Category: IoT

Internet Of Things For A Common Man

Understanding Internet Of Things

 

“Anything that can be connected, will be connected.”

 

People who understand Internet Of Things and its potential will tell you that the Mantra above will be the talk of the town in the coming years. Anything you can imagine, anything at all would be connected to the internet, it is happening now and will only expand aggressively. So, wouldn’t it be imperative to know what exactly IOT is and how it works?

 

Imagine this situation. You logout of your office swiping the access card, the sensor sends a message to your car parked below which has already started and the navigation system has already plotted the route to your home alerting you about the traffic on different possible routes. The air conditioner in your house switches on automatically before you reach the house and adjusts the temperature according to the weather outside. The coffee brewer on intimation brews some coffee for you and the refrigerator sends you a message about the missing groceries. At a single touch, before you reach your house, the coffee is brewed, the air conditioner has set the tone for your comfort and the groceries have arrived at your doorstep. This is the power of Internet Of Things.

 

Every single device connected to the internet and integrated to feed off data from each other to make our lives better is probably just the gist of it. And this is not just for machines, it can be even for the minutest component of your machines. From a commercial airliner to a sewing machine, from your car to a water heater, everything is soon going to be unified on a single network. The opportunities are unlimited. Most of which might be out of our analytical might. Yet harnessing even a portion of it can create something as revolutionary as the wheel or fire.

 

 5 Internet of Things Application

 

Change has always been the buzzword. It is what signifies human existence. The change was first seen in 1974 with the Automated Teller Machines(ATM), and now amazingly there are far more objects connected to the internet than people on the planet. The most accepted ones so far are vehicles with all their user enhancing systems on board. With the advent of wearable devices such as fitness trackers and smartwatches, the horizons have expanded even more. Smart Kitchens, Smart living rooms, Smart houses, imagine every single electric impulse transferred as data to the internet for other user oriented actions. And if this is just the beginning, we already have over 4.9 billion connected devices and counting.

 Now, that we have a fair idea of what really Internet of things is, let us see how it will revolutionize our lives in the coming future:

1. Smart Highways:  Roads with ‘on the go’ warnings about weather expected ahead and diversions in case of mishaps and blockages will soon be functional across the globe. Smart highways will have a unified platform that will integrate data from traffic signals, traffic sensors, vehicle movements and on board GPS. It will be similar to living organism that constantly updates the vehicles about traffic patterns, speed limits and adversities.

2. Autonomous Cars: Cars with auto park feature are already in the testing phase. Many cities across the globe have given a green signal for testing the driver-less car as well. The autonomous cars, equipped with intelligent sensors will feed off years of data from vehicle databases to analyse driving patterns and road hazards. Autonomous cars will constantly update itself to make the driving experience a risk free and a safe one.

3. Patient Surveillance: Monitoring of vital signs for patients in hospitals and elderly people in old age homes is an important application of Internet Of Things. Right from the blood pressure, heart beat and other vital stats, to minute changes like changes in the pressure and temperature patterns of the room, all the data can be monitored to ensure better patient surveillance.

4. Smart Homes: Internet Of Things can automate an entire home filled with appliances and lighting systems. A single touch of hand can automate appliances even before you enter the house. Right from your groceries to garbage disposal, every household chore can be planned and scheduled for. It will give you the comfort of controlling your appliances even when you are miles from your home.

5. Defense Systems: Defense forces across the world have already started applying this technology, some of them on their more secure systems. The defense capabilities of any nation will surge ahead and their warning systems will become more accurate.

 

How Internet Of Things is changing lives:

 
As discussed earlier, Home Automation with the assistance of Internet Of Things is soon going to change the way we live. Smart Homes are going to make our lives much more comfortable and hassle-free. By 2025, more than a quarter of the world’s population is expected to have a semi automated smart home.

A step towards this was taken by GoodWorkLabs, recently.They created an application for one of their clients which offers complete home automation solutions. With the Internet of Things application developed,  the user can control the functionality of  home appliances with just one touch:

1) Adjust the AC temperatures in your Bedroom before you even reach home.

