We live in a connected world. The data is overflowing in this world of mass connection. This massive amount of data with high-level complexity is simply beyond the human capacity to process, refine and use. So here comes the need for machine learning technology. Modern technology, now, allows people to connect virtually beyond expectations. 

We have arrived at the point where the ongoing automation of traditional industrial practices has significantly minimized the human interventions in most activities. Smart technology has replaced humans with machines that are more capable of organizing, processing, and getting the best out of the data created and collected in the past couple of years.     

The most advanced technologies such as IoT, artificial intelligence, nanoengineering, 3D printing, robotics, machine sensing, and blockchain accompany the industry 4.0 revolution. All these fancy technologies are gradually evolving and improving their core technologies with better processing and understanding of complex data – big data.      

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Machine learning has significantly redefined and broadens the scope of modern technology, meeting the constantly growing demands and expectations of the enterprises and eventually transforming the way they operate.

Today, ML-based technologies and applications are helping all industries, especially healthcare, finance, retail, media, and automotive.   

This article will focus on machine learning (ML) trends and how this technology is shifting its focus from mere data processing to creating more intelligent and more intuitive user interfaces for enhanced user experiences.   

RPA and IVA:
RPA (Robotic Process Automation) and IVA (Intelligent Virtual Agents), along with smart neural networks, make one of the most significant ML trends. RPA allows the automation of repetitive processes like you find in a manufacturing plant or supply chain industry. On the other hand, IVA, the AI-based humanoid computer, assists human employees to streamline and speed up their work process. This trend primarily focuses on increasing human efficiency and productivity within enterprises.

Immersive Applications:
Here, machine learning supports AR/VR technology to create applications capable of delivering virtual experiences similar to the real world. The central focus of these applications is to allow different industries, including eCommerce, retail, video games, entertainment, education, and military, etc., to interact with the user’s environment and capture his actions as they occur in real-time.  The primary function of this trend is to simulate the physical environment and deliver immersive experiences for users – placing them in an entirely virtual environment that appears pretty realistic.

Predictive Analytics:
This trend involves narrow AI and deep learning that allows the extensive development of neural networks. These are the intelligent systems that emulate and replicate the human brain. The machine learning models are used to establish the predictions based on computerized device’s previous behavior and preferences. It means that more accurate predictions can be established when more data is available to these neural networks. Predictive analytics has never been possible without machine learning. Now, enterprises can make more data-driven decisions for improved business operations.         

Voice-Enabled Solutions:
This machine learning trend facilitates the interaction between humans and technology applications in the most innovative way. It involves implementing voice-enabled software solutions that help users perform a particular task just by speaking to these solutions, such as Alexa, Apple’s Siri, and Amazon Echo. These voice-activated digital assistants have significantly replaced the simple, conventional interaction. As a result, you can use ML-backed voice recognition technology at the enterprise level to make your business the smartest among the fierce market competition.  

Cognitive Automation:
It is one of the most exciting and significant machine learning trends, giving more profound insight into your business. It’s revolutionizing every field, especially the financial industry, with truly massive benefits. In cognitive automation, a computerized device takes the raw data from a system to learn from it and generate the results that can be used to solve specific business problems. When paired with cloud computing in a machine learning solution, a computer can take a large amount of complex data, learning from it automatically and producing results that can be used to solve challenging business problems.

Last but not least machine learning trend involves data centers, cloud computing platforms, intelligent bots, and self-driving cars.

Wrap Up:
Machine learning is the core of successful digital transformation, providing value to enterprises and end-users. It has become one of the most preferred ways to predict the future, and these trends will continue to help businesses gain unprecedented efficiency and productivity. Throughout 2021 and beyond, these ML trends will bring more innovations and business opportunities to the table. In addition, you can expect to see these trends accelerating as more businesses will be adapting to modern, automated solutions and cloud models.

ArhamSoft (Pvt) Ltd. is an ISO-certified custom software development company with core expertise in advanced technologies, including but not limited to artificial intelligence, machine learning, and blockchain. We also provide white label enterprise solutions to businesses meeting their technology needs.