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) …
Good scientists are not only able to uncover patterns in the things they study, but to use this information to predict the future. Meteorologists study atmospheric pressure and wind speed to predict the trajectories of future storms. A biologist may predict the growth of a tumor based on its current size and development. A financial analyst may try to predict the ups and downs of a stock based on things like market capitalization or cash flow. Perhaps even more interesting than the above phenomena is that of predicting the behavior of human beings.
The work of the British codebreakers at Bletchley Park during World War II is now a famous tale of genius, perseverance and success that saved the lives of civilians and troops alike and supposedly shortened the war by as many as two years. Using mathematical and deciphering skills as well as innovative computer technology, the supposedly unbreakable Enigma code was cracked, allowing British intelligence to discover where hostile U-boats, ships and troops were heading so that Allied troop and convoy vessels could alter their routes accordingly. The Enigma machine was so complex that its most advanced incarnation could be configured 158,962,555,217,826,360,000 different ways but had one flaw which led to its downfall - no letter could be substituted for itself. Even with this knowledge it took years many brilliant men to women months to crack the code. At the Imperial War Museum last week, two companies – DigitalOcean and Enigma Pattern – used the latest AI technology to decipher a German message in a live demonstration.
Try Apache Spark 2.1 & Zeppelin in Hortonworks Data Cloud by Vinay Shukla Wanna try Spark 2.1 Now? Well, you are in luck… Hortonworks Data Cloud ("HDCloud") for AWS gives you a quick way to launch a Spark cluster in the cloud. Read More Machine Learning & its Impact on the Future for Insurance by Cindy Maike First and foremost, machine learning WILL change the way insurers do business. The insurance industry is founded on forecasting future events and estimating the value/impact of those events and has used established predictive modeling practices – especially in claims loss prediction and pricing – for some time now. Read More A Reference Architecture for the Open Banking Standard… by Vamsi Chemitiganti Financial services firms specifically deal with manifold data types ranging from Customer Account data, Transaction Data, Wire Data, Trade Data, Customer Relationship Management (CRM), General Ledger and other systems supporting core banking functions.
Technologies such as digital, big data, Artificial Intelligence, automation and machine learning are increasingly shaping future of work and jobs. Despite concerns about humans losing their jobs to automation, the fact remains that future of jobs has never been brighter, according to Manish Bahl, Senior Director, Centre for the Future of Work, Cognizant Technology Solutions. Work has always changed, and will continue to change. While work that is tedious and repetitive will get automated, machines will always need humans. It would be naïve to underestimate human imagination or ingenuity.
New KDnuggets Cartoon looks at how AI and the new technology, such as self-driving cars, can change Christmas. Reindeer: With those new self-driving sleighs we can finally relax. This cartoon was ably drawn by Jon Carter. Here are other KDnuggets Big Data, Data Mining, and Data Science Cartoons and KDnuggets posts tagged cartoon. Cartoon: What Else Can AI Guess From Your Face? Cartoon: Future Machine Learning Class Cartoon: The First Ever Self-Driving, Deep Learning Grill Cartoon: Mother Of All Data Cartoon: Machine Learning - What They Think I Do Cartoon: the distance between Espresso and Cappuccino Cartoon: Taxes, Artificial Intelligence, and Humans Cartoon: What Happens When AI Masters the March Madness Causation or Correlation: Explaining Hill Criteria using xkcd Cartoon: Perfect Valentine's Dates Found With Data Analysis Cartoon: When Self-Driving Car Machine Learning takes you too far ... A Funny Look at Big Data and Data Science Cartoon: Thanksgiving, Big Data, and Turkey Data Science.
Do you want to learn what AI is really all about? You want to know more about Artificial Intelligence, then this is right place. I really hope you'll enjoy this video. As a recognized expert and thought leader in this field, I work with data-driven companies to generate business value so that they may meet and exceed goal after goal. I have been recognized for my work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout.
Great customer service builds trust, inspires brand loyalty, and earns repeat business. So it's no surprise that, according to Deloitte, close to 90 percent of organizations name improving the quality of their customer service as a strategic focus. Customer service helpdesks know this all too well. They often deal with an ongoing flow of tickets that sometimes have little information or context, which can slow down agents and impact service quality. What if you could use historical data to predict key KPI or fields of a support ticket to handle it in the most efficient way?
Artificial intelligence and machine learning, which found solid footing among the hyperscalers and is now expanding into the HPC community, are at the top of the list of new technologies that enterprises want to embrace for all kinds of reasons. But it all boils down to the same problem: Sorting through the increasing amounts of data coming into their environments and finding patterns that will help them to run their businesses more efficiently, to make better businesses decisions, and ultimately to make more money. Enterprises are increasingly experimenting with the various frameworks and tools that are on the market and available as open source software, in both small scale experiments run by a growing number of data scientists who have the expertise to find the valuable information the growing lakes of data and in full blown production deployments that are, conceptually, every bit as sophisticated as what the hyperscalers are deploying. The top cloud service providers and hyperscalers have for several years embrace data-driven AI and machine learning techniques and built their own internal frameworks and platforms that enable them to quickly take advantage of them. But as the technologies begin to cascade into more mainstream enterprises, the complexity of software and systems are throwing roadblocks in front of initiatives aimed at leveraging AI and machine learning for the good of the business.
There is a war a-brewin', but this war will be fought with wits and not brute strength. Ever since Russian President Vladimir Putin's declaration that "the nation that leads in AI (Artificial Intelligence) will be the ruler of the world," the press and analysts have created hysteria regarding the ramifications of artificial intelligence on everything from public education to unemployment to healthcare to Skynet. Note: artificial intelligence (AI) endows applications with the ability to automatically learn and adapt from experience via interacting with the surroundings / environment. See the blog "Artificial Intelligence is not Fake Intelligence" for a more detailed explanation on artificial intelligence and machine learning. The Fast Company article "How to Stop Worrying and Love the Great AI War of 2018," projected that the AI battle would ultimately boil down between the "AI Big 6": Alphabet/Google, Amazon, Apple, Facebook, IBM, and Microsoft.
If culture is a set of beliefs and behaviors that people pass from one generation to another, then is artificial intelligence becoming one? AI is certainly changing how people think about and interact with technology. Talking to your phone and expecting an intelligent response has quickly shifted from novelty to routine expectation. Self-driving vehicles orienting themselves in the physical world will soon shuttle us all over, changing how millions of commute hours are spent and our relationship with cars themselves. Inherent in AI is a capacity to learn, and to use this knowledge to advance the tasks it's been assigned to tackle.