Artificial Intelligence (AI) and Machine Learning (ML) are terms that almost everyone is familiar with these days. Even individuals who are unfamiliar with these new technologies come into contact with them daily. According to research, AI is now incorporated into 77% of the products we use today. AI, ML is the driving force behind many modern technology pleasures that are now part of our daily lives, from a slew of “smart” gadgets to Netflix suggestions to items like Amazon’s Alexa and Google Home.

Aside from that, AI, ML has a slew of unique uses. Take, for example, IBM’s Chef Watson, who can create a quintillion distinct combinations using only four ingredients. Moreover, AI-powered virtual nurses such as “Molly” and “Angel” are already saving lives and reducing costs, and robots are assisting with anything from basic surgeries to open-heart surgery.

Many new trends are emerging in this field due to the increased demand and interest in these technologies. It’s interesting to see what’s next in the realms of Artificial Intelligence and Machine Learning, whether you’re a tech professional or associated with technology in any way. So, let’s have a look at the latest machine learning and AI developments.

AI And ML Trends

  • Using Technologies Widely

As per a study, AI uses increased from 4% to 14% between 2018 and 2019. AI, ML deployment will continue to grow in 2020, thanks to the benefits provided in business analysis, risk assessment, R&D, and cost reductions.

Many companies that use Artificial Intelligence and Machine Learning, on the other hand, don’t correctly comprehend these technologies. Indeed, 40 percent of European ‘AI companies,’ according to Forbes, do not use the technology.

While the benefits of AI and ML trends have become more evident, businesses will need to step up and hire people who have the skills to put these technologies into effect. Some of them have made tremendous progress already. According to a recent KPMG survey of Global 500 companies, most of those asked expect to increase their investment in AI-related capabilities by 50% to 100% over the next three years.

  • AI Transparency Trends

Despite its widespread use, AI is plagued with skepticism. As they plan to grow their use of AI, ML systems, businesses will strive to deploy AI systems with more confidence. After all, no one wants to trust a system they don’t understand.

As a result, a more significant push for transparent and well-defined AI deployment will be made in 2021. While organizations struggle to comprehend how AI models and algorithms work, AI/ML software providers will help customers understand more complex ML solutions.

As transparency becomes a major topic of discussion in the AI field, the duties of professionals who work in the trenches of programming and algorithm development will become more critical.

  • Critical Data Security And Regulations

The new monetary unit is data. To put it another way, it’s the most critical asset that businesses must safeguard. With AI and ML Trends brought into the mix, the quantity of data they manage and the hazards that come with it will only grow. For example, today’s businesses back up and vast archive volumes of sensitive personal information, which is expected to become a major privacy issue for 70% of companies by 2020.

GDPR and, more recently, the California Consumer Privacy Act — both of which go into force in 2020 — have made privacy infractions extremely costly. British Airways and Marriott International were fined over $300 million by the Information Commissioner’s Office (ICO) for GDPR violations in 2019.

Companies will need data scientists and analysts on hand to be compliant as the need to comply with these requirements increases.

  • The Intersection Of AI And IoT

The lines between AI and the Internet of Things are blurring. While each technology has its benefits, they provide more significant and more distinct opportunities when they are joined. Because of the confluence of AI and IoT, we now have intelligent voice assistants like Alexa and Siri.

So, what is it about these two technologies that make them so complementary? The internet of things (IoT) may be equated to the digital nervous system and artificial intelligence to the decision-making brain. Because of AI’s ability to extract insights from data fast, IoT systems have gotten more complex. According to Gartner, more than 80% of commercial IoT projects will utilize AI in some form by 2022, up from only 10% now.

Another reason for software developers and embedded engineers to include AI, ML abilities in their resumes is this breakthrough.

  • Increased Use Of Augmented Intelligence

For those concerned that AI would eat away at their work, the advent of Augmented Intelligence should be a welcome trend. It brings together the finest qualities of humans and technology, allowing businesses to increase their workforce’s productivity and performance.

Gartner expects that by 2023, 40% of extensive business infrastructure and operations teams will employ AI-augmented automation, resulting in increased efficiency. To get the best outcomes, their workers should be knowledgeable in data science and analytics or have the option to upskill on the newest AI and ML technologies.

If you want to work as an AI specialist, we offer an AI job guide that will teach you about the most cutting-edge technology, top hiring firms, and the skills you’ll need to get started in the booming field of AI. A tailored route to becoming a successful AI engineer is also included in this career guide.

Conclusion

We’re looking forward to seeing how these AI and ML Trends pan out and what advancements they offer in 2021, which is only a few months away. These technologies are still in their infancy, even though they have been around for a long time.

So, if you wish to integrate artificial intelligence and machine learning trends in your business, contact the ONPASSIVE team.