App Development Services

Engaging with AI And Machine Learning Frameworks

Mohit Chaudhary
July 31, 2020
8 min read
Engaging with AI And Machine Learning Frameworks

What is Artificial Intelligence (AI)? How is it different from Machine Learning?’ As we have seen in most of the sci-fi movies, Artificial Intelligence is not confined to robotics. On the contrary, it has a wide spectrum and machine learning is a part of it. Even though machine learning is an integral part of AI, […]

What is Artificial Intelligence (AI)? How is it different from Machine Learning?’ As we have seen in most of the sci-fi movies, Artificial Intelligence is not confined to robotics. On the contrary, it has a wide spectrum and machine learning is a part of it. Even though machine learning is an integral part of AI, it has a separate identity of its own. In today’s digitized world, where the internet is one of the most important technologies and is used as one too, Artificial Intelligence is a significant leap towards challenging the potential of web development. Artificial Intelligence is simply a system that’s intelligent enough to react to external stimuli, remotely like a human being. If we think about this very definition, we’ll now have in our minds, a variety of products in the form of software and mobile applications that have AI integrated into their program.

Machine learning, on the other hand, is the process to make a particular system expert in a stipulated field with the help of a designated algorithm. Suppose there is a computer system and a developer wants it to recognize his dog. For that, he’ll install an algorithm having details about different breeds, feeding with it, and photos of different dogs from different angles. Now, the computer can recognize his user’s dog using his camera, but if he brings a cat in front of it, he fails miserably. This is where AI has leverage over machine learning. AI is different than just making a system mug up a piece of particular information. It’s like giving the system a new brain altogether. Let’s discuss some points in this respect to better understand both aspects of web development.

  • IMPORTANCE OF MACHINE LEARNING:

Although machine learning is a narrow aspect compared to AI, it has many applications both in day-to-day activities and other technical activities. If we understand the point further using a couple of examples, let’s take Google for example. Google is a company that has integrated both Artificial Intelligence and machine learning technologies. Speaking about the former, Google Translate is a prominent example of Google Engaging with Machine LearningBefore google translate came to light, it was just a thought that any application could understand a foreign language and translate it into one’s native language. But Google Translate not only met this challenge but also came up with a technology that could understand the style of written text and reply to it according to the user’s command. Not only Google Translate there are many applications like handwriting recognition software.

  • How is Artificial Intelligence shaping the future?

Now that we’ve come down to Artificial Intelligence let’s take a look at its latest trends. Let’s take the cell phone manufacturing company Apple for instance. It surely makes one of the best technologically advanced smartphones. An iPhone, its voice assistant Siri is a beautiful example of AI. iPhone was the first smartphone with a voice assistant and that too inbuilt in its software. So the real question here is, ‘What came into Steve Jobs that he came up with such an idea?’ Having a smartphone with a voice assistant was the need of the demography back then, not was it a perpetual issue. So what was it? I was the curiosity of a human being to explore the depth of present-day technology. As soon as the internet was invented, people witnessed that they could do so much with their capabilities and now with the internet at their disposal, they can achieve anything they want. This very motivation fueled up the idea of web development which gradually led us to create bionic equipment, humanoid robots, drones, and much more.

Artificial intelligence not only eased the process of web development but promoted breakthrough projects like Google Brain. Google Brain is a deep-learning artificial intelligence research team formed in the 2010s with the sole purpose of enhancing present-day technology and solving current technological setbacks. One of the most interesting projects of Google Brain was the Artificial-intelligence-devised encryption system. Under this project, Google Brain ran a couple of experiments that involved two sets of AIs who would devise their own cryptographic algorithms to protect their communications from another AI. The catch in this scenario was that they weren’t given specific instructions about the encryption of their messages. This breakthrough is yet to be confirmed but we can fathom the fact that artificial intelligence is shaping the future in a way that we can never imagine. And humans are Engaging with AI and Machine Learning frameworks now more than ever.

This shows our progressive nature and throws light on our dynamic thought process which makes us adaptive to the changing environment. If we take a closer look at it, both technology and humans are approaching the future together and that’s because of the curiosity we were born with.

