Best Top 10 Technologies That Will Mark 2023

Technologies

The Top 10 Technologies That Will Mark 2023

 

The search for sustainability, the metaverse, or super applications will have a special impact on companies, according to Gartner.

Optimize, scale and be pioneers are the premises that the consulting firm Gartner identifies that the technologies implemented by companies must have. To do this, he believes that there are 10 strategic trends that will emerge in 2023. “Industries will be affected by environmental, social, and governance expectations and regulations, which translate into a shared responsibility to apply sustainable technologies,” says David Groombridge. “Each investment must be compensated with its impact on the environment, taking into account future generations.”

These are the main trends that the consultant sees:

 

Sustainability

 

Technologies

In a recent survey, CEOs reported that environmental and social changes are now one of the top three priorities for investors, after earnings and revenue. This means that they must invest more in innovative solutions to meet their social responsibility goals. This requires a new technology framework that increases the energy and material efficiency of IT services, enables traceability, analytics, renewable energy, and artificial intelligence (AI), and implements IT solutions to help clients to achieve their own goals.

 

Metaverse

 

Technologies

The analytics firm defines the metaverse as a collective shared 3D space, created by the convergence of a virtually enhanced physical and digital reality. Gartner believes that the entire metaverse will be device agnostic and not owned by a single vendor. It will have a virtual economy of its own, enabled by digital currencies and NFTs. By 2027, more than 40% of large organizations worldwide will use a combination of Web3, cloud augmented reality, and digital twins in projects of this type.

 

Super Applications

 

Technologies

A super app combines the features of an app, a platform, and an ecosystem into one piece of software. It not only has its own set of functionality but also provides the ability for third parties to develop and publish their own applets. By 2027, more than 50% of the world’s population will be daily users of these solutions.

 

Artificial Intelligence

 

Technologies

Adaptive AI systems aim to continually retrain models and learn within runtime and development environments based on new data to rapidly adapt to changes in real-world circumstances that were not anticipated or were not expected. available during initial development. They use real-time feedback to dynamically change their learning and adjust goals.

 

Digital Immune System (DIS)

 

Technologies

76% of teams responsible for digital products are now also responsible for generating revenue. The CIO is looking for new practices and approaches in their teams that they can adopt to gain business value, as well as mitigate risk and increase customer satisfaction. A digital immune system provides that roadmap by combining data-driven insights into operations, automated and extreme testing, incident resolution, software engineering within IT operations, and application supply chain security to increase security. resilience and stability of systems.

 

Applied Observability

 

Technologies

Visible or observable data reflects all digitized resources, such as records, traces, APIs, dwell time, downloads, and file transfers… Applied observability feeds back these resources in a highly orchestrated and integrated approach to accelerate decision-making.

 

Trust, Risk, And Security Management For AI

 

Technologies

Many organizations are not well prepared to manage the risks of AI. 41% have experienced an AI privacy breach or security incident. However, those that did well achieved better results in their AI projects as many more moved from proof of concept to production.

 

Industrial Platforms At Scale In The Cloud

 

Technologies

These offer a mix of SaaS, Paas, and IaaS that provide specific suites to support business use cases. Companies can use the packaged capabilities of cloud platforms as building blocks to compose unique and differentiating digital business initiatives.

 

Platform Engineering

 

Platform Engineering

It is the discipline of building and operating internal self-service development platforms for software delivery and lifecycle management. Its goal is to optimize the developer experience and accelerate the delivery of customer value by product teams.

 

The Value Of Wireless

 

Wireless

While no single technology will dominate, enterprises will use a spectrum of wireless solutions to serve all environments, from office Wi-Fi to mobile services to low-power services and even radio connectivity. By 2025, 60% of businesses will use five or more wireless technologies simultaneously.

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