What are the top 10 strategic technology trends in 2019?

IT advisory agency Gartner has announced major strategic technology trends for 2019, which companies should pay attention to. More details are available at the Gartner Symposium / IT Expo in Orlando, Florida,

Strategic technology trends selected by Gartner are made up of technologies with innovative potential. These are technologies that boast of new technologies and rapid growth rates that show a wider range of influences and use cases from the initial state, and are expected to peak in the next five years.

"Intelligent, Digital, and Mesh have been a hot topic over the past two years and will be a key growth driver in 2019," said David Cearley, vice president and fellow at Gartner. The trends on these three themes are key to driving the ongoing innovation process as part of the Continuous NEXT strategy. "

Gartner's 2019 top 10 strategic technology trends are as follows.

Autonomous Things

Autonomous things such as robots, drones, and autonomous vehicles use AI to automate human functions. Their automation goes beyond automation through a rigorous programming model and leverages AI to perform advanced actions that naturally interact with the environment and people.

"As autonomic objects expand, we will move away from independent intelligent objects and follow a human command or introduce a variety of intelligent objects that can work with multiple devices themselves," says David Sulliv. For example, if the drones are found to be ready for harvesting by surveying a large field, then the "autonomous harvesting machine" is activated. Or, the most efficient solution in the shipping market could be to use self-propelled vehicles to move packages to the target area. Vehicle-mounted robots and drones can guarantee the final delivery of parcels. "

Augmented Analytics

Augmented Analytics focuses on specific areas of augmented intelligence using machine learning to revolutionize the way in which analysis content is developed, consumed, and shared. Augmentation analysis capabilities will rapidly evolve into key functions of data preparation, data management, modern analysis, business process management, process mining and the data science platform. The automated insights gained from the incremental analysis will be applied to business activities such as HR, finance, sales, marketing, customer service, procurement and asset management departments to optimize the decisions and actions of all employees, including analysts and data scientists. Augmentation analysis automates the process of data preparation, generation of insights and visualization of insights, eliminating the need for specialized data scientists in many situations.

"This will lead to new capabilities and practices, citizen data science, that enable non-statisticians and analysts to draw predictive or normative insights from their data," said David Sulliv. The number of civilian data scientists will increase five times faster than the number of specialized data scientists. Organizations can use civic data scientists to address the labor shortages of data science and machine learning caused by the scarcity and high cost of data scientists. "

AI-Driven Development

The market is rapidly changing to a model that professional developers can operate alone using a serviceable predefined model, away from the approach that professional data scientists have had to work with application developers to build most of the AI   enhancement solutions. It provides developers with development tools designed to integrate AI algorithms and model ecosystems, as well as models and AI capabilities into the solution. As AI is applied to the development process itself to automate a variety of data science, application development and testing functions, there is another level of opportunity for specialized application development. By 2022, at least 40% of new application development projects are expected to have AI co-developers in the team.

"Ultimately, a highly sophisticated, AI-driven development environment that automates both the functional and non-functional aspects of an application is a 'citizen application developer' who can create new solutions automatically using AI-driven tools, "Tools that allow non-experts to create applications without coding are not new, but we expect AI-driven systems to offer a new level of flexibility," he said.

Digital Twins

Digital Twin refers to digital versions of objects or systems that exist in the real world. Gartner expects to generate more than 20 billion connected sensors and endpoints by 2020, with potential digital bottlenecks in billions of objects. Organizations will initially apply digital twinning in a simple way. Over time, they will evolve as they acquire and visualize the right data, apply the right analysis and rules, and improve their ability to respond effectively to business goals.

"One aspect of digital twin evolution beyond IoT is the implementation of Digital Twins of an Organizations (DTOs) for their organizations," said David Sulliv, A dynamic software model that relies on operational or other data to understand how to connect to the current state, deploy resources, and realize customer value in response to change. "

Empowered Edge with Autonomy.

An edge refers to an endpoint device that is used by people or embedded around us. Edge computing tries to process traffic and processing locally to reduce traffic and latency.

Soon the edge will be dominated by IoT, and if necessary, processing will be maintained near the end of the centralized cloud server. Instead of creating a new architecture, cloud computing and edge computing will evolve into a model that supplements cloud services managed as a central service in centralized servers as well as decentralized on-premises and edge devices themselves.

Over the next five years, a special AI chip with more processing power, storage and other advanced features will be built into the various edge devices. Along with the extreme heterogeneity of these embedded IOT worlds, the long life cycle of assets such as industrial systems creates significant difficulties in management. In the long term, as 5G becomes mature, the extended edge computing environment will build stronger communications with centralized services. 5G offers lower latency per square kilometer, higher bandwidth, and the number of nodes (edge endpoints), which is the most important factor in the edge.

