Artificial Intelligence (AI) and Machine Learning (ML) are the most commonly used words that everyone has heard these days. But there are a lot who are still not familiar with them but come through these technologies every day. According to research, it states that 77% of the devices that are used currently have AI built-in them. From the very smart digital device to the youngster’s freak Netflix recommendation products like Amazon’s Alexa and Google Home, AI is the force behind which many modern technologies work that are now part of our daily lives.
Besides this, there are a lot of uses for Artificial Intelligence and Machine Learning. IBM’s Chef Watson created a ton Of possibilities with just four ingredients. Also, AI-powered virtual nurses such as Molly and Angel who had already saved lives while robots are assisted with everything from less productive procedures to open cardiac surgery. With the huge demand and great interest in these technologies, many new trends are emerging in this space.
Increasing the use of AI and Machine Learning
According to Gartner’s 2019 CIO Agenda survey, the percentage of the organization who bas adopted AI jumped from four to fourteen percentage between 2018 and 2019. Giving the benefits that AI/ ML offers in business analysis, risk management, R&D and resulting cost savings, AI implementation will continue to rise in 2020
However, there is much organization that adopts AI, and Machine Learning haven’t understood this technology fully. In fact, forty per cent of the European companies claim that AI start-up doesn’t use this technology, stated by Forbes.
The benefits of AI and ML are becoming evident day by day while businesses will need to step up and hire people with the right skills in implementing these technologies. Many are well on their way. According to some recent survey of Global 500 companies, it shows that most of those surveyed expect their investment in AI-related talent to increase by 50-100% over the next upcoming three years.
- Transparency Trends in AI
Despite being so omnipresent, AI still suffers from trust issues. As a business plan to increase their use of the system, they will have to do it more confidently as no one wants to trust those decisions of a system that they won’t understand.
Therefore, in 2020 there will be a greater push for deploying AI in a very transparent and defined manner. While companies would be working very hard in making efforts to understand how the AI models and algorithm works, AI/ ML software providers will be making sensitive ML solutions which will be more explainable to the users using it.
- Rising Emphasis on Data security and regulations
The new currency is said to be Data. In other words, it’s the most valuable resources that the organization are protecting and should even protect it. With AI and ML were out into the mix, it’s only going to increase the amount of data that they use to handle and the risks that use to be associated with it. For example, if today’s organizations backup and archive e massive amount of sensitive and personal data, which is predicted to become the top privacy risk for seventy per cent (70%) of the organization by 2020.
Regulations like GDPR and very recently, the California Consumer Privacy Act, which will be more effective this year that is 2020 – these have made violation again privacy which is very expensive. In 2019 alone, the Information commissioner’s office (ICO) issued a fine over 300 million dollars to British Airways and Marriott International for violating GDPR.
As the pressure increases to meet up with these regulations, companies will be in great need of data scientist and analyst.
- The overlap between AI and IoT
There’s a blurry in the lines between AI and IoT which are increasing. While both the technologies have independent qualities, are used together, are opening up better and are more unique opportunities. The confluence of AI and IoT is the reason why we have smart voices like Alexa and Siri.
So now the question arises why these two technologies work so well together? We can consider IoT as the digital nervous system and AI as the brain, which makes the decision. AI’s ability to glean insights rapidly from the data makes IoT systems more intelligent. Gartner predicts that by 2022, more than eighty per cent (80%) of enterprises IoT projects will incorporate with AI in some form, up from just 10% today.
This trend will give software developers and engineers a reason to add AI/ML capabilities to their resume.
- Augmented Intelligence is on the Rise
Till now, many are worried about the AI cannibalizing their jobs while the rise of Augmented Intelligence results to be a refreshing trend. It together brings the capability of both human and technology, which gives the organization the ability to improve the efficiency and performance of their workforce.
By 2023, it was predicted by Gartner that 40% of the infrastructures and operation teams in large enterprises would use AI-augmented automation, resulting in higher productivity. The employees should be skilled in data science and analytics to achieve optimal results.