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Purposes of Big Data

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Everything you need to know about big data

Big data comprises structured, semi-structured, and unstructured data that is collected by the organization. And mined for machine learning. The organization usually mine information for learning projects. Such as predictive modeling and advanced analytics applications.

Storing and processing big data has become an important component of data management in a variety of organizations. Big data is characterized by 3Vs namely, volume, variety, and velocity. Doug Laney, an analyst at Meta Group Inc. helped identify these characteristics back in 2001. Today, more Vs have been identified such as veracity, value. And variability of data. Big data does not refer to any specific volume of data. But it refers to the deployments such as Terabytes (TB), Petabytes (PB), and Exabytes (EB) captured over time.

Why is Big Data important?

Many companies use big data to improve their day-to-day operations. And customers survive through personalized marketing campaigns. As well as Big data allows them to increase profitability by creating content. That aligns with customer preferences. This provides companies an edge because they can make more informed business decisions.

Big data is especially useful because it provides companies with insight into customer behavior. This can be monumental in refining marketing campaigns. And increasing customer engagement which then leads to higher conversion rates. Big data helps companies become more customer-centric and competitive.

Big data can come from different sources such as transactions, customer databases, medical records. As well as social networks, scientific research repositories, and machine-generated data. The raw form of data is then processed using a data mining tool also called data preparation software for different business purposes.

Here are some of the business purposes of Big Data.

Big data is most commonly used for comparative analysis. Because it includes an examination of customer behavior. And gives real-time engagement and comparison of different products and brands.

Purpose of Big Data:

Through social media listening, information about customers is gathered through polls and surveys. Marketing campaigns can be improved with more information to sell products. And services while focusing on customer satisfaction and sentiment.

The volume of big data is the most commonly cited characteristic of big data. Big data does not refer to a lot of data. But the volume of data is quite important. The data is collected through clickstreams, systems logs, and stream processing systems.

Velocity has to do with the speed at which big data is generated, processed, and analyzed. Various data types are stored in what is called a data lake. Which is a cloud storage service. Big data applications consist of multiple sources of data that are integrated. With an attempt to predict how future sales may work. By correlating sales made in the past. Information about consumer behavior is used to market products in current marketing campaigns. Velocity is important because it helps expand the machine learning and AI capacity of an organization by automatically processing collected data. And generating insights Purposes of Big Data.

Similarly bigger sets of data provide Variability. As well as use large sets of random numbers. And figures which could have multiple meanings and are less consistent. There are many different ways that this intel can be used.

There are many more Vs associated with big data. And they all serve different purposes. There are up to 10 Vs associated with big data.

How can big data be stored and processed?

It is a handful when it comes to the underlying computer infrastructure. The data needs to be quickly processed. Computing systems that are not as sophisticated. Can be overwhelmed by the high volumes and varieties of data. The organization requires adequate processing of big data. Which often results in hundreds or thousands of survivors operating collaboratively in clustered architecture. Technologies such as Hadoop and APache Spark come to mind when discussing big data processing. This could mean a huge investment for companies and often companies shy away from making it.



The role of Digital Marketing

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We live in a time when the internet is accessible to everyone. Every day the number of people who go online increases. You might wonder how that is even possible but research shows that internet usage among adults has increased by 5% alone in the past three years. Offline marketing is becoming less and less effective with the number of people who now spend the majority of their time looking at a screen.

Marketing in any form focuses on connecting and engaging with the audience and in the past few years. As well as the audience on social media platforms and the internet has significantly increased. This means that for a business, the best place to market their products. And services is on the internet. Digital Marketing is simply out, any form of marketing that is done through an online channel.

The role of Digital Marketing

Digital marketing takes into account electronic devices and encompasses online channels. Through Search Engine Optimization (SEO), social media, and other tools, available websites help connect prospective customers to the products and services that are offered by businesses. This is not to say that traditional marketing doesn’t exist anymore. It is still important for businesses to print ads, and put up billboards but that doesn’t mean that digital marketing is something to underestimate. In fact, through email, social media, video, and search engines, businesses can open up new avenues and there are more possibilities for them to reach their customers.

Nowadays businesses need to utilize digital marketing for brand awareness. There’s a website for every other brand and those brands that do not have one, make the most out of their social media presence. Pushing out digital content for marketing purposes is the need of the hour because consumers rely on brands providing them all the necessary information through social media or their websites.