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Digital Marketing

Outrun Your Competitors Using Impactful SEO Techniques

Mohit Chaudhary
July 30, 2020
8 min read
Outrun Your Competitors Using Impactful SEO Techniques

Let’s start things off by briefly discussing how the biggest search engine on the Internet will operate with your SEO tactics. Like any other search engine, Google wants to display the best results for a user’s query, and in case they showcase listings of irrelevant, low-grade results, the users might not employ them later. This […]

Let’s start things off by briefly discussing how the biggest search engine on the Internet will operate with your SEO tactics. Like any other search engine, Google wants to display the best results for a user’s query, and in case they showcase listings of irrelevant, low-grade results, the users might not employ them later. This is what really differentiates Google from the rest of the search engines – their AI-driven set of algorithms which ensures the users get exactly what they need. For a holistic approach to your website, try Marketing Agency in Chicago.

Digital Marketing agencies work in extremely competitive scenarios. New and budding agencies are mushrooming all over the Internet. As a business or brand owner, ensure to utilize not all the SEO services, but apply the right ones instead. For professional requirements, search for a Chicago SEO consultant. Let’s take a look at some simple but efficient SEO techniques that will give you the edge over your competitors –

  • Keep updating your website

If your site isn’t premium-grade enough, you’ll have a tedious task ranking for your target keywords.

Nobody today has the time and patience to visit a spammy webpage. So, no matter how attractive incentives you provide to lure in your users, make sure that once they visit your website, they’re beyond aesthetic by the experience you created for them. And even though Google hasn’t stated it officially, there is proof to indicate that the search engine magnate does reward websites that have low bounce rates with higher page ranking –

According to Google, if a user extends their time of visit more than intended on a page, it’s likely because they found the page useful. And as Google needs to provide the best possible results to its users, it will push sites with boosted engagement up in the search engine results pages (SERPs).

  • Voice Search Optimization 

In 2020, almost half of your users aren’t even typing in their queries, but they’re voicing them! With voice-assisted devices or inbuilt voice apps on our phones, we can just say instead of type.

And if you feel this specific feature has nothing to do with how you frame your SEO Strategies, then you’re not completely right. Voice searchers have different patterns than text searchers, and the devices they’re using (whether that’s an Amazon Alexa, Siri, or Google Home) extract data from SERPs to replay information from the featured snippet box back as their response.

Let’s say, a text searcher can type “vegan diet.” A voice-based search, it can be longer, such as “What do vegans eat?”

It’s better to write a detailed, lengthy blog post that’s far better than anything else already ranking for those long-tail keywords. Make sure the content is simple for readability. And promote it well (building backlinks) and monitor the content from time to time. Employing structured data is an excellent manner to increase the likeliness of your data being read aloud to your target audience.

  • Emphasize Topic Clusters Rather than Keywords

Google is advancing – and so is its algorithm. Its target now is to comprehend the intent of its users: what are their expectations, what they’re seeking, and, more particularly, what search results can help offer close to or perfect search results for their queries. But don’t keep unrealistic expectations that your website will end up on the first page of Google just by creating keyword-centric content. That won’t be sufficient. You need to explore and identify the context around it.

And most importantly, keep in mind, the “user intent,” you should take into account what your users are searching for, instead of finding various methods in which the users can phrase a search query. Search Chicago Marketing Agency for user-driven results.

Here is what you must particularly focus on –

Define your Target Audience

The kind of content you’ll create will depend completely on your audience. The more details you’ll able to derive — their area, age, interests, etc. — the enhanced the content you’ll create (and eventually upgrade your SEO).

For instance, let’s say your keyword tool displays that “birthday” has a search volume of 4,8420,000 per month. This can provide you with much-needed exposure to the audience you want to aim for. People searching for it could fall into several categories:

  • Birthdays Cards for Loved ones, Friends, and Family
  • Birthday Cakes and Parties for Kids
  • Special Themed Birthday Dance Performances

Without identifying your target audience, you can end up creating content for all such topics. That will not help you gain the right kind of traction as you won’t be able to charm your audiences with such broadly defined pieces of content.

Although, by developing your purchaser’s personas with the common traits of your ideal consumers, you’ll be better able to connect on topics that are of actual concern to your readers, while also lowering the chances of creating content that doesn’t generate any results.

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Technology

Overview of Business Intelligence Tools and their Functions

Mohit Chaudhary
July 21, 2020
8 min read
Overview of Business Intelligence Tools and their Functions

The booming business market calls for smart decisions to keep in check the level of competition by making smart business decisions. Business Intelligence allows you to do the same. It is the process of gathering all the data that an organization garners from all its activities. After all the data is gathered, it is then […]

The booming business market calls for smart decisions to keep in check the level of competition by making smart business decisions. Business Intelligence allows you to do the same. It is the process of gathering all the data that an organization garners from all its activities. After all the data is gathered, it is then turned into visual data for better analysis and finally, this analysis provides the business with actionable business insights that eventually allow a representative with smarter business development decisions for better performance of the business altogether. ‘What is the need for business intelligence?’ one might ask, considering the conventional way of practicing business activities and exercising business decisions. Well, in this constantly changing environment where everything is going digitized, every organization be it an established player or a budding one, should buck up and accept the challenge of the current scenario. To perform BI activities every organization looks for professionals who’ve mastered the knowledge of Business Intelligence Tools and have faced the challenges in real-time by learning about how to tackle them. Let’s take a look at some of these tools so that we can understand what they are and why we need professionals in this particular field.

