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) …
Could the imposition of content filters, mandated by the European Union for use by all Internet content distributors, wreck the distribution systems on which the entire open source ecosystem now depends? The largest public open source repository, GitHub -- in the midst of its being acquired by Microsoft in a friendly deal -- warns that, should new legislation be passed by the European Parliament, the systems with which open source applications are distributed and maintained, would effectively fall apart. "Automated upload filtering of code would require entirely new technology," stated GitHub Policy Director Mike Linksvayer, in a note to ZDNet Wednesday, "and would result in either vast numbers of false positives -- causing software to become much more fragile, literally breaking builds -- or vast numbers of false negatives -- because most software, including proprietary software, includes some open source components." Parliament's Legal Affairs Committee voted 14-9-2 Wednesday, Brussels time, to approve the latest draft of a directive to impose sweeping changes to the continent's copyright protections. Ostensibly, the purpose of this Parliamentary Directive would be to ensure the accessibility of all forms of content to "cultural heritage institutions" (mainly libraries and museums).
The hope for artificial intelligence in IT service management (ITSM) is to augment the productivity and value of existing resources and improve people's service experiences. Here's my take on where we are today and a first look at some of the topics I'll be covering at the IBM Think conference in my session Intelligent ITSM -- Powered by IBM Watson and ServiceNow (Session ID 1927A). On the support side, AI should first be implemented as supervised machine learning, using historical data to aid in the classification and routing of ITSM tickets. Machine learning technology can also recommend relevant pieces of information to help technicians resolve issues faster. Virtual agents powered by natural language then augment technicians' capacity by deflecting common, low-complexity issues and freeing labor for higher-complexity, value-added activities.
Today, executives have to cut through a lot of hype around automation. Leaders need a clear-eyed way to think about how these technologies will specifically affect their organizations. The right question isn't which jobs are going to be replaced, but rather, what work will be redefined, and how? Based on our work with a number of organizations grappling with these issues, we've found that the following four-step approach can help. Much work will continue to exist as traditional "jobs" in organizations, but automation makes traditional jobs more fluid and an increasing amount of work will occur outside the traditional boundaries of a "job."
AppZen – uses artificial intelligence to automate expense report audit. ArgyleData – is a software maker that uses big data and machine learning to detect and stop fraud for telcom companies. Also see FraudTechWire.com Attrasoft – Provider of a number of neural network based products for image and sound recognition/retrieval, trend prediction and data mining. Acquired Intelligence Inc – Creators of the ACQUIRE line of administration, operations and customer support products in stand-alone or web-based applications. Includes profile, demo downloads, and job openings.
Everyone has waited for what seems like hours to visit a doctor or nurse practitioner, only to spend five minutes getting simple information on how to take a prescription. These routine visits--crucial to a patient's health--burden the healthcare industry with enormous costs and can wreak havoc on a patient's schedule. According to a survey of specialty physicians in 15 major cities in the U.S., patients wait an average of 24 days to schedule an appointment with a doctor. Some of the most frequent frustrations of healthcare, however, are changing thanks to what's known as conversational AI (artificial intelligence), where computers communicate with patients via phone or text in a way that feels authentic, even almost human. Conversational AI is helping improve essential medical services like scheduling doctor's appointments, locating specialists, setting up referrals and managing ongoing care, often through a single virtual conversation.
As trading professionals face growing quantities of data sources to perform predictive analytics, finding new ways to efficiently make use of that information and identify critical data points that can drive trading strategies is a challenge. The recipient of this year's Best Big Data Analytics & Technology Provider award is software technology firm AlphaSense, which is on a mission to empower users with greater insights. AlphaSense provides investment and knowledge professionals with a search engine, enabling them to wade through large volumes of data and find information in seconds--instead of hours. Julie Craig, vice president of marketing at AlphaSense, says it aggregates millions of relevant documents and applies intelligent search technology to help customers find critical information almost instantaneously. For the judges, its services are what "make AlphaSense a winner," and they add that "it has its finger on the pulse of (hidden) disclosures."
Artificial Intelligence developing full-bore, chatbots are, currently, a rage. If having one developed for your business has crossed your mind, you should be aware that sole reliance on the provider you choose may not be the best approach. There are several reasons why you'd better have an idea about the do's and don'ts of the business before getting the show on the road. First off, while being sufficiently ripe by now, the technology still falls short in some respects. An unsophisticated chatbot, partially assembled from prefab parts, would be a far cry from a multilingual one that is based on a powerful Natural Language Understanding layer and allows your customers to add an order to cart or perform some other action.
The long view on telecommunications networking is automation of management and operational processes. This is highlighted with the advent of 5G, which is designed to provide connectivity for billions of new devices with a wide range of service requirements–the sheer complexity of future networks will command automation. For enterprise and industrial network users, automation is also a long-term goal given the business value created by lowering operational expenditures as a function of added efficiency but also lowered human costs. The path from the current status quo to this automated future isn't necessarily clearly charted, but there's consensus around the key roles of machine learning and artificial intelligence in creating automated network environments. With its global scale and long history in the business of providing cloud computing services, Oracle has dealings with both massive global enterprises and telecommunications service providers.
It seems as if everybody is starting to look at artificial intelligence as some sort of make-or-break technology for the human race. Where the fate of the planet is concerned, there is an increasing collision between the nationalistic view that AI's overriding purpose is to help countries hold their own in geopolitical struggles and the humanitarian view that AI should deliver the benefits of material prosperity to all peoples, serving as an activist force in the universal struggle for equality, free expression, personal autonomy and democratic governance. The nationalistic perspective keeps popping out in headlines. For example, there are the sentiments expressed in this recent article by Horacio Rozanski, chief executive of Booz Allen Hamilton Inc. He discusses what he regards as a "close race" between the United States and China in developing and exploiting AI.
Online search is now the first step for a majority of travelers, with some consumers visiting up to 38 sites before booking a ticket. Yet the travel industry must adapt to newer digital marketing strategies to win over potential customers. The key to success is delivering ultra-precisely targeted content, leveraging personalized retargeting combined with AI and deep learning. A single customer looking to book a trip can visits hundreds of travel pages each day. The search often takes weeks before the final purchase is made.