Implementing AI in IoT empowers your business with self-learning, smart interconnected devices & systems to power up data analysis & decisions with advanced automation.
Just when the world was starting to believe that AI & IoT have individually reached their full potential & there’s no surprise left, AIoT stepped into the tech scenario. This buzzword, which technically means AI in IoT, brought in benefits in abundance. From enhanced smartness to higher influx of innovations, and much much more, the offerings in store are bottomless.
With heavier than ever reliance on technologies, the sensitivity of machine-human interaction has significantly soared up too. The IoT-generated data assists the decision-making within the corporate world, ensuring the future efforts are channeled in-line with past performance analysis. AI in IoT takes that process a level above, by reforming the workflow with addition of cognitive abilities. Let’s have a look at the nitty-gritties of AIoT & how your business can make the most of it! .
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What is AIoT (Artificial Intelligence of Things)?
In today’s time where A for ‘AI’ comes ahead of A for ‘Apple’, we all know what makes AI development services the star of every tech show. With its ability to simulate human intelligence and pair it with machinery bulk processing power, AI has made its way right through the veins of startup & enterprises alike.
IoT, on the other hand, aims to establish inter-connections among sensors, software and other computing devices to exchange data over the internet without human intervention..
Quite as the name suggests, AIoT, the commonly used abbreviation of artificial intelligence of things, brings the functional best of both worlds – AI & IoT. Simply put AIoT is the concept of supercharging IoT infrastructure with artificial intelligence (AI) technologies to add up to the efficiency of IoT operations, making human-machine interactions smoother than ever.
AIoT, the mutually beneficial crossbreed technology, enables a business to harness :
AI advantages through cognitive machine learning capabilities and decision intelligence, and
IoT edges through consistent connectivity and seamless data transfer.
In short, AIoT can assist businesses to improve their overall service line by generating IoT-driven data and AI-powered smart analysis, speeding up daily operations while maintaining highest possible accuracy.
How does AIoT Work?
Understanding AIoT fundamentals is not rocket science, let’s start by a simple statement to flesh out the idea, ‘AI in IoT’ – jumping over to the ‘how’ next.
So, in this extraordinary tech union, artificial intelligence technologies are embedded straight into IoT infrastructure components like chipsets, programs etc. To ensure the involved hardware, software & connected components interoperate frictionlessly, APIs are put in place to bridge them for convenient communication. That’s all about the development side of it. Moving over to the functional side, the IoT devices are responsible for data generation & collection, and AI takes over the task of extracting insights out of the data pool.
An alternate way to process the data is at the edge, so that the analysis takes place close to the physical devices, minimizing the bandwidth to the highest probable extent. This way, the data analysis is sped up greatly.
AIoT Use Cases
While application of AIoT is commonly associated with the usage of cognitive computing, here goes a list of use-cases that reflect higher use of AIoT:
[a] Smart City
Smart city, the technically upgraded version of urban area, where the facilities are majorly driven by AIoT, is the expert anticipated near future. Here goes a list of key areas where AIoT improves functions
- Energy tracking technology to track energy usage & emission across the city & identify new energy sources for sustainable operations
- Security cameras for real-time footage analysis to detect unusual behavior & instantly flag it for prompt action
- Consistent road imagery monitoring to assess issues as soon as they arise and recommend cost-effective repair as a predictive maintenance measure
- License plate recognition to identify cars which outstay permitted hours, and enforce payments / tickets as applicable
- Track collection, recycle, & usage of waste and recommend improved ways of waste management across the city
[b] Smart Retail
AI in IoT has given the retail industry a smart makeover, easing out the major bottlenecks across operations and user experience alike. Here’s how :
- Video-based foot-traffic tracking to modify store layouts based on product popularity to improve customer experience
- Predictive equipment maintenance to forecast equipment failure and with timely measures, avoid any downtime
- Warehouse automation according to demand through demand-alert driven warehouse fulfillment
- Route optimization for goods transportation in the most cost effective way
[b] Smart Home
With rapid advancements in the tech space, the lifestyle of urban people has evolved a lot too. A closer look at that evolution brings up two primary differentiating factors – added convenience & sped up task completion. Key use-cases of an AIoT-powered smart home that make it the ‘next big thing’ :
- Smart locks and cameras using advanced biometric authentication (face recognition, fingerprint & retinal scans etc.) authenticate access tightening security
- Smart thermostats to auto-adjust room temperature according to a pre-set schedule or on-demand
- Constant appliance monitoring to optimize energy consumption & increase appliance longevity
[c] Smart Manufacturing
We have already discussed A-Z of smart factory
You have heard us talk about IoT in manufacturing & AI working wonders in manufacturing , too.
