Gartner: 10 tech trends you need to know for 2023 Computerworld

Research firm Gartner highlights wireless, AI, superapps and sustainability among key strategic considerations for 2023.

IT leaders should not just cut costs, but look for other forms of operational excellence and technologies that can help them maximize resiliency and scale solutions. This requires the adoption of sector-specific products and the creation of new forms of engagement: this is the usual credo of the research firm. Gartner which, like every year, presents its Top 10 Strategic Tech Trends for 2023 unveiled at its IT/Xpo 2022 symposium.

Among these trends, the American firm cites the multiple forms of wireless, artificial intelligence and sustainability, according to Frances Karamouzis, vice president and analyst at Gartner, and external events making the decisions and strategic choices of digital decision-makers still more difficult. “Depending on which part of the world you are in, there are many issues looming, such as a potential recession, supply chain concerns, the war in Ukraine and its impact, and issues related to energy,” Ms. Karamouzis said.

IT leaders should focus on continuing to accelerate digital transformation and consider the possible use of technologies that can be applied immediately and those that are on the horizon. Against this background, Gartner’s top 10 strategic technology trends for 2023 are as follows.

1 – 5G and WiFi 6 and 7 to open up the network

No single wireless technology will dominate in 2023, but enterprises will use a variety of wireless solutions to support diverse environments, from office WiFi to mobile device services to low-power protocols ( IoT) or even radio connectivity, Gartner said. So much so that the firm predicts that by 2025, 60% of enterprises will use five or more wireless technologies simultaneously. “We’re going to see a spectrum of solutions in the enterprise that includes 4G, 5G, WIFI 5, 6, 7 all of which will create new data for businesses to use in analytics, and low-power systems. harvest energy directly from the grid. This means the network will become a source of direct business value,” Ms. Karamouzis said. As wireless networks move beyond simple connectivity, they will also provide insights through built-in analytics, she added.

2 – The rise of superapps

According to Gartner, companies will increasingly adopt a type of platform that combines the functionality of multiple applications and services into a single ecosystem, the superapp. Superapp technology has been in the news recently, as Elon Musk said he wants to make Twitter the first truly successful superapp in North America. Superapps have made waves in Asia with platforms such as WeChat, AliPay and Gojek. “While most examples of superapps are mobile apps, the concept can also be applied to desktop client apps, like Microsoft Teams and Slack, the gist of which is that a superapp can consolidate and replace multiple apps at once. customer or employee use,” Ms. Karamouzis said. By 2027, Gartner predicts that more than 50% of the world’s population will use multiple superapps daily.

3 – Sector-specific cloud computing platforms

Like superapps, major industry cloud platforms offer a combination of software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). ) that provide capabilities to support specific industry use cases. Enterprises can use these packaged capabilities as building blocks to differentiate digital business initiatives and provide agility, innovation, and reduced time to market. Gartner predicts that by 2027, more than 50% of enterprises will use industrial cloud platforms to accelerate their business initiatives.

4 – Adaptive AI systems

Gartner has previously flagged AI as a mission-critical technology, but this year it’s seeing a new trend: adaptive AI systems that continually relearn their intelligence models. These modules can learn within the runtime and application development environments based on new data and thus quickly adapt to unforeseen real-world circumstances.

“Today, if a business has a SaaS application or a new release, they can just update the software and things usually keep working, but that’s not possible with AI because she literally learns what to do on the fly,” Ms. Karamouzis said. AI applications use real-time feedback to dynamically modify their learning and adjust their goals.

5 – AI trust, risk and security management

Also related to AI, Gartner indicates that many organizations are not well prepared to manage AI-related risks. Organizations should implement additional capabilities to ensure the reliability, security, and data protection of their AI models by adopting AI Trust, Risk, and Security Management (TRiSM). This requires the participation of different business units working together to implement new measures.

A survey conducted by Gartner in the US, UK and Germany found that 41% of organizations had experienced a privacy breach or security incident related to AI. However, that same survey found that organizations that actively manage AI risk, privacy, and security performed better in their AI projects, Gartner said. More AI projects led by these organizations moved from proof of concept to production, and they achieved greater business value than AI projects led by organizations that were not actively managing these functions , said Gartner.

6 – Observability to strengthen supervision

Observable data includes digitized artifacts, such as logs, traces, API calls, wait time, downloads, and file transfers, which are generated when a stakeholder takes some action. “Applied observability allows organizations to leverage their data artifacts to gain competitive advantage,” said Karamouzis. “It’s powerful because it elevates the strategic importance of the right data at the right time for rapid action based on confirmed stakeholder actions, rather than intentions. When strategically planned and successfully executed, applied observability is the most powerful source of data-driven decision making.” This type of observability looks at data gathered from enterprise infrastructure, applications and operations in a highly orchestrated and integrated way, she added.

7 – Platform engineering

The discipline of building and operating internal developer self-service platforms for software delivery and lifecycle management is the essence of platform engineering, Karamouzis said. Gartner predicts that 80% of software engineering organizations will have platform teams in place by 2026 and that 75% will include developer self-service portals, which could include a variety of reusable components and tool libraries and other modules.

8 – Digital Immune System

A digital immunity system provides a roadmap for CIOs looking for new approaches their teams can take to deliver high business value, mitigate risk, and increase customer satisfaction. According to Gartner, Digital Immunity combines a data-driven view of operations, automated and extreme testing, automated incident resolution, software engineering within IT operations, and security within the application supply chain to increase system resilience and stability. The firm predicts that by 2025, organizations that invest in building digital immunity will reduce system downtime by up to 80%, which translates directly into increased revenue.

9 – Sustainability now essential

Sustainability transcends all strategic technology trends for 2023. In a recent Gartner survey, CEOs indicated that environmental and social change is now among the top three priorities for investors, after profits and revenue. This means that leaders must invest more in innovative solutions designed to meet environmental, social and governance demand in order to achieve sustainability goals. Gartner noted that sustainability-related spending has increased an average of 5.8% since 2017. Organizations need a sustainable technology framework that increases the energy and material efficiency of IT services, and enables business sustainability. business through traceability, analytics, renewable energy and AI. This framework should also call for the deployment of IT solutions that help customers achieve their own sustainability goals, Ms. Karamouzis said.

“Targeting areas like data center power consumption is an easy fruit to pick because it’s easy to measure,” Karamouzis said. “What companies need to look at is what to deploy as they get more and more data. Are they looking to buy more storage in the same way or are they looking to optimize that system by looking at things like DNA storage and the level of redundancy they need and implementing technology with a mindset sustainable “. According to Gartner, DNA storage allows binary digital data to be stored in the DNA double helix, taking binary coding and transforming it into coding that fits the human DNA strand. This means that a year’s worth of human knowledge could be stored in one gram of synthetic DNA for thousands of years.

10 – Metaverse

During its keynote, Gartner said the metaverse, while it may never become mainstream, holds promise. For example, Indian start-up Hirect launched a VR recruitment event in a metaverse for companies trying to attract tech talent. Gartner envisions that a complete metaverse will be device independent and not owned by a single vendor. It will include a clean virtual economy, made possible by digital currencies and other non-fungible tokens (NFTs). By 2027, Gartner predicts that more than 40% of large organizations worldwide will use a combination of Web3, cloud augmented reality, and digital twin-based projects to increase revenue.

Gartner defines a metaverse as a shared virtual 3D collective space created by the convergence of physical and digital virtual augmented reality. A metaverse is persistent and provides enhanced immersive experiences.

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Gartner: 10 tech trends you need to know for 2023 Computerworld


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