Immersive Experience.

Interactive platforms are changing the way people interact with the digital world. Virtual reality (VR), augmented reality (AR), and mixed reality (MR) are changing the way people perceive the digital world. This integrated change in perception and interaction model leads to a future immersive user experience.

"Over time, we will move away from discrete devices and fragmented user interface (UI) technologies to multi-channel and multi-mode experiences," said David Sulliv. "The multimode experience will connect people and the digital world, spanning hundreds of edge devices, including traditional computing devices, wearable devices, automobiles, environmental sensors and consumer electronics. But also utilize all of the advanced computer senses (heat, humidity, radar, etc.) of multimode devices. This multiple experience environment provides an ambient experience in which the space surrounding us defines "computers" rather than individual devices. In fact, the environment becomes a computer. "

Block Chain.

Blockchain is a kind of distributed ledger that will restructure the industry by building trust, providing transparency, reducing potential costs due to reduced friction between business ecosystems, reducing transaction settlement times, and improving cash flow . Today, trust is built in banks, clearing houses, governments, and other agencies that serve as central authorities, and a "single version of truth" is securely stored in their databases. This centralized trust model adds delay and frictional costs (commission, commission and time value of money) to the transaction. On the other hand, the block chain provides an alternative trust mode and eliminates the need for central authorities in arbitration transactions.

David Sully, vice president, said, "The current block chain technology and concepts are immature, not well understood, and have not been validated for business-critical and large-scale business operations. "In spite of these difficulties, the block-chain technology has tremendous potential for innovation, so CIOs and IT leaders must be actively involved in the technology within a few years. If you do not adopt it, you should begin to evaluate it. "

Many block chain initiatives today do not implement all the characteristics of a block chain, including distributed databases. These block-chain-based solutions are used as a means of achieving operational efficiency by automating business processes or digitizing records. They have the potential to improve the sharing of information between known individuals and to improve the chances of tracking physical and digital assets. However, these approaches can miss the true value of block-chain innovation and increase dependency on suppliers. Organizations that choose this option should be prepared to understand the limitations and be ready to transition to a complete block-chain solution and realize that using the existing non-block-chain technology more efficiently and appropriately can achieve the same result Should be.

Smart Spaces.

Smart space refers to a physical or digital environment in which people and technology systems are more open, connected, coordinated, and interacting in intelligent ecosystems. Many factors, including people, processes, services, and things, gather in a smart space, creating a more immersive, interactive and automated experience aimed at target users and industry scenarios.

"These trends have been converged around factors such as Smart City, digital workspace, smart home, and connected factories," said David Sulliv, vice president and general manager, As it becomes a vital part of life, the market has entered a stage where it is increasingly providing solid smart space. "

Digital Ethics and Privacy.

Digital ethics and privacy are the concerns of individuals, organizations and governments alike. People are increasingly concerned about how their personal information is used by the organization in the public and private sectors, and the opposition to organizations that do not actively address these concerns is increasing.

David Sully, vice president, said, "All discussions about privacy should be based on a wide range of topics on digital ethics and the trust of customers, members and employees. While privacy and security are the building blocks of trust, trust is more than just these elements. "Trust is the acceptance of the truth of the statement without evidence or investigation. Ultimately, the organization's position on privacy should be driven by a broader concept of ethics and trust. The transition from privacy to ethics changes the discourse on whether we are doing what we are about whether we are doing what is right.

Quantum Computing.

Quantum Computing (QC) is a type of non-conventional computing that operates in the quantum state of subatomic particles such as electrons and ions that represent information as a quantum bit (qubit) element. Parallel execution and exponential scalability of quantum computers means that traditional approaches are either too complex or to solve problems that take a long time to find solutions with traditional algorithms. Industries such as automotive, finance, insurance, pharmaceutical, military and research organizations are benefiting most from the development of quantum computing. For example, in the pharmaceutical industry, quantum computing can be used to model molecular interactions at the atomic level to accelerate the time to market of new cancer treatment drugs. Or quantum computing can be used to more accurately predict protein interactions leading to new pharma- ceutical methodologies.

"CIOs and IT leaders must begin planning for the adoption of quantum computing by increasing understanding and understanding how they can be applied to real business problems," said David Sulliv. You need to learn when technology is still in the emerging stages. "Quantum computing needs to figure out the real problems with potential and consider the potential impact on security," he said. "But you should not trust exaggerated advertising to innovate things in the next few years. Most organizations will need to learn and monitor quantum computing by 2022 and use it by 2023 or 2025. "