To become a competitive business owner, they need to embrace digital marketing and delve into creating social media strategies that focus on your growth and building a digital presence.

What do Digital Marketers do?

Digital marketing is a field for creatives. It is an ever-evolving terrain where using the right marketing tactics can transform a business. With the help of analytics, you can monitor the success of your content. And determine the Return on investment (ROI) of all your campaigns. This is not possible if you design a billboard that has no analytics to show for the number of people who stopped to stare at it or were affected by the promotion.

Digital marketers are concerned with creating a marketing strategy.  As well as supports larger campaigns with specific goals. There are many paid channels at their disposal to launch their campaigns. So that they can showcase their digital content. Such as online brochures, posts, and emails to the target audience for conversion.

Content marketing falls under the umbrella of digital marketing. And requires using blog posts with internal links to products. These blogs help generate paid or organic reach which allows them to create an emailing list. And market products to interested audiences. Moreover, it is important to use social media to promote blog posts through paid or organic campaigns.

An important component of digital marketing is Search Engine Optimization. There is a lot that goes into making websites and web pages rank. SEO helps you generate traffic for your websites through online channels. And can especially benefit websites, blogs, and infographics.

Why does your business need Digital Marketing?

Digital marketing allows you to reach a larger audience through traditional methods. The larger the audience the more your content is viewed. Traditional methods of marketing can cost companies a great deal. But do not necessarily provide stakeholders with analytics. And real-time data to justify their utility. In the case of digital marketing, the companies may not have to worry about spending too much on a campaign for a trial basis or gathering enough data. Digital marketing is a lot more cost-effective than traditional marketing.

More and more people now spend their time on platforms such as Facebook, Instagram, and Youtube. Running an ad campaign on these platforms is much better than running an ad on television. Because you can measure the watch time, the demographics, control where the ad is played, and much more.

The advent of Digital Marketing has made it so much easier for businesses to identify and reach out to their target audiences. With the help of social media targeting features you can not only broadcast your content to a larger pool, you can ensure that you are targeting only those that do show interest in your product or service based on their past behavior on the internet. This way a keyword that is popular and most relevant to your industry can easily become the driving force behind all of your content strategy.

Digital marketing is especially useful because it helps you match up to the bigger players in your industry. Having an online presence is a huge factor in determining whether or not customers are interested in what your brand has to offer. In the digital age, it is the online presence that determines the worth and value of a brand.

Artificial Intelligence

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What is Artificial Intelligence: AI for beginners

To understand what AI is, we must go back to the 1950s when Minsky and McCarthy. The fathers of Artificial Intelligence first described it as any task performed by a machine or a program carried out in such away. That had a human performed the same task. It would have to be accomplished by using intelligence. The AI systems that we know of today exhibit similar behaviors. As human intelligence such as planning, learning, reasoning, problem solving and knowledge representation, perception, motion, and manipulation, and although minimal, creativity.

AI today is used for a variety of things such as recommending what to search for next. Your favorite tunes to listen to on the drive back home or spotting what photo you might be in, and more. This is a great use of algorithms and data science in the field of detection and planning. But there are many different types of AI.

In general, there are two broad categories of AI: Narrow AI and General AI.

What is Narrow AI

Narrow AI is used in all the computers today. From computer systems that we grew up using, their intelligent systems whether they are taught or learned as well as those that are specially programmed to perform certain tasks. Different types of machine learning are used to identify speech and language recognition and suggest items for you to shop based on what is already in your cart. The Narrow AI systems are programmed to learn and perform only a specific number of tasks which can often be a ‘narrow’ list.

Within Narrow AI many emerging platforms are being used. A good example of it would be interpreting video feeds from drones and transferring visual inspection of infrastructure to responding to customer queries. Many intelligent suits can carry out monotonous tasks. Such as booking a hotel for you or giving weather updates and flagging or censoring inappropriate content online. Artificial Intelligence can be used to enrich your experience with everyday machines such as elevators, cell phones, and cars.

What is General AI

With the help of general AI, you get to use an adaptable intellect that imitates human intelligence. Because it is flexible and can help carry out a variety of tasks. The range of tasks that can be carried out include, giving a haircut to creating spreadsheets and filling them. The accumulated experience of AI is commonly seen in movies. And can expertly complete tasks with the kind of efficiency that only borders on reality.

