#Data Quality Training

[inventmodel]

Informatica Cloud Data Quality (CDQ) Training – Real Reviews, Job-Ready Skills, and Certification Support

Master Informatica CDQ with real-world use cases, verified learner feedback, and practical projects. Learn data cleansing, profiling, and governance with expert guidance.

Course Description: Looking to build a future-proof career in Cloud Data Management? Our Informatica Cloud Data Quality (CDQ) Training is designed to deliver practical knowledge, hands-on experience, and career-changing results.

💬 "I switched from a non-technical background and cracked my first cloud data quality role—thanks to this course!" – Kiran S., Delhi

💬 "The trainer was industry-experienced and gave real examples from live projects. The resume help and mock interviews were a bonus." – Shweta R., Bangalore

✅ What You Will Learn:

🔹 Data Profiling, Cleansing, Matching, and Standardization

🔹 Full Informatica IDQ + CDQ Coverage

🔹 Live Projects & Hands-on Practice

🔹 Concepts aligned with Cloud Data Governance

🔹 Resume Building + Interview Prep Support

🔹 Suitable for Beginners & Career Changers

Whether you're new to IT or looking to upskill, this course empowers you with in-demand skills and real-world tools used by top organizations.

🎯 Many of our learners now work as Informatica Developers, Data Quality Analysts, and Cloud Data Engineers across MNCs and startups.

👉 Enroll Now to Start Your Informatica CDQ Journey

[garymdm]

Top 10 Data Quality Challenges in Africa

In an increasingly data-driven world, businesses across the globe are grappling with data quality challenges that can impact their decision-making and overall performance. Often, the true extent of data quality issues only surfaces when it’s too late to rectify them. A glaring example is the catastrophic collapse of African Bank, partly attributed to poor credit risk management stemming from…

[autogeneity]

idk where's the post where I was like "assigned incomprehensible cryptid at therapy session" but I think the fact that a not-extraordinarily-sophisticated bot can easily not only comprehend what I'm saying but even extrapolate from it, just hands-down shows I'm not actually all that strange and it was simply a skill issue on the part of the therapists

[notnulli]

doing research

[ensign-rx]

The ALCOA+ Data Integrity principles in this work training I did today just sounded like words describing Lieutenant Commander Data

[bmpmp3]

i am pretty excited for the miku nt update early access tomorrow. the demonstrations have sounded pretty solid so far and tbh i am super intrigued by the idea of hybrid concatenative+ai vocal synthesis, i wanna see what people doooo with it. show me it nowwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww

[trekwiz]

I watched a training on career development; the premise was that project managers should treat their career like a project. And one really stupid comment stuck with me: "salary should not be in your goals. That's like choosing your software before knowing the project requirements."

It was ironic, because one of his goals was "work-life balance at a remote workplace." ��

It was a lot of fluff about making lists of what you like to do at work and what you don't, and that somehow translates to finding your dream job. He discouraged using luck-based strategies, in favor of...a luck based strategy of mentoring people who will hopefully inspire you. 🙃

And I'm just like. "Ok, project manager. You haven't accounted for your assumptions."

But also. Knowing your budget is important to being a project manager. There's a minimum budget needed to succeed. If you're not planning that out early, you didn't really plan your project.

And I'm sitting there thinking that next, for me, isn't a reassessment of the tasks I perform. I like the tasks well enough. Next is getting a $50k-70k wage increase, to be in line with the industry average for people with my skills, performing my tasks, at my level of experience in this region. It's a 32 hour work week. And more paid time off.

I don't care if I get a fancy new title. I don't care if it's a more prestigious company. I don't care if there are more interesting challenges. I've grown my skills. It's past time to grow my lifestyle. And that's not going to happen from a like and dislike list, and mentoring people.

[wallabywannabe]

My sister was reviewing survey responses at work and was disappointed that some of the responses (from elementary school teachers, mind you!) were clearly ChatGPT. She could tell because they referenced a lot of animals they didn't have at the zoo at the time the kids visited.

But what really worries me is that my sister was surprised that ChatGPT got it so wrong. Because that information is on the internet, and it just pulls info from the internet, right?

