As the topic of this blog suggests, we are going to discuss the impact of state-of-the-art technologies i.e. Artificial Intelligence and Machine Learning in the year 2020. Many predictions are already made on these technologies and most of which do hold ground. In 2020, the advancements of Artificial Intelligence and Machine Learning are going to be superimposed on the technology landscape more firmly and apparently than before. So, before we dodge into the Machine Learning and AI trends to look for in 2020, let’s have a quick review of what technology experts have to say:
According to a recent report by IDC, global spending for AI will reach $97.9 billion in 2023, up almost 3 times from $37.5 billion in 2019
By 2022, more than 3/4 of companies will use deep Neural Networks, rather than the classical machine learning
The estimated value of the US Deep Learning market will be worth $935 Million by 2025, emphasizing the popularity of ML.
As now you have a rough estimation of where these technologies going to be in the future, you can also imagine their worth for you. To help you understand how beneficial AI and ML are going to be for you in the upcoming year, I have compiled a list of top artificial intelligence and machine learning trends 2020.
1. Internet of Things (IoT)
AI is blending with the Internet of Things, which will benefit real-time and post-event processing. It will give you the ability to respond to the decisions quickly and in real-time, if necessary. The combination of AI and the Internet of Things connects devices in the network and ensures better performance. Industrial IoT is the top application of Artificial Intelligence that can perform root cause analysis, outlier detection, and predictive maintenance of the machinery.
Advanced Machine Learning models based on deep learning and neural networks will be optimized to perform at the edge. These models will be robust enough to deal with videos, audios, time-series and unstructured data streams generated by cameras, mics, and other sensor devices.
Gartner has also included automation while listing top trends of AI and ML for 2020. Hyper-automation is a combination of several ML, packaged software, and automation tools brought together intending to deliver work, referring to multiple stages of automation such as discovery, design, automation, assessment, and reassessment. The major impact of hyper-automation is to understand various automation mechanisms, how they are inter-related, and how they can be combined.
3. Expansion of Blockchain
According to the predictions made by many technology experts like Forbes and Garter, blockchain technology will continue to be a part of the 2020 technology landscape. Looking at the capabilities and benefits of blockchain, more and more companies will make a shift towards this technology. By pairing up with Artificial Intelligence and producing benefits like high-quality data, better transactions, and more, blockchain has created an upheaval across all the industries.
4. Augmented Reality
Technology is augmenting user experience both visually and cognitively. The intense rise in mobile devices that have Augmented Reality integrated is a perfect example of how technology is being embraced and loved by the world. This AI trend is to continue in 2020, as developers, retailers, and end-users have become comfortable with it enjoying their time exploring the latest features and key takeaways.
5. Conversational AI
2019 was undeniably more concerned about privacy, personal assistance, and a finely tailored user experience. AI-based personal assistants like Google Assistant and Apple’s Siri have made their way through our homes. In last year we also saw the conversational AI that has been in existence for a long, augmented into our personal spaces and become an unavoidable part in many cases. Computation linguistics will affect the way we communicate with the machines in 2020, making this AI and ML trend to hold the ground.
In a Nutshell:
The dynamic changes in the technology vertical have given birth to multiple AI and Machine Learning based platforms, tools, and applications. This technology has not only impacted the IT industry but industries across the spectrum like retail, manufacturing, banking, healthcare, and so on so forth. The capabilities and potential of AI and Machine Learning are increasing every year by many folds. By considering AI and Machine Learning trends like IoT, Hyper-Automation, Blockchain, AR, and Conversational AI, we can estimate the worth of these technologies. To know more about how Artificial Intelligence and Machine Learning can benefit your organization, please visit www.quosphere.com.