Gartner Emerging Technology Trends

https://gyazo.com/7b7a604f9e85c1c26da521e462e7abf9

AI, one of the most disruptive classes of technologies, will become more widely available due to cloud computing, open source and the “maker” community. While early adopters will benefit from continued evolution of the technology, the notable change will be its availability to the masses. These technologies also foster a maker community of developers, data scientists and AI architects, and inspire them to create new and compelling solutions based on AI.

For example, smart robots capable of working alongside humans, delivering room service or working in warehouses, will allow organizations to assist, replace or redeploy human workers to more value-adding tasks. Also in this category are autonomous driving Level 4 and autonomous driving Level 5, which replaced “autonomous vehicles” on this year’s Hype Cycle.

Autonomous driving Level 4 describes vehicles that can operate without human interaction in most, but not all, conditions and locations and will likely operate in geofenced areas. This level of autonomous car will likely appear on the market in the next decade. Autonomous driving Level 5 labels vehicles operating autonomously in all situations and conditions, and controlling all tasks. Without a steering wheel, brakes or pedals, these cars could become another living space for families, having far reaching societal impacts.

Read more: A CIO’s Guide to AI

Emerging technologies in general will require support from new technical foundations and more dynamic ecosystems. These ecosystems will need new business strategies and a move to platform-based business models.

“The shift from compartmentalized technical infrastructure to ecosystem-enabling platforms is laying the foundation for entirely new business models that are forming the bridge between humans and technology,” says Walker.

For example, blockchain could be a game changer for data security leaders, as it has the potential to increase resilience, reliability, transparency, and trust in centralized systems. Also under this trend are digital twins, a virtual representation of a real object. This is beginning to gain adoption in maintenance, and Gartner estimates hundreds of millions of things will have digital twins within five years.

Read more: A CIO’s Guide to Blockchain

2018 is just the beginning of a “trans-human” age where hacking biology and “extending” humans will increase in popularity and availability. This will range from simple diagnostics to neural implants and be subject to legal and societal questions about ethics and humanity. These biohacks will fall into four categories: technology augmentation, nutrigenomics, experimental biology and grinder biohacking.

For example, biochips hold the possibility of detecting diseases from cancer to smallpox before the patient even develops symptoms. These chips are made from an array of molecular sensors on the chip surface that can analyze biological elements and chemicals. Also new to the Hype Cycle this year is biotech, artificially cultured and biologically inspired muscles. Though still in lab development, this technology could eventually allow skin and tissue to grow over a robot exterior, making it sensitive to pressure.

Technology, such as that seen in smart workspaces, is increasingly human-centric, blurring the lines between people, businesses and things, and extending and enabling a smarter living, work and life experience. In a smart workspace, electronic whiteboards can better capture meeting notes, sensors will help deliver personalized information depending on employee location, and office supplies can interact directly with IT platforms.

On the home front, connected homes will interlink devices, sensors, tools and platforms that learn from how humans use their house. Increasingly intelligent systems allow for contextualized and personalized experiences.

SYM_logo_test

What will be the next top 10 technologies?

In general, infrastructure is no longer the key to strategic business goals. The appearance and growing popularity of cloud computing and the always-on, always-available, limitless infrastructure environment have changed the infrastructure landscape. These technologies will enable a new future of business.

For example, quantum computing, with its complicated systems of qubits and algorithms, can operate exponentially faster than conventional computers. In the future, this technology will have a huge impact on optimization, machine learning, encryption, analytics and image analysis. Though general-purpose quantum computers will probably never be realized, the technology holds great potential in narrow, defined areas.

A second new technology in this trend is neuromorphic hardware. These are semiconductor devices inspired by neurobiological architecture, which can deliver extreme performance for things like deep neural networks, using less power and offering faster performance than conventional options.

Read More: A CIO’s Guide to Quantum Computing