will soon be everywhere, and we will learn to love them for all the right reasons. That is my prediction after seeing the latest research about these fast-evolving technologies. Read on for a quick update on 2020 AI trends from leading industry analysts.
Expect Booming Growth for AI and Machine Learning
Begin with the big picture: analysts said that AI 鈥� with a particular emphasis on machine learning 鈥� will eventually infiltrate just about every existing technology. predicted companies will invest over $265 billion worldwide in new intelligence technologies by 2023.
Slightly further out, researchers predicted that AI will be inescapable by 2025. These analysts saw AI as a 鈥渒ey ingredient鈥� in 90 percent of business software applications. They also said that over 50 percent of user interface interactions will incorporate AI into computer vision, speech, natural language processing, and augmented and virtual reality. analysts called automation 鈥渁 force-multiplier that will disrupt economic opportunity for many鈥� a dynamic already underway that will pick up substantial speed and scope and requires attention now.鈥�
AI: Fastest Route to Victory
One pervasive theme in 2020 AI trends was speed, or as many analysts called it, 鈥渉yper-automation.鈥� analysts predicted that hyper-automation will spread big-time, notably into more traditional knowledge worker tasks. By 2024, IDC said AI-fueled enterprises with 鈥減roactive, hyper-speed operational changes and market reactions, will respond to customers, competitors, regulators, and partners 50 percent faster than their peers.鈥�
Regarding customer experience (CX), researchers saw near-real-time experiences becoming table stakes for most industries as companies were pressured to build matching real-time customer experience signals. Forrester researchers predicted that CX leaders will manage a 鈥減ortfolio of automation experiences, from the building and testing of data to the delivery and perceived value (or lack of value) of those experiences.鈥�
Humans Plus Machines: The New Norm
Here is the kicker, and it鈥檚 heartening to us humans: researchers said that AI and machine learning will not completely replace people because 鈥淎I-driven autonomous capabilities鈥� cannot match the human brain鈥檚 breadth of intelligence and dynamic general-purpose learning. Instead, they focus on well-scoped purposes, particularly for automating routine human activities.鈥�
analysts picked up the human-machine thread, predicting that work will depend on 鈥渁 symbiotic relationship between [hu]man and machine. This is not a [hu]man-led, machine-do structure; instead it will match leadership, decisioning, and executive tasks across robots and machines that best deliver the desired outcome.鈥�
Additionally, about those 90 percent of enterprise applications that IDC predicted will be chock-full of AI, the same researchers said most will 鈥渄eliver incremental improvements to automate processes and replace heuristic or rule-based techniques to make applications smarter and more dynamic.鈥�
How Machine Learning Benefits Daily Business
There are many places in the business where a strategic dose of AI and machine learning will quietly, yet dramatically change how people work and companies operate. These include order to cash, design to operate, customer experience, and procurement.
In this demonstration at the event, I saw how image-based recognition helped automate the procurement experience. It showed how a buyer ordering everyday equipment 鈥� such as a laptop, keyboard, or mobile device 鈥� would not need to type in product names or model numbers. The buyer could simply take a picture of the product on their mobile device and the algorithm would quickly find the exact product or suggested comparable items from the supplier catalog.
鈥淭his just one example of how we鈥檙e applying machine learning in small steps in hundreds of places across 51风流solutions,鈥� said Jana Richter, chief product owner of 51风流Leonardo Machine Learning Applications. 鈥淚t doesn鈥檛 completely change procurement, but brings automation and convenience where it counts 鈥� in this instance, to image-based purchasing.鈥�
What the AI Future Holds
In latest surveys, respondents who wanted AI to help with tasks outnumbered those who wanted AI to completely take over tasks three to one. That is likely because the same respondents ranked, in order of importance, their top-three reasons for using AI as: automating repetitive or manual tasks, improving customer experience, and reducing costs.
As for where people come in, analysts advised workers to learn core skills, adapt to new working models, and 鈥渦nderstand what it means to be ready and fit for the future, maximizing their 鈥楻obotics Quotient (RQ).鈥欌�� For the uninitiated, Forrester coined the term RQ, which scores someone鈥檚 ability to work with machines.
Naturally, analysts have caveats about AI鈥檚 growing prevalence, but that鈥檚 for another article.
Follow me @smgaler
This article first appeared on the 51风流News Center.
