Data analysts collect, analyze, and report valuable insights found in data. The daily duties of data analysts include.👈

1.Collecting data from a variety of sources.

2.Preparing the data for analysis (i.e. cleaning the data).

3.Perfming an exploratory data survey.

4.Modeling and analyzing data.

Creating data visualizations and reports

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There is a lot of hype around this profession, but it’s hard to overestimate the role of data analysts in today’s data-driven organizations. With proper data analysis in place, a company can understand its customers better, improve the targeting of marketing campaigns, organize better logistics, improve HR management, prevent fraud,and much more

To put it in another words, Data Analyst is the one who turns this raw data into information in order to draw out meaningful, actionable insights. These insights are then used to help businesses make smart decisions. And these insights are then used by the companies in many ways ranging from forming marketing strategies to making improvements in the production process.

GitHub Copilot is evolving to bring chat and voice interfaces, support pull requests, answer questions on docs, and adopt OpenAI’s GPT-4 for a more personalized developer experience.

GitHub Copilot started a new age of software development as an AI pair programmer that keeps developers in the flow by auto-completing comments and code. And less than two years since its launch, GitHub Copilot is already writing 46% of code and helps developers code up to 55% faster

GitHub Copilot Chat is not just a chat window. It recognizes what code a developer has typed, what error messages are shown, and it’s deeply embedded into the IDE. A developer can get in-depth analysis and explanations of what code blocks are intended to do, generate unit tests, and even get proposed fixes to bugs.

GitHub Copilot Chat builds upon the work that OpenAI and Microsoft have done with ChatGPT and the new Bing. It will also join our voice-to-code AI technology extension we previously demoed, which we’re now calling GitHub Copilot Voice, where developers can verbally give natural language prompts.____________👌👌👌👌

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Whenever artificial intelligence appears in a science fiction movie, it usually works out pretty badly, with all sorts of nasty consequences.

But experts say in the real world, there is a way of creating what they call responsible artificial intelligence. 

The CSIRO has set up a new online platform, to give companies some guidance on how to responsibly create and use artificial intelligence.

OpenAI spent six months making GPT-4 safer and more aligned. The company claims that it's 82% less likely to respond to requests for inappropriate or otherwise disallowed content, 29% more likely to respond in accordance with OpenAI's policies to sensitive requests, and 40% more likely to produce factual responses as compared to GPT-3.5.

It's not perfect, and you can still expect it to "hallucinate" from time to time and can be wrong in its predictions. Sure, GPT-4 has better perceptions and prediction power, but you still shouldn't blindly trust the AI.

Text2SQL.AI uses theOpenAI GPT-3 Codexmodel which can translate English prompts to SQL queries, and SQL queries to English text. It is currently the most advanced Natural Language Processing tool available, and this is the exact same model which used by Github Copilot.

SQL generation from English textual instructions. Supports SELECT, UPDATE, DELETE queries, CREATE and ALTER TABLE requests, constraints, window functions, and literally everything!
SQL query explanation to plain English
Your custom database schema (tables, fields, types) connection (with history)
SQL dialects for MySQL, PostgreSQL, Snowflake, BigQuery, MS SQL Server...

If you have any other feature request, please let us know!

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20 Jobs that GPT-4 will replace, written by GPT-4 👈