2) Set an alarm so that you are never late for the important things in life.

3) Adjust the lights in your living room to create evening.

4) Enjoy movie nights by setting your favorite movie lists on the TV.

5) Never miss out on your grocery lists.

IoT - Internet of Things

 

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These are just a few of the important applications we would see in the coming days, as mentioned earlier, the uses are limitless. We need to expand our horizons and think further ahead to employ ways that can protect human interests. Internet Of Things is the result of human evolution eventually. Everything we have ever invented, every medium we have explored and every thought we have recorded, all connected together.

Technically, it maybe devices connected to each other. In reality, it is every single person connected through their devices.

“If you think Internet has changed your life, think again. The internet of things will change it all over again.” – Brendan O’Brien, Aria Systems

 

5 UX Challenges With Internet of Things (IoT)

In the emerging trends, Internet of Things (IoT) is the most discussed technology that has impressed users across the globe by transforming the way they complete their daily tasks. As per Juniper’s recent report, the IOT connected objects, sensors, devices, and actuators are expected to reach over 46 billion in 2021(approximately.) Since a lot of new advancements will be experienced in ‘smart’ devices, apps and products, UX designers may experience various challenges while coping up their products and services with this technology. Read the article below to know about some current problems that every UX designer is facing while making products and services available for the future:

1.     Challenges While Designing the Application

It is important to keep in mind while creating IoT products that they are the dumbest versions of modern devices. Incorporating artificial intelligence and an argument for adopting the change are the two prime concerns that aren’t easy to resolve. Product designers may get stuck while crafting something that can work as per the main functioning of an application.

2.     Usability Concerns

IoT is automating monotonous tasks to enhance user efficiency and effectiveness. One of the biggest challenges a user experience designer faces is – IoT being in its infancy stage. Since no OEM has developed a product individually, most of the marketed gadgets lack usability. Another major constraint is that these products aren’t using traditional approach because the current knowledge and experience aren’t applicable at all. Gadgets can be only optimized and improved basis research, and it will take some time.

5 UX challenges for iOT

3.     Device Connectivity – Are We Prepared?

If IoT is the future, then it is imperative to consider that the future devices will be of no use if they aren’t connected to the network. Since the entire process works on transferring data without human intervention, it becomes a mandate for users to stay connected over the same network. Laptops and Smartphones facing network issues is quite common, what if your hundred dollars smart device also displays the same error? The biggest question is – are we ready for this? The answer is No. Developers will require discovering newer ways to handle such situations on IoT devices as they won’t be online all the time.

4.     Glitches – Something You Can’t Ignore

The IoT brings new and exceptional challenges for UX designers. We are entering the world where the poor web or mobile UX may survive, but the poorly functioning smart object with delayed experience could be problematic. A burnt toast or breakfast will never be welcomed with a pleasing smile; however, a delayed web page experience can be tolerated for some time.

5.     UX Should Be a Priority

While making products for the future, the user experience designing should be the priority because a single issue in the product or its features may ruin the entire experience. The principle for designing IOT’s product is – make it work, incorporate efficiency, add security, and bring on the innovations.

Conclusion

Working on the core principles of ensuring task handling processes faster and comfortable, the technology is creating endless possibilities for making everything connected over an app. Since many users may not adopt IoT empowered devices quickly, designers and manufacturers must incorporate certain features in them to compel users for choosing the smart devices over traditional ones.

How Machine Learning will Decide Which IoT Trends Will Survive

The growth of IoT is fueled by the fact that there are more than 6 billion IoT devices in use, and is successfully connecting humans and devices with every passing day. From automatic air purifiers and scheduling hospital beds based on the merit of physical condition, to finding misplaced objects, we have it all. These devices do not come easy; it requires machine learning which programs it to be what we get today.

