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7 Technology Trends IT Pros Need to Know for 2018

Gartner analysts gathered in Orlando last week to reveal their bets for the top strategic technology trends for 2018.
As 2017 draws to a close, IT leaders are thinking ahead to the technology trends that will impact their business over the next 12 months and beyond.
Gartner analysts gathered in Orlando last week to reveal their bets for the top strategic technology trends for 2018.
According to Gartner, a strategic technology trend is one with “substantive disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.”
Here are 7 strategic technology trends for 2018, relevant to IT pros, and what can be done now to prepare:
1. AI Foundation
Gartner expects that creating systems that learn and act autonomously will be a “major battleground” for technology vendors through 2020.
Action Item: Invest in skills, processes and tools to build AI-enhanced systems; these include data preparation, integration, and algorithm and training methodology selection; model creation
2. Intelligent Apps and Analytics
Apps and services will continue to incorporate some level of AI. According to Gartner, intelligent apps create a “new intelligent intermediary layer between people and systems and have the potential to transform the nature of work and the structure of the workplace.”
Action Item: Think about how AI can add business value to software and services, improving user experiences
3. Digital Twin
Digital twins, in the context of IoT projects, is a promising area over the next three to five years, Gartner says. Digital twins of assets have the “potential to significantly improve enterprise decision-making.”
Action Item: Consider a strategy for digital twins; over time, improve their ability to collect and visualize the right data, apply right analytics, and respond effectively to business objectives
4. Cloud to the Edge
Edge computing places content collection and delivery closer to the sources of this information, cutting down on latency.
Action Item: Begin using edge design patterns in infrastructure architectures
5. Conversational Platforms
While conversational platforms have reached a tipping point around their understanding of language and basic user intent, they still fall short, Gartner says.
Over the next few years, conversational interfaces will be delivered in dedicated hardware, core OS features, platforms and applications, according to Gartner.
Action Item: Select conversational platforms that have robust conversational models and APIs to help deliver complex outcomes
6. Event Driven
According to Gartner, business events are anything that is “noted digitally, reflecting the discovery of notable states or state changes, for example, completion of a purchase order, or an aircraft landing.”
Event brokers, IoT, cloud computing, blockchain, in-memory data management and AI all help business events be detected faster and analyzed in greater detail, Gartner says.
“Event thinking is a key component of digital-business-native organizations. A well-functioning digital business is always in an ecosystem, always sensing and always ready to respond -- so it must be well-grounded in event processing,” Gartner says.
Action Item: Consider what cultural and leadership changes are necessary along with technology to embrace event-thinking
7. Continuous Adaptive Risk and Trust
Continuous adaptive risk and trust assessment (CARTA) approaches allow for real-time decision making, and strike down barriers between security teams and application teams, according to Gartner.
Action Item: Integrate security testing at multiple points into DevOps workflows (DevSecOps)
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Best 5 Latest Information Technology Trends in 2018

Best 5 Latest Information Technology Trends in 2018

Best 5 Latest Information Technology Trends in 2018
Technologies along with industries and markets have scaled new heights in the year 2017. Whether it was smartphones, data security or artificial intelligence there was considerable advancement and progress in the field of technology. But this is not all as these can be a turning point for bigger things to come.
Although it is difficult to make future predictions, certain indicators in the last year can help to provide a glimpse of what 2018 holds for us. Below we have made top five tech trend predictions that will certainly change the way of the world.

Tech No 1: Machine Learning & Artificial Intelligence

In 2017 Artificial Intelligence and Machine Learning have seen considerable advancement by making deep-rooted progress in most sectors. Seeing this trend of data algorithms and data explosion along with easy access to ML tools will all change our lives and also the way we interact with other people and objects. AI will show its presence in new startups and new tech companies from driverless cars to AI chatbots in the present year.