My sister is an intelligent person and I rant to her about AI all the time, so if she has this misconception, I'm sure a lot of people do, which worries me.

ChatGPT and LLM do NOT just pull info from the internet. They do NOT take verbatim sentences from online sources. They're not trustworthy, but not because the source is the internet. They take WORDS, not complete sentences, from the internet and put them together. They look for the most common words that are put together and put them in an order that SOUNDS LIKE the rest of the internet. They look for patterns. ChatGPT finds a bunch of articles about Zoo Atlanta and pandas, so it adds pandas to its sentences when you prompt it about Zoo Atlanta animals. It does not notice that all the articles were about the pandas going back to China. It does not know how to read and understand context! It is literally just putting words together that sound good.

The hallucination problem is not a bug that can be worked out. This is the whole premise of how LLMs were designed to work. AI that is trained like this will all be worthless for accuracy. You cannot trust that AI overview on Google, nor can you trust ChatGPT to pull up correct information when you ask it. It's not trying to! That was never what it was designed to do!

[zenovelsworld]

Ensure GMP compliance in your Indore pharmaceutical operations with Zenovel's expert Computer System Validation (CSV) services. We help you validate your critical systems for data integrity and regulatory adherence.

[globosetechnologysolutions1]

Unlock the potential of your AI models with accurate video transcription services. From precise annotations to seamless data preparation, transcription is essential for scalable AI training.

[codedusoftware]

How Custom Software Development Transforms Modern Businesses: Insights from CodEduIn an era dominated by rapid technological advancements, businesses are under immense pressure to stay competitive, efficient, and customer-focused. Off-the-shelf software, while useful, often falls short in addressing the unique challenges and dynamic needs of individual businesses. This is where custom software development steps in—a solution tailored specifically to meet the requirements of a business.

CodEdu Software Technologies, based in Cochin, Kerala, specializes in creating innovative, customer-centric software solutions that empower businesses to streamline operations, improve productivity, and enhance customer experiences. In this blog, we’ll explore how custom software development is transforming modern businesses and why partnering with CodEdu can be a game-changer.

What Is Custom Software Development? Custom software development involves designing, developing, and deploying software solutions tailored to meet a business's specific requirements. Unlike generic, off-the-shelf software, custom solutions are built from the ground up to align with a company’s processes, goals, and challenges.

This personalized approach allows businesses to create tools that integrate seamlessly with their existing operations, enhancing efficiency and providing a competitive edge.

The Key Benefits of Custom Software Development

Tailored to Specific Business Needs Custom software is designed to address a company’s unique requirements. Whether it’s automating a workflow, integrating with other tools, or solving specific challenges, the solution is built to fit seamlessly into the business ecosystem.

For example, an e-commerce business may require a software system that combines inventory management, personalized customer recommendations, and a secure payment gateway. Off-the-shelf software may provide one or two of these features but rarely all in an integrated manner.

Enhanced Efficiency and Productivity Custom software eliminates redundancies and streamlines operations. By automating repetitive tasks and integrating seamlessly with existing tools, businesses can significantly reduce manual effort and focus on core activities.

CodEdu has worked with several businesses to create custom solutions that enhance efficiency. One notable example is a manufacturing client who needed real-time tracking of production cycles. The tailored solution reduced delays and optimized resource allocation, saving the client both time and money.

Scalability for Future Growth One of the major limitations of off-the-shelf software is its inability to scale. As businesses grow and evolve, their software needs change. Custom software, on the other hand, is designed with scalability in mind.

CodEdu’s solutions are built to grow alongside businesses, allowing for easy updates and additional features as new challenges and opportunities arise.

Improved Security Data security is a top concern for businesses today. Custom software allows for the integration of advanced security features tailored to the specific vulnerabilities of the organization.

Unlike generic solutions that use standard security protocols, custom software incorporates unique safeguards, making it harder for malicious actors to breach the system.

Cost-Effectiveness in the Long Run While the initial investment for custom software may be higher than purchasing off-the-shelf solutions, it offers significant savings in the long run. Businesses avoid recurring licensing fees, third-party tool integration costs, and inefficiencies caused by mismatched software capabilities.

