TPU Inference Servers for Efficient Edge Data Centers - DOWNLOAD

Edge AI: Driving next-gen AI applications in 2024

Categories Edge Computing News  |  Guest Posts
Edge AI: Driving next-gen AI applications in 2024

By Harikrishna Kundariya, co-founder and director of eSparkBiz Technologies

We are knocking at the door of 2024, and we know that the upcoming year will hold many significant advancements for the entire world. Every Google search presents us with an innovation, with artificial intelligence (AI) standing at the top.

Artificial intelligence has made a significant impact on our lives and is streaming our daily lives too. AI has become an integral part of smart assistants and predictive algorithms. As we step into the new year, edge AI will reshape the world by making our interaction with technology smarter and more seamless.

What is edge AI?

So, we have understood that AI is the future, but what does edge AI hold? Well, the answer is simple: Edge AI is the processing of artificial intelligence (AI) data and models at the edge of the network, close to where the data is generated. This contrasts with traditional cloud-based AI, where data is sent to a central cloud server for processing. Say goodbye to hosting data on a cloud server, and you can compute data near the data center rather than on an offsite or centralized system.

Many industries are already experiencing the groundbreaking transformation of edge AI. In the automotive sector, companies have introduced this as a solution to enhance vehicle security and safety.

But what are the major benefits of using it? We need to know some real-time benefits for all industries, right? A few benefits of using edge AI include reduction of the cost of sending data to the cloud, protection of sensitive data, processing data in real time, and less reliance on the network.

By now, more than 43% of tasks are being managed by edge devices or IoT devices. Gartner also states that 75% of the data created by enterprises will be stored outside of the data center or can be stored on the cloud by 2025. The edge computing market is expected to reach $274 billion globally by the end of 2025. Additionally, the gaming sector suggests a huge turning point in the industry with the introduction of edge AI in apps.

Where can edge AI be deployed?

Edge AI is a game changer for the modern world. This tech evolution brings us disruptive elements with diversified benefits. Now, let’s look at some of the real-world cases of edge AI.

The smart cities in Singapore, LA, Finland, NYC, and others are powered by edge AI, where traffic can be managed, energy can be used efficiently, and foremost, public safety.

Edge AI also brings the best to healthcare by personalizing treatment plans to improve patient monitoring and diagnose diseases.

The retail experience is extended with edge AI by bringing personalized experience and accessibility to customers and ensuring that products are flawless before being packaged. Edge AI also identifies issues with the products and ensures that only quality goods will be delivered.

These are some real-world applications of edge AI in various industries and sectors. But this is not the end yet. Edge AI has shown more potential, with possibilities yet to be discovered.

Next-gen applications powered by edge AI

Edge AI is the future, and its advancement will bring disruption to the entire world. This technological advancement will be witnessed in the form of autonomous vehicles, Web3, the metaverse, and much more.

Amazon is already using edge AI in its Echo devices to make smart homes. Microsoft is leading it with the Azure IoT platform, which supports distinct applications. IBM is using edge AI in the Watson IoT platform. It helps in analyzing the IoT data for better decision-making. Bosch deploys edge AI to automate the products and bring power features like driver assistance and autonomous driving.

The big brands are already working with edge AI and developing their next-generation Artificial Intelligence apps. Some companies that are going to use edge AI in the upcoming years include Intel, Google and GE.

Intel plans to use edge AI for its data centers, PCs, and IoT devices, Google is advancing edge AI in the upcoming Pixel phones, and GE is working on edge AI for wind turbines.

A final note

So, we have a future in front of us. Edge AI has transformed the world of AI and its use. Many companies are already advancing into it, whereas others are in the middle of the transformation. In the upcoming years, many advances will be witnessed through edge AI, and it will change the business paradigm so far.

About the author

Harikrishna Kundariya is a marketer, developer, IoT, ChatBot & Blockchain savvy, designer, co-founder, Director of eSparkBiz Technologies. His 12+ years of experience enables him to provide digital solutions to new start-ups based on IoT and SaaS applications.

Article Topics

 |   |   | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured Edge Computing Company

Edge Ecosystem Videos

Latest News