Top Technology Trends 2019 | Tech Trends
Top Technology Trends 2019: I think about trends involving technology companies and future trends all the time. This is by no means an exhaustive list, but I wanted to point out some of the obvious patterns that are emerging as we head into 2019. check if the topic interests you. Tech Trends
Top Technology Trends 2019
- 5G Networks
Spain’s National 5G Plan for 2018-2020 stipulates that throughout 2019, pilot projects based on 5G will be developed resulting in the release of the second digital dividend. Hence, the groundwork is being laid so that in 2020 we will be able to browse the Internet on a smartphone at a speed that will reach 10 gigabytes per second. Data from Statista, a provider of market and consumer data, indicates that by 2024, 5G mobile network technology will have reached more than 40 percent of the global population, with close to 1.5 billion users. Top Technology Trends 2019,Tech Trends
- Autonomous Things
Autonomous things, such as robots, drones and autonomous vehicles, use AI to automate functions previously performed by humans. Their automation goes beyond the automation provided by rigid programming models and they exploit AI to deliver advanced behaviours that interact more naturally with their surroundings and with people.
“As autonomous things proliferate, we expect a shift from stand-alone intelligent things to a swarm of collaborative intelligent things, with multiple devices working together, either independently of people or with human input,” said Cearley.
“For example, if a drone examined a large field and found that it was ready for harvesting, it could dispatch an “autonomous harvester.”
Or in the delivery market, the most effective solution may be to use an autonomous vehicle to move packages to the target area. Robots and drones on board the vehicle could then ensure final delivery of the package.”
- Augmented Analytics
Augmented analytics focuses on a specific area of augmented intelligence, using machine learning (ML) to transform how analytics content is developed, consumed and shared.
Augmented analytics capabilities will advance rapidly to mainstream adoption, as a key feature of data preparation, data management, modern analytics, business process management, process mining and data science platforms.
Automated insights from augmented analytics will also be embedded in enterprise applications — for example, those of the HR, finance, sales, marketing, customer service, procurement and asset management departments — to optimise the decisions and actions of all employees within their context, not just those of analysts and data scientists.
Augmented analytics automates the process of data preparation, insight generation and insight visualisation, eliminating the need for professional data scientists in many situations.
“This will lead to citizen data science, an emerging set of capabilities and practices that enables users whose main job is outside the field of statistics and analytics to extract predictive and prescriptive insights from data,” said Cearley.
“Through 2020, the number of citizen data scientists will grow five times faster than the number of expert data scientists. Organisations can use citizen data scientists to fill the data science and machine learning talent gap caused by the shortage and high cost of data scientists.”
- AI-Driven Development
The market is rapidly shifting from an approach in which professional data scientists must partner with application developers to create most AI-enhanced solutions to a model in which the professional developer can operate alone using predefined models delivered as a service.
This provides the developer with an ecosystem of AI algorithms and models, as well as development tools tailored to integrating AI capabilities and models into a solution.
Another level of opportunity for professional application development arises as AI is applied to the development process itself to automate various data science, application development and testing functions.
By 2022, at least 40% of new application development projects will have AI co-developers on their team. Top Technology Trends 2019,Tech Trends
Blockchain, a type of distributed ledger, promises to reshape industries by enabling trust, providing transparency and reducing friction across business ecosystems potentially lowering costs, reducing transaction settlement times and improving cash flow.
Today, trust is placed in banks, clearinghouses, governments and many other institutions as central authorities with the “single version of the truth” maintained securely in their databases.
The centralised trust model adds delays and friction costs (commissions, fees and the time value of money) to transactions. Blockchain provides an alternative trust mode and removes the need for central authorities in arbitrating transactions.
“Current blockchain technologies and concepts are immature, poorly understood and unproven in mission-critical, at-scale business operations. This is particularly so with the complex elements that support more sophisticated scenarios,” said Cearley.
“Despite the challenges, the significant potential for disruption means CIOs and IT leaders should begin evaluating blockchain, even if they don’t aggressively adopt the technologies in the next few years.” Top Technology Trends 2019,Tech Trends
- Smart Spaces
A smart space is a physical or digital environment in which humans and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems.
Multiple elements — including people, processes, services and things — come together in a smart space to create a more immersive, interactive and automated experience for a target set of people and industry scenarios.
“We believe the market is entering a period of accelerated delivery of robust smart spaces with technology becoming an integral part of our daily lives, whether as employees, customers, consumers, community members or citizens,” said Cearley.
- Digital Ethics and Privacy
Digital ethics and privacy are topics that are receiving more and more attention from both private individuals as well as associations and government organizations. For good reason, people are increasingly concerned about how their personal data is being used by public and private sector organizations. Therefore, we conclude that the winning organizations will be those that proactively address these concerns and are able to earn their customers’ trust.