See the 10 technology trends for 2019
Gartner highlighted the key technology trends that organizations need to explore in 2019. The consulting firm defines a strategic technology trend as one that has the potential to break and is starting to emerge from an emerging state for impact and wider use, or rapidly growing a high degree of volatility and reaching inflection points in the next five years.
“The Intelligence Digital Mesh has been a consistent theme in the last two years and remains a great driver until 2019. The trends in each of these three themes are a key ingredient in driving an ongoing process of innovation as part of a ContinuousNEXT” , said David Cearley. . vice president of Gartner.
“For example, artificial intelligence (AI) in the form of automated things and augmented intelligence is being used in conjunction with IoT and edge computing to deliver highly integrated intelligent spaces.This combinatorial effect of multiple trends coming together to produce new opportunities and generate new breaks is a trademark of Gartner’s top 10 technology trends for 2019, “he adds.
Know the ten trends:
Standalone things like robots, drones, and standalone vehicles use AI to automate functions previously performed by humans. Their automation goes beyond that provided by rigid programming models – they exploit AI to provide advanced behaviors that interact more naturally with the environment and with people.
“As autonomous things proliferate, we expect a shift from intelligent and autonomous things to a swarm of intelligent collaborative things, with multiple devices working together, regardless of people or human contribution.” For example, if a drone were to examine a large field and find out which was ready for harvest, could dispatch an “autonomous harvest” or, in the delivery market, the most effective solution would be to use a stand-alone vehicle to map the target area. “, says the executive.
Augmented Analytics focuses on a specific area of higher intelligence, using machine learning to transform how analytic content is developed, consumed, and shared.
Enhanced analytical capabilities will quickly move to mainstream adoption as an important resource for data preparation, data management, modern analysis, business process management, process mining, and data science platforms.
Automated insights from augmented analytics will also be incorporated into enterprise applications – for example, HR, finance, sales, marketing, customer service, purchasing and asset management – to optimize the decisions and actions of all employees within their context, not just of analysts. and data scientists.
Increased analysis automates the process of data preparation, insight generation and insight visualization, eliminating the need for professional data scientists in many situations.
“This will lead to the science of citizen data, an emerging set of features and practices that allows users whose primary task is outside the field of statistics and analyzes to extract predictive and prescriptive insights from the data.
By 2020, the number of citizen data scientists will grow five times faster than the number of data scientists. Organizations can use citizen data scientists to fill the knowledge gap in data science and machine learning caused by the scarcity and the high cost of data scientists, “explains Cearley.
The marketplace is rapidly shifting from an approach where professional data scientists must associate with application developers to create the majority of AI-enhanced solutions for a model where the professional developer can operate alone using predefined service models.
This provides the developer with an ecosystem of AI algorithms and models as well as development tools tailored to integrate AI features and models into a solution.
Another level of opportunity for professional application development comes as AI is applied to the development process itself to automate various functions of data science, application development, and testing. By 2022, at least 40% of new application development projects will have AI co-developers on their team.
“Finally, highly advanced AI-based development environments, automating functional and non-functional aspects of applications, will give rise to a new era of ‘citizen application developer’ where non-professionals can use AI-driven tools to generate new solutions automatically.
Tools that enable non-professional professionals to run applications without encoding are not new, but we expect systems with AI technology to offer a new level of flexibility, “said Cearley.
A digital twin is a digital representation of a real world entity or system. By 2020, Gartner estimates that there will be more than 20 billion sensors connected and terminals and digital twins will exist for potentially billions of things. Organizations will implement digital twins and evolve over time, improving their ability to collect and visualize the right data, apply the analysis and rules, and respond effectively to business objectives.
“One aspect of the evolution of digital twins that goes beyond IoT will be entrepreneurs implementing digital twins from their organizations (DTOs). A DTO is a dynamic software model that relies on operational or other data to understand how an organization operates its business model, connects with its current state, implements resources, and responds to changes to deliver the expected value to the customer. DTOs help drive efficiency in business processes, and create more flexible, responsive and dynamic processes that can react to changing conditions automatically, “says the executive.
The border refers to the endpoint devices used by people or embedded. Edge computing describes a computational topology in which information processing and content collection and delivery are placed closer to those endpoints. It tries to maintain local traffic and processing, with the goal of reducing traffic and latency.
In the short term, the edge is being driven by IoT and the need to keep processing near the end, not on a centralized cloud server. However, instead of creating a new architecture, cloud computing and edge computing will evolve as complementary models, with cloud services being managed as a centralized service running not only on centralized servers, but on distributed servers on-premises and on their own edge devices.
Over the next five years, specialized AI chips, in addition to increased processing power, storage and other advanced features, will be added to a wide range of edge devices. The extreme heterogeneity of this integrated IoT world and the long asset life cycles, such as industrial systems, will create significant management challenges. As 5G matures, the expanding edge computing environment will have more robust communication for centralized services. The 5G provides lower latency, higher bandwidth and a dramatic increase in the number of nodes (edge endoints) per km2.