How machine learning will decide which IoT trends will survive

The ‘things’

Qardio Arm a wireless blood pressure monitor which has left behind the regular monitor is an example how machine learning can bring about change in IoT. With the help of cloud, this machine can store the readings of the patient on cloud and be shared with the doctors digitally. Such products make IoT survive in the market due to its performance enhanced due to machine learning, not just this it opens up a market for the product and increases sale.

Another startup, Zenatix, manufactures and installs smart meters and sensors to reduce energy wastage through monitoring of the devices at every level, using its cloud technology.

Machine learning will keep you going

Just detecting impure air or Fitbit monitoring exercise patterns, isn’t enough. Consumers (especially B2B consumers) want to have deeper level of value from IoT.

This is exactly where machine learning comes in.

Machine learning which will include big data sets, larger algorithms, pattern recognition, image processing and data mining bring greater chances of improving the device.  Through machine learning algorithms and data, now devices can sense a person’s mood or behavior. This will help them to adjust to their requirements and hence provide ‘smart’ value as a part of its convenience and comfort offerings.

Google’s Nest is one such which has made ‘smart’ device indeed a smart one with its cutting edge technology and makes people’s home a smart home.

Race to top

There are many IoT companies but only a few have what it takes to survive this market. With Innovations being made every day the companies have to keep up and make their devices top notch and make improvements to stay in the running.

With this, there is the development of the device that makes the consumer happy not just to have a useful device but a powerful one.

Machine learning which makes the product powerful and has other benefits to the consumer such as cost reduction and not having to buy many smart devices to make one smart device work makes it stay in the IoT industry.

Everyone can be winners

IoT startups have a bright future with several companies who are looking to make investments which are lending their machine learning knowledge to make worthy and smart devices. Cisco Investments are infusing more than $150 million globally in IoT startups. This is a clear indicator that IoT devices from all over the world can get funding and the necessary hardware for making machine learning possible even if it is a small startup with limited capital.

Like they say, things should change with the change in times or be left behind, which is very appropriate in the world of IoT which can be overcome by machine learning.

How IoT is Impacting the Automotive Industry

In just the next 3 years we will see an unprecedented 90% of the cars fitted with some or the other form of connectivity platform. Combine this with the recent strides Google has taken to improve the performance of its driverless cars, and what we see is that IoT is moving up fast as a decisive influencer in the automotive industry.

What is the trend currently?

Automobile manufacturers have witnessed a growing opportunity in getting their cars connected on digital platforms. A Business Insider report states that there is an $8.1 trillion revenue opportunity in connected cars that will materialize between 2015 and 2020. Automobile manufacturers and policy makers have recognized that this opportunity extends far beyond the telematics and Wi-Fi systems on cars. Think smart sensors, edge computing, chargers, radars, lidars, and public transit surveillance.

How IoT is Impacting the Automotive Industry

What value will IoT provide to automobiles?

1. Enhance access – Imagine holding a hot cup of brew while your smartphone starts the car engine in the snowy season and lets it warm up? This is an actual use case applied by BMW with its ‘My BMW Remote App’. Even if your car comprises of technology not compatible with the modern day IoT, there is a solution to it. Services like SmartStart will ensure that your car stays connected with your smartphone. Your mobile device can also launch specific actions like start, lock, or locate your car with precise GPS coordinates

2. Enhance security – Today’s mobiles are equipped with best-in-class security and encryption solutions. This advanced degree of protection can also help keep your car secure when you are not near it. One example of enhanced security enabled by IoT is the use of NFC based car door locks. You can use the NFC feature of your smartphone to lock or unlock the car door by touching your phone with the door handle. Even when other family members or your friends will use the car, you simply need to provide access to their smartphones from your mobile device. You can check out TapKey to see a similar concept – using the app to convert the mobile phone to a car key for easy and secure access.

3. Enhanced hack protection – Solutions like Karamba Security make it easy for you to thwart unwanted hackers from entering your car’s system. Its electronic Control Unit (ECU) consists of a host of measures that integrate an enhanced level of protection by using your Wi-Fi, Bluetooth, and USB ports on the car. Even if someone tries to gain unauthorized access or install malware, an automated alert is sent to the car manufacturer.

