AI & Machine Learning: Top 5 Emerging Trends To Watch Out For in 2021
By: Vishnu Narayan
Tags: AR, Trends, Artificial Intelligence, AI, Machine Learning

Machine Learning (ML) and Artificial Intelligence (AI) are buzzwords that almost everybody has heard these days. But for those who are not acquainted with them almost every day, experience these new technologies. Research shows that 77% of the devices we use at present have AI built into them. AI is the force behind many new technological comforts that are now part of our day-to-day lives, from a bevy of “smart gadgets to Netflix recommendations to products like Amazon’s Alexa and Google Home.

Also, Artificial Intelligence and Machine Learning have plenty of creative applications. Think of Chef Watson of IBM, who could create a quintillion potential combinations from only four ingredients. Besides, virtual nurses powered by AI such as “Molly” and “Angel” are already saving lives and expenses, while robots help with anything from less invasive procedures to open-heart surgery.

Several new trends are emerging in this space with the increase in demand and interest in these technologies. It is inspiring to see what is next in the field of Artificial Intelligence and Machine Learning, whether you are a technology professional or engaged with technology in any way. So let us discuss the developments in machine learning and AI.

Top Machine Learning and AI Trends Of 2020

1. Increasing AI and machine learning use

The number of organizations implementing AI jumped from four to 14 percent between 2018 and 2019, according to the 2019 CIO Agenda survey by Gartner. AI adoption will continue to increase in 2020, given the advantages of AI/ML in market analysis, risk evaluation, R&D, and resulting cost savings.

However, these innovations are not entirely understood by many organizations that implement AI and Machine Learning. In reality, Forbes points out that technology is not used by 40 percent of European companies claiming to be ‘AI startups.’

Although AI and ML’s advantages are becoming more evident, organizations will have to step up and employ individuals with the right expertise to adopt these technologies. Some are on their way well. A recent survey by KPMG of Global 500 companies reveals that most of those surveyed expect their AI-related talent investment to grow by 50–100% over the next three years.

2. Transparency Trends in AI

AI, being so universal, suffers from confidence problems. They would want to do so more confidently, as corporations expect to expand their use of AI systems. No one, after all, wants to trust a system’s decisions that they do not understand.

In 2020, there will be a more significant push to deploy AI in a transparent and clearly defined manner. While businesses will understand how AI models and algorithms operate, providers of AI/ML software will need to make sophisticated ML solutions more explainable to users.

With openness being an essential discussion in the AI room, professionals in the trenches of programming and algorithm development will become more critical.

3. Growing focus on data security and Regulations

The New Currency is Details. In other words, it is the most crucial resource needed to secure organizations. With AI and ML being thrown into the mix, the volume of data they manage, and its risks will only increase. For instance, large quantities of confidential personal data are backed up and archived by today’s organizations, which is expected to become a top privacy concern for 70 percent of organizations by 2020.

Regulations such as GDPR and, more recently, the Consumer Protection Act of California, which will become effective in 2020, have made breaches of privacy very costly. In 2019 alone, for GDPR breaches, the Information Commissioner’s Office (ICO) levied fines of over $300 million to British Airways and Marriott International.

If the pressure to comply with these regulations mounts, businesses would need to have data scientists and analysts on hand to remain compliant.

4. The Overlap Between IoT and AI

There is a growing blurring of the boundaries between AI and IoT. Although both innovations have individual characteristics, used together, better and more unique possibilities are opened up. The confluence of AI and IoT is why we have intelligent voice assistants such as Alexa and Siri.

So, why are these two technologies working together so well? You should perceive IoT as the artificial nervous system and AI as the decision-making brain. The ability of AI to gain ideas from information quickly allows IoT systems more intelligent. More than 80% of enterprise IoT projects will implement AI in some way by 2022, Gartner forecasts, up from just 10 percent today.

This trend provides one more justification for software developers and embedded engineers to add AI/ML capabilities to their resume.

5. Augmented Intelligence is on the Rise

The emergence of Augmented Intelligence should be a refreshing development for those who might still be concerned about AI cannibalizing their work. It incorporates the best strengths of both humans and technology, offering companies the opportunity to enhance their workforce’s productivity and performance.

By 2023, Gartner forecasts that AI-increased automation would be used by 40 percent of infrastructure and operations teams in large companies, resulting in higher productivity. Of course, their workers should be specialized in data science and analytics or update to the new AI and ML technologies to achieve optimum performance.

The Glorious Future of AI: It Is Only Getting Started

Augmented reality applications can solve IoT profit from AI techniques, but rendering limitations. It is recommended to involve data scientists in creating a virtual fitting room app to create a custom AI-based pose evaluation model for virtual function attempts.

AI technologies’ growth will continue to be fuelled by advancements in hardware, computing power, and other technical specifications.

Are you fascinated by learning more about trending algorithms for machine learning? Do you want to see different use cases for these technologies? To discuss your product, get in touch with an expert crew today!