So, you can probably guess what AIoT may have in store for manufacturing with Industry 4.0 getting a mention in every tech talk across the globe today, let’s take a look at the list once :
- Risk identification in real-time to predict & prevent breakdown through assisted intelligence
- Self-learning sensors embedded in machines to warn humans whenever potential malfunctions are detected due to overload / underload
- Autonomous intelligence to optimize resource usage for highest productivity while being greatly cost-effective
- Advanced robots to perform laboursome tasks within the warehouse to minimize risks & hazards as well as product damage
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[d] Social Media and Human Resources (HR)
AIoT has significantly boosted evolution in social media management & HR space by :
- Screening & processing suitable candidates aligned with organizational needs
- Scheduling & optimizing social media campaign & overall presence in-accordance with the target audiences’ activity pattern
- Tracking competitors’ online behavior to tap into market vulnerabilities
- Headhunt the best talent based on the market demand through performance metric analysis
[e] Advanced Healthcare
One of the first set of industries that adopted AI in IoT was healthcare and the increasing number of businesses from the industry joining the bandwagon consistently, is only a burning proof of the success. Quick look at the top aspects reaping the benefits :
- Smart telehealth and telemedicine deployed over the cloud for accurate virtual diagnosis
- Wearables to monitor health 24*7 & flag any abnormality immediately
- Remotely transitioning medical devices like nebulizer, wheelchair, blood sensor for providing quick yet accurate services
How AI Supercharges IoT?
No matter what industry, what type of business you are thinking of – when implemented, IoT devices generate enormous data. Now to get to the ‘insights’ sifting through the datapool, AI steps in & supercharges IoT through continuous real-time monitoring at each step of the day-to-day operations, to reduce associated costs and improve user experience. Let’s have a look to find how :
Speeding up niche data collection
Smarter data processing with constant process monitoring
Insightful inferencing for quicker process modification
Self-learning mechanism to modify workflow on-the-go
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Benefits of AIoT
Benefits of AI – Checked.
Benefits of IoT – Checked.
Pretty guessable, coming together, their unified version, AIoT does wonders! Here’s a sneak peek :
Higher operational efficiency
On-the-go adjustments
Informed Decision Making
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Scalability
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Machine health monitoring
Asset management
Energy consumption tracking
Video surveillance
Future of AIoT
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Source : Brand Essence Research
No, clearly not leaving it to the statistics only, when talking about the future of AIoT. There’s clearly no question over AI’s performance & social impact so far, neither is there one on the benefits IoT brings along. However, there are still milestones to be achieved, considering the potential of AI meeting IoT, working as an unified technology, AIoT.
From healthcare to manufacturing, from ecommerce to logistics, and more, the list of industries reaping the benefits of this technology is practically endless. Looking at the diverse use cases across different industries & verticals and on top of that, traditional industries like energy & utility, agriculture reshaping its functional flow adapting AIoT, the future remains no guessing game.
Challenges of AIoT
Pretty evident, there ain’t a rose without any thorn & a tech boon without pitfalls in the way of implementation! Quick look at the common challenges of introducing AI in IoT :
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Implement AI in IoT with BinaryFolks – Bypass the Pitfalls Smartly
Every challenge has a way to overcome and BinaryFolks, with hands-on experience in building AIoT solutions for businesses across a wide range of industries,can help you chalk out the best plan suiting your needs & implement AI in IoT effectively, the foolproof way! Being at the forefront of the smart revolution, with our veteran consultants’ in-depth industry knowledge and the core AI & IoT developers execution experience, in a partnership, BinaryFolks can guarantee you :
Extraordinary User Experience
Deep Expertise
Top-notch Security
Ethical AI & IoT Practises
Compliance with Updated AI Standards
High Scalability
Conclusion
That was a headful, wasn’t it?
Clearly, with great power comes great requirements of sophistication and thus, you need to find the right hands first if you want to do full justice to the mammoth investment going into your AIoT development project.
The obvious question now might be, how to make AIoT applications?
Let’s get to the answer now,
Talk to BinaryFolks AIoT Consultants