Have you heard of Superapps, Digital Immune Systems, Applied AI or Metaverse? These are some of the technology trends that should be on CIOs’ radar by 2023 according to predictions from leading consultancies such as Gartner or McKinsey. Let’s take a closer look at these trends 👇
Main strategies in the digital landscape for the coming years
In an increasingly complex, competitive and connected world with continuous social and economic changes and technological advances, companies must use the opportunities provided by data and new technologies to operate in a more efficient, faster, offshore and sustainable way.
For this reason, the technologies that will gain the most weight in the coming years will be exactly those that cover these four areas:
- IT systems optimization for greater reliability, improved data-driven decision making, and continued value and integrity of artificial intelligence (AI) systems in production.
- Acceleration of vertical solutions, increased pace of product delivery and connectivity across everywhere.
- Option for business model changes, reinvention of employee and customer engagement, and acceleration of responses and strategies to take advantage of new digital opportunities.
- Sustainability, increased efficiency of IT services, and support for sustainable business initiatives through traceability, analytics, and proper emissions management.
These technologies will align innovation with the company’s strategic objectives, providing operational and financial benefits, and creating new growth opportunities. Successfully meeting the challenges of the digital era will make the difference between growing and being left behind.
Technology trends for 2023
Based on the main needs and objectives of the companies (cost savings, margin improvement, reinvestment, growth, change of business model, etc.), business leaders and technologists evaluate the potential impact of technological trends on the different strategies in order to reach a consensus on which ones will be most notable in the immediate future.
Therefore, taking into account the main scenarios and strategies for the coming years, the technology trends that Gartner considers the most important are:
- Digital Immune System
- Applied Observability
- AI Trust, Risk and Security Management (AI TRISM)
- Industry Cloud Platforms
- Platform Engineering
- Wireless-Value Realization
- Adaptive AI
- Sustainable Technology
Let’s see what they are and how they can help companies achieve their strategic objectives for the coming years:
Digital immune system
A digital immune system is one that creates an enhanced customer experience while increasing the resilience and stability of systems. It combines data-driven insights into operations, automated and extreme testing, incident resolution and software engineering within IT operations to mitigate operational and security risks.
Through the data provided by an organization and its systems (logs, traces, file downloads and transfers, etc.), applied observability uses AI to analyze and make recommendations to make better decisions faster and more accurately. Applying this approach reduces response latency and optimizes business operations in real time.
Along the same lines, McKinsey focuses on what it calls Applied AI, models trained on machine learning to solve classification, prediction and control problems in order to automate activities, add or increase capabilities, and make better decisions.
AI Trust, Risk and Security Management (AI TRISM)
Today 41% of companies that have applied Artificial Intelligence in their organizations have experienced privacy or security incidents, reporting overall worse results than companies that have not experienced these issues.
AI TRiSM (Trust, Risk, & Security Management) combines different methods to support AI model governance, reliability, fairness, robustness, effectiveness and data protection. It makes it possible to explain the results of this technology, rapidly deploy new models, manage security and control privacy and ethics issues.
For its part, McKinsey focuses on trust and digital identity architectures, which enable organizations to build, extend and maintain stakeholder trust in the use of their data and digital products and services.
Industry Cloud Platforms
Industry cloud platforms combine SaaS, PaaS and IaaS with customized industry functionality to enable manufacturing organizations to respond faster and more agile to the relentless flow of disruptions in their industry. In addition, they use real-time data to dynamically improve and adjust objectives at all times.
This discipline consists of building and operating internal self-service development platforms for software delivery and lifecycle management, seeking to optimize the developer experience and accelerate the delivery of value to the customer by product teams. It provides a curated set of tools, capabilities and processes that are packaged for easy consumption by developers and end users, increasing user productivity and reducing the burden on development teams.
In the area of software development McKinsey talks about the importance of next-generation development tools, which help application development by improving processes and software quality, including AI testing and low-code or no-code platforms.
Wireless solutions range from providing wireless network services of all types (WiFi, services for mobile devices, radio connectivity, etc.), to supporting Edge devices or digital tagging solutions. These networks go beyond connectivity by providing location information or other data in real time. According to the study conducted by Gartner, by 2025, 60% of enterprises will use five or more wireless technologies simultaneously.
McKinsey however focuses its prediction more on advanced connectivity, where 5G/6G networks, low-power wireless networks, low-Earth orbit satellites and other technologies will support a range of digital solutions that drive growth and productivity across industries.
Superapps are applications that combine the features of an app, a platform and an ecosystem in a single piece of software. In other words, they are not just composite applications that aggregate services, but provide a platform for third parties to develop and publish their own apps. According to Gartner, by 2027 more than 50% of the world’s population will be daily users of these solutions.
Adaptive AI is the one that allows changing the behavior of models after deployment through the use of real-time feedback. That is, models are continuously retrained within the execution and development environments based on new data and adjusted objectives, allowing them to adapt more quickly to changing real-world circumstances.
The metaverse is a collective virtual space created by the convergence of a physical and digital reality that is virtually enhanced. It combines multiple themes and technological capabilities and allows not only replicating, but enhancing or extending human physical activities. According to Gartner, by 2027 more than 40% of leading companies will use Web3, cloud augmented reality and digital twins in metaverse projects.
McKinsey predicts that Web3 and immersive reality will be key technology trends from now until 2023. Web3 refers to the set of platforms and applications that enable the shift to a future decentralized Internet with open standards and protocols, while protecting digital property rights. Immersive reality technologies, on the other hand, use spatial sensing and computing to enable users to see the world through mixed reality, augmented reality or virtual reality.
Sustainability is now one of the top three priorities for companies. This means that organizations must drive sustainable business initiatives and invest more in innovative solutions to meet their social and environmental responsibility goals. They must do this not only to comply with current regulations and social judgment, but as we discussed at the beginning of the article, investments in sustainable technology have the potential to create greater operational resilience and financial performance, while providing new avenues for growth.
In the area of sustainability, McKinsey focuses on three strands: clean energy solutions, the sustainability of land and air transportation of people and goods, and the transformation of industrial and individual consumption.
At decide we help companies optimize their operations, respond quickly to change and build a sustainable future through custom software development. We apply predictive and Machine Learning models, applied AI, flexible cloud architectures and the latest mathematical optimization algorithms to extract the maximum value from our clients’ data and give them a competitive advantage.
Are you interested in learning more about these technological trends? Do you want to take the step towards Digital Transformation and get the maximum value from your data? Contact us without obligation. Also, if you want to know more about our decision and keep up to date with future actions, follow us on social networks (Linkedin, Twitter, Youtube) .