What does native artificial intelligence mean?
In November 2022, OpenAI's ChatGPT emerged, with a dialogue interface comparable to real people and the ability to answer subtle questions, finally allowing the world to truly understand artificial intelligence. With the platform setting a record of 1 million users in the first 5 days, a large number of companies have begun to launch their own AI driven or AI powered tools and products, striving to keep up with this trend.
I believe that artificial intelligence has the ability to change every aspect of our lives. When the heat and dust of artificial intelligence settle, we will find that a new era of computing, work, and life has arrived.
How do we build this platform?
We first raise questions that truly align with the concept of experience first. I'm not referring to questions like 'Is the network running properly?'.
But rather questions such as "How can we ensure that every user in every location receives a consistent experience?" or "Can the network solve problems by adjusting before users discover them?" or "Can the network meet the needs of all stakeholders
Because our industry has long focused on metrics such as device performance, network infrastructure condition, device speed, and throughput. These are important parts of the development blueprint, but in the past few years, the blueprint has become bigger and more complex. The winners of the internet in the next decade will be those companies that know how to focus on providing the perfect experience.
We start with these experience oriented questions and answer them through the correct technical segmentation, including AIOps, the only AIOps in the industry that can truly run on the entire end-to-end network.
But not all AIOps are the same. At Juniper Networks, we believe that world-class AIOps can be summarized into three key aspects.
Firstly, there must be accurate data. This is because if you don't know what problems need to be solved, you won't be able to start.
Fortunately, we had foresight several years ago to build products in a way that could extract rich network data from them. So much so that we can now collect a large amount of useful data from switches, access points, routers, and firewalls, allowing network operators to understand the end-user experience.
Of course, collecting accurate data alone is not enough. What you can do with this data is also very important. The correct real-time response must be accompanied by appropriate actions, not just issuing alerts. By constantly monitoring the satisfaction of every user on the internet, we can proactively address issues before they are discovered by our customers.
Incomplete AIOps only issues prompts and alerts, often false positives, which IT administrators ultimately ignore. Excellent AIOps, such as Juniper Networks' AIOps, can proactively solve problems before they begin to affect the experience.
Finally, without a suitable security infrastructure, these are impossible to achieve.
Juniper Network provides the industry's most scalable and secure infrastructure for the era of artificial intelligence - from devices to operating systems to cloud hardware and software, everything is available. Our infrastructure is built specifically for processing massive amounts of data, and more importantly, it can bring results that change the industry landscape.
Now, we are at another turning point in artificial intelligence. But this will be a change even greater than the birth of the Internet, and this scale of change will require us to rethink how to build the network.