7 Artificial Intelligence Trends For 2021

Artificial intelligence continues to become a more integral part of the business world and is beginning to creep in to nearly every new piece of software.  AI plays a role in operations, data management, DevOps and even the customer experience.  It is a rapidly evolving technology that will soon be adopted in some way by businesses of all sizes.  It’s also being adapted to be used by those without a true tech background.  Here we take a look at seven AI trends to keep up with in 2021.

1. Dynamic Operating Model

“Human behavior and human perception of opportunities and challenges will all go through a dramatic change in the years to come and companies must put in place a more dynamic operating business model. In a dynamic operating model AI will help spot exceptions sooner for companies to react in a dynamic environment and reduce the cost of decision making, increase quality and speed of decision making.”

2. Hyperautomation

“Hyperautomation is the combining of robotic process automation with artificial intelligence technologies. It’s frequently mentioned as a core aspect of the next wave of digital transformation, and it’s one of the coming AI trends of 2021.”

3. AI Structures Unstructured Data

“In the year ahead, enterprises will leverage machine vision and natural language processing (NLP) to facilitate the structuring of unstructured data such as images or emails, says ISG’s Butterfield. The goal? To create data that robotic process automation (RPA) technology can more readily use to automate transactional activity in the enterprise.”

4. Greater Cloud And AI Collaboration

“Rico Burnett, the director of client innovation at legal services provider Exigent, says that Artificial Intelligence will play a significant role in the broad adoption of Cloud Solutions in 2021. Through the deployment of artificial intelligence, it will be possible to monitor and manage cloud resources and the vast amount of available data.”

5. No-Code AI Will Make AI/ML Accessible For All

“Organizations will need to look for new, more sophisticated AutoML platforms that enable true no-code end-to-end automation. Automatically creating and evaluating thousands of features (AI-based feature engineering) and ML operationalization will be critical. The rise of AutoML 2.0 platforms will take no-code to the next level and finally begin to deliver on the promise of one-click no-code development.”

6. The New Home Micro-Branch Will Be Powered By AI

“With the home becoming the new enterprise micro-branch for a growing remote workforce, AIOps can give IT the end-to-end visibility needed to support its employees in the new norm post-Covid-19. This visibility will be crucial in helping IT teams support remote workers efficiently and provide the data needed to prevent similar issues from happening in the future. This should ultimately improve the overall user experience.”

7. AI-Powered Chatbots

“AI-powered chatbots, also known as Conversational AI, improves reach, responsiveness, and personalization of the customer experience. According to Forrester, AI-based Conversational AI evolves into a better customer service automation. An AI-powered chatbot uses natural language processing (NLP) and Machine Learning to better understand what the human says and needs and provides a more natural, near human-level communication.”

AI has an endless number of applications in the business world and those that are quick to harness its capabilities will have a decided leg up on the competition.  From operational efficiency to new product development, AI is here to stay.  Is your business ready for it?

Contact Alto9 today for a free consultation!

Apr 26 21
Michael Auer
%d bloggers like this: