EMERGING AI AND MACHINE LEARNING TRENDS TO WATCH IN 2023
4 Emerging AI and Machine Learning Trends to Watch in 2023
The field of artificial intelligence (AI) and machine learning is rapidly evolving, with new developments and innovations happening all the time.
New research shows that 77% of devices we use every day have AI capabilities built into them. This includes everything from virtual assistants like Google Home and Alexa to smart devices and Netflix recommendations.
Not only that; a study by Forrester Research also indicates machine learning will be the most important skill set for most jobs ten years from now.
If you’re looking to start a new career in AI or machine learning, it’s important to stay on top of emerging AI and machine learning trends.
As we move into 2023, several emerging trends are worth keeping an eye on, as they are likely to have a significant impact on the field and the broader technology landscape.
Here are 4 emerging AI and machine learning trends to watch in 2023
1. Increased Use of Edge Computing
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data, such as sensors or devices. This can enable faster, more efficient processing of data, as well as reduced latency and improved reliability.
In 2023, we are likely to see an increased use of edge computing in AI and machine learning applications, as it enables real-time processing and decision-making.
2. Greater Adoption of Explainable AI
Also known as XAI, Explainable AI refers to AI systems that can provide human-understandable explanations for their decisions and actions.
In the past, many AI systems have been seen as "black boxes" that are difficult to understand or interpret. However, as AI is increasingly used in critical decision-making scenarios, there is a growing need for systems that are transparent and explainable.
In 2023, there will be a greater focus on explainable AI and the development of new techniques and approaches for making AI systems more transparent and interpretable.
3. The Rise of AI-powered Virtual Assistants
Virtual assistants like Siri, Alexa, and Google Assistant are AI-powered software systems that can interact with users in a natural, conversational way. These systems are becoming increasingly sophisticated, with the ability to understand complex queries and provide useful and relevant responses.
We are likely to see the continued growth of virtual assistants and the expansion of their capabilities in 2023. Plus, we can expect to see an increasing number of applications for these systems, from customer service and e-commerce to education and healthcare.
Because these systems are also becoming increasingly common in homes and business, they are likely to become even more widespread as they evolve and improve.
4. Increased Use of AI and Machine Learning in Healthcare
AI and machine learning have the potential to transform the healthcare industry, by enabling faster, more accurate diagnosis and treatment of diseases.
AI-powered virtual nurses like “Molly” and “Angel” are already saving lives while robots are assisting with various processes, such as less invasive procedures to open-heart surgery.
As more and more hospitals and healthcare providers adopt these technologies to improve patient care, we can expect to see an increased use of AI in the healthcare industry in 2023.
The application of AI and machine learning in healthcare could include everything from image analysis, natural language processing, predictive analytics, as well as the development of new AI-powered medical devices and diagnostic tools.
The Future of AI and Machine Learning
The New Year 2023 is already upon us, and we can’t wait to see what the future of AI and mchine learning looks like. What we do know for sure is that these 4 trends are likely to shape the field of AI and machine learning not just in 2023 but beyond.
By keeping an eye on these developments, you can stay up-to-date with the latest innovations and opportunities in the field, and position yourself to take advantage of the opportunities they present.
As a tech professional, if you’re looking to learn the latest advancements in technology, now is the time to learn.