Emerging Technologies disruption continues to shake the world. If these new changes gain momentum and intensify, expect more strategic and revolutionary developments in 2023. According to MediaPeanut, the technology industry is experiencing a growth pattern of 5-6% per year. Capturing emerging technology waves early helps you exploit them at the earliest stages to gain a competitive advantage.
Which 2022 Technology Worked Out the Most
Before we get into the trends of 2023, let’s take a look at the technologies that performed well in 2022. Cryptocurrencies have had a “crypto winter,” and the hype around 3D printers has died down a lot, but some technologies have worked well, and it’s here. :
1. Metaverse:
More and more brands plan to be present and create better experiences in the metaverse.
2. Remote technologies:
Remote tools have enabled companies to improve productivity, connectivity, and collaboration.
3. Hyperautomation:
Companies have been doubling on automation to free resources from error-prone, labor-intensive, time-consuming, and wasteful processes.
4. Data and analysis:
Organizations leverage big data, granular analytics, and visual reporting to gain insight and make more informed, actionable decisions.
5. Artificial Intelligence (AI) and Machine Learning (ML):
AI and ML have become even more robust and have continued supporting almost all business areas.
ChatGPT and Generative AI
Generative AI and OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3) are among the critical emerging technologies in AI.
Generative AI is a subset of AI that focuses on creating new gratified rather than simply analyzing and recognizing existing data. This includes generative adversarial networks (GAN), variational autoencoders (VAE), and language models such as GPT-3.
Microsoft: Microsoft has combined OpenAI’s GPT-3 technology into its Azure cloud platform, enabling developers to create AI-driven applications using GPT-3’s advanced language generation capabilities.
Google: Google has been investing in artificial intelligence and language processing technology for many years and has announced the upcoming launch of BARD. BARD’s capabilities have yet to be resolute, but it seems to have the same level of versatility as OpenAI’s ChatGPT. We anticipate that users can ask BARD practical, concrete questions, such as planning a baby wash or creating a lunch menu after a list of ingredients.
Baidu: As a leading technology company in China, Baidu has invested heavily in artificial intelligence and language processing technology. GPT-3’s advanced capabilities can potentially help Baidu improve its linguistic services, such as search engines, speech recognition, and natural language processing. This can help Baidu stay ahead of its competitors in the Chinese market and continue to expand its business.
Digital Immune System
The digital immune system combines several practices and technologies to make dangerous applications more resilient to errors. This makes it easier for them to recover, maintain their services, manage risks and business continuity.
According to Gartner, companies that invest in digital protection will increase customer satisfaction by reducing downtime by 80%.
Fundamental concepts of digital protection include observability, AI-augmented testing, chaos engineering, self-remediation, site reliability engineering (SRE), and chain security.
These elements combine to ensure systems do not fail, provide uninterrupted services, and correct problems quickly. This helps return the system to its default state for a superior user experience.
Applied Observability
Practical observability is the ability to penetrate deep into modern distributed systems for faster, more automated problem detection and resolution.
With applied observability, you monitor the internal state of a multifaceted system by collecting, comparing, and reviewing a constant stream of data, detecting problems, and quickly correcting them.
Leverage observability to filter and troubleshoot applications. Observability combines telemetry data such as logs, metrics, traces, and dependencies.
It then correlates them in real time to provide resources with complete contextual information about the events to which they must respond. You can even use AIOps, ML, and automation capabilities to resolve issues without manual intervention.
AI TriSM Emerging Technologies
AI TriSM stands for AI Trusted Risk and Security Management. This ensures that AI technology does what it is supposed to do reliably, fairly, efficiently, and safely.
Additionally, it helps protect exchanged data, manage governance, protect confidentiality, and detect anomalies to safeguard your business-critical functions.
The AI model must be trusted to exist, interact, and function as intended. Any discrepancy could have drastic consequences, especially in companies that run multiple processes.
Manage many users, manage regular transactions, and have a heterogeneous distribution of data. AI TriSM consists of solutions and methods to manage risks, send alerts, and take action.
Drone Emerging Technologies
Drone technology is expected to take off in 2023. The supply chain is already heavily disrupted, and any unpredictability affects logistics and postponements of deliveries. This leads to unfulfilled instructions and ruined business relationships. What if businesses could shift last-mile distributions to unmanned aerial drones and enable them to reach hard-to-reach places?
Furthermore, its use is expected to increase in construction, agriculture, security, media, and military applications.
Businesses that rely on drone technology expect more significant savings by reducing redundant labor costs and fuel expenses, reducing risks, increasing revenue, and making better decisions based on the analysis of data collected by these instruments.
X No Code & Low Code Services Emerging Technologies
No-code and no-code services are platforms or tools that allow people with little or no coding experience to create software requests or automate business processes.
These services deliver a visual interface and pre-built mechanisms or modules that can be easily assembled and arranged, eliminating the need for extensive coding knowledge.
Low-code platforms provide a visual development situation where users can drag and drop types of machinery, define workflows, and arrange application logic using a graphical user interface.
No-code platforms take the concept even further by providing a highly intuitive interface that allows users to create applications or automate processes without writing code.
Despite their benefits, no-code and no-code services can have limitations. They may be less suitable for complex or highly customized applications that require extensive coding or advanced technical capabilities. Security, scalability, and performance considerations should also be evaluated when using these platforms.
Conclusion
Technological activities have never remained idle; you’re never far from the next revolutionary phenomenon. What is avant-garde today could soon become primitive. To become a true industry leader, companies must invest in the radical changes that are on the horizon. Avoiding or delaying this could cause your business to decline or even fail.
