florida, a key theme for the company was introducing machine learning to its HANA cloud platform. CEO Bill McDermott predicted that over the next five to 10 years the hype will be around machine learning, artificial intelligence, and augmented reality. "I think very strongly that intelligent applications will fundamentally change the way you do work in the enterprise and the way you collaborate with your trading partners outside of the enterprise," McDermott said. He went on to say that machine learning has the capabilities to help businesses make more informed decisions around how they can better serve their end-customer.