Tech No 2: Internet of Things(IoT) & Blockchain Revolution

2018 will witness an increase in the use of mobile devices to manage smart gadgets and interconnected devices like smart doors, smart locks and smart cars with your smartphones. The data explosion that automatically comes with IoT will make 5G imperative for mobile service providers.
Blockchains that grew in popularity last year will be the center of focal attention in 2018. Though Cryptocurrency is backed by decentralized digital leaders, predictions are that their real value will be visible in other areas besides the growth of digital currency. Moreover, the blockchain influence will expand and transform the Internet of Things with a reduction in the risk of hacking as the data will be stored across a chain of millions of computers.

Tech No 3: Quantum Computing

Although computers have become faster and more efficient progress in the silicon technology sphere has slowed down. The next step according to scientific studies is Quantum computers that will bring about a new wave in computer technology promising a revolution in the world. In comparison to conventional computing methods which depend on brute force and bits to find an answer to problems, Quantum computers use qubits that allows them to find a solution directly without having to beat around the bush with possible negative answers.

Tech No 4: Foldable SmartPhones

While 2017 saw bezel-less displays, 2018 will see a great innovation in mobile devices with foldable smartphones. Such phones with foldable displays will allow designers and scientists to make innovations beyond imagination. Smartphones will become compact and more portable if they are folded. There are already rumors of Samsung launching one such foldable device this year.

Tech No 5: Augmented Reality

With tech giants like Facebook, Google and Apple embracing Augmented Reality we are all awaiting the first AR apps in the present year. Experts are expecting their efforts to start paying for Augmented Reality finally becoming very big. Everything from smartphones and laptops to gaming consoles and medicine will see this technology to play a big pivotal role.
The year 2018 seems a promising year as far as digital transformation is concerned to be it AI, IoT, Blockchain revolution, AR or Quantum Computers. Companies will certainly adopt such innovative technologies to be part of this globally competitive world.

Best 5 Latest Information Technology Trends in 2018

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Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

