Artificial Intelligence and ML: 5 Trends to Watch Out for This Year
Nearly everyone has heard the buzzwords Artificial Intelligence (“AI”) and Machine Learning (“ML”) in recent years. Even those who don’t know these new technologies are almost with them. According to research,77%of the devices we use today have AI embedded in them. AI is responsible for many technological conveniences that have become part of our daily lives, including Netflix recommendations and a multitude of smart devices.
In recent years, almost everyone has heard of the buzzwords Artificial Intelligence (“AI”) or Machine Learning (“ML”). Even people who aren’t familiar with these technologies know a lot about them. Research shows that 77% of the devices we use have AI embedded within them. AI is responsible for many technological conveniences that have been integrated into our daily lives, such as Netflix recommendations and a variety of smart devices.
Many new trends are being created in this area due to the increased demand for these technologies. It’s exciting to look at the future of Machine Learning and Artificial Intelligence if you are a tech professional. Let’s now look at machine learning and AI trends.
Machine Learning and AI Trends
1. Increasing Use of AI and Machine Learning
According to Gartner’s 2019 CIO Agenda survey, the percentage of companies adopting AI has risen from 4 to 14% between 2018-2019, according to Gartner. AI/ML will continue to grow in 2020 due to the many benefits it offers in business analysis, risk assessment, and R&D.
Many organizations that adopt AI and Machine Learning aren’t well-versed in these technologies. Forbes reports that 40% of European companies that claim to be “AI startups” don’t actually use the technology.
AI and ML’s benefits are becoming increasingly obvious. Businesses will need to take action and hire the right people to help implement these technologies. Some are well on their path. KPMG’s survey showed that most respondents expected their investment in AI-related talent in the next three years.
Also read: Top 10 AI Technology Trends in 2021
2. Transparency Trends in AI
AI is so widespread, but trust issues still exist. Businesses will be more confident in using AI systems as they expand their business operations. It is not fair to trust decisions made by a system they don’t fully understand.
In 2021, AI will be more transparent and clearly defined. Companies will try to understand the AI algorithms and models, but AI/ML software providers must make complex ML solutions easier to understand for users.
Transparency is becoming a central conversation in the AI space. This will make it more important for professionals in the trenches in programming and algorithm development.
3. Rising Emphasis on Data Security and Regulations
Data is the new currency. It’s the most important resource organizations must protect. AI and ML will only increase the data that organizations handle and the associated risks. Today’s organization stores and back up large amounts of sensitive personal information. This is expected to be a major privacy risk for 70% in 2020.
Privacy violations have become very costly due to regulations like the GDPR and the California Consumer Privacy Act, which were both in effect in 2020. For violating GDPR, the Information Commissioner’s Office issued fines exceeding $300Mto British Airways International and Marriott International in 2019.
Companies will need data scientists and analysts to ensure compliance as they face increasing pressure to comply with these regulations.
4. The Overlap Between AI and IoT
It is becoming increasingly difficult to distinguish between AI and Internet of Things. Both technologies are capable of generating unique and better opportunities, even though they have their own strengths. The confluence between AI and IoT is what makes Siri and Alexa smart voice assistants.
Why do these two technologies complement each other? IoT can be described as the digital nervous system and AI as the brain responsible for making the decisions. IoT systems become more intelligent due to AI’s ability quickly to extract insights from data. Gartner predicts that more than 80% of enterprise IoT projects will include AIby 2022. This is an increase from the 10% currently.
This trend provides software developers and embedded engineers with another reason to add AI/ML capabilities.
5. Augmented Intelligence is on the Rise
Augmented Intelligence is a promising trend for those who are still concerned about AI destroying their jobs. Augmented Intelligence brings together the best of technology and humans, allowing organizations to increase efficiency and productivity.
Gartner predicts that40%of large enterprise infrastructure and operations teams will be using AI-augmented automation by 2023. This will result in greater productivity. To achieve the best results, employees must be proficient in data science and analysis or have the opportunity to learn about the latest AI/ML technologies.
We have anAI Career Guide to help you get started in the exciting field of AI. It will provide you with insights into the top technologies and hiring companies as well as the skills needed to make it a career. The career guide includes a personal roadmap to becoming an AI engineer. That’s right!
With 2021 just a few months away, we are eager to see how Artificial Intelligence and MLtrends develop and what new innovations they bring. These technologies have been around for some time, but they are still very much in their infancy. If you are a tech professional looking to keep up with the latest technology advancements, now is the right time. The AI Courses will provide you with all the information you need about AI and how it can help you succeed in your career.