Signing off

As is evident, the amount of value provided by IoT is substantially very high. This also makes IoT a major decisive factor in the strategies of automakers. And this explains the growing interest of this industry in embracing IoT and embracing it fast.

What other advantage can IoT provide to the auto industry? Do write in to us and let us know.

3 Marketing Problems AI can Help Businesses Fix

How effective will it be to embrace AI as a marketing enabler in today’s organizations? What will be the key problems that can be solved with the help of AI? How can AI give sales and marketing the much needed competitive edge to sustain and run a thriving business?

Let’s take a look at these questions and get a quick overview of the problems AI can solve for your business’ sales and marketing division.

The rise and rise of AI

Artificial Intelligence (AI) has been gaining tremendous traction in recent times. Multiple disciplines such as NLP and machine learning have shown the business world the type of problems Artificial Intelligence can solve. Right from providing a substantial reduction in cost overheads to boosting employee productivity, the number of areas that can be impacted by the smart use of AI is abundant. One such discipline that is ripe for embracing AI is the sales and marketing team.

3 marketing problems that AI will help fix

Where do sales and marketing come in?

Throughout the customer acquisition journey, there are tons of routine tasks, documentation, and paperwork to be done. You may be surprised to know that only 20% of the sales rep’s time is spent on actual sales closing. The rest is spent on follow-up, monitoring, tracking, and support functions. It is these areas that can witness a dramatic surge in productivity with the help of AI. Let’s look at the three top benefits of having an AI system in your marketing team –

1. Qualifying leads

The leads qualification process is a tedious one. These include steps like

  • Deep research on the right fit client for your product or services,
  • Trying to phone or email the gate-keepers to find the right person within the target company,
  • Carrying out a detailed vetting process as outlined in your marketing strategy

These are the key areas where AI can show its maximum impact.

2. Lead nurturing

The golden “Rule of Seven” stipulates seven engagements with leads before they remember your brand. Many inbound leads collapse due to lack of lead nurturing, or untimely interaction. This is where AI can fit in. It can not only keep track of which stage of the buying journey a prospect is in, but can also send personalized messages at the right interval – a positive sales conversion potential.

3. The human element

Today’s sales funnel is highly automated and looks robotic. As a result, the human touch is sorely missing from the sales conversion process. With the smart integration of AI into the various marketing functions, the human touch can be brought into many interactions with the lead. This helps make a deeper connection with the customer and enable conversions of leads to sale at a much swifter pace.

Wrapping it up

While lead quality and sales conversion cycle may not be made fully hassle-free, with the introduction of AI, issues with follow up and human connection can be mitigated for faster sales conversion.

At Goodworklabs we can drive the positive impact of AI to bolster your business margins. Do connect with us for a quick consultation.

How Machine Learning Will Determine The Success of IoT In The Future

You would be hard-pressed to find anyone who is aware of the ‘Internet of Things’ and isn’t aware of its key to the future. Studies suggest that by 2020, the global IoT market will be worth more than $1.3 trillion with a CAGR or 16.9%. The world has already started experiencing IoT equipped devices in homes and offices, and the number of these devices will surpass 50 billion in next three years. These figures are good enough to avow the claim that IoT market is going to get bigger with time, and the success of IoT, in the long run, will be very much determined by machine learning. Before going into details, let’s take a look at how both of these terms are related to each other.

Internet of Things & Machine Learning

IoT is nothing but the inter-networking of devices in such a way that they can send and receive data automatically without any manual interference. Due to this data automation, IoT saves a lot of time and efforts, which results in higher productivity and better user experience. Machine learning, on the other hand, is a type of artificial intelligence that enables computers to learn quickly without being programmed explicitly. It automates the data analysis process and enables computers to learn from data using novel algorithms and hidden insights.

How Machine Learning will determine the success of IoT in the future

Some of the examples of machine learning can be – self-driven cars (Tesla & Google), online product recommendations on e-commerce sites, knowing what customers are saying about any brand on Twitter/Facebook, etc.