LOS ALAMITOS, Calif.Dec. 14, 2017 /PRNewswire/ -- Tech experts at the IEEE Computer Society (IEEE-CS) annually predict the "Future of Tech" and have revealed what they believe will be the biggest trends in technology for 2018. The forecast by the world's premier organization of computing professionals is among its most anticipated announcements.
"The Computer Society's predictions, based on a deep-dive analysis by a team of leading technology experts, identify top-trending technologies that hold extensive disruptive potential for 2018," said Jean-Luc Gaudiot, IEEE Computer Society President. "The vast computing community depends on the Computer Society as the provider for relevant technology news and information, and our predictions directly align with our commitment to keeping our community well-informed and prepared for the changing technological landscape of the future."
Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president, said, "The following year we will witness some of the most intriguing dilemmas in the future of technology. Will deep learning and AI indeed expand deployment domains or remain within the realms of neural networks? Will cryptocurrency technologies keep their extraordinary evolution or experience a bubble burst? Will new computing and memory technologies finally disrupt the extended life of Moore's law? We've made our bets on our 2018 predictions."
The top 10 technology trends predicted to reach adoption in 2018 are:
  1. Deep learning (DL)Machine learning (ML) and more specifically DL are already on the cusp of revolution. They are widely adopted in datacenters (Amazon making graphical processing units [GPUs] available for DL, Google running DL on tensor processing units [TPUs], Microsoft using field programmable gate arrays [FPGAs], etc.), and DL is being explored at the edge of the network to reduce the amount of data propagated back to datacenters. Applications such as image, video, and audio recognition are already being deployed for a variety of verticals. DL heavily depends on accelerators (see #9 below) and is used for a variety of assistive functions (#s 6, 7, and 10). 
  2. Digital currenciesBitcoin, Ethereum, and newcomers Litecoin, Dash, and Ripple have become commonly traded currencies. They will continue to become a more widely adopted means of trading. This will trigger improved cybersecurity (see #10) because the stakes will be ever higher as their values rise. In addition, digital currencies will continue to enable and be enabled by other technologies, such as storage (see #3), cloud computing (see B in the list of already adopted technologies), the Internet of Things (IoT), edge computing, and more.
  3. Blockchain. The use of Bitcoin and the revitalization of peer-to-peer computing have been essential for the adoption of blockchain technology in a broader sense. We predict increased expansion of companies delivering blockchain products and even IT heavyweights entering the market and consolidating the products. 
  4. Industrial IoT. Empowered by DL at the edge, industrial IoT continues to be the most widely adopted use case for edge computing. It is driven by real needs and requirements. We anticipate that it will continue to be adopted with a broader set of technical offerings enabled by DL, as well as other uses of IoT (see C and E). 
  5. Robotics. Even though robotics research has been performed for many decades, robotics adoption has not flourished. However, the past few years have seen increased market availability of consumer robots, as well as more sophisticated military and industrial robots. We predict that this will trigger wider adoption of robotics in the medical space for caregiving and other healthcare uses. Combined with DL (#1) and AI (#10), robotics will further advance in 2018. Robotics will also motivate further evolution of ethics (see #8).
  6. Assisted transportation. While the promise of fully autonomous vehicles has slowed down due to numerous obstacles, a limited use of automated assistance has continued to grow, such as parking assistance, video recognition, and alerts for leaving the lane or identifying sudden obstacles. We anticipate that vehicle assistance will develop further as automation and ML/DL are deployed in the automotive industry.
  7. Assisted reality and virtual reality (AR/VR)Gaming and AR/VR gadgets have grown in adoption in the past year. We anticipate that this trend will grow with modern user interfaces such as 3D projections and movement detection. This will allow for associating individuals with metadata that can be viewed subject to privacy configurations, which will continue to drive international policies for cybersecurity and privacy (see #10).
  8. Ethics, laws, and policies for privacy, security, and liability. With the increasing advancement of DL (#1), robotics (#5), technological assistance (#s 6 and 7), and applications of AI (#10), technology has moved beyond society's ability to control it easily. Mandatory guidance has already been deeply analyzed and rolled out in various aspects of design (see the IEEE standards association document), and it is further being applied to autonomous and intelligent systems and in cybersecurity. But adoption of ethical considerations will speed up in many vertical industries and horizontal technologies.
  9. Accelerators and 3D. With the end of power scaling and Moore's law and the shift to 3D, accelerators are emerging as a way to continue improving hardware performance and energy efficiency and to reduce costs. There are a number of existing technologies (FPGAs and ASICs) and new ones (such as memristor-based DPE) that hold a lot of promise for accelerating application domains (such as matrix multiplication for the use of DL algorithms). We predict wider diversity and broader applicability of accelerators, leading to more widespread use in 2018.
  10. Cybersecurity and AI. Cybersecurity is becoming essential to everyday life and business, yet it is increasingly hard to manage. Exploits have become extremely sophisticated and it is hard for IT to keep up. Pure automation no longer suffices and AI is required to enhance data analytics and automated scripts. It is expected that humans will still be in the loop of taking actions; hence, the relationship to ethics (#8). But AI itself is not immune to cyberattacks. We will need to make AI/DL techniques more robust in the presence of adversarial traffic in any application area.
Existing Technologies: We did not include the following technologies in our top 10 list as we assume that they have already experienced broad adoption:
A.      Data science
B.      "Cloudification"
C.      Smart cities
D.      Sustainability
E.       IoT/edge computing
IEEE-CS technical contributors include Erik DeBenedictis, Sandia National Laboratories; Fred Douglis, systems researcher and member of IEEE-CS Board of Governors; David Ebert, professor, Purdue University; Paolo Faraboschi, Hewlett Packard Enterprise Fellow; Eitan Frachtenberg, data scientist; Phil Laplante, professor, Penn State University; and Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president.  The technical contributors for this document are available for interview.
At the end of 2018, we will review the predictions and determine how closely they match up to technology's reality. Check back in December 2018 as we grade our latest predictions.
For past predictions, see news release for 2017 technology predictions and grades.
About IEEE Computer SocietyIEEE Computer Society, the computing industry's unmatched source for technology information and career development, offers a comprehensive array of industry-recognized products, services and professional opportunities.  Known as the community for technology leaders, IEEE Computer Society's vast resources include membership, publications, a renowned digital library, training programs, conferences, and top-trending technology events. for more information on all products and services.

SOURCE IEEE Computer Society

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