Studies show that it will be decades before AI can be fully developed. AI is predicted to be the ‘super-intelligence‘ that greatly exceeds and recognizes cognitive performance. In all domains of virtual interest. Many AI experts believe that certain projections are wildly optimistic. And limited to our understanding whereas others are yet centuries away from being achieved.

What is Machine Learning?

Within the umbrella of AI, there is a broader field of AI Machine Learning which depends on large amounts of data to carry out specific tasks such as understanding and recognizing speech and or captioning photos. Machine learning is one of the most important concepts to study in the field of AI. Machine learning cannot be achieved with neural networks that inspire brain networks of interconnected layers and algorithms. This can feed data into each other and allows for a trained performance of tasks based on the input data that is passed between the layers. The network learns how tasks will be carried out going forward.

Machine learning enables deep learning with the expansion of neural networks which sprawl into a huge number of layers and train massive amounts of data. With the help of deep neural networks, it is made possible that the ability of computers to carry out tasks and speech recognition is improved.

Evolutionary Computation

Another key area within the field of AI is evolutionary computation. That draws on Darwin’s theory of natural selection. This approach allows AI design models to undergo a process of decision making as well as mimicking behavior. The use of evolutionary algorithms helps optimize neural networks. Also is known as neuroevolution which plays an important role in helping design efficient AI in the use of intelligent systems.

AI has made significant strides in the past few years. Namely in the field of machine learning and deep learning. This has been the biggest breakthrough which has fueled the easy availability of data. And expansion in parallel computing power. In the coming years, it may be possible to use GPU clusters to train machine learning systems. Many tech firms are using specialized chips to enable recent training or machine learning models.




Web Development

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What is Web Development? 

Our lives are governed by the technological changes happening around us. As well as The simplest of apps can make a huge difference. In how we lead our lives. And every day the world is completely changed by yet another technological invention. The most important role in this process is a web developer. If it wasn’t for a web developer. There would be no websites, no software, no worldwide web. 

But what exactly is web development? And what does a web developer do? 

To the world outside, the process of creating a website looks extremely complicated. And even though we use websites and mobile apps every day. We are quite unaware of the intricacies of web development and how it works. This fascinating discipline has taken the world by storm. As well as web development as of today is among the ten most highly paid jobs in the world. 

What is Web Development?

The process of building websites and applications on the internet is called development. Websites could be built for the internet. As well as accessible to everyone. Or they could be built for a private network, also called the intranet. Although the design of a website is quite important. The job of a web developer is much more focused as well as on the coding and programming of the website to ensure that it is functional. 

Almost all the tools we use on the internet today, be it e-commerce websites or static web pages, they have all been created by web developers. 

Web development is broken down into three layers. 

The first layer is known as the client-side coding also known as frontend development. Which has everything to do with what the user of the website experiences directly such as colors, fonts, and other visual elements. 

The second layer is called server-side coding. Also known as backend development which as the name suggests, has to do with what goes on behind the scenes such as storing and organizing data smoothly. 

The third layer is known as database technology which focuses on storing data in such a way that it can easily be retrieved. 

Web developers use their knowledge of all three layers to create a website’s look, feel, and functionality. They are responsible for making the website look visually appealing, informative, and user friendly. 

Web developers are responsible for ensuring that the website looks visually appealing while remaining fully functional using the coding languages such as HTML, CSS, and JavaScript. Web developers are the architects, engineers, and builders behind websites. 

What is a Web Developer’s job?

A web developer is supposed to build and maintain websites. Web developers are often occupied with the task of identifying and fixing bugs that allow the website to be optimized regularly. The problem-solving skills of web developers are evident from how often they come up with solutions to workaround glitches to keep the websites working smoothly. 

Web developers do require proficiency in programming languages as different types of developers need different types of languages. 

Web developers also specialize in mobile app development for iOS or Android. This requires that they are fluent in Swift, the programming language created by Apple, and Java, the official programming language for Android. 

How To Hire A Great Web Developer?

It’s a fact that web developers do require proficiency in programming languages as different types of developers need different types of languages.

Here’s the link for your reference: Toptal Developers