Can Machine Learning Determine The Success of IoT?

The sole reason behind why IoT witnessed a massive success in such a quick succession is because it has the potential to make everyone’s life easier and more hassle-free than ever before. Machine learning is another in-demand technology just like the internet of things and has everything required to take the success of IoT to whole new heights.

In an IoT based environment where terabytes of data need to be analyzed for capturing value, it becomes important for it to adopt machine learning to keep up with this IoT data and generate insights from it. Machine learning is perfectly capable of taking the billions of data points, review them, analyze them and unlock patterns or recurring trends. Doing this in an enhanced way without adding to cost overheads will make machine learning a key success driver in IoT.

Are there any barriers?

Although IoT has opened new doors to success for businesses, there are many unanswered questions which need to be addressed soon. With the passage of time, the data volumes and varieties will continue to increase. In order to compile it quickly in an efficient manner, and use for attaining organizational objectives, businesses will need to learn the proper application of IoT and Machine Learning as soon as possible.

What do you think about machine learning and IoT? Are they both required for a faster business growth? Share your feedback in the comments section.

How AI Can Help You Make A Better Social Media Strategy

Artificial Intelligence (AI) – A Great Marketing Tool

 

Effective marketing is the key to perfect branding in the business world, and numerous businesses owners across the world strive hard to take their brands to the professional arena. Here social media comes across as a valuable tool for businesses.

With 91% of the brands utilizing 2+ social media channels, and almost $8.3 billion in social media generated in 2015, this has become the primary channel to acquire users and improve brand visibility on the digital ecosystem.

In order to extend the dramatic business opportunities presented by a good social media strategy, businesses are increasingly adopting Artificial Intelligence (AI).

AI – A quick background

Changes in the tech world and business landscape led to the emergence of innovative marketing strategies and campaigns. MAPs or marketing automation platforms are the best examples of such remarkable innovations. If market reports are anything to go by, a whopping 91% of marketers believe that MAPs had been highly successful and effective in promoting brands.

We are in a consumer-centric business world where every company or establishment is working on consumer-oriented business models. Quite naturally, SMM or Social Media Marketing has emerged as one of the most effective business advertising strategies. The latest inclusion to this list is AI or Artificial Intelligence.

Ingenious and creative marketers in the B2B arena are including AI strategies while creating business marketing campaigns. Let’s find out how Artificial intelligence is helping marketers create better SMM strategies.

Harnessing the benefits of AI

How would it be if computers had the power to comprehend certain aspects and actions of the human world? That would be great, and this is what AI ensures for you. Artificial Intelligence refers to the computers’ ability of comprehending actions in the natural world. Business marketers simply can’t ignore the potential benefits offered by AI.

How AI can help you make a better social media strategy

The idea of integrating AI into existing business marketing models is undoubtedly fascinating. Artificial Intelligence is a compelling proposition and a highly potent tool, and here’s how it can be used to improve business marketing.

1. Create a personalized experience for your customer

Consumers want special treatments and personalized shopping experiences. As a brand owner, you will have to offer the right set of products or services to the appropriate buyer group. It’s here that you need to identify and understand buyer personas. Artificial Intelligence not only helps you understand these buyer personas but also conforms your marketing contents to those insights. You gain the opportunity to create personalized experiences for your target audience.

2. Real-time social media interactions

When it comes to captivating the attention of your target prospects, none other than popular social media channels will prove to be effective. With refined AI strategies, you can build real-time and effective communications with potential leads and prospective consumers.

3. Analyze customer behaviour

Business marketers often have to mine effective Customer-Relationship-Management tools to understand consumer behaviors and preferences. AI will help you analyze emails, phone calls, and social media contents thus gaining targeted insights into aspects capable of driving your prospects to take decisions.

Irrespective of the business size or sector, driving a deeply personalized consumer experience is a crucial necessity. Artificial Intelligence can help you ensure an awesome CX for your target prospects. In case you haven’t invested in this technology for your business yet, it is time you start thinking on these lines.