  • Tableau: It’s a BI tool that allows a professional to distinguish complex trend patterns so that they can convert them into innovative business insights that’ll help their clients to formulate adequate decisions. Creating dashboards in Tableau is not much of a technical approach as it is available on almost all devices to connect with more and more users. The dashboards can be implemented by simply using drag-and-drop fields.

Some of the features that make it distinguishable from others are:

  1. It supports apt visualization:

Tableau allows professionals to select data and switch between visualizations so that they can come up with the best visual approach for the data.

  1. Tableau gives users different ways to answer questions when they’re going through the data visualizations. This enhances the process of discovering particular data.
  2. Tableau offers a variety of implementing and consulting services for enterprise-level deployment.
  3. Tableau offers its end-users to create customized formulas that are not available on most of the tools.
  4. Tableau allows the number of native connectors (individuals) to easily pull, cleanse, and correlate data from any source they can score without having to create any custom code.
  • Informatica: Informatica is a data integration tool that is based on the Extract, Transform, and Load (ETL) model, which means it covers the extraction of data from different sources and then transforms it into a structure that can be used for report analysis.

Some of the features that make it a highly useful tool are:

  1. It gathers all the data from all the possible sources a business is associated with and then loads it into the targeted sources where the data is supposed to be.
  2. Informatica’s ETL structure helps it to stand as a tool that is capable of handling a huge amount of data.
  3. Along with handling a huge quantity of data, Informatica also provides services like data integration and software for a variety of industries like telecommunication, healthcare, finance, and insurance.
  4. Even though it has a high-performance nature, Informatica is a simple tool when it comes to developing, maintaining, and administering it.

These features make Informatica more beneficial than the conventional ETL process. 

  • Microsoft Business Intelligence (MSBI): Microsoft Business Intelligence is one of the top-rated business intelligence and data mining tools. Below are some features that make it distinguishable in the market.
  1. Microsoft Business Intelligence allows its user to create interactive dashboards and scoreboards so that the visual output is having more of a creative touch than a dry one.
  2. Microsoft Business Intelligence as a tool has a well-integrated structure that allows it to create outputs that are both snappy and exact.
  3. It promotes optimized solutions for business intelligence queries.
  4. Uses visual studio with structure query language or SQL servers. This in turn allows businesses to access the most accurate information so that they can come up with improved superior decisions every time they use it.

As a BI tool, Microsoft Business Intelligence is categorized into three services, namely:

  1. SQL Server Integrated Services (SSIS)

As an SSIS Microsoft business intelligence is a platform for creating high-end performances and workflow solutions.

2. SQL Server Analysis Services (SSAS)

As an SSAS Microsoft business intelligence is a platform for converting dimensional data into a multi-dimensional data model.

3. SQL Server Reporting Services (SSRS)

Finally, as an SSRS, Microsoft Business Intelligence acts as an enterprise reporting platform that supports both dimensional and multi-dimensional data. As of reporting, it supports both traditional and interactive data that are delivered over the web.

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Blockchain Technology’s Role in Recruitment- 2021

Mohit Chaudhary
July 16, 2020
8 min read
Blockchain Technology’s Role in Recruitment- 2021

Blockchain is an online distribution system that stores a huge amount of data. In other words, it’s a chain of blocks that contain information according to the business it’s implemented on. Blockchain was initially described as a structure with the intent to timestamp digital documents so that no one can backdate them. But soon as […]

Blockchain is an online distribution system that stores a huge amount of data. In other words, it’s a chain of blocks that contain information according to the business it’s implemented on. Blockchain was initially described as a structure with the intent to timestamp digital documents so that no one can backdate them. But soon as people got the hint of its potential Blockchain was adapted to create the digital cryptocurrency, bitcoin. ‘So what made Blockchain technology so popular among organizations?’ It can be stated that the data storing structure of blockchain led to its popularity but there are other determinants that contribute collectively towards its fame. Below are some pointers that discuss in detail exactly how and why Blockchain is used so rigorously.

