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Big Data is Not Just Self-Driving Cars and Autonomous Drones!

Big Data is Not Just Self-Driving Cars and Autonomous Drones!

Big Data has been in front of our eyes all these years, precisely the same way as the air around us, but we can’t see it! 

Really?

Undoubtedly, we have witnessed a tremendous digital transformation over the years. However, the business dynamics are highly changing due to the adoption of new technologies and trends. As a result, more and more firms have started concentrating on analyzing Big Data to interpret and understand their audience. 

Notably, the trend is not going anywhere, and Artificial Intelligence technology is on another level when it comes to talking about demand. Let’s not overlook the fact that data and AI both are empty in each other’s absence. 

Why? 

To begin with, here’s something for you to understand:

Big Data and AI: A Match Made in Heaven 

Well, everyone’s familiar that the internet can now provide detailed information on consumers’ data and preferences. Information extracted from social media accounts, tagged brands, likes and dislikes on posts, etc., are monitored to collect the data in bulk. 

Here’s precisely when AI comes into the picture! AI analyses all the data present on the internet and turns it into valuable information. 

Now, do you understand why Big Data and AI are inseparable? 

The Fusion of Big Data and AI

Now that you’ve understood the importance of Big Data and AI for each other, here’s more to how the mechanism takes place. So, take a look!

It all begins with the data that is fed into the AI engine. Notably, artificial intelligence is all about automation, so it eliminates the need for human intervention. Additionally, AI algorithms and Machine Learning (ML) are utilized to get to the root of Big Data, offering profitable information to businesses for decision-making.

Initially, Big Data acquired emphasis because of its headline-grabbing digital transformation. From self-driving cars to delivery via drones became some of the popular trends, and it seemed like the FUTURE IS HERE! 

Use Cases of Artificial Intelligence 

Since there’s repetitive mentioning of AI, here’s more you must know about the use cases. 

  • AI in Education

AI and education are like ‘two bodies, one soul.’ Notably, AI is bringing continuous enhancement in the education sector, and one of the very common examples is analyzing MCQs via these devices. 

Furthermore, the tech can be used to delivering interesting lectures to keep the students hooked to the course. Not only this but the course material can also be translated into other languages to make it accessible to a wider audience. 

  • AI in Food 

Did you ever imagine that the tech could be used in the food industry?

Yes, you’re thinking it right! AI can highly contribute to the development of cafes’, bars, restaurants, and food manufacturing. 

Additionally, more and more food ordering apps are being developed that enable users to order food with a click! 

Notably, all such activities have directly impacted the food industry, the reason being the Artificial Intelligence tech. 

  • AI in E-Commerce 

How can we forget to talk about fashion and accessories! One of the biggest examples of the perfect utilization of AI in e-commerce is Amazon.

How? 

Amazon offers recommendations and personalized suggestions to the customers, leading to higher consumer satisfaction. 

  • AI in Finance 

As mentioned before, AI eliminates human intervention leading to reduction in errors. Notably, Robo-advisors now play the role that human advisors used to play in the past. Not only this, but the finance industry is the thing of the numbers. Therefore, AI in the financial sector is one of the best things that could happen.

  • AI in Travel 

You must be familiar with AI-enabled assistants and chatbots. Notably, places like airports, museums, etc., have started utilizing facial recognition methods for check-in. It reduces the unnecessary time that otherwise had to be spent in long queues. 

  • AI in Healthcare 

AI is enhancing the healthcare experience as robot-assisted surgeries are now being adopted by medical professionals. Additionally, AI is helping in proper medical research and improved conduct. 

Now that you know about some of the best use cases of AI, let’s move forward to learn more about some of the undiscovered or unknown Big Data trends. 

So, are you excited?

Top-Notch Big Data Trends of Today and the Future  

  • Cloud Storage of Data 

An organization extracts data from numerous directions; therefore, due to the extraction of data in bulk, data storage can become an issue. 

To eliminate the same, cloud and hybrid-based cloud solutions are being opted for an uncomplicated storage structure. Other than that, the cloud enables more people to access information in real time. Additionally, it solidifies resources. Thus, one won’t have to buy more servers and have them set up. 

  • The Enhancement of the Data Fabric Tech

Data Fabrics is another crucial development that emphasizes the expansion of the space. The trend is primarily being adopted by the organizations that require expanded accessibility for Big Data. 

Notably, the data fabric architecture enables companies to efficiently store and recover required data sets.

  • AI and ML-Based Automation 

One of the most popular trends out of all is utilizing big data analytics for automation. Therefore, human intervention will be replaced entirely by automation functionality only when Big Data is available. 

Undoubtedly, AI and ML are game-changers and can automate the mechanism, making it a seamless experience. 

  • Big Data in Self-Driving Cars 

Undoubtedly, a great deal of technologies has been leveraged into the making of self-driving cars. However, big data has played a vital role in attaining success. 

As we all know that the idea of ML comes from big data. Therefore, having the bulk of information enables autonomous transportation to think in the most complicated ways and make decisions. 

For instance, blind spots can be taken care of with the help of sensors, that otherwise would be impossible to detect by human beings. 

  • Big Data and Autonomous Drones 

Drones are capable of collecting data and store them to give businesses the power to use it to their advantage. 

In older days, drones were used to collect graphic information, like videos and images. However, nowadays, drones are also utilized to gather emissions, for radio signals, and more. 

In short, drones possess the capability to help each and every industry! 

  • Predictive Analytics 

Big data analytics have always been a safe approach for companies to gain a competitive edge. Whenever firms face issues, they turn to data analytics tools to figure out the causes behind the same. 

In simple words, the predictive analysis gives a picture of the future by predicting the upcoming events. Therefore, companies are able to act accordingly by predicting their consumer’s next move. 

  • Quantum Computing 

The current time technology requires time for processing the bulk of data. However, Quantum computing performs the calculations even before the probability of the object’s state is measured. 

Organizations can make timely decisions only if the data is compressed and the processing time is reduced. Therefore, the whole process can take place with the help of Quantum computing. 

  • Edge Computing  

Edge computing is a mechanism that lessens the distance of the connection that occurs between a server and a customer. Additionally, it enhances data streaming without any delay and allows immediate response from the devices. 

To put it in an effective manner, edge computing is a well-organized method to process the bulk of data by consuming lesser bandwidth. Not only this, but it also eliminates unnecessary expenses for an organization and enables software to run in remote areas. 

Cost of Tech-Integrated Mobile App Development

Sure, anybody would want to know the estimated cost to develop a mobile app, especially when modern tech and trends are to be integrated. 

Notably, there’s not a universal figure that would apply to every app development project. Instead, the investment varies as per the nature of the project, which depends upon numerous factors. 

What are these factors? Take a look!

  • Choice of the platform- Android, iOS, or other
  • Tech stack used
  • Number of features integrated
  • Complexity of the project
  • UI/UX design
  • Developer’s cost
  • AND MORE!

In a Nutshell 

As there’s a rapid increase in global data, organizations are looking forward to making an informed business decision. 

Unquestionably, Big Data is the reason behind actionable data insights, using which the company can bring improvements to its functionality and mechanisms. 

The only major challenge is data privacy and security; however, new standards are being established by the government for security. 

Have you understood the reason behind the rising competition in the market? Big Data and Automation have become primary factors when it comes to mobility. Therefore, if you’re planning on app development or want to enhance the experience of your existing apps, it is essential to play smart. 

How will you do so? By connecting with the best app developers! 

So, what are you waiting for?

Get on board with the professionals and build an efficient product for your business. 

Also, don’t forget to stay tuned to this space for more relevant information!

 

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