How Machine Learning Can Help You Understand Your Customers Better

Why invest in Machine Learning

From automated solutions to consumer feedback systems, what is the one thing that integrated business technologies use to improve operations? What has emerged as a new age approach to understand clients better, enhance sales and purchase cycle, interpret clients’ pain points, or create consumer-centric products and services?

Yes, it is the use of machine learning and Big Data analytics.

Using machine learning to boost the efficacy of Big Data analytics is what will drive modern businesses into the next decade of growth and sustainability.

How Machine Learning can help you understand your customers better

How it all began?

The sales and purchase cycle involves customers at every level. While making purchase decisions, consumers take quite a few aspects into account. Let’s take a look at these crucial factors:

  • Recognizing needs: That’s the first thing every consumer needs to do. Recognizing the purchase needs is critical to finding the right products. Therefore, every customer needs to identify his buying needs and objectives.
  • Figuring-out solutions: Once buyers are aware of their needs, they can make the right decisions. Proper identification of the problem will lead to effective solutions.
  • Decision-making process: After figuring out the solutions, consumers will have the opportunity to take effective and successful decisions.

Machine learning and Big Data analytics play a vital role in this context.

Here’s what you need to know about the benefits of machine learning in understanding customer behaviors.

1. Machine learning decodes consumer behavior

Targeted and proper understanding of customers depends on studying their behaviors. Crucial insights into their behavior and actions will help you identify their preferences and choices. Machine learning and big data help you gain insights into consumer behavior in real-time. If you wish to accelerate your bottom line, it will be imperative to leverage the benefits of machine learning and big data analytics.

2. Matching products with consumer preferences

Accurate algorithms are an integral part of the machine-learning technology. These algorithms play a crucial role when it comes to determining the price points. Retailers will have the chance to determine price points and product availability, thus matching the right set of products with specific consumer choices.

Some of the leading brands are making the most of this technology and helping consumers make better purchase decisions. Machine learning reduces possibilities of getting confused while shopping, thus ensuring an unparalleled and satisfying experience.

3. Consumers can fulfill their demands

Machine learning coupled with big data analytics can present a crystal clear picture of consumer behavior. You know your consumers’ purchase behaviors in the past, which helps you anticipate their buying preferences.

With the machine learning technology, you can gather real-time customer information. From identifying the links clicked by them to finding out contents they choose for social media sharing, machine learning helps you comprehend customer behavior in details.

Parting thoughts

In an age where consumers are the most crucial parts of the sales cycle, personalized shopping experiences will be the key to promoting your brand. By helping you understand consumer behavior, the machine learning technology will take your brand to unsurpassed success.

Wearable Devices – Taking IOT down the right path?

2016 is undoubtedly a decisive year for Internet of Things and Wearables. Both these technology revolutions happen to be the hottest in the tech arena today. While both these innovations have been considered and talked about individually until now, it’s time to see how they pair with each other. As both these technologies come together, we can surely expect exciting innovations to hit the consumer market as well as business landscape.

On that note, let’s find out whether both these technologies are at all complementing each other, and how wearable devices are revolutionizing Internet of Things.

Wearable Devices _ Taking IOT down the right path

Glimpses of the market trends

When it comes to wearable devices, users will come across numerous options. Activity trackers, smartglasses, smart watches, and embedded sensors are some of the most popular and remarkable devices in Wearables.

While some of these technologies are yet to grow and scale, most of them have successfully generated huge interest and excitement amongst users. According to reports published in Rackspace, nearly 18% of the population in UK and US are quite dependant on Wearables. That’s not all; a whopping 71% of British people and 82% of Americans claim to lead better lives because of these devices.

IoT and Wearable devices: Contending or Complementing

There has been quite a lot of buzz around the wearable technology and Internet-of-Things. Although wearable devices had some stipulated functions when they started off, things are quite different now. Today, wearable devices are no longer mediums to track fitness or see augmented views of the entire world around you.

