2023 is coming fast, and with the new year comes new strategic technological trends that will allow companies to reach the next level. Gartner just revealed those trends, and we’re going to explain them to you with our data twist!
Digital immune system:
The digital immune system combines different methods and processes to enhance the products, services and systems’ resiliency. It combines data observability, AI-augmented testing, chaos engineering (voluntary stressing of IT infrastructures via the insertion of disturbing factors), autoremediation, site reliability engineering and software supply chain security.
Put more simply, a maximum of data is generated and analyzed to make IT infrastructures more resistant.
According to Gartner, companies that invest in a digital immune system will increase customer satisfaction by 80% by 2025.
Applied observability is using observable data in a highly orchestrated and integrated manner in business functions, as well as application, infrastructure and operation teams. This applied use of observable data aims to make decision-making faster and a lot more precise.
For example, Tesla, in addition to their cars, also sells car insurance, and sets its price according to data collected from the sensors and the autopilot software of the cars. This data is then used to attribute a personalized score to drivers and thus calculating an individualized insurance fee.
By 2026, 70% of companies using applied observability will have gained a competitive advantage in their market or their IT processes.
TRiSM stands for Trust, Risk and Security Management.
The evolution of this management regarding AI makes it easier to adopt, and this ease allows for faster achievement of goals on the different projects where AI is implemented.
By 2026, organizations with an operational AI TRiSM will see a 50% increase in terms of adoption and goal achievement. When we know that AI is more and more used in data analysis and management, we can only welcome this innovation.
Industry cloud platforms:
Industry cloud platforms create value for organizations by integrating cloud services generally sold separately in customizable solutions relevant to the industry in question.
They thus enhance organizational agility, speed innovation and value creation in a company.
These solutions will probably become mainstream rapidly, since Gartner estimates that by 2027, at least 50% of organizations will use industry cloud platforms to speed up their processes.
Platform engineering is the construction of platforms sitting between the end users and the software developers and data scientists. These platforms combine reusable components, developer tools and self-service developer portals.
By centralizing teams, tools and data, these platforms allow faster delivery on projects.
This trend will be adopted by 80% of software engineering organizations by 2026. Nike already adopted it and has built customized platforms with composable and modular technologies exposed through APIs. These platforms allow the company to react more rapidly to changes and reduce its project delivery delays while also reducing operational costs.
The integration of wireless technologies offers a reliable, flexible and cost-efficient technical foundation with, among others, the aim of maximizing data value while limiting capital expenditure.
For example, the Israeli retailer Shufersal uses chips to track its vegetables during their journey from the farms to the store shelves, collecting data along the way that can be used for inventory and supply chain management.
BY 2025, the number of organizations using wireless technology and networking services beyond communications will go from less than 15% to 50%.
Superapps, which are conceived as platforms, add to their main features an access to secondary applications created independently. The sharing of data between the superapp and its miniapps aims to create a highly personalized and contextualized experience for end users.
PayPay, for example, is a Japanese payment platform that uses a superapp which integrates, among others, miniapps where users can buy third-party products and services in addition to its main financial management app.
By 2027, 50% of the global population will use superapps daily.
Adaptive AI can be rapidly developed, deployed, adapted and maintained across different environments inside the organization.
The development of a less rigid AI allows for a maximization of data value and a fast response to the demand for faster time to market.
Let’s take the example of Cerego, an American military training software. The software uses adaptive AI to offer personalized courses and tests according to the user’s results.
According to Gartner, companies who implement adaptive AI will achieve a performance at least 25% superior to their concurrents’ by 2026.
The technologies used in the metaverse represent new challenges, but also new opportunities for companies in many industries, on an internal level as well as an external level.
JPMorgan Chase, the US investment bank, thus intends to generate a trillion dollars a year as the first bank to open in Decentraland, one of the most popular metaverse platforms.
By 2027, 40% of large companies will use a combination of Web3, spatial computing and digital twins in metaverse projects to increase their revenue.
Gartner grouped the different trends in themes, but the last one is more of a global trend. Indeed, sustainable technology is a global issue and can be addressed in all companies. It allows companies and their customers to contribute to the decrease of the global carbon footprint, and has the potential to create better operational resiliency and better financial performance. It thus not only constitutes an altruistic initiative, but also a growth path.
Sustainable technology can be implemented by choosing energy-efficient equipment, infrastructure and services. Companies can also put carbon emissions tracking and management procedures in place. That will notably help with the company’s ESG performance.