Top 6 AI and Machine Learning Trends to look out for in 2021.4 min readReading Time: 3 minutes
AI and Machine Learning have been the hottest buzzwords in the decade that has gone by. According to a study, 77% of devices that we use in our day-to-day lives are now powered by AI and ML.
From platforms like Netflix and Facebook to products like Amazon’s Alexa and Google Home, AI has become the core of nearly every product and service that we come across.
In 2020, the enterprise world has also added to the capabilities of AI assistants, as they help build strong customer relationships and smooth business operations. No wonder Conversational AI has become a fascination of global businesses and SMEs alike.
The AI-ML Industry is growing rapidly and unlocking new avenues for enterprises aiming to bring vital changes in the ecosystem.
According to a Gartner study, around 37% of all companies reviewed were found utilising some type of ML in their business.
It is anticipated that around 80% of modern advances will be based around AI and ML by 2022. The Global Artificial Intelligence Hardware Market was valued at approximately USD 9.8 billion in 2019 and is pegged to grow with a healthy CAGR of more than 37.5% over the forecast period 2020-2027.
So, as we begin a promising decade in the New Normal, it becomes important to know about the trends of AI-ML that might follow.
Robotic Process Automation + Artificial Intelligence = Hyper-automation.
Hyper-automation was identified by Gartner, as one of the best technology trends to be used in an organisation for automation.
The pandemic has stepped up the adoption of the concept in which all the company’s operations should be automated including legacy business processes.
AI and ML are the significant drivers of hyper-automation.
If Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI) work in harmony to automate complex business processes, then hyper automation is a means for real digital transformation.
Power of Machine Learning (ML) + Internet of Things (IOT).
Kevin Ashton is considered as the father of IOT, which comprises a smart infrastructure connected via the internet to the cloud. The Internet of Things became a rapidly emerging segment in the last decade.
Economic analyst Transforma Insights has forecasted that the worldwide IoT market will comprise 24.1 billion devices by 2030, producing $1.5 trillion in income.
Arthur Samuel is the inventor of Machine Learning who defined this term in 1959. The utilisation of Machine Learning is progressively interlaced with IoT.
Machine Learning, Artificial Intelligence, and Deep Learning, for instance, are now being used to make IoT devices and services smarter and more secure.
Augmented Reality in Chatbots.
Artificial Intelligence together with Augmented Reality (AR) is considered one of the main enablers of the Internet of Senses (IoS), a megatrend from 2021 toward 2030.
Augmented Reality is quite a unique technology which actually takes customer engagement to a whole new level.
Innovation in this regard is an app or website for the users where a smart cognitive chatbot leverages augmented reality to facilitate the purchase decision, prompting customers with relevant recommendations and new experiences.
For example, if you want to see how trousers would fit you, you can use AR technology to determine the correct size for you by simply uploading a picture of yourself.
To dive a little deeper into the full range of use cases for chatbots and virtual cognitive assistants, read our article here.
Reinforcement Learning is the area of machine learning that can be used by companies in the future for deep learning, thereby improving the effectiveness of gathered data.
An ideal illustration of reinforcement learning is a cognitive virtual assistant that addresses simple user queries like greetings, order bookings, and consultation calls and through reinforcement learning builds and improves on these interactions giving it the ability to address more complex user queries such as product demos and human-like conversations.
Use of AI & ML in Business Forecasting and Analysis
This technology is already being used by experts to screen a set of data over a period of time which then is examined and utilised for making smart decisions.
With changing strategies, the ML networks can give conjectures with accuracy as high as 95%.
We will soon see organisations blending recurrent neural networks for high fidelity forecasting.
We are already witnessing the use of AI and ML to make smarter marketing and product decisions by capturing real time insights on customer conversations.
We have highlighted some ways where AI & ML are being used to make better marketing and sales decisions in an article here.
Increased adoption of Hyper Personalised and Contextual communication.
We have all heard of the saying that Content is King.
However, 2021 will bring in a change where we hear “Context is King”.
With the adoption of AI & ML tools and methods – we will see brands and organisations increasingly adopt a more personalised and context driven approach to communication.
Anything that we missed out? We would love to know your thoughts on the top AI & ML trends to look out for in 2021. Leave us a comment below!
This article first appeared on CXOoutlook.com as a featured editorial on 8th February, 2021.
The original article can be accessed here.