Real-World Applications of Custom Software Development Custom software development is revolutionizing industries by offering solutions that address specific operational challenges. Here are some examples of how businesses are leveraging tailored solutions:

E-Commerce Industry E-commerce companies face unique challenges, such as managing large inventories, providing personalized customer experiences, and ensuring secure transactions. Custom software can integrate inventory management systems, CRM tools, and AI-driven recommendation engines into a single platform, streamlining operations and boosting sales.

Healthcare Sector The healthcare industry requires solutions that ensure patient confidentiality, streamline appointment scheduling, and manage medical records efficiently. Custom software allows healthcare providers to deliver telemedicine services, maintain compliance with industry regulations, and improve patient outcomes.

Education and Training Educational institutions and training academies are leveraging custom Learning Management Systems (LMS) to provide personalized learning experiences. CodEdu has developed platforms that enable online assessments, real-time feedback, and interactive learning tools for students.

Logistics and Supply Chain Logistics companies require software that provides real-time tracking, route optimization, and automated billing. CodEdu has partnered with logistics providers to build solutions that reduce operational costs and enhance customer satisfaction.

How CodEdu Approaches Custom Software Development At CodEdu Software Technologies, we believe in a collaborative, customer-centric approach to software development. Here’s how we ensure the delivery of high-quality solutions:

Understanding Business Needs Our process begins with a detailed consultation to understand the client’s goals, pain points, and operational workflows. This ensures that the solution aligns perfectly with the business’s requirements.

Agile Development Methodology We adopt an agile approach to development, breaking the project into smaller, manageable phases. This allows for flexibility, regular feedback, and timely delivery of the final product.

Cutting-Edge Technology Our team leverages the latest technologies, including AI, machine learning, cloud computing, and blockchain, to deliver innovative and robust solutions.

Ongoing Support and Maintenance Software development doesn’t end with deployment. We provide ongoing support and updates to ensure the solution remains effective as the business evolves.

Future Trends in Custom Software Development The world of custom software development is continuously evolving. Here are some trends that are shaping the future:

AI and Machine Learning Integration Artificial Intelligence (AI) and machine learning are enabling businesses to automate processes, predict trends, and provide personalized customer experiences. From chatbots to predictive analytics, these technologies are transforming industries.

Cloud-Based Solutions Cloud computing is revolutionizing software development by offering scalability, accessibility, and cost efficiency. Businesses are increasingly adopting cloud-based custom software to enable remote access and collaboration.

IoT-Driven Solutions The Internet of Things (IoT) is creating opportunities for custom software that connects devices and collects data in real-time. This is particularly beneficial in industries such as healthcare, logistics, and manufacturing.

Low-Code and No-Code Platforms Low-code and no-code platforms are simplifying the development process, allowing businesses to create custom software with minimal technical expertise. While not a replacement for traditional development, these platforms are enabling faster prototyping and iteration.

Why Choose CodEdu for Custom Software Development? CodEdu Software Technologies stands out as a trusted partner for custom software development. Here’s why:

Experienced Team: Our developers bring years of experience in crafting innovative solutions for diverse industries. Customer-Centric Approach: We prioritize your business goals, ensuring the software delivers real value. Proven Track Record: With a portfolio of successful projects, CodEdu has earned a reputation for delivering quality and reliability. End-to-End Services: From consultation to development and post-deployment support, we handle every aspect of the project. Conclusion Custom software development is no longer an option but a necessity for businesses aiming to stay competitive in today’s digital landscape. It empowers organizations to streamline operations, enhance security, and deliver exceptional customer experiences.

CodEdu Software Technologies, with its expertise in innovation and customer-centric solutions, is the ideal partner to help businesses harness the power of custom software. Whether you’re a startup looking to establish a strong foundation or an established enterprise aiming to optimize operations, our tailored solutions can drive your success.

Ready to transform your business? Contact CodEdu Software Technologies today and let’s build the future together.

[orcelito]

In my data governance class today we were filling out a page on data quality. We've been doing the in class activities over some data types relevant to hospitals (relevant for this anecdote). Today's thing was taking these data types and answering questions about how we would check for validity & what we would do to correct inaccuracies and whatever

And me & my partner (I've been working with him on the in class assignments, mostly bc we sit next to each other) got to that Corrective Action question for if the data was consistently wrong & we joked that we would beat up the doctor.

