We have experienced remarkably high volatility over the past three years, including supply chain disruptions, historically high inflation, geopolitical unrest, and of course an unprecedented worldwide pandemic and the ensuing lockdowns.
It has never been more difficult for many business leaders and entrepreneurs to navigate this environment. Fortunately, new technological solutions are being developed in concert with these issues to support forward-thinking executives in positioning their firms to succeed in the tumultuous years to come.
Knowing the top tech trends expected for 2023 is probably the most important step you can take to make sure your company is prepared for near-term success. After all, if you don't start preparing your business for the newest technological advancements as soon as the year starts, you'll already be behind!
In light of this, let's examine some of the major technological trends for 2023 as identified by Gartner Research, and consider how you may use them to prepare your company for a better, more prosperous future.
1. Digital Immune System
The past few years have seen an unparalleled focus on risk, both in the physical and digital world. Cybersecurity concerns are increasingly acute, as data breaches and other cybersecurity concerns are becoming increasingly sophisticated.
Fortunately, methods for protecting against online criminals, spammers and other unwanted online pests are improving in sophistication as well. Through observation, automation and the latest developments in design, a robust digital immune system can significantly mitigate operational and security risks.
As the utility of these tools becomes more established, expect to hear many more questions about the health of your organization’s digital immune system in the year to come, and what you’re doing to strengthen and protect it.
2. Applied Observability
The 2010s saw an abundance of tools and methods of capturing more data than anyone knew what to do with. Thus, with seemingly endless quantities of client data now available, it’s likely that the next step will be toward creating new uses for data that’s been collected.
Applied Observability uses Artificial Intelligence to analyze and make recommendations for greater efficiency and accuracy based on an organization’s compiled data. It optimizes data implementation by placing more value on use of the right data at the right time for rapid response based on confirmed stakeholder actions, rather than intentions. This can lead to real-time operational improvement, and a tangible competitive advantage for your business.
3. AI Trust, Risk and Security Management (AI TRiSM)
We’ve all heard a lot about AI over the past several years, but believe it or not, many industries are still in the early stages of AI implementation.
With the focus on risk throughout every industry post-pandemic, it’s no surprise that AI Trust, Risk and Security Management (AI TRiSM) will be a major focal point in the tech space next year. AI TRiSM combines methods for explaining AI results, new models for active management of AI security, and controls for privacy and ethics issues, all in support of an organization’s governance, reliability, security, and overall health.
4. Industry Cloud Platforms
Cloud adoption has been a major component of digital transformation for over a decade, and 2023 will almost certainly prove to be another year for more sophisticated, industry and organization-specific cloud adoption strategies. By combining SaaS, PaaS and IaaS with customized functionality, Industry Cloud Platforms may prove to be the most consequential step toward cloud adoption to date.
5. Platform Engineering
As adoption grows and digital platforms mature, expect to see an increased emphasis on customization. That’s what platform engineering offers: a set of tools and capabilities that are developed and packed for ease-of-use. For development teams and end-users alike, this could mean increased productivity and simplified processes.
6. Wireless-Value Realization
We’re still only beginning to scratch the surface of the value gained by the integration of wireless technology through a broad, interconnected ecosystem.
In the coming years, we’ll see wireless endpoints that are able to sense, e-charge, locate and track people and things far behind traditional endpoint communication capabilities. Another step towards optimization of collected data, wireless-value realization networks provide real-time analytics and insights, as well as allowing systems to directly harvest network energy.
Combining the features of an app, a platform and a digital ecosystem within a single application, superapps offer a platform from which third parties can develop and publish their own miniapps. An end user can activate micro or minapps within the superapp, allowing for a more personalized app experience.
8. Adaptive AI
Using real-time feedback to new data and goals, adaptive AI allows for quick adaptation to the constantly evolving needs of the real-world business landscape. The value provided by adaptive AI is apparent, but implementing these systems requires automated decision-making systems to be fully reengineered, which will have a dramatic impact on process architecture for many companies.
As noted above, you’re likely familiar with the term “metaverse” by now thanks to Mark Zuckerberg. However, if the lackluster performance of Meta’s stock is any indication, you’re one of the many who has yet to be sold on the benefits of the metaverse.
Regardless, metaverse technologies that allow for digital replication or enhancement of activities traditionally done in the physical world should certainly not be dismissed. There is far too much at stake, and the possibilities are far too intriguing for too many people to write off metaverse technologies quite yet, even if the pilot versions fail to impress.
10. Sustainable Technology
Until recently, the tech world has been single-mindedly fixated on boosting the power of new technologies. But as tech becomes increasingly integrated into every facet of our lives, we’re seeing new investments in energy efficient tech and tech that promotes sustainable practices.
Emissions management software and AI, traceability and analytics for energy efficiency are all allowing both developers to build sustainability-focused tech, and allowing business leaders to explore new markets and opportunities for sustainable growth.
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