Last year, we bore witness to the first mainstream implementation of artificial intelligence, as software and hardware developers disrupted the market with chatbots, machine learning programs, personalized recommendations through customized algorithms, connected supply chains, AI-driven medical diagnosis, and of course, personal digital assistants. We saw millions of individuals adopt Amazon’s Alexa and Google’s Assistant, breakthroughs in cancer detection via AI, and improvements in customer service from big named brands. With the adoption of artificial intelligence across the globe, it is clear that 2019 is going to be a big year for the tech industry in general as businesses poise themselves to capitalize on revolutionary tech innovation.
Tech Will Continue to Drive the eSports Revenue Into The Billions
In a recent study by Deloitte, it is predicted that the market for eSports fantasy league platforms will expand by up to 35% in the next year alone due to the appeal it has with younger demographics. Although this appeal is primarily founded in Asia, Europe, and North America, it is expected to continue to expand in other regions of the world. The popularity that the community is experiencing is partly due to the change in leisure habit trends as younger individuals are decreasing their television time and increasing their gaming time, while other reasons include the social draw that the online communities have around favorite teams.
With this being said, it may seem like the eSports industry doesn’t need any extra help so to speak, however, advancements in streaming technology, game engines, graphical components, and physical gamepads, are only going to bring further exposure and innovation to the industry. With franchises being born, partnerships being formed, and broadcast agreements being signed, the revenue will continue to rise for eSports as this trend continues to attract entertainment business.
The Advancement of Machines Saves More Lives in Healthcare
As the world continues to be short-staffed in the medical field, the advancement of machines, predictive analysis, and machine learning is becoming paramount and critical to solving economic pressures being placed on the healthcare industry. We will see telemedicine become more widely adopted as the ability to get treated and diagnosed from home will not only help out patients but it will allow healthcare facilities to free up building space, time, and the staff. This, in turn, will allow healthcare facilities to take on more patients, which may result in earlier catches of disease, illness, and underlying medical conditions that would otherwise harm the population. Beyond this, artificial intelligence systems are being used to detect cancer early on, diagnose a person’s risk to heart attacks, and create streamlined data solutions for easier patient processing.
Blockchain – May Still Be a Thing With New Tech
Although Blockchain has seen a decline in popularity due to the recent crash of the Bitcoin market, the potential of this technology is still tremendous as it offers an immutable record of transactional activity, a secure way to encrypt data, and an entire decentralized network that offers the world enhanced security, transparency, and reduced costs associated with sending digital funds. If Blockchain app development is still going to remain a thing in 2019, it will need some well-thought-out initiatives to reinvigorate interest.
Smart Cities Level Up Their Intelligence
The coming year may finally begin to show the benefits of previous infrastructure projects made in environmental, utility management, and transport tech. With cities implementing in multi-modal transportation, smart traffic lights, smart energy grids, and items like sensors and actuators, we will begin to see the birth of safer and more streamlined city planning. For instance, some cities are implementing in new ways to save energy by utilizing solar-powered smart grids, while other cities are using sensors for smarter parking and trash collection services.
The overall key to smart cities leveling up their intelligence will involve the IoT devices that connect the entire city together. By fusing sensor information in our daily lives and integrating it with the city, we create a massive real-time data network that will minimize dangers, unintended consequences, and see structural failures coming way ahead of schedule. Beyond this, if the city is driven solely by the data that it collects, we will have less visual clutter, more efficient public services, and an overall healthier environment as our city systems will be more reliable and serviceable.
Artificial Intelligence and Machine Learning
With artificial intelligence passing the trial mark, we will continue to see its growth through smart devices, automated programs, self-driving vehicles, and intelligent appliances. With machine learning, the services and experiences that we have now will become more personalized and customized so that the devices we interact with will know what we want before we ask. Examples of this would be a fast-food kiosk that knows what your regular order is when you walk in the front door or an air conditioner that knows your preferred setting. The applications of artificial intelligence and machine learning can be as small as streamlining small tasks to as large as learning how to successfully complete surgical operations.
Agritech – Making Horticulture More Productive and Profitable
When it comes to the crop field, it is often overlooked as not one to be closely integrated with technology. Agritech – IoT App Development in Agriculture Industry is poised to change this in 2019, as venture capitalist companies are investing in smart agricultural tech, like crop plantation systems, data collection solutions, and crop assessment technology like smartphone applications that assess seeds and drones that scan and map out crop fields. Beyond this, other technologies are coming to light like soil-less farming that is used to grow certain types of vegetables and fruits and automated IoT sensors that detail out light and heat control, disease prediction, soil management, and other analytical tasks.