AI Insights: Edition 02

Introduction

Hello everyone,

Patodia Infotech Pvt Ltd welcomes you to the second edition of our newsletter “AI Insights.”

AI Insights is a weekly newsletter where we will be giving updates about the recent advances in AI Industry, we will be exploring one of our services and explain to our community the power of our tool and last but not the least, we will be giving an opportunity to our community to grow with AI by hosting events.

Visit our website: https://www.fastdevai.com?

Industry Updates

AI has become a buzz word these days. But what is AI and how does it impact the future?

Artificial Intelligence is a domain aimed at replicating human intelligence. However, the industry now is divided into two categories: One is Artificial General Intelligence which continues its pursuit to reach human level intelligence and the second one is the industrial application of AI where it is used to make our daily lives easier.

The biggest advancement in the AI domain has been the discovery of Deep Neural Networks. DNNs have a network of neurons with multiple hidden layers which work like the neurons in the brain and model complex non-linear relationships. DNN has by large been the most used industrial application of AI.

The key industries which have been impacted by AI are:

• Science and Engineering: AI has impacted everything in engineering starting from automating monotonous tasks to even scientific research at the Large Hadron Collider.
• Media Communication: AI has impacted social media, content writing and blogging by providing various tools for creating quality content, providing personalized recommendations etc.
• Education: AI allows students to learn better by providing personalized courses, learning plans etc.
• Transportation: AI industry has revolutionized automobile industry through the various self-driving and assistive driving mechanisms.
• Healthcare: AI has revolutionized the healthcare industry by providing various services like disease detection, personalized healthcare routines, intelligent assistance to doctors etc.
• Manufacturing and Supply Chain: AI powered smart manufacturing plants and warehouses have proven to be boon to this sector.

Although these are a few key domains which have been impacted by AI, AI will continue to impact our lives more and more. Every domain will eventually be impacted by AI.

Some of the future impacts of AI predicted to happen in next decade are:

• AI will revolutionize scientific research by enabling large scale data processing.
• AI will revolutionize the IT industry with its data processing capabilities.
• AI will enable personalized services to enhance everyone’s daily lives.
• AI will enable personalized medical diagnosis and treatment.
• AI will influence foreign policies and relationships.

So, what's happening in AI Industry this week?

• Microsoft is Reinventing search with a new AI-powered Microsoft Bing and Edge, copilot for the web. This involves Next-gen Open AI model, Microsoft Prometheus model, Applying AI to core search algorithm and a new user experience.
• Microsoft will soon be giving a demo of ChatGPT-like AI in PowerPoint, Outlook and Word.
• Google steps forward in the AI search engine battle through Google Bard.
• Opera enters the generative AI space with new features in browsers and content apps.

In short, AI is the future of humankind and will enable us reach unforeseen goals. The only way to live in the AI Era is to embrace AI and enhance ourselves using it.?

Focus of the Week

In this week’s newsletter, we will be focusing on one of our AI Code Gen services that is Data Analytics using Python.

Pandas is an extremely important Python library for Data Scientists, Data Analysts, Machine Learning Engineers, and others. It is widely used for diverse types of data analysis. It can read different type of files like CSV, Excel, Json, HTML, XML, HDF5, Parquet, Feather, Stata, SQL, Python Pickle, Google BigQuery etc. It can also write files in all the above formats.

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Features of AI Code Gen’s Data Analytics Service:

• It can generate python code using pandas library from plain English input.
• It can handle a variety of complexities of data manipulation on input files.

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Advantage of using AI Code Gen SQL:

• Python provides many functions to manipulate data and it is difficult to remember all the functions with various parameters. AI Code Gen saves lot of time for data analysts by allowing them to code in English.
• Developers need not know any syntax or coding.
• Overall, the efficiency of programmers improves by 3 to 5 times.

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So how do we use AI Code Gen’s Data Analytics feature?

The user interface is intuitive and straightforward.

1. To get started, the user needs to input the name of the file along with its extension and enter the names of the relevant columns.
2. Next, the user will provide a clear and concise description of the desired data manipulation in plain English text.
3. Once that is done, the user can simply click the "Generate" button.

With these simple steps, the user can effortlessly generate Python code for data analysis, all from a natural language description.

Here are some examples of pandas generated by our website.

Example 1:

Input Query:

file employee.csv, columns = [ID, Name, Gender, Department_ID, Country_ID, Salary, birth_date, join_date]

Display id, name, gender, salary and age of top 10 employees based on the highest salary. Compute age based on the current date.

Generated Code:

Example 2:

Input Query:

file employee.csv, columns = [ID, Name, Gender, Department_ID, Country_ID, Salary, birth_date, join_date]

file emp_department.csv, columns = [Department_ID, Department_Name]

Display id, name, department name and salary of employees who are getting highest salary in the department. Display in order of highest salary.

