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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Technology

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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