A extrema heterogeneidade desse mundo de IoT integrado e os longos ciclos de vida de ativos, como sistemas industriais, criarão desafios significativos de gerenciamento. À medida que o 5G amadurece, o ambiente de computação de borda em expansão terá uma comunicação mais robusta para serviços centralizados. O 5G fornece menor latência, maior largura de banda e um aumento dramático no número de nós (endoints de borda) por km2.
Conversation platforms are changing the way people interact with the digital world. Virtual reality (VR), augmented reality (RA), and mixed reality (MR) are changing the way people perceive the digital world. This combined change in perception and interaction models leads to the user’s immersive experience in the future.
“Over time, we will move from thinking about individual devices and fragmented user interface (UI) technologies to a multi-channel, multimodal experience. The multimodal experience will connect people with the digital world to hundreds of peripheral devices that surround them, including traditional computing devices, wearables, automobiles, environmental sensors and consumer devices, “said Cearley. “The multichannel experience will use all human senses as well as the computer’s advanced senses (such as heat, humidity and radar) in these multimodal devices. This multi-experience environment will create an environment experience in which the spaces around us define ‘computer’ rather than individual devices. In effect, the environment is the computer. ”
Blockchain promises to reshape industries by bringing confidence, providing transparency and reducing friction between business ecosystems, potentially reducing costs, reducing transaction settlement times and improving cash flow. Today, trust is deposited in banks, clearing houses, governments and many other institutions as central authorities with the “single version of truth” held securely in their databases. The centralized trust model adds delays and friction costs (commissions, fees, and cash value) to transactions. The blockchain concept provides an alternative mode of trust and eliminates the need for central authorities in transactional arbitrage.
Hoje, a confiança é depositada em bancos, câmaras de compensação, governos e muitas outras instituições como autoridades centrais com a “versão única da verdade” mantida com segurança em seus bancos de dados. O modelo de confiança centralizada adiciona atrasos e custos de fricção (comissões, taxas e valor em dinheiro) às transações. O conceito blockchain fornece um modo alternativo de confiança e elimina a necessidade de autoridades centrais na arbitragem transacional.
Current blockchain technologies and concepts are immature, misunderstood, and untested in mission-critical business operations. This is particularly true with complex elements that support more sophisticated scenarios. “Despite the challenges, the significant potential for disruption means that CIOs and IT leaders must begin to evaluate the blockchain, even if it does not
Current blockchain technologies and concepts are immature, misunderstood, and untested in mission-critical business operations. This is particularly true with complex elements that support more sophisticated scenarios. “Despite the challenges, the significant outage potential means that CIOs and IT leaders should start evaluating blockchain even if they do not aggressively adopt technologies in the coming years,” he warns.
Many blockchain initiatives today do not implement all the attributes of the tool – for example, a highly distributed database. These blockchain-inspired solutions are positioned as a means of achieving operational efficiency, automating business processes, or digitizing records. They have the potential to enhance the sharing of information between known entities, as well as improve physical and digital asset tracking opportunities.
However, these approaches lose the value of the actual blockchain disruption and can increase vendor arrest. Organizations choosing this option should understand the limitations and be prepared to move to complete blockchain solutions over time and that the same results can be obtained by more efficient and adjusted use of existing non-blocking technologies.
An intelligent space is a physical or digital environment in which human beings and systems with technology interact in ecosystems increasingly open, connected, coordinated and intelligent. Multiple elements – including people, processes, services and things – come together in a clever space to create a more immersive, interactive and automated experience for a target set of people and industry scenarios.
“This trend has been clustered for some time around elements such as smart cities, digital workplaces, smart homes and connected factories. We believe the market is entering a period of delivery of robust smart spaces, with technology becoming an integral part of our day to day lives, whether as employees, customers, consumers, community members or citizens, “said Cearley.
Ethics and digital privacy
Ethics and digital privacy are growing concerns for individuals, organizations and governments. People are increasingly worried about how their personal information is being used by organizations in the public and private sectors, and the reaction will only grow for organizations that are not proactively addressing those concerns.
“Any privacy discussion should be based on the broader topic of digital ethics and the trust of its customers, constituents, and employees.” While privacy and security are key components in building trust, trust is more than just those components. is acceptance Ultimately, an organization’s position on privacy should be driven by its broader stance regarding ethics and trust. The shift from privacy to ethics leads to conversation beyond “we conform” to towards “we” is doing the right thing.
Quantum computing is a type of non-classical computation that operates in the quantum state of subatomic particles (for example, electrons and ions) that represent information as elements denoted as qubit bits. Parallel execution and exponential scalability of quantum computers means that they stand out with very complex problems for a traditional approach or where traditional algorithms take a long time to find a solution.
Industries such as automotive, insurance, pharmaceutical, military and low-power associations have gains with quantum strategy. The pharmaceutical industry, for example, could be used to model drug interactions at accelerated levels to accelerate the marketing of new cancer drugs or to accelerate and predict more accurately the interaction of new technologies.