AIoT is all set to transform lives

People have been familiar with the term AI for decades. Hollywood movies showed sentient machines, which were never the depictions of technology. AI has significantly impacted the human race, including common people and experts.

AI uses analytical algorithms to generate insights by examining vast volumes of data present in remote data centers. The ability to analyze data is used to streamline the decision-making process and create an impact on multiple fronts.

AI is an independent domain of expertise but has several intersections with emerging industries. One among them is IoT. In simple terms, IoT enables machines to talk to each other, which was previously kept apart. The interaction between machines results in data generation, which paves the way for new operations and creates opportunities by increasing efficiency.

The convergence of AI and IoT is AIoT, the artificial intelligence of things. The primary objective of AIoT is to collect data, analyze it, and translate it into insights to take action by connecting the devices in an intelligent network of devices to achieve results that were unrealistic in the past.

Redefining the convention

AIoT is bringing revolutionary changes to the existing set-up. It is all set to reverse the current cloud model to which we have become accustomed. Coming from the difficulties of on-premise infrastructure, the emergence of the cloud has brought a lot of advantages. In the AIoT scenario, there is a reversal of the cloud practice. The shifting of solutions and networks appeared to solve many digital problems. But, in AIoT, the reasoning part of the data takes place on premise: a roll-back scenario.

A reliable report stated there will be more than 75 billion devices by 2025, five times the number in 2015. This report has created interest in the business world on AIoT. On the other hand, cloud infrastructure and connectivity can have different scaling levels, requiring more intelligence at the edge.

The general troubles involved in technology, like network bandwidth, scalability, downtime, and security issues, can be prevented using on-device processing power, which is the significant advantage AIoT offers. AIoT reduces network load, cuts the expenditure on expensive and resource-heavy data centers, and improves performance.

The emergence of AIoT is challenging. High-end CPUs utilize more power and are expensive, reducing this model’s feasibility. The question to be answered is how to get the necessary power to endpoint devices in an economically and power-wise feasible way.

To achieve growth, AIoT needs to address these questions.

Achieving the difficult

It isn’t easy to achieve the required processing power without the high-end CPUs’ heavy costs and energy requirements.

For AIoT to be more prominent, the processors designed for AIoT must have lower prices than the existing ones. Existing CPUs depend on third-party support, making them costly. So, new processors need new architectures by removing third-party roles. The importance of component requirements and over costs must be minimized for better results.

AIoT applications don’t need high processing power generated by the servers in a Data Center, while AI and decision-making functionality need high processing power. The need for more processing power creates a necessity for new approaches to the processing function with the help of sophisticated algorithms to pick up heavy weights while the hardware can remain lightweight.

The biggest challenge in preparing the processors that suit AIoT requirements is the nature of AIoT applications covering many applications. The AIoT market is vast and not confined to a single or a few industries or markets.

The real picture of AIoT

The requirements are many, and if met, AIoT can bring in a lot of change by revolutionizing the existing ecosystem, spanning all the sectors.

AIoT has come to our homes. Smart homes are an example. AIoT lets the users have absolute control over everything in the home without asking for attention, enabling them to invest their time in other constructive activities.

AIoT at home may look simple. However, its use in other domains like healthcare may be very effective in offering quality health services and preventive medicine. AIoT-enabled devices can provide all the necessary data and give an alarm to doctors who can come to the rescue and save lives in case of any malfunction. The whole thing is significant in building a great nation and the world.

AIoT is all set to revolutionize society and improve the quality of human lives. The task is difficult, needing significant contributions from the electronics and software industries. The challenge is big, but humans have a history of doing the undone and seeing the unseen.

Vrnda Capabilities

Our  pool of seasoned and proficient resources capable of managing AIoT tasks proficiently. Our Research and Development team constantly pursues evolving trends, crafting customer-centric solutions to achieve scalable outcomes at low costs. For all your AIoT requirements, reach out to us today and experience our expertise first-hand. Please reach us at info@vrnda.com for tailored AIoT solutions to meet your business needs!

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