The present times bring great opportunities for IoT. Enabling sensor-equipped things and devices to communicate with each other in actionable ways is the main idea. It’s here that present-day organizations require taking additional responsibilities.

Security will turn out to be a major concern, and it is up to the companies to decide how they will deal with the privacy or security issues.

Data analytics at its best

There is no denying the fact that Wearable devices will give birth to advanced data analytics. Businesses will have the golden opportunity to leverage this data, thus creating and providing customers with personalized products and services.

It’s not only the consumer markets reaping the benefits of IoT and wearable tech. Healthcare sectors will also experience some of the greatest advantages. With a more precise and comprehensive understanding of patients, healthcare sectors will offer targeted services.

What consumers have to say?

When it comes to discussing the consumer market, it’s highly imperative to consider both the forces. Since consumers are as important as the service providers, let’s check out what’s in store for them?

Both public sector organizations and government bodies are considering the huge potentials of wearable devices along with their impact on IoT. As far as users are concerned, the following stats will give you a crystal clear idea.

Almost 47% and 61% of wearable tech users felt intelligent and more informed because of this revolutionary union of IoT and wearables.

Signing off

With these developments in the tech arena, Wearable devices are undoubtedly taking Internet-of-things in the right direction.

IoT Trends – Where Is The Internet Of Things Headed?

Although IoT emerged as a concept a few years back, it was in 2015 that it reached unprecedented heights of success. From homes and workplaces to businesses and enterprises, connected devices and Internet-of-Things seem to be the buzzword. With close to 80 acquisitions in 2015, IoT has some of the greatest opportunities this year.

IOT Trends – Where is the Internet of Things headed

However, trends are expected to undergo massive shifts in 2016. Until now, businesses have been taking a keen interest in Internet-of-Things, but not all of them have thought about adopting it.

According to market predictions, 2016 will mark a new beginning for IoT. Entrepreneurs will make the ‘big’ move, thus implementing IoT solutions for their dream ventures. On that note, it’s high time we take a look at the top IoT trends, along with what future has in store for them.

1.      Transactional integrity and advanced data management

Internet-of-Things and connected devices will make operations easier than ever! Manual processes and operations management will take a backseat, thus making it simpler to maintain transactional integrity, construct services, and perform data analytics. With innovative technologies getting discovered each day, IoT will propel your enterprise towards unsurpassed growth.

2.      Data intelligence is important

Connected devices will lead to better data production and analysis. If the past few years have witnessed the rise of Big Data and Data Intelligence, 2016 will take it to the next level. Enterprises will put their best efforts to make the most of Big Data, by leveraging connected devices.

3.      Say ‘B’ for BlockChain

As an integral, crucial, and inseparable part of IoT, BlockChain happens to be of paramount significance. By increasing security and enabling integration or inclusion of less valuable devices, Block Chain makes device control and management a simple and easy affair.

That’s not all; Blockchain also leaves an impactful effect on network traffic alongside optimizing IoT. By reducing network congestion and ‘chatter’, BlockChain happens to be a unique trend to watch out for!

4.      IOT and Cognition 

Leveraging enterprise data will be the key to driving productivity in your company. However, unrelated and outside data can help your dream venture earn that competitive edge in the market. Identifying and analyzing social, weather, and language data might just prove to be the key differentiator for your business.

Simply put, it’s the capability of handling large data inputs along with the power to produce meaningful outputs that make all the difference. It’s here that cognitive IoT emerges as a unique and effective approach to make it happen.

As a bottom line, IoT will continue to revolutionize business organizations thus leading them towards unsurpassed growth and innovation. However, the trends will be quite different this time. Enterprises will no longer consider IoT as just a crucial technology. Rather, it will emerge as an integral part of their enterprise infrastructure.

What’s your take on this?

The above discussion brings us to a crucial question. With such advancements, transformations, and trends, the Internet-of-Things is heading towards revolutionary growth and development. As an entrepreneur, how will you adopt these changes and incorporate them into your existing business infrastructure? Do write in to us and let us know.

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