Generated Code:

Example 3:

Input Query:

file employee.csv, columns = [ID, Name, Gender, Department_ID, Country_ID, Salary, birth_date, join_date]

Compute join_age by subtracting join_date from today's date. Display id, name, gender, salary, birth date, join date of employees whose join_age >= 30 and are in top 10 employees as per Salary.

Generated Code:

Example 4:

Input Query:

file employee.csv, columns = [ID, Name, Gender, Department_ID, Country_ID, Salary, birth_date, join_date]

Compute country wise

(1) minimum Salary

(2) 20th percentile Salary

(3) median Salary

(4) average Salary

(5) 80th percentile Salary

(6) maximum Salary

(7) ratio of maximum Salary to minimum salary

Display all the above

Generated Code:

Example 5 (International Number System):

Input Query:

file employee.csv, columns = [ID, Name, Gender, Department_ID, Country_ID, Salary, birth_date, join_date]

Create category based on salary.?

Category 1 for salary between 0.25 million and 2 million.

Category 2 for salary between 2 million and 7.5 million.?

Category 3 for salary between 7.5 million and 20 million.?

Category 4 for salary between 20 million and 40 million and Category 5 for salary above 40 million.?

Display number of employees for each category, gender and category.?

Display Logarithmic of number of employees, then Category wise logarithmic number of employees and make it interactive.

Generated Code:

Example 6:

Input Query (Indian Number System):

file employee.csv, columns = [ID, Name, Gender, Department_ID, Country_ID, Salary, birth_date, join_date]

Create category based on salary.?

Category 1 for salary between 2.5 lakh and 20 lakh.

Category 2 for salary between 20 lakh and 75 lakh.?

Category 3 for salary between 75 lakh and 2 crore.?

Category 4 for salary between 2 crore and 4 crore and Category 5 for salary above 4 crore.?

Display number of employees for each category, gender and category.?

Display Logarithmic of number of employees, then Category wise logarithmic number of employees and make it interactive.

Generated Code:

Event of the Week

The event for our community this week is to utilize our AI Code Generation services to create something of your own, such as a webpage or data analytics model. We will showcase the top submissions on our social media and in the next edition of our newsletter.

To participate, please follow these steps:

1. Register on our website.
2. Start using our AI Code Generation services.
3. Share a preview of your project with us at [email protected].

We look forward to seeing your innovative creations!

About Us

Fast Dev AI is an AI-powered SaaS platform which offers personalized AI services to its users. We empower users to make themselves more productive and efficient using our tool.

We offer three categories of services namely:

1.?????AI Code Gen

AI Code Gen is an AI-powered tool which allows users to do the following:

• Generate Code from Natural Language Input in Python, JavaScript, Java, C, C++, C#, PHP, HTML, Go, Perl, Ruby, Typescript, Haskell, Kotlin, Scala, Swift, and Dart?languages.
• Data Analytics using Natural Language Input.
• Generate SQL Queries from Natural Language Input (With support of concatenating multiple tables)
• Generate Shell Commands from Natural Language Input.
• Get Explanation of Code in English.

AI Code Gen is our hero product which has been proven to accelerate efficiency and turn-around time of users by up to 5 times.

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2.?????AI Scholar

AI Scholar provides personalized AI-powered services to its users through the following features:

• Generate answer to your questions.
• Evaluate your answers.
• Generate Study Notes for any topic or from a document.
• Grammar Correction.
• Balancing Chemical Equations.
• Solve Mathematical Questions.
• Generate Story, Poem, Articles.
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AI Scholar has proven to reduce the search effort of students or corporates in finding answers to their questions. It helps students preparing for competitive exams study efficiently and has been validated by students of various domains.

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3.?????AI Writing Assistant

AI Writing Assistant improves daily writing experience of corporates, bloggers and content writers through the following services:

• Generate Emails
• Improve Text by Rewriting
• Generate Blogs/Articles.
• Generate Ads from Product Description

AI Writing Assistant has proven to ease the daily lives of our users specially for those who write blogs and articles.

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Summary

With the idea of empowering the world with AI, we bring to the software industry a new paradigm called “Code in English.”

In this week’s newsletter, we have given some key AI industry highlights, explained the power and use-cases of one of our AI Code Gen services: Data Analytics with Python.

If you would like to hear from us every week and keep yourself updated and upskilled, join our AI Community by subscribing to our newsletter and registering on our website to experience the future of AI with us at absolutely no cost.

Our website: https://www.fastdevai.com

To get regular updates about exciting offers, events and much more, follow us on our social media handles.

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