What are the Latest Artificial Intelligence and Machine Learning Trends?

AI and ML are trendy topics today. But even those who have not heard of them make use of Artificial Intelligence Services daily.

Research shows that 77% of all the modern devices today have AI built-in. AI is the force behind many modern technological benefits that are part of our daily lives today.

Besides, there are several innovative uses for AI and ML For instance AI-powered virtual nurses and physicians are already saving lives and saving costs under COVID-19. Robots help with almost everything and anything like less invasive procedures to open-heart surgery.

The high demand and interest in AI and ML mean more trends are emerging globally. It's exciting to see what's going to happen in AI and ML in 2021. Let's explore and discover these trends in ML and AI.

1. Higher AI and ML Adoption

The percentage of organizations adopting AI grew from 4% to 14% from 2018 to 2019. The benefits of AI/ML are several in businesses. These include business analysis, risk assessment, research and development, and the savings rate, AI implementation continues to grow in 2021. As the benefits of AI and ML are evident, automation and artificial intelligence services have to empower and hire people with the right skills for these technologies. Recent surveys show that most investors expect their investment in AI-related niche to grow by a CAGR of 50% to 100% over the next three years.

2. AI Trends Transparency

It is becoming so ubiquitous, AI suffers from trust issues. As artificial intelligence service providers in USA plan to increase the use of artificial intelligence services, they will want to do so with more confidence. After all, no one wants to trust the decisions of a system they don't understand. 

Therefore, further efforts will be made to implement AI in a transparent and clearly defined manner in 2021. As companies strive to understand how AI models and algorithms work, software vendors in AI/ML will need to clarify more sophisticated ML solutions users.

As transparency becomes a key conversation in the AI space, the role of experts in the programming and algorithm development trenches will become more critical.


3. Increased focus on Data Security and Regulation

Data is the new currency. In other words, it is the most valuable resource that organizations must protect. With artificial intelligence and machine learning combined, this will only increase the amount of data they work with and the risks associated with it. For example, organizations today back up and archive large amounts of sensitive personal data, which by 2021 will become the biggest privacy risk for 70% of organizations.

As the pressure increases to comply with these regulations, companies will need to have scientists and data analysts to comply.

4. Overlap Between AI and IoT

The boundaries between AI and IoT are increasingly blurred. It's obvious the AI and IoT have independent qualities. But whenever used together, they open up better and unique possibilities. The use of AI and IoT is the reason there are several smart voice assistants like Alex and Siri.

But is AI and IoT so compatible? IoT can be seen as the digital nervous system and AI as the brain for decision making. The ability of AI to quickly extract information from data makes IoT systems smarter. Research shows that by 2022, more than 80% of company IoT projects will have AI, compared to just 10% today.

5. Augmented Intelligence is on the Rise

AI is on the rise with augmented intelligence a new refreshing trend. This brings together the best capabilities of people and technology. It not only empowers organizations to improve their efficiency but also the performance of their workforce.

The latest research predicts that 40% of infrastructure and operations teams in large enterprises will use automation by 2023. This is largely attributed to high artificial intelligence usage. However, this translates into increased productivity and efficiency. Definitely, employees must be trained in new data science and analytics aspects. Better still is to open new opportunities that improve their IT skills on the latest AI and ML technologies to achieve optimal results.

Conclusion

There is the all-round eagerness of seeing the latest innovations in Artificial Intelligence Services. AI and ML have been around for some time and are still evolving. For businesses to benefit from the latest AI and ML technological advances, 2021 promises key innovative breakthroughs.

Comments

  1. Thanks, for such a great post. I have tried and found it really helpful. I always prefer to read the quality content and this thing I found in you post.
    Click More

    ReplyDelete

Post a Comment

Popular posts from this blog

How RPA Is Helpful In Finance Industry?

Role of AI and Machine Learning in Healthcare Industry

Top Legacy EMR Support Partner Evaluation Criteria