Artificial intelligence (AI) is coming to a workplace near you -- in fact, maybe it's already arrived. From AI-powered virtual assistants to predictive features in everyday software, it's projected that one in five workers will experience the benefits of working with AI by 2022. Information technology is one segment of the workforce that understands AI's big-picture potential. IT leaders, product engineers and other forward-thinkers can easily envision how AI improves and augments the entire employee experience. Though there are still misconceptions and misleading hype surrounding AI, organizational leaders are already realizing the many benefits of the technology in business operations.

If you stumble over your grammar, take comfort in this: Tech companies are supercharging their digital grammar editors with artificial intelligence and machine learning in an attempt to make clear, persuasive writing easier than ever. Google became the latest to enter the game last week, when the tech giant announced it would be adding an artificial intelligence-powered tool that offers automatic detection of grammar mistakes while composing messages in Gmail, as well as auto-correction of some common spelling mistakes. The company introduced a similar AI-driven function to documents in G Suite earlier this year. While some education experts applaud the advancement of high-tech grammar tools as a way to help people more clearly express their thoughts, others aren't so sure. Artificial intelligence, according to the contrarians, is only as smart as the humans who program it, and often just as biased.

Ever wonder why Alexa is not Alex, which could actually be a nickname for either gender? It's actually ironic that a company with a name derived from a fierce warrior race of women just fell into the standard practice of casting the helper who takes orders from the user as female. In fact, the AI agent's name is derived from Alexandria, a city whose claim to fame in the ancient world was its library, according to Daniel Rausch, the head of Amazon's "Smart Home" division. He told Business Insider that it is to capture the idea of the original collection of volumes that housed "all the collective knowledge of the world at that time." But they could have just as easily considered the fact that the city was named for Alexander the Great, and gone with the name Alex, a nickname adopted by men and women.

Microsoft has hired Bill Stasior, the person who until recently was in charge of the Siri virtual assistant at Apple. In 2016 Microsoft established the Artificial Intelligence and Research engineering group in a reorganization. Months later the company added AI to its list of top priorities in its annual report. Last year Microsoft went further in another reorganization that placed some AI teams in the group working on Microsoft's Azure public cloud. Since then Microsoft has made AI acquisitions that have brought in additional talent, including Bonsai, Lobe and Semantic Machines.

What are some of the biggest challenges facing widespread implemention of AI? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. We have to recognize that we are adopting technology faster than our grandparents as this chart suggests but we want to go even faster. Given this adoption rate, we already observe AI permeating our lives' in areas such as FB image recognition, Siri, Echo, Google home & other Voice recognition apps, Optimized path maps, auto-complete sentences on email and Personalized recommendations. McKinsey's survey (Nov 2018) shows that 47% of its enterprise respondents have at least one core AI function compared to 20% in 2017 when a similar survey was done. While this indicates progress, AI is not easily achievable across all industries.

Back in the mid-60s, with text-based user interfaces, chatbots and conversational interfaces became areas of research for better customer service. Now with the advent of conversational interfaces, chatbots and virtual assistants have become an essential part of CRM operations. That being said, chatbots have become increasingly popular because of their ability to handle users' queries effectively. Their main benefit is that they enable businesses to improve their customer support services without affecting the user experience. STUDENT, an example of the early conversational interfaces was developed in 1964, eight years after John McCarthy coined the term Artificial Intelligence.

Artificial Intelligence (AI) is powering the banking industry's ability to increase customer engagement and deliver exceptional customer-driven experiences. Though many banks are still in the nascent stages of application, the use of AI is growing steadily across the enterprise. AI algorithms and advanced analytics are applied to make instant decisions using real-time data. This is to perform complex and intelligent functions associated with human thinking, unlike machines that react to rules-based logic or deliver predetermined responses. By combining and analyzing information from a variety of different sources--including sensors and remote inputs--AI can create a more efficient, informative, and secure banking experiences, delivering high value to the customer and increasing a bank's profitability.

Security: identifying suspicious transactions is one of the challenges of the future of banks. Some already use machine learning services, which can identify them instantly. Customization: in the future, services will be even more personalized. The recommendations system behind Facebook, Amazon and Spotify, where your friends suggest you what to do, is destined to spread on a large scale. Speed: the transfer of information and data will allow consumers, as already mentioned, a better and faster interaction with financial institutions.

Artificial intelligence in marketing uses online and offline customer data along with concepts such as machine learning, natural language processing, social intelligence, etc. to gauge your audiences' future actions. It allows you to target audiences with the appropriate message at the right time through the relevant marketing medium to guide them through the marketing funnel. In this article, we will look at how organizations can use artificial intelligence and Machine Learning (ML) in marketing to their full potential. We'll start by understanding the fundamental concepts, followed by their use cases and the benefits of AI and ML. John McCarthy, an American computer scientist, coined the term Artificial Intelligence in 1955. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.

According to Gartner's survey of over 3,000 CIOs, Artificial intelligence (AI) was by far the most mentioned technology and takes the spot as the top game-changer technology away from data and analytics, which is now occupying a second place. AI is set to become the core of everything humans are going to be interacting with in the forthcoming years and beyond. Robots are programmable entities designed to carry out a series of tasks. When programmers embed human-like intelligence, behavior, emotions, and even when they engineer ethics into robots we say they create robots with an embedded Artificial Intelligence that is able to mimic any task a human can perform, including debating, as IBM showed earlier this year at CES Las Vegas. IBM has made a human-AI debate possible through its Project Debater, aimed at helping decision-makers make more informed decisions.