The vilification of AI is prominent in certain groups, with many thinking AI will replace human beings. Thankfully, the reality is that AI gives us humans countless benefits. The misconception of AI being sentient or a machine version of a human comes from science fiction and similar media. It is usually portrayed as a robot gaining sentience and pursuing shenanigans such as eliminating the human populace. In contrast, it is just a hyper-capable program that can better combine data with intelligent algorithms to produce an outcome. Currently, more than half of all corporate recruitment firms, such as Lensa, use AI to magnify the industry's potential for recruitment.

Read on to learn about the best AI-chatbot options for your business! We all expect a quick answer or result for almost everything today, especially if it's online. Unlike the pre-internet age, customers of the 21st century have many options. They also have an increasing desire for quick and efficient service round the clock, and brands are doing their best to adapt to their needs. AI Chatbots (Artificial Intelligence) have evolved over the same time to meet this demand.

Read on to learn several key ways AI can increase business productivity, including customer service, project management, and overall operations. Over the last few decades, we have seen a significant rise in technology adoption in everyday business. Organizations worldwide have undergone the digital revolution, embracing technologies that promise improved efficiency, productivity, and profitability. As a result, organizations have evinced interest in Artificial Intelligence (AI) and Machine Learning (ML). AI increases overall efficiency while assisting them to save the valuable time of their employees.

AI technologies are able to understand, analyze, and learn from data through specially designed algorithms, which are complex mathematical formulas and operations. There are various fields of artificial intelligence. Machine learning or ML, for example, is the ability of a machine to improve its performance via algorithms that work on previous results or interactions with the system. This allows ML technologies to learn without being explicitly programmed and to have multiple applications. Other types of artificial intelligence include deep learning, a branch of machine learning that employs sophisticated artificial neural networks inspired by the human nervous system to learn from data that doesn't need to be structured (unlike machine learning), and natural language processing (NLP), a linguistic tool enabling machines to read and interpret human language.

As Frank Newport, senior scientist at Gallup, expressed it: "Whether they know it or not, AI has moved into a big percentage of Americans' lives in one way or another already." Newport made the comment in light of the results of a 2018 Gallup consumer survey. It found almost nine of ten (85%) US adults use at least one service regularly that features some element of artificial intelligence. Almost half (47%) said they used smartphone personal assistants while 32% use ride-sharing apps, such as Uber and Lyft. Twenty-two percent have home personal assistants, such as Alexa and Google Home, and 20% use smart home devices, such as smart lights or smart thermostats.

We are now living in a digital economy. Organizations all over the globe are turning their much of their focus away from producing physical assets, and towards designing and developing digital products and services that either complement or completely replace their physical predecessors. Digital transformation initiatives are at the very top of business agendas across all industries, resulting in big changes and big demands being placed on enterprise IT operations. For many years, high demands have been placed on IT operations teams – and DevOps in particular – to become more agile and proactive so that their businesses can quickly embrace new technologies and practices in order to remain competitive. However, to meet these demands, IT operations has faced the challenge of keeping costs down on the one hand, while dealing with the increasing complexity of operations on the other.

You've no doubt heard the term being bandied around – but what is it, and what can it do for your organization? Let's begin with a definition from Gartner, the research firm which coined the term a couple of years ago, and has since been responsible for popularizing both the phrase and the concept. "AIOps platforms combine big data and machine learning functionality to support all primary IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data generated by IT. The platform enables the concurrent use of multiple data sources, data collection methods, and analytical and presentation technologies." Translation: AIOps is essentially an umbrella term to describe the use of machine learning and big data analytics technologies to automate the identification and subsequent resolution of common IT issues.

And we shouldn't expect the hype to die down any time soon. One day, of course, AI will become just another commonplace technology in our daily lives – much like the smartphone, the internet, the desktop and the pocket calculator all became at various points throughout recent history. But for now, AI is still an exciting new technology that's bursting with as yet unrealized potential, and 2019 will undoubtedly see some astonishing breakthroughs, as well as continued attention and enthusiasm from the media and tech spheres. But what sort of things can we expect? With 2018 now coming to a close, let's take a peep into our crystal ball and start asking what the future holds for AI and the impact it will have on businesses over the next twelve months.

Artificial intelligence (AI) is proving to be one of the most influential and game-changing technology advancements in the business world. As more and more enterprises go digital, companies all over the globe are constantly engineering new ways to implement AI-based functions into practically every platform and software tool at their disposal. As a natural consequence, however, cybercriminals too are on the rise, and view the increasing digitization of business as wide open window of opportunity. It should come as no surprise, then, that AI is affecting cybersecurity – but it's affecting it in both positive and negative ways. Cybercrime is a massively lucrative business, and one the greatest threats to every company in the world.

As such, it should be no surprise that many forward-thinking companies are already experimenting with artificial intelligence (AI) technology to improve their processes and service their customers better. Primarily, AI is currently being deployed in customer service as a means to either augment, or in some cases replace human agents. The primary goals of these initiatives are to improve the customer experience, and reduce costs associated with human service agents. While it is of course true that AI and automation technologies are not yet sophisticated enough to perform all of the tasks currently undertaken by human representatives, many routine consumer requests are simple enough for AI to handle without human input. Perhaps more importantly, AI can deliver a level of responsiveness to an influx of customer requests that isn't humanly possible – or at least isn't possible without spending a fortune on staffing.