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) …
In transforming our world, AI and automation are blurring boundaries between tasks performed by machines and humans. As a result, certain traditional roles are disappearing and new ones forming. In the wake of this disruption, emotional intelligence (EI) offers some recourse for both employees and employers. Seventy-four percent of employers and 58% of non-supervisory employees are convinced that EI will be a key requisite for success in the years to come. EI is, after all, the one area AI finds it difficult to replicate.
Put simply, reinforcement learning is a machine learning technique that involves training an artificial intelligence agent through the repetition of actions and associated rewards. A reinforcement learning agent experiments in an environment, taking actions and being rewarded when the correct actions are taken. Over time, the agent learns to take the actions that will maximize its reward. That's a quick definition of reinforcement learning, but taking a closer look at the concepts behind reinforcement learning will help you gain a better, more intuitive understanding of it. The term "reinforcement learning" is adapted from the concept of reinforcement in psychology.
For government to earn the trust of the American people, it needs to do a better job of meeting their needs. As such, it is essential that agencies empower the civil servants responsible for improving program performance. However, a new Bipartisan Policy Center report finds that the individuals charged with that task are also the same people responsible for overseeing compliance with laws, rules, and regulations. This "double duty" limits the time staff have for work essential to improving mission performance. To address this, the BPC task force report, "Oversight Matters: Balancing Mission, Risk, and Compliance," recommends devoting more resources to better target oversight efforts by employing a risk-based framework aimed at improving performance.
The HR function is changing with technology. There is no doubt that technology has changed the roles and responsibilities of essentially all employees within nearly every industry over the last few decades, but none more than those in the IT department, and most directly those leading the IT department. With the role of CIO often encompassing both IT and HR processes, it is clear that the two departments are growing increasingly dependent on one another to function efficiently. According to a recent report by Sage, 82 percent of HR leaders anticipate that their role will be unrecognizable in 10 years' time, thanks in large part to the transformation from HR to a "People" function and the adoption of technology. This "People" function will incorporate "Operations", which accounts for productivity, employee loyalty, change management and even tech adoption.
Those working at L1 and L2 of IT operations, those running the data centres and service desks, are inundated with requests 24/7. This problem is one CIOs and managed service providers (MSPs) are all to familiar with and was the inspiration behind the genesis of Ayehu -- "how can we help individuals and companies with the pain of having to be constantly available," asked Gabby Nizri, the CEO and founder of the company? It takes time to find the problem and a solution in IT operations, "so the idea was to create a virtual operator to replace live people working at L1 of IT operations, which was inefficient anyway," he answered. "The vision was to run IT operations autonomously." Ayehu is a subscription-only automation orchestration company, focused on getting rid of inefficient IT operations.
Mobile operators are integrating AI-enabled applications and edge-cloud computing with their 5G networks to accelerate enterprise digital transformation and unleash new business opportunities. According to the Computing Technology Industry Association (CompTIA), IoT, artificial intelligence and 5G networks are among the emerging solutions offering the greatest business and financial opportunities in the digital age. These technologies have the power to transform the business landscape and how enterprises operate on a daily basis, and they could transform the productivity and growth speed of small or large corporations. These emerging technologies must process and transmit massive quantities of data in real time, something only possible with 5G and AI. The increased speed and capacity of 5G networks enhanced by artificial intelligence will enable the development and spread of technologies such as autonomous vehicles, smart cities, and virtual reality.
For some time now, industry prognosticators have hyped Artificial Intelligence (AI) and Machine Learning for their transformational potential. The possible use cases for AI are so broad, and their potential value to the enterprise so significant, it's easy to dream the day away imagining AI-powered robots managing all of our challenging (and tedious) tasks. To get a sense of how AI is driving the evolution of content management, it helps to understand where things stand now. Organizations are drowning in content, which is often stored across multiple systems that don't talk to others. Research validates the pain organizations are feeling.
This post was originally posted in ChatCreate's blog. If you're running a support operation with thousands of chats and tickets, chances are you've probably looked into optimising things with a chatbot. Even with well maintained knowledge bases and self-service infrastructure, your agents still spend a significant amount of their time answering questions like "how can I get a refund?" or "I can't log into my account". If you're looking to setup a chatbot for your Zendesk support system, you'll quickly realise that there's not many options out there to choose from. You'll want a solution that is able to understand what the customers are asking, either respond with an appropriate answer or quickly hand over the conversation to a human agent.
Digital agencies are bound to change in 2020. Their revamp has everything to do with martech, automation, and Artificial Intelligence. Here are the 5 major industry pitfalls and the solutions that the latest tech advancements have devised for them, says, Oana Alexandrov, Content Writer, Product Lead. The new year is bound to catch digital agencies under piles and piles of new job attributes. They are feeling the dizzying speed at which the changes in eCommerce are happening.
The world has experienced four industrial revolutions and as each has unfolded, so have dire predictions of massive job losses. Looking back at the first three, it is clear that concerns were misplaced. The number of jobs increased each time, as did living standards and every other social indicator. McKinsey predicts that 800 million workers could be displaced in 42 countries -- a third of the workforce -- because of the Fourth Industrial Revolution (4IR). Although similar predictions were made at the onset of each revolution of the past, could there be something more to it this time?