Zetechno-The research firm along with the world's leading adviser Gartner Inc. has highlighted the top strategic technology trends that will affect most organizations by 2018. Gartner defines strategic technology trends as one with huge disruptive potential that is starting to emerge from developing countries into wider impact and use , or a rapidly growing trend with high volatility levels that reached a critical point over the next five years. Gartner top 10 strategic technology trends for 2018 tie into Intelligent Digital Mesh. The smart digital range is the foundation for future business and digital ecosystems. IT leaders must take these technology trends into their innovation strategy or risk losing space for those who do it, "said Gartner Fellow and vice president David Cearley.
The first three strategic technology trends explore how artificial intelligence (AI) and machine learning pervade almost all and are a major battleground for technology providers over the next five years.
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The next four trends focus on mixing the digital and physical worlds to create an immersive and digitally enhanced environment. The last three refer to the use of connections between a growing body of people and business, as well as tools, content and services to produce digital business results.
The top 10 strategic technologies 2018 will be
Artificial Intelligence (AI) Foundation
Creating a system that learns, adapts and potentially acts autonomously will be a major battleground for technology vendors up to at least 2020. The ability to use AI to improve decision making, rediscover business models and ecosystems, and remake the customer experience will drive payments for digital initiatives through 2025. AI Techniques are growing rapidly and organizations need to invest significantly in skills, processes and tools to successfully utilize this technique and build an AI-enhanced system.
Cearley said: "The investment field can include data selection, integration, algorithms and choice of training methodologies, and modeling.Some constituents including data scientists, developers and business process owners need to work together"
Smart Apps and Analytics
Over the next few years, almost every application, application and service will combine multiple AI levels. Some of these applications will be a clear intelligent app that can not exist without AI and machine learning. Others will be unobtrusive AI users who provide behind the scenes intelligence.
Smart apps create a new intelligent intermediary layer between people and systems and potentially transform the workplace and workplace structure. AI has become the next major battleground in various software and service markets, including aspects of enterprise resource planning (ERP). Software and packaging service providers must explain how they will use AI to add business value in the new version in the form of advanced analysis, smart processes and advanced user experience.
Intelligent Things
Intelligent things are physical things that go beyond the execution of rigid programming models to exploit AI to provide more advanced behavior and interact more with their surroundings and people. AI pushes forward for new intelligent things (such as autonomous vehicles, robots and unmanned aircraft) and provides increased capabilities to many things (such as the Internet of Things [IoT] connecting consumer and industry systems.
Digital Twin
A digital twin refers to a digital representation of a real-world entity or system. Digital twins in the context of the IoT project are very promising for the next three to five years and are leading the interest in today's digital twins. Well designed digital twins have the potential to significantly improve corporate decision making. These digital twins are connected to their peers and are accustomed to understanding the state of things or systems, responding to change, improving operations and adding value. Organizations will apply digital twins at first, then evolve over time, improve their ability to collect and visualize correct data, apply appropriate analysis and regulation, and effectively respond to business objectives.
Cloud to the Edge
Edge computing describes the computing topology in which information processing, and the collection and delivery of content, is placed closer to this source of information. Connectivity and latency challenges, bandwidth constraints and greater functionality are embedded in the advantages of liking distributed models. Enterprises should begin to use the pattern of edge design in their infrastructure architecture - especially for significant IoT elements.
Although many see clouds and edges as competing approaches, clouds are a computational style in which elastic technology is elastically delivered as a service and essentially does not require a centralized model.
Conversation Platform
The conversation platform will drive the next major paradigm shift in how humans interact with the digital world. Loads translate the intention of moving from user to computer. The platform takes questions or commands from users and then responds by running multiple functions, displaying some content or requesting additional input. Over the next few years, the conversation interface will be the ultimate design goal for user interaction and sent to OS core-specific hardware, features, platforms and applications.
Immersive Experience
While the conversation interface changes how people control the digital, virtual, plus and mixed realities change the way people view and interact with the digital world.
The reality of virtual reality (VR) and augmented reality (AR) is currently teenagers and fragmented. High interest, resulting in many new VR apps that deliver little real business value beyond advanced entertainment, such as video games and 360 degree 360 ??video.
To encourage real business benefits, companies must examine specific real-life scenarios where VR and AR can be applied to make employees more productive and improve the design, training and visualization process. The mixed reality, the type of immersion that combines and extends the technical functionality of AR and VR, emerges as an in-depth experience of options that provide attractive technology that optimizes the interface to better fit the look of people and interact with their world.
Mixed realities exist along the spectrum and include built-in displays (HMD) for added or virtual reality as well as AR smartphones and AR-based tablets and the use of environmental sensors. Mixed reality represents the range of how people perceive and interact with the digital world.
Blockchain
Blockchain evolved from the digital currency infrastructure into a digital transformation platform. Blockchain technology offers a radical departure from today's centralized transactions and recording mechanisms and can serve as an intrusive digital business foundation for established companies and startups.
Despite the hype surrounding blockchains that initially focus on the financial services industry, blockballs have many potential applications, including government, healthcare, manufacturing, media distribution, identity verification, title registration and supply chain. While it holds long term promise and will undoubtedly create distractions, the blockchain promise surpasses the reality of blockchain, and many related technologies have not produced for the next two to three years.
Encouraged Events
The core of digital business is the idea that businesses are always feeling and ready to take advantage of the new digital business moments. Business events can be something digitally recorded, reflecting the discovery of a state or a renewed state change, for example, completion of a purchase order, or an aircraft landing.
With the use of event brokers, IoT, cloud computing, blockchain, data management in memory and AI, business activity can be detected faster and analyzed in more detail. But technology alone without cultural change and leadership does not provide full value of the event-driven model. Digital business is driving the need for IT leaders, planners and architects to embrace the thought of the event.
Sustainable Adaptive Risk and Trust
To safely enable digital business initiatives in the world of planned attack, security, and risk management leaders, targets should adopt adaptive and continuous adaptive trust approaches to enable real-time, risk-based, and trust-based decision making with adaptive responses.
The security infrastructure must be adaptive everywhere, to accept opportunities - and manage risks - that come provide mobile security at the speed of a digital business. As part of the CARTA approach, organizations must address the barriers between the security team and the application team, just as DevOps tools and processes address the division between development and operation.
Information security architects must integrate security testing across multiple points into the DevOps workflow in a largely transparent, collaborative way for developers, and retain team work, Dexterity and speed of DevOps and agile development environments, providing "DevSecOps."