The phrase "artificial intelligence" in pop culture often conjures up dystopian images such as the sentient computer Hal 9000 from the 1968 film "2001: A Space Odyssey" that killed people for its self preservation; or the cyborg assassin with a metal endoskeleton in director James Cameron's "The Terminator." In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution. On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects.

Artificial intelligence (AI) and machine learning (ML) have already changed the way we interact with each other and devices, and are poised to continually enhance markets, industries, and businesses globally. With ML and AI being used more rapidly, early adopters are experiencing significant competitive advantages. Arthur Samuel, an AI pioneer and the inventor of the first computerized checkers game, had a startling epiphany in 1959 that ultimately made today's algorithms possible. Up until then, most computer scientists assumed humans had to teach computers everything. Arthur Samuel realized computers could learn autonomously and coined the term "machine learning" (ML).

The rapid improvement in speech recognition technology, which over the past decade has given rise to virtual speech assistants such as Apple's Siri, Amazon's Alexa, Google Voice, Microsoft Cortana and others, is spilling into new areas that are beginning to have a significant impact on the workplace. These consumer speech portals have already raised extensive new privacy concerns. "Computers have a much greater ability to organize, access and evaluate human communications than do people," said Marc Rotenberg, the president and executive director of the Electronic Privacy Information Center in Washington. In 2015, the group filed a complaint with the Federal Trade Commission against Samsung, arguing that the capture and storage of conversations by their smart TVs was a new threat to privacy. Speech transcription potentially pushes traditional privacy concerns into new arenas both at home and work, he said.

Imagine you had an Artificial Intelligence assistant that drafted responses for you. Rather than your agents creating responses for your customers from scratch, they work with the AI assistant to create and send responses quickly and more accurately. SIDD is that AI assistant. SIDD lives on agents' desktops, empowering them to handle customer interactions more efficiently and with more empathy. Equipped with advanced intelligence, smart process automation, and independent learning capabilities, SIDD works beside, behind, and ahead of an agent to create better customer experiences.

While you may occasionally read negative headlines about artificial intelligence (AI) and virtual assistants, the reality is that it will make life better in most offices and even create work. It allows employees to better handle routine tasks and frees IT staff to focus on proactive measures that reduce security risks and network outages. It's been a catalyst for change in numerous industries. Much like how Alexa and Google Home have changed the way consumers interact with devices and accomplish daily tasks, conversational AI will have the same impact for employees. Getting answers to questions and finding information via conversation will no longer be the exception.

This article was originally published on CMSWire by Sean Zinsmeister, Vice President of Product Marketing at Infer. The buzz surrounding machine learning and artificial intelligence (AI) in the consumer world has rapidly bled over into the enterprise. Much of this hype stems from the new consumer trends that hint at the possibilities of AI, such as self-driving cars and intelligent voice-first products like Amazon's Alexa and Apple's Siri. At the same time, mainstream cloud adoption and ever-increasing computing power in the form of new solutions like Google Spanner are accelerating the development, accuracy and speed of AI's underlying foundations, from data availability and spam detection, to machine learning, predictive analytics and natural language processing. So it should come as no surprise that sales and marketing leaders are questioning what all this means for their departments and companies.

Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed. Think of how efficiently (or not) Gmail detects spam emails, or how good text-to-speech has become with the rise of Siri, Alexa, and Google Home. Machine Learning is an enormous field, and today we'll be working to analyze just a small subset of it. Supervised learning is one of Machine Learning's subfields. The idea behind Supervised Learning is that you first teach a system to understand your past data by providing many examples to a specific problem and desired output.

Amazon rolled out more than a dozen new devices today in its annual hardware event atop a biodome at company headquarters in Seattle, including eyeglasses and a ring that speak with Alexa, several new speakers, and lots of new devices for the home. Sprinkled in between hardware announcements were a bunch of new ways Alexa is getting smarter. In all, like last year, nearly a dozen new features were introduced today. Here are some of the standouts. One unique offering introduced today is the Education Skills API, a way for skills developers and school districts to connect with popular edtech services like Canvas, Kickboard, and Coursera.

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. The spookiest holiday of all is just around the corner--and you're going to need more than a few pumpkins scattered around your porch to properly decorate. Halloween is on Thursday, Oct. 31, which means you've only got a few weeks to add an eerie flair to your home before hoards of trick-or-treaters arrive. From smart plugs to spider webs, we've rounded up 10 essentials you'll need to decorate for this Halloween.

Artificial intelligence is the ability of computer or computer enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems. By extension, the goal of AI systems is to develop systems capable of tackling complex problems in ways similar to human logic and reasoning. It is the science and engineering of making intelligent machines, especially intelligent computer programmes. Artificial intelligence system understands language and its nuances, solves complex problems, recognises images and learns from experience. Machines thus replaces human driven processes to deliver work faster and more efficiently. AI is a major source and reason for the business productivity. Project management AI has proven its capability on enhancing the team performance and project outcomes. Leveraging AI to automate and improve data sets utilised in project execution will allow organization to realise optimal investment value in the project and potentially identify savings that could be leveraged for further investments in product development leading to organizational growth.