Gartner Announces Top 10 Strategic Technology Trends for 2019
According to Gartner, it is expected that as autonomous things increase, it will shift from single intelligent things to cooperative ones that function as swarms. In cooperative swarm, multiple devices work together independently of one another or by human manipulation. For example, in large-scale agriculture, it becomes possible for drones to investigate the fields and to issue "autonomous harvesters" after the harvest time, and in the home delivery market, autonomous vehicles are used to transport packages to delivery areas. On top of that, robots and drones installed in vehicles will be able to deliver packages reliably to delivery destinations.
Customer service,
purchasing, and asset management departments, you can optimize the decisions and actions of every employee, not just analysts and data scientists, to their respective circumstances. become.
In “AI-led development”, in the past, it was almost always necessary for expert data scientists to work with application developers, but in the future we will use “pre-defined” models provided as a service Will allow specialist developers to work independently. Gartner says that by 2022 AI will join the team as a co-developer in over 40% of new application development projects.
Digital twins for billions of things. Companies and organizations can first implement Digital Twin in a simple way, then improve their ability to collect and visualize appropriate data, apply appropriate analytics and rules, and respond effectively to business goals. Are trying to evolve usage over time, such as
Endpoint devices used by people and endpoint devices incorporated into the peripheral environment are called edges,
but “Extending Edge Function” means using IoT and near endpoints instead of centrally managed cloud servers It is also strengthened by the need to process. And in the next five years, various edge devices will be enhanced with processing power, storage and other advanced functions, and will be equipped with dedicated AI chips. In the long run, as the 5G matures, the edge computing environment expands, making communication with centralized services more robust, reducing latency and adding bandwidth (very important at the edge) Point) to bring about a significant increase in the number of nodes per square kilometer, that is, the number of edge endpoints.
The "immersive experience" is the connection between people and the digital world across many edge devices that exist around people, such as conventional computing devices, wearables, automobiles, environmental sensors, home appliances, etc. People perceive the digital world The way you do it will also change.
A "block chain", a type of distributed ledger,
is expected to rebuild various industries by achieving reliability and transparency and reducing friction between business ecosystems. At Gartner, the current blockchain technology and concepts are immature, not well understood, have not been proven in mission critical and large business operations, and will be turned into a complete blockchain solution The company also needs to be prepared to move, and it should be recognized that there may be the potential to achieve similar results by streamlining and coordinating the use of existing technologies other than blockchains.
From now on, multiple elements, including people, processes, services and things, will be combined in a smart space, creating an automated experience for targeted people and industry scenarios.
In "digital ethics and privacy,"
it is necessary to discuss on the broad topic of not only privacy and digital ethics but also trust from customers, stakeholders and employees. Ultimately, an organization's attitude toward privacy should be determined by the organization's attitude towards ethics and trust, and by shifting from privacy to ethics, it is not correct, not 'in contradiction to compliance'. Is it going to be discussed?
Quantum computers excel at handling problems that are too complex to solve with traditional approaches,
or too long to solve with conventional algorithms. For example, the pharmaceutical industry could use quantum computing to model intermolecular interactions at the atomic level, potentially reducing the time to market for new cancer drugs. Gartner says that most businesses and organizations will learn about quantum computing by the end of 2022, and will use this technology by 2023 or 2025.
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