Key technology trends for 2018


The top trends for 2018 rely on digital platforms and pave the way for more business innovation. The survey stresses that companies should be aware and adjust or risk losing competitive advantage to those companies that are ready to face the new scenario. These are trends that can not be ignored.

Main points of the survey:
There is no doubt that Artificial Intelligence offers and adds value to the activities of all industries, thus enabling new business models.

And it does this by supporting key initiatives such as customer engagement, digital production, smart cities, autonomous automobiles, risk management and speech recognition.

As people, places, processes and “things” become increasingly digitized, the tendency is for them to be represented by their “twins” or virtual profiles. This will provide fertile ground for new ecosystems and business models geared towards the digital environment.

The way we interact with technology will undergo a radical transformation in the next 5 to 10 years. Conversation platforms, augmented reality, virtual reality and mixed reality will provide more natural and immersive interactions with the digital world, making the experience more and more real.

A digital business must be sensitive and continuously adapted. The same applies to the security and risk infrastructure that sustains it, which should focus on spotting potential intruders and predicting security actions.

Main analysis done by the research:

Digital businesses merge the physical and virtual worlds in a way to transform all kinds of commercial projects, industries, markets and organizations. The continuous evolution of this format explores emerging and strategic technologies to integrate the physical and digital worlds and in this way create totally new business models.

The future will be defined by smart devices that offer increasingly insightful digital services everywhere. Gartner calls this network of interconnected people, devices, content, and services of intelligent digital mesh.

This “mesh” is enabled by digital business platforms, offering an intelligent and rich set of services to support these formats.

Some of the trends analyzed by the research:

Artificial intelligence:
A Gartner survey of 2017 found that 59% of organizations are still gathering information to build their Artificial Intelligence strategies. In addition, the market indicates a strong investment in starters selling these technologies.

The creation of systems that learn and potentially act autonomously will be a competitive differential for technology providers. AI techniques are evolving rapidly and companies will need to invest heavily in skills, processes and tools to successfully exploit these techniques.

Intelligent Apps and Analytics:
Smart applications have the potential to transform the nature of work and the structure of the workplace.

Over the next few years, virtually all applications, applications and services will incorporate some level of artificial intelligence.

Vendors like SAP, Oracle and Microsoft are incorporating more advanced AI functions into their offerings. For example, leading enterprise software vendors are emphasizing sales, services, marketing, and ERP as particularly valuable areas for applying AI techniques.

These smart applications feed the trend of the talk platform to create a new intelligent middle tier between people and systems.

Smart applications can create a new intelligent middle tier between people and systems. These templates make it easier for people to build and extend the wizard’s capabilities.

By 2020, the automation of data science tasks will enable data scientists to produce more advanced analytical data than specialized data scientists.

Smart applications are a long-term trend that will evolve and expand the use of AI in applications and services by 2037.

Intelligent Things:
“Smart things” are physical things that go beyond the execution of rigid programming models and exploit Artificial Intelligence to offer a more realistic interaction format. AI is generating breakthroughs for new “Intelligent Things,” such as stand-alone vehicles, robots, drones, and even home appliances such as vacuum cleaners.

By 2022, autonomous vehicles are likely to be used on roads in limited, well-defined, geo-controlled and controlled areas. But the general use of standalone cars will probably require a person in the driver’s seat in case the technology fails.

IA will most often be incorporated into everyday things, such as home appliances like Amazon Echo.

Other markets have similar potential for integrated intelligence. For example, today’s digital stethoscope can record and store heartbeats and breathing sounds. Collecting a massive database of such data with IA support would allow physicians to receive diagnostic support in real time.

As Intelligent Things proliferate, we expect a shift from autonomous to collaborative behavior. In this model, several devices can work together regardless of human intervention. For example, if a drone examined a large expanse of land and discovered that it was ready for harvest, it could dispatch a “standalone harvester.” In the delivery market, the most effective solution may be to use a standalone vehicle to move packages to the final address. Robots and drones on board the vehicle could then make the final delivery of the package.

Digital Twins – Digital Twins:
A digital twin is a digital representation of a real world entity or system. Data from multiple digital twins can be aggregated for multiple

Well-designed “digital Gemini” assets could significantly improve business decision making. They are linked to their real-world counterparts and are used to understand the state of the thing or system, respond to changes, improve operations, and add value.

By 2020, we estimate that there are more than 20 billion sensors and endpoints connected and these digital copies will exist for potentially billions of things. Benefits will include asset optimization, competitive differentiation, and better user experience in almost every industry

Digital twins can enhance data knowledge and improve decision making, and eventually help in the development of new business models.

Over time, these digital representations / models will be more strongly connected to their real-world counterparts. They will be infused with more sophisticated models based on Artificial Intelligence.

Interaction / Conversation Platforms
Conversation platforms will drive the next major paradigm shift in how humans interact with the digital world.

As the term “conversation” implies, these interfaces are implemented primarily in the user’s spoken or written natural language. Over time, other input / output mechanisms will be added to explore vision, taste, smell, and touch for multichannel interaction. The use of expanded sensory channels will support advanced knowledge, such as the detection of emotions through the analysis of facial expression and the state of human health through olfactory analysis.

Changing the user experience form will create new digital business opportunities, but it will also pose significant IT security and management challenges. Performing the continuous, immersive and conversational user experience will require a far better appreciation of privacy and permission.

By 2020, application vendors will increasingly include talk platforms in bundled applications. In the coming years, conversation interfaces based on natural language interfaces will become the main design goal for user interaction. Gartner predicts that by 2019, 20% of smartphone user interactions will be through VPAs (Voice Personal Assistants, such as Siri, Alexa, etc.).

These are some of the trends raised by Gartner in your research, you can read the complete file, with all the data clicking here.