As technology continues to advance and innovate, we are approaching the year 2024, which is expected to be a key turning point in the development of several technology areas. In particular, generative AI (GenAI), zero-trust cybersecurity frameworks, and edge computing will come together to drive digital transformation in the business world and shape new technology trends.
I. The GenAI Leap From Theory To Practice
In 2023, the generative AI system represented by ChatGPT was introduced, announcing the dawn of the GenAI era. By 2024, GenAI will continue to occupy the center of the technological stage, but the focus of the discussion will gradually shift from building a training infrastructure to building a reasoning infrastructure framework. This means that enterprises will focus more on how to apply GenAI technology to real business scenarios and realize a top-down strategic transformation.
At the economic level, with the widespread application of GenAI technology, enterprises will focus more on operational costs rather than training costs. To meet this demand, lightweight and more cost-effective AI models will become the new favourites in the market. These models will not only be able to run on devices with limited processing power, but they will also be able to deploy generative AI on edge devices and small enterprise architectures.
At the same time, new AI platforms will combat problems such as AI hallucinations by combining generative AI models with knowledge graphs. This will provide organizations with more efficient and accurate AI services while reducing the risk of data errors and misclassifications. As technology continues to advance, we expect to see more interconnected networks of models designed and fine-tuned for specific tasks, as well as the emergence of a true multi-agent generative ecosystem.
In addition, the evolution of multimodal technologies will lead to more complex and diverse interaction scenarios for AI models. In fields such as smart cities, smart homes, medical diagnosis, and autonomous driving, multimodal generative AI will play an important role in promoting the innovation and application of AI in more fields.
II. Zero Trust: A New Era Of Cybersecurity
Zero trust has become a popular framework in cybersecurity. Compared with the traditional reactive or passive security model, zero trust focusses more on active defence and continuous verification. The fundamental concept involves rigorously authenticating and authorizing any user or device before granting them trust.
To build a zero-trust security architecture, organizations need to follow three principles: all people, applications and devices must be authenticated; network access should be based on the principle of least privilege; and continuous trust verification and risk assessment. By implementing these principles, organizations can significantly reduce the risk of cyberattacks and improve response times in dealing with threats.
Under the zero-trust framework, enterprises need to describe and define good behavior in advance and block all unauthorized access in real time. At the same time, through fine-grained access and fine-grained control, enterprises can ensure that only users who need to know the information can access sensitive data, thus eliminating cyber risks caused by human factors.
As cybersecurity threats continue to grow and change, zero trust will become an important tool for organizations to protect themselves from attacks. Whether it is data storage, social contact, media sharing or server hosting and other areas, zero trust will provide enterprises with a more reliable and secure network environment.
III, The Rise Of Edge Computing And “Cloud Edge end Integration”
Driven by cloud computing and IoT technology, edge computing is gradually becoming a new technology hotspot. Compared with traditional cloud computing, edge computing focuses more on data processing and analysis at the source of data generation. This not only reduces the delay and cost of data transmission, but also improves the efficiency and accuracy of data processing.
Gartner predicts that by 2025, the edge side will process 75% of data generated outside of data centres and clouds. To meet this demand, large service providers are aggressively launching their own edge services platforms, such as Google’s Anthos and Amazon’s Outposts. However, for most organisations, it is impractical to use several different edge platforms at the same time.
In order to solve this problem, the concept of “cloud-edge-end integration” was born. It aims to realize unified management of resources, free flow of data, consistent operating environment for applications, and three-dimensional security by integrating cloud, edge, and end distributed heterogeneous infrastructure resources. This integrated architecture can shield the differences in the underlying hardware and operating system and provide users with more flexible, scalable and reliable services.
In short, GenAI, Zero Trust and Edge Computing will be the three main protagonists of technology trends in 2024. Together, they will drive the digital transformation and upgrading of the business world and bring us a better future.
Are you ready to dive deeper into the topics you love? Visit our website and discover a treasure trove of articles, tips, and insights tailored just for you!