How does its work system help the corporate sphere?

As we’ve discussed earlier, blockchain stores a large number of data, and that data depends on the type of blockchain. This showcases that it’s not confined to a certain type of business or activities and can be flexibly used in any type of organization. Talking about its work system, each block in the chain has a hash that is as unique as a fingerprint, and any change in the block in terms of malicious tampering or change in the stored data will lead to a change in the hash. Along with this, each block has another hash of the previous block. This ensures the security of the technology because if any tampering is done, it’ll get reflected on the following blocks. To ensure the security of the technology, blockchain has a mechanism called proof-of-work that slows down the creation of new blocks. This helps in reducing the chances of tampering with the blocks because if one block is tampered with, one has to change the proof-of-work of all the following blocks.

If a company is using Blockchain Technology for storing its potential employees’ data, this secured structure adds up to its benefit. As we all know IT firms are prone to external data breaches more than any other organization. Thus, the proof-of-work mechanism of this technology makes their sensitive data more secure than ever.

  • WHAT IS THE IMPORTANCE OF BLOCKCHAIN’S PEER-TO-PEER NETWORK?

As the question already suggested, blockchain technology uses a peer-to-peer network that allows anyone to join. Let’s say an organization has decided to implement blockchain technology for storing all the data regarding recruitment. The peer-to-peer network allows all the designated members to join. Each member that joins the networks gets a copy of the blockchain node so that they can verify that everything is still in order. This node creates a consensus where every member decides which blocks are valid and should be kept in the network. Therefore any block that has been tampered and is invalid, is rejected by the network. This well-built structure reduces the chances of any further tampering as one has to tamper with all the blocks, redo the proof-of-work and take control over fifty percent of the peer-to-peer network. This is something impossible to do, thus, making the use of Blockchain Technology in Recruitment a smart decision. It’s the security of blockchain technology that led to many companies turning to this for recruitment and other operations as well. Not only for recruitment purposes but blockchain technology can also be used for storing data about existing employees and other information like details about business activities.

These are some of the important features that showcase its importance in the recruitment process and make it a trending proposition altogether. On this note, it can be stated that among all the technologies, the blockchain has game-changing possibilities across other countries. The use of blockchain has gained so much popularity that a Forbes weblog stated that in coming years; blockchain would deeply impact HR’s responsibilities. Its ability to cut to the chase of utilizing data without any middleman could omit HR’s responsibility in the recruitment process. According to recent research by Forbes, it is said almost 60% of job seekers misstate themselves on their resumes. This misinterpretation on a seeker’s part gave rise to the rigorous use of blockchain technology, keeping in mind its data lock structure. With its amazing work system, blockchain allows the recruiting teams, snappy and accurate access to a potential employee’s entire employment history. The misrepresentation of data by a job seeker ad many other issues lie that led MIT’s Media Lab to come up with a program that uses blockchain technology to issue, display, and verify credential details.

On a concluding note, blockchain technology might be the future for recruitment in the corporate sphere but we should keep in mind that as a new technology, it might face difficulty in settling into the already established framework. But the perpetual development in technology will surely make it up to the mark.

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Top 15 Big Data Analytics Tools

Mohit Chaudhary
July 14, 2020
8 min read
Top 15 Big Data Analytics Tools

Big Data analytic tools have outgrown their conventional purpose and are satisfying a major portion of web development including spheres like Data mining, data analytics, and data visualization. The role of big data analytics in Web Development has become so prominent that its contribution helped all these spheres in using different tools according to their […]

Big Data analytic tools have outgrown their conventional purpose and are satisfying a major portion of web development including spheres like Data mining, data analytics, and data visualization. The role of big data analytics in Web Development has become so prominent that its contribution helped all these spheres in using different tools according to their needs.

Let’s take a look at some of these tools:

  • Apache Hadoop:

It’s a cumulative package of open-source software utilities that works using a library framework to proceed with the data processing. It works as a distributed data processing environment. Apache Hadoop is written in Java. Speaking of its popularity in the corporate sector, the list of companies using Apache Hadoop has big players like:

  1. Horton works
  2. Cloudera
  3. MAPR
  4. Microsoft
  5. IBM
  6. Intel
  • Mongo DB:

Mongo DB is a cross-platform, no SQL document database for reviewing the data using documents like JSON. It was developed in 2009 and is written in the languages C++, Go, Java, and Python. Mongo DB enjoys its fair share o fame among big conglomerates as the simplified database it is. Some of the companies that use Mongo DB are:

  1. Microsoft Axel
  2. Microsoft SQL Server
  3. My SQL
  4. Mongo DB (the company itself)
  • Rainstar:

It is a database management system that uses detection duplication techniques for organizing to process a huge amount of data for future reference. The snappy framework was the core benefit of its development. This software is written in Java and some of the companies that find Rainstar’s framework a befitting one are:

  1. Barclays
  2. Credit Suisse

Splunk Hunk: Splunk is a Software Company that developed Hunk as a tool that allows its users to access all the data in Hadoop clusters using vertical indices. For allowing its users to access and process the data, Hunk provides them with the use of Splunk’s search language. This language helps the users to report and access a large amount of data from Hadoop and SQL software.

BIG DATA TOOLS USED IN DATA MINING:

Some of the Best Big Data Analytic Tools used in Data Mining are:

  • Presto:

Presto is an open-source distributed SQL query system that is designed to run analytical queries regarding databases from various applications like Hadoop, AWS, Cassandra, and Kafka. The databases processed can range from gigabytes to petabytes. With its analytical approach towards all the queries, it makes sure that the data analytics is done on its basis work accurately throughout an organization. Written in Java, this tool is used by companies like:

  1. Facebook
  2. Repro
  3. Checkr
  4. Netflix
  5. Air BnB
  • Rapid miner:

It’s a tool that has a stern graphical interface that allows its end-users to create and deliver maintained analytical files. This helps in providing snappy workflows in development. It provides the users with scripting levels to support languages like Java and Python. This application is written in Java and has a client pallet consisting of companies like:

  1. Vivint Smarthome
  2. Boston Consultancy Group
  3. Infocus
  4. Slalom
  5. Dominos
  • Elasticsearch:

Elasticsearch is a high-performing search engine that is also capable of running a webpage with a proper HTTP search language. As an underlying Technology, it powers the applications that use complex search techniques and requirements to run. Using Elasticsearch is a smart proposition if yours is a company that uses such applications. Some of the companies, who use this software, are:

  1. Netflix
  2. Accenture
  3. Stack Overflow
  4. Medium
  5. LinkedIn

BIG DATA TOOLS IN DATA ANALYTICS

  • Apache Kafka:

It’s a distributed streaming system that has all the capabilities of an ideal streaming system, i.e., publish, subscribe and consume. This software is written in Java and there are many players in the market who make use of Kafka on a regular basis. Some of these companies are:

  1. Netflix
  2. Spotify
  3. Yahoo
  • Splunk:

Splunk is a software developed by a company of the same name. It’s the same company that developed the tool, Hunk. Splunk is used for searching, capturing, and indexing the big machine-generated big data analytics and representing them in web-friendly graphs, pies, and dashboards.  It’s used for app development, web analytics, security, and compliance. Some of the big firms using this software are:

  1. QRadar
  2. QLabs
  3. Spunk
  4. Trustwave
  • KNIME:

It is software that works on a selective approach toward the execution of mostly all analytical steps and further inspects the results and models using creative widgets. These results and models allow the user to visually create data flows. There are companies like

  1. Harnham
  2. Tyler Technologies

These companies use KNIME for data analysis and visual representation of all their data.

  • Apache Spark: It is a platform that has in-memory computing capabilities to deliver speed and generalize the computing software model so as to support a wide spectrum of applications written in languages, Java, Scala, and Python. It’s an online distribution system that provides access to data through the cluster and processes them parallelly.

Companies using Apache Spark are:

  1. Amazon
  2. Hortonworks
  3. Oracle
  4. Verizon Wireless
  5. Cisco
  • R Programming Language:

Is a software environment that is designed for statistical analysis of graphs of data. It consists of machine learning algorithms, line regression, and statistical inference to create statistical software in data analytics. Companies like Barclays, Bank of America, and American Express use R programming language for their data analytics needs.

  • Blockchain:

Blockchain is software originally developed with the intention to timestamp digital documents so that it’s not possible to backdate or tamper with them. It’s used for storing a large amount of data as it has a secure framework.

  • Tableau:

Tableau lets its user distinguish the complex digital patterns of the data and visually represents the data for the users. It’s written in Java, C++, Python, and C. Some of the companies that use Tableau are:

  1. Oracle Hyperion
  2. Cognos IT services
  3. Alik Q
  • Plotly:

Helps create the graphs in a more efficient way. Along with this it also provides scientific graphic libraries for Python, R, MATLAB, Julia, Ardenio, and REST. Written in JavaScript it serves companies like:

  1. Paladins
  2. Bit Bank.

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