Daily_Tech

 Case Against "Hallucinating " Chat GPT App : A Vienna - based privacy group said  it would file a complaint against ChatGPT in Austria , claiming the "Hallucinating " flagship AI tool invents wrong answers,which creator OpenAI cannot correct . NOYB ( None of  Your Business") said there was no way to guarantee ChatGPT provided accurate information . "ChatGPT keeps hallucinating - and not even OpenAI can stop it," it said. The firm has openly acknowledged it cannot correct inaccurate information produced by its GenAI tool and has failed to explain where the data comes from and what ChatGPT stores about individuals,said the group . Such errors are unacceptable because EU law stipulates that personal data must be accurate ,NOYB said. Compiled By : Pushpendra Maurya Profession : Data  scientist 

 Tech gaints exceeded wall street estimates following latest quarterly results : Microsoft Corporation and Google owner Alphabet Inc sent a clear message to investors on Thursday : Our spending on Artificial Intelligence and cloud computing is paying off . The companies trounced Wall Street estimates with thier latest quarterly results ,lifted by a surge in cloud revenue - fueled in part by booming use of AI services .Alphabet shares surged as much as 12% , the  biggest gain since July 2015, to their highest level ever. The rally pushed Alphabet's valuation past $2 trillion . Microsoft rose as much as 3.5%. The tech titans have been locked in a fierce battle for dominance in the field of artificial intelligence , with microsoft joining forces with startup OpenAI to challenge Google's two- decade stranglehold on internet search. But Thursday's showed there's ample room for both companies to grow . Silicon Valley has hailed 2024 as the year that companies will begain to d

What is DSA? Data Structures: At its core, Data Structures refer to the organization and storage of data in a way that enables efficient access and modification. Think of it as the containers that hold and organize information within a computer. Data structures include arrays, linked lists, stacks, queues, trees, and graphs. Each structure has unique properties suited for specific scenarios, and the choice of data structure significantly impacts the efficiency of algorithms. Algorithms: Algorithms, on the other hand, are step-by-step procedures or formulas for solving problems and performing computations. In the context of DSA, algorithms are designed to manipulate the data stored in various structures. They are the rules or instructions that dictate how data should be processed to achieve a specific output or solve a particular problem. What is DSA in Computer Science? In computer science, DSA is the foundational block for solving computational problems and building efficient software

  The Impact of Artificial Intelligence on Employment: Replacing Jobs or Creating Opportunities? Artificial Intelligence (AI) has rapidly evolved, becoming an integral part of various industries, revolutionizing the way we live and work. However, the increasing integration of AI has sparked debates about its impact on employment. Is AI a threat, replacing jobs and leaving a trail of unemployment, or is it a catalyst for new opportunities, creating jobs we never imagined? The Job Replacement Narrative: Critics often argue that AI will lead to massive job displacement, especially in routine and repetitive tasks. Automation has already made its mark in industries like manufacturing, where robots have taken over assembly lines. Similarly, the rise of AI-powered chatbots and virtual assistants has impacted customer service roles. As AI continues to advance, it is expected to replace certain jobs that involve predictable, rule-based tasks. However, history tells us that technological advance

  Business Analysis in the Era of Artificial Intelligence and Machine Learning Over the years, the Business Analyst (BA) role has evolved significantly. Traditionally – and still, today – BAs are known as the interpreters of data, the elicitors of requirements, and the changemakers that help organizations make informed decisions.  However, with the advent of Artificial Intelligence (AI) and Machine Learning (ML), the landscape of business analysis has been transformed. BAs now have tools that are more powerful than ever before at their disposal to help us augment our traditional methods and techniques, automate repetitive tasks, and minimize human error.  In this article, we will explore the impact of AI and ML on business analysis, dive into the ethical implications of these rapidly advancing technologies, and consider the future implications of this evolving relationship between AI, ML, and business analysis. Augmenting Traditional Methods  One of the most significant advantages of i

What is Data Science? Data Science is the field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data . It combines various disciplines such as statistics, machine learning, data analysis, and visualization to uncover hidden patterns, trends, and correlations in data. Data science plays a crucial role in decision-making, forecasting, and problem-solving across industries, driving innovation and enabling organizations to make data-driven decisions. . So briefly it can be said that Data Science involves: Statistics, computer science, mathematics Data cleaning and formatting Data visualization Why Data Science? So before jumping into the complete Roadmap of Data Science, one should have a clear goal in their mind about why they want to learn Data Science. Is it for the phrase “ The Sexiest Job of the 21st Century “? Is it for your college academic projects? or is it for your long-term career? or do

  What are five  types of Statistical Analysis : Descriptive  Analysis Inferential Analysis EDA (Exploratory Data Analysis ) Predictive Analysis Prescriptive Analysis Descriptive Analysis : This type of analysis focuses on summarizing and describing data.It provides an ovrview of data through measures like mean,median,mode,variance and standard deviation. Inferential Analysis : It involves making predictions or drawing conclusions about a population based on a sample of the data about broader trends. EDA (Exploratory Data Analysis ) : Exploratory Data Analysis is an approach to analyze data sets. It is used to discover patterns ,identify,outliers and gain insights int the data before performing formal statistical tests. Predictive Analysis : Predictive analysis aims to forecast future outcomes or trends based on historical data.It involves the use of various modelin techniques, to make predictions & recommendations. Prescriptive Analysis : prescriptive analysis predicts future outc

 Japanese AI Tool Predicts When Recruits Will Quit Jobs:   Bosses  worried about turnover or wondering how long a new hire will stick around can now turn to AI for a heads -up on who might be next out the door . The Artificial Intelligence tool was developed by japanese researchers to try and help managers provide targeted support to staff to stop them from quitting . It crunches data on employees at a company ,from their attendance record to personal information such as age and gender ,and was created by Tokyo City University professor naruhiko Shiratori with a startup based in the japanese capital. The tool also analyses data on employees who left the company ,or took a leave of absence ,to create a turnover model for each firm. "We are currently testing the AI tool with several companies ,creating a model for each one."   Bosses could use the results to "Suggest to the high -risk employee - without showing a raw figure ,which could be shocking to him or her - that the

  Data Science Scope in India (2024) Data science is an emerging field in India with huge potential and opportunities for growth. As more companies make decisions on data, the demand for data scientists will increase exponentially in the coming years. This blog discusses the scope of data science in various industries, required skills, job roles, salary trends, and future prospects in India. In 2017, the Economist made headlines stating, “The world’s most valuable resource is no longer oil, but data.” Now, this analogy may seem to be a little odd in the first place, but if we dive deeper, just like oil was a valuable asset for organizations years ago, it has now been replaced by data. As the business world inches closer to digitalization, data has become more important than ever. Scope of Data Science in India With data being termed as the future oil for organizations, analytics have become an engine that drives it to arrive at meaningful insights. The powerful combination of both is w