AI News, Artificial intelligence predictions for 2020

The Top 10 Artificial Intelligence Trends Everyone Should Be Watching In 2020

Artificial Intelligence (AI) has undoubtedly been the technology story of the 2010s, and it doesn't look like the excitement is going to wear off as a new decade dawns.

The past decade will be remembered as the time when machines that can truly be thought of as “intelligent” – as in capable of thinking, and learning, like we do – started to become a reality outside of science fiction.

AI will increasingly be monitoring and refining business processes While the first robots in the workplace were mainly involved with automating manual tasks such as manufacturing and production lines, today's software-based robots will take on the repetitive but necessary work that we carry out on computers.

This automation – known as robotic process automation – will free us from the drudgery of time-consuming but essential administrative work, leaving us to spend more time on complex, strategic, creative and interpersonal tasks.

AI allows providers of goods and services to quickly and accurately project a 360-degree view of customers in real-time as they interact through online portals and mobile apps, quickly learning how their predictions can fit our wants and needs with ever-increasing accuracy.

Just as pizza delivery companies like Dominos will learn when we are most likely to want pizza, and make sure the 'Order Now' button is in front of us at the right time, every other industry will roll out solutions aimed at offering personalized customer experiences at scale.

Simulations have advanced to the stage where car manufacturers and others working on the development of autonomous vehicles can gain thousands of hours of driving data without vehicles even leaving the lab, leading to huge reductions in cost as well as increases in the quality of data that can be gathered.

AI increasingly at the “edge” Much of the AI we’re used to interacting with now in our day-to-day lives takes place “in the cloud” – when we search on Google or flick through recommendations on Netflix, the complex, data-driven algorithms run on high-powered processors inside remote data centers, with the devices in our hands or on our desktops simply acting as conduits for information to pass through.

In videogames, AI will continue to be used to create challenging, human-like opponents for players to compete against, as well as to dynamically adjust gameplay and difficulty so that games can continue to offer a compelling challenge for gamers of all skill levels.

And while completely AI-generated music may not be everyone’s cup of tea, where AI does excel is in creating dynamic soundscapes – think of smart playlists on services like Spotify or Google Music that match tunes and tempo to the mood and pace of our everyday lives.

AI will become ever more present in cybersecurity As hacking, phishing and social engineering attacks become ever-more sophisticated, and themselves powered by AI and advanced prediction algorithms, smart technology will play an increasingly important role in protecting us from these attempted intrusions into our lives.

With the advent of deep learning and semi-supervised models of machine learning such as reinforcement learning, the algorithms that attempt to match our speech patterns and infer meaning from our own human language will become more and more able to fool us into thinking there is a human on the other end of the conversation.

AI Chatbot Technology Predictions for 2020

As we enter 2020 and embrace a brand new decade, technology acceptance is continuing to accelerate for a broad range of industries.

Now fast forward to next year, and I think the bigger problem that we are going to see is an explosion of chatbots across the organization which is what we call “chatbot soup.” Unlike portals where there is typically one portal per department, what we are now seeing is that departments are actively deploying chatbots for individual applications as well as to support departmental functions.

4 years later better NLP algorithms and a more mature technological infrastructure means we’ll start seeing some notable success stories and enthusiasm will climb.” “Voice search will become a key component of the customer experience,” commented Nali Giliana, Vice President of Digital Experience at OpenText.

Voice search, in particular, will see significant uptake next year due to its simplicity, and with the adoption of AI-supported intelligent assistants like Google Assistant and Amazon Alexa slated to expand, brands will face added pressure to change the design of their customer experience to include voice search.” “Insight engines will become a constant companion,” commented Daniel Fallmann, founder and CEO of Mindbreeze.

“According to Gartner, by 2022, 40 percent of employees will consult AI agents before making decisions in day-to-day business.Conventional softwarebots can’t handle this task because, in reality, they don’t have anything to do with AI and only operate according to a manually created and stored decision tree.

Adoption of voice search will be spurred by improvements in natural language processing, bringing voice search to the forefront in 2020 as consumers become more accustomed to interacting with voice-activated smart devices like Google Home and Amazon Echo.” “The journey of the bots and their mainstream adoption:In 2020, the average consumer may just converse with a chatbot more than they speak with coworkers, family members or even their spouse, as the demand for an instant response at any time continues to bubble up,” commented Zachary Jarvinen, Head of Technology Strategy, AI and Analytics at OpenText.

Additionally, chatbot implementation will also expand into the workplace in new ways to help with recruiting, training (via knowledge assistants), and overall efficiency (via virtual assistants), becoming more intertwined with all facets of life.” “Chatbots will be your new assistant,” commented Dave Wright, Chief Innovation Officer of ServiceNow.

10 Ways AI Is Going To Improve Fintech In 2020

machine learning will improve Fintech in 2020 by increasing the accuracy and personalization of payment, lending, and insurance services while also helping to discover new borrower pools.

Fintech startups, enterprise software providers, and the investors backing them believe cloud-based payments, lending, and insurance apps are must-haves to drive future growth.

public cloud infrastructure and mobile apps, Fintech is evolving into a fourth platform that provides embedded financial services to any business needing to subscribe to them, as Matt Harris of Bain Capital Ventures writes in Fintech: The Fourth Platform - Part Two.

Accenture’s recent survey of C-suite executives’ adoption and plans found that 84% of all executives believe they won’t achieve their growth objectives unless they scale AI, and 75% believe they risk going out of business in 5 years if they don’t.

Airbnb Claims Its AI Can Predict Whether Guests Are Psychopaths

According to patent documents reviewed by the Evening Standard, the tool takes into account everything from a user’s criminal record to their social media posts to rate their likelihood of exhibiting “untrustworthy” traits — including narcissism, Machiavellianism, and even psychopathy.

We use predictive analytics and machine learning to instantly evaluate hundreds of signals that help us flag and investigate suspicious activity before it happens.” It’s hard to say whether an AI can actually predict whether a person is a psychopath — or at least someone you wouldn’t want inside your home — solely from the information about them online.