And I just. Am still laughing when I remember the phrase. "Beat Up The Doctor." It's so stupid. Funny though.

[apexcovantage]

Generative AI | High-Quality Human Expert Labeling | Apex Data Sciences

Apex Data Sciences combines cutting-edge generative AI with RLHF for superior data labeling solutions. Get high-quality labeled data for your AI projects.

[habiledata]

Human vs. Automated Data Labeling: How to Choose the Right Approach

Today, technology is evolving rapidly, making it crucial to choose the right data labeling approach for training AI datasets.

In our article, we have discussed human vs. automated data labeling and how to select the best approach for your AI models. We have also explored the benefits and limitations of both methods, providing you with a clear understanding of which one to choose.

[ohnoitstbskyen]

You’ve probably been asked this before, but do you have a specific view on ai-generated art. I’m doing a school project on artificial intelligence and if it’s okay, i would like to cite you

I mean, you're welcome to cite me if you like. I recently wrote a post under a reblog about AI, and I did a video about it a while back, before the full scale of AI hype had really started rolling over the Internet - I don't 100% agree with all my arguments from that video anymore, but you can cite it if you please.

In short, I think generative AI art

Is art, real art, and it's silly to argue otherwise, the question is what KIND of art it is and what that art DOES in the world. Generally, it is boring and bland art which makes the world a more stressful, unpleasant and miserable place to be.

AI generated art is structurally and inherently limited by its nature. It is by necessity averages generated from data-sets, and so it inherits EVERY bias of its training data and EVERY bias of its training data validators and creators. It naturally tends towards the lowest common denominator in all areas, and it is structurally biased towards reinforcing and reaffirming the status quo of everything it is turned to.

It tends to be all surface, no substance. As in, it carries the superficial aesthetic of very high-quality rendering, but only insofar as it reproduces whatever signifiers of "quality" are most prized in its weighted training data. It cannot understand the structures and principles of what it is creating. Ask it for a horse and it does not know what a "horse" is, all it knows is what parts of it training data are tagged as "horse" and which general data patterns are likely to lead an observer to identify its output also as "horse." People sometimes describe this limitation as "a lack of soul" but it's perhaps more useful to think of it as a lack of comprehension.

Due to this lack of comprehension, AI art cannot communicate anything - or rather, the output tends to attempt to communicate everything, at random, all at once, and it's the visual equivalent of a kind of white noise. It lacks focus.

Human operators of AI generative tools can imbue communicative meaning into the outputs, and whip the models towards some sort of focus, because humans can do that with literally anything they turn their directed attention towards. Human beings can make art with paint spatters and bits of gum stuck under tennis shoes, of course a dedicated human putting tons of time into a process of trial and error can produce something meaningful with genAI tools.

The nature of genAI as a tool of creation is uniquely limited and uniquely constrained, a genAI tool can only ever output some mixture of whatever is in its training data (and what's in its training data is biased by the data that its creators valued enough to include), and it can only ever output that mixture according to the weights and biases of its programming and data set, which is fully within the control of whoever created the tool in the first place. Consequently, genAI is a tool whose full creative capacity is always, always, always going to be owned by corporations, the only entities with the resources and capacity to produce the most powerful models. And those models, thus, will always only create according to corporate interest. An individual human can use a pencil to draw whatever the hell they want, but an individual human can never use Midjourney to create anything except that which Midjourney allows them to create. GenAI art is thus limited not only by its mathematical tendency to bias the lowest common denominator, but also by an ideological bias inherited from whoever holds the leash on its creation. The necessary decision of which data gets included in a training set vs which data gets left out will, always and forever, impose de facto censorship on what a model is capable of expressing, and the power to make that decision is never in the hands of the artist attempting to use the tool.

tl;dr genAI art has a tendency to produce ideologically limited and intrinsically censored outputs, while defaulting to lowest common denominators that reproduce and reinforce status quos.

... on top of which its promulgation is an explicit plot by oligarchic industry to drive millions of people deeper into poverty and collapse wages in order to further concentrate wealth in the hands of the 0.01%. But that's just a bonus reason to dislike it.