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  Why Most of us Get Confuse With Data Quality Solutions and Bad Data?

How to fix this misunderstanding is what Big Data professionals will explain in this post. The C-level executives are using data collected by their BI and analytics initiatives to make strategic decisions to offer the company a competitive advantage. The case gets worse if the data is inaccurate or incorrect. It’s because the big data helps the company to make big bets, and it impacts the direction and future together. Bad Data can yield inappropriate results and losses. Some interesting ...

   BIGDATA     2018-02-21 06:01:35

  Data Scientists and Their Harder Skills than Big Data

The field of data science is often confused with that of big data. Data science is an aid to decision makers in a company with a logical approach.  Who is a Data Scientist?  A Data Scientist reviews a huge collection of data(that may extend to a couple of terabytes of disk space or thousands of excel sheets). This humongous chunk of data is not feasible for being handled, sorted and analyzed by a single person. Here we require the help of data science, and most recently, the field of A...

   BIG DATA     2017-12-13 04:22:55

  How Do You Find the Best Password Managers?

Looking for a smart way to protect your range of electronic devices? Most of us access tons of websites and it could be difficult to store our passwords. It is important to not reuse store passwords that are easily identifiable. Keeping your information secure is more important than ever. Data breaches can occur anytime and sometimes takes months to discover. Sometimes, maybe, they aren’t. Target is a data breach, for instance, took months to discover. Information was leaked online from ce...

       2017-05-11 06:33:55

  The Future of AI Chips Might Not Be GPU

In the layout of AI computing architectures, the model of CPUs working in collaboration with accelerator chips has become a typical AI deployment solution. CPUs act as providers of basic computing power, while accelerator chips are responsible for enhancing computational performance, aiding in the efficient execution of algorithms. Common AI accelerator chips can be categorized into three main types based on their technological paths: GPU, FPGA, and ASIC. In this competition, GPUs have emerged a...

   MICROSOFT,ARM,INTEL,NVIDIA,GPU,OPENAI,CUDA     2024-06-21 22:43:00

  Impact of AI on UI/UX design

The growth of computerization and Artificial Intelligence implanted into our regular daily existences in the course of recent years is only productive, we're no longer talk about fantasy since machines are going on at this very moment. This quick advancement has propelled a radically new age of designers to search for client-focused arrangements through the extent of these innovations. Along these lines, we need to investigate what this implies for UX plan in 2018 and what standards we should gr...

   UI,AI,UX     2018-11-28 07:05:26

  Kualitee: For better Test Management in the year 2020

New IT trends will dominate in 2020. Big data management, customer satisfaction, security concerns, mobile apps, artificial intelligence (AI), test automation, DevOps and agile methodologies are a few of these rising technologies and trends.  With their rise, Quality assurance (QA) has to take the testing game a notch up, especially with using smart test management tools for their testing.  Test Automation Stays A report by Research and Markets estimates the global automation testing ...

   TESTING,KUALITEE     2019-09-04 07:33:25

  Pros and cons of 6 most popular test automation frameworks

Not everyone dappling into systems for test automation knows how to leverage the maximum benefit and keep them going in top shape for a long time. That's where test automation frameworks come in – they're basically sets of rules, standards, protocols and guidelines which can be incorporated into practice or simply followed to provide beneficial execution environments for automation test scripts.   Why are test automation frameworks important?   Test automation frameworks offer m...

       2015-11-30 08:14:23

  Applying Large Language Models (LLMs) to Solve Cybersecurity Questions

In this document, we will introduce some test, experiment and analysis conclusion about applying Large Language Models (LLMs) to solve cybersecurity questions. Introduction Large Language Models (LLMs) are increasingly used in education and research for tasks such as analyzing program code error logs, help summarize papers and improving reports. In this project, we aim to evaluate the effectiveness of LLMs in solving cybersecurity-related questions, such as Capture The Flag (CTF) challenges, ...

       2024-09-08 04:05:07

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