IT research firm Gartner has released top 10 technology trends that will assist CIOs to take better decisions in 2019.
Blockchain, quantum computing, augmented analytics and artificial intelligence will drive disruption and new business models, Gartner said.
Some tech giants employ AI-powered robots for security. Tech companies like Microsoft and Uber use Knightscope K5 robots to patrol parking lots and large outdoor areas to predict and prevent crime. The robots can read license plates, report suspicious activity and collect data to report to their owners.
These AI-driven robots are one example of “autonomous things,” one of the Gartner Top 10 strategic technologies for 2019 with the potential to drive significant disruption and deliver opportunity over the next five years.
“The future will be characterized by smart devices delivering increasingly insightful digital services everywhere,” said David Cearley, Gartner vice president and Fellow, at Gartner 2018 Symposium/ITxpo in Orlando, Florida.
Gartner Top 10 Strategic Technology trends
Autonomous things use AI to perform tasks traditionally done by humans. The sophistication of the intelligence varies, but all autonomous things use AI to interact more naturally with their environments.
Augmented analytics represents a third major wave for data and analytics capabilities as data scientists use automated algorithms to explore more hypotheses. Data science and machine learning platforms have transformed how businesses generate analytics insight.
Through 2020, the number of citizen data scientists will grow five times faster than actual data scientists. Citizen data scientists use data tools to provide insight and aren’t necessarily professional data scientists.
Gartner predicts by 2020, more than 40 percent of data science tasks will be automated, resulting in increased productivity and broader use by citizen data scientists. Between citizen data scientists and augmented analytics, data insights will be more broadly available across the business, including analysts, decision makers and operational workers.
AI-driven development looks at tools, technologies and best practices for embedding AI into applications and using AI to create AI-powered tools for the development process.
The market will shift from a focus on data scientists partnered with developers to developers operating independently using predefined models delivered as a service. This enables more developers to utilize the services, and increases efficiency.
A digital twin is a digital representation that mirrors a real-life object or system. Digital twins can also be linked to create twins of larger systems, such as a power plant or city. The idea of a digital twin is not new.
The focus is on digital twins in the IoT, which could improve enterprise decision making by providing information on maintenance and reliability, insight into how a product could perform more effectively, data about new products and increased efficiency.
Edge computing is a topology where information processing and content collection and delivery are placed closer to the sources of the information, with the idea that keeping traffic local will reduce latency. Currently, much of the focus of this technology is a result of the need for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world. This type of topology will address challenges ranging from high WAN costs and unacceptable levels of latency.
Through 2028, Gartner expects a steady increase in the embedding of sensor, storage, compute and advanced AI capabilities in edge devices. In general, intelligence will move toward the edge in a variety of endpoint devices, from industrial devices to screens to smartphones to automobile power generators.
Through 2028, conversational platforms, which change how users interact with the world, and technologies such as augmented reality (AR), mixed reality (MR) and virtual reality (VR), which change how users perceive the world, will lead to a new immersive experience. AR, MR and VR show potential for increased productivity, with the next generation of VR able to sense shapes and track a user’s position and MR enabling people to view and interact with their world.
By 2022, 70 percent of enterprises will be experimenting with immersive technologies for consumer and enterprise use, and 25 percent will have deployed to production. The future of conversational platforms, which range from virtual personal assistants to chatbots, will incorporate expanded sensory channels that will allow the platform to detect emotions based on facial expressions, and they will become more conversational in interactions.
Blockchain allows companies to trace a transaction and work with untrusted parties without the need for a centralized party (i.e., a bank). This greatly reduces business friction and has applications that began in finance, but have expanded to government, healthcare, manufacturing, supply chain and others.
Blockchain could potentially lower costs, reduce transaction settlement times and improve cash flow. The technology has also given way to a host of blockchain-inspired solutions that utilize some of the benefits and parts of blockchain.
Currently, blockchain technologies are immature, difficult to scale, poorly understood and unproven. However, businesses should begin evaluating the technology, as blockchain will create $3.1T in business value by 2030.
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. As technology becomes a more integrated part of daily life, smart spaces will enter a period of accelerated delivery. Further, other trends such as AI-driven technology, edge computing, blockchain and digital twins are driving toward this trend as individual solutions become smart spaces.
Digital ethics and privacy
Consumers have a growing awareness of the value of their personal information, and they are increasingly concerned with how it’s being used by public and private entities. Enterprises that don’t pay attention are at risk of consumer backlash.
Quantum computing is a type of nonclassical computing that is based on the quantum state of subatomic particles that represent information as elements denoted as quantum bits or “qubits.”
Aside from a select group of businesses where specific quantum algorithms would provide a major advantage, most enterprises should remain in exploration phase through 2022 and begin exploiting the technology later.