The oldest memory of artificial intelligence for a common user is that of Siri, a virtual assistant in Apple products.
She responds to users’ messages, addresses queries, makes suggestions, and completes tasks, using the Internet. Siri uses a range of technologies, such as speech recognition and machine learning, to perform her duties.
People are now familiar with artificial intelligence through various chatbots and robots, among other products. AI is growing exponentially, showing tremendous benefits in multiple industries including customer services and healthcare.
The technology is thriving and possesses a huge potential to transform businesses in the coming times. The rapid adoption of artificial intelligence requires a thorough understanding of future trends, to best utilize the opportunity.
This article explores the top 5 Artificial Intelligence trends that you must not ignore in 2020!
1. Natural Language Generation will Become Popular
NLG (Natural Language Generation) will become common in the coming year. It is a software, driven by artificial intelligence that converts data into a written or spoken narrative.
The process starts by selecting a format or template, along with rules-based workflows, and intents. The data entered into the system translates into a meaningful narrative, driven by the chosen template and queries.
The technology is capable of identifying patterns, mining numerical data, and sharing information in a manner that is easier to understand for people.
The technology has great potential for speeding time-sensitive queries, such as emergency news. In 2014, when an earthquake struck Los Angeles, NLG posted the story in less than eight minutes.
Similarly, NLG will shine in different industries. For example, the technology will help in product descriptions in e-commerce, personalized communications with customers via chatbots and email, financial summaries for individual clients, and data analysis.
2. AI Will Revamp Speech Recognition
Speech recognition recognizes spoken works and performs relevant action. It uses algorithms through linguistic and acoustic modeling. For example, Alexa can find the meaning of a word for the speaker or make a call. Users can ask Siri about the weather in Florida while driving towards it.
According to research by ComScore, voice searches will constitute 50% of all searches by 2020. It shows that artificial intelligence will support smarter and more efficient virtual assistants through improved accent recognition, controlling background noise, and high-end natural language processing.
Speech recognition will escalate into everything around, such as refrigerators, furniture, automobiles, and more. For example, users will ask the fridge if it has some salads in stock or when the ketchup box is expiring.
The technology will help translate languages faster and during conversations, reducing or even eliminating the need for an interpreter.
3. Escalation of Machine Learning Platforms
We believe that computers have a pre-determined set of skills and unlike humans, computers cannot learn or acquire knowledge. Machine Learning develops mechanisms that allow machines to learn new skills.
The technology is the future of every software application. More companies will utilize Machine Learning technology, and more software companies will offer Machine learning as a service.
Machine Learning will enhance personalization and helps in boosting customer engagement. For example, Netflix recommends shows based on the previous shows watched by the user. Also, AliExpress recommends products based on the customers’ choices. The algorithm deduces the browsing history and discovers the interests of potential buyers.
The growth of Machine Learning will expand in 2020. We will see highly sophisticated robots with robot vision, multi-agent learning, and self-supervised learning.
The robots in the coming years will be intelligent and wise to make recommendations, take part in manufacturing, and more.
4. Image Recognition will Get Bigger and Better
Image recognition allows software to identify places, writing, actions, objects, and people in images. Computers utilize machine vision technologies, artificial intelligence software, and cameras to diagnose images.
The technology has massive implications in the coming year. Image recognition will catch visual cues in the images and offer live data to users.
Imagine looking at a mesmerizing photo of a breathtaking view on Instagram, and immediately knowing its location, traveling costs from your country, the best time to visit, friends who have been there, and more.
Artificial intelligence will enable autonomous driving via image recognition. The technology will identify and recognize objects on the roads, such as vehicles, moving objects, pedestrians, and pathways.
It will also anticipate location, speed, and moving behavior of cars around. Companies are working on developing various driving styles as per the conditions on the road.
Image recognition is the future of the healthcare industry. Images constitute over 90% of medical data, such as x-rays, ultrasounds, mammograms, MRIs, and more. The technology will help in diagnostics and shall doctors in early identification and treatment of diseases.
Recently, artificial intelligence has assisted in the identification of Melanoma; skin cancer that affects 5 million people in the United States every year. The disease is curable if identified early.
The algorithm learns features relevant to the disorders, via medical images, and detects diseases. We are hoping for a significant reduction in fatal diseases like cancers and tumors.
5. AI will Boost Cybersecurity
Cybercriminals have become stronger over the years. They strategically target individuals in organizations to hack data, invade systems and wait for the right time to attack, target cloud-based programs to delete data, and more.
Artificial intelligence will give a tough time to cybercriminals in 2020, via machine learning and other advancements.
The algorithms of AI will recognize unusual patterns of activities faster than ever before. The technology sets standards of regular activity and moves to identify actions that are different from the established criteria.
It eliminated the need for supervising the systems to detect and breach. It also offers supervised monitoring of particular malware that may be new or mutated from a previous one. It will identify whether the new code is safe to use or not.
Artificial Intelligence will make systems and machines smarter, wiser, and faster. It will affect every industry and revolutionize businesses!
Are you ready for the massive adoption?