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Top 10 Artificial Intelligence And Machine Learning Trends In 2021

ltdsolace profile image Solace Infotech Pvt. Ltd. ・4 min read

While the COVID-19 pandemic affected numerous aspects of how we do business, it didn’t reduce the impact of Artificial Intelligence(AI) on our day to day lives. It is turning out to be obvious that self-teaching algorithms and intelligent machines will play an important role in the ongoing battle against pandemic and others that we face in the near future. It is obvious that AI remains in trend and will change how we live, work and play. Artificial intelligence is a reason behind many technological comforts that are our daily lives, like smart gadgets, netflix recommendations, amazon’s alexa and Google Home. With continuous research, technology has made huge developments in fields like retail, healthcare, automotive, manufacturing and finance. Artificial Intelligence will keep on serving as a central technological innovation in 2021 and in the future. Let u see what we can expect in years to come.

Top 10 Artificial Intelligence And Machine Learning Trends-

1. Artificial Intelligence And Machine Learning In Hyperautomation-
Hyperautomation is a tech trend popular with other names as “Digital process Automation” and “Intelligent Process Automation”. It combines the appropriate technologies for automating, simplifying, discovering, designing, measuring, and managing workflows and processing across the organization. COVID-19 pandemic has rapidly increased the adoption of this concept where AI and ML are key components and its significant drivers. It includes some other technologies like robotic automation tools, but successful initiatives can’t depend on static packaged software. It is necessary for automated business processes to adapt changing circumstances and respond proactively to unexpected situations. Here comes the role of AI, ML models and deep learning. Adopting these algorithms and models with automated system’s data to make enhancements timely and respond to changing process and requirements of the business.

2. Augmented Analytics Will Transform Business Intelligence –
Augmented analytics uses ML and AI technologies for data preparation, insight generation, explanation to expand the way of exploration, data analysis in analytics and BI platforms. Artificial intelligence is proving to be a critical enabling technology, and enterprises need an efficient way to scale their AI practices and implement AI in business. Most of the times, organizations face high pressure to optimize their workflows, many companies will approach to BI teams to develop and manage AI/ML models. This empowers a new class of BI-based “AI developers” that will be driven by two factors-

  1. empowering BI teams with AutoML platforms is more sustainable and scalable than hiring dedicated data scientists.

  2. Because BI teams are closer to business use-cases than data scientist, the life-cycle from “requirement” to the work model will be accelerated.

Many BI vendors will offer AI capabilities like natural language processing, text analytics, predictive dashboards and so on.

3. Conversational Artificial Intelligence Bots-
The most creative approach to deal with client queries is using Chatbots. Conversational AI bots bring the power of AI through Natural Language Processing (NLP) and Natural Language Understanding (NLU). It allows the functionality of buttons and facilitates customer queries. Conversely, conversational AI Bots provides unlimited scalability with the help of machine learning. Natural language processing provides human experience to customers. With the help of conversational AI bots, users can file insurance claims, book healthcare appointments, apply for jobs, block their financial cards and so on. This helps businesses to automate their customer support, sales and knowledge support. For instance, companies can help employees not answer repetitive questions from clients or employees by automating the process. Conversational AI bots will manage all incoming queries through Automatic Semantic Understanding.

4. Artificial Intelligence For Cybersecurity Applications-
AI and Machine learning plays an important role in cybersecurity systems for both home security and corporate systems. Cybersecurity developers are continuously putting efforts on updating technologies to deal with new threats, DDS attacks, malware, ransomware and so on. AI and ML can help to identify these threats with earlier variants of threats too.

AI supported cybersecurity tools can collect data from the organization’s communication networks, transactional systems, digital action, websites, and also external public sources, and use AI algorithms for recognizing patterns and recognizing the threatening activity —, for example, searching suspicious IP addresses and possible data breaches. Today use of AI in home security systems is limited to systems that are integrated with user’s video cameras and alarm systems integrated with voice assistant. A popular research firm IHS believes that the use of AI will increase to develop smart homes in which the system knows habits and choices of occupants by improving its ability to identify intruders.

5. Virtual Gaming-
Today’s AI games don’t have robust environment for users. This is because of the lack of data storage needed to create these environments. The new advancements in AI technology will help in virtual gaming. You can expect the upcoming virtual games to be more realistic and interactive. Through machine learning, games can advance later on depending on character development taken by the user. Game developers are expected to learn new skills in AI to stay aware of the demands of its users, who at this point don’t remain content with the visualization. By incorporating virtual reality and 3D augmentation, they expect to enjoy games close to real life.

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