#Ethical Data Management

[goodoldbandit]

Data Without Discipline: Shaping Trust and Growth Through Governance & Compliance.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in How clear rules and smart frameworks turn messy data into a strategic asset Strong data governance and compliance frameworks secure data quality, protect privacy and boost trust in a data-driven world. In a world brimming with data, managing it well is not a luxury but a must. Data governance and compliance are the twin…

[truetechreview]

Top 5 DeepSeek AI Features Powering Industry Innovation

Table of Contents1. The Problem: Why Legacy Tools Can’t Keep Up2. What Makes DeepSeek AI Unique?3. 5 Game-Changing DeepSeek AI Features (with Real Stories)3.1 Adaptive Learning Engine3.2 Real-Time Anomaly Detection3.3 Natural Language Reports3.4 Multi-Cloud Sync3.5 Ethical AI Auditor4. How These Features Solve Everyday Challenges5. Step-by-Step: Getting Started with DeepSeek AI6. FAQs: Your…

[abiabiabiabiabi]

I work in teams with people at work and we have a few leads in the team (consulting, project management, analysis and reporting, survey and reporting platforms) and nothing fucks me off more than when I'm trying to delegate a problem to the person responsible for solving it and in response they try to give me advice for how I can solve it.... no buddy this is your problem to solve. I've already done part of your job by defining the problem you've got to solve. you can use your own brain to make decisions I promise it's not that scary.

[hydralisk98]

Czarina-VM, study of Microsoft tech stack history. Preview 1

Write down study notes about the evolution of MS-DOS, QuickBASIC (from IBM Cassette BASIC to the last officially Microsoft QBasic or some early Visual Basic), "Batch" Command-Prompt, PowerShell, Windows editions pathing from "2.11 for 386" to Windows "ME" (upgraded from a "98 SE" build though) with Windows "3.11 for Workgroups" and the other 9X ones in-between, Xenix, Microsoft Bob with Great Greetings expansion, a personalized mockup Win8 TUI animated flex box panel board and other historical (or relatively historical, with a few ground-realism & critical takes along the way) Microsoft matters here and a couple development demos + big tech opinions about Microsoft too along that studious pathway.

( Also, don't forget to link down the interactive-use sessions with 86box, DOSbox X & VirtualBox/VMware as video when it is indeed ready )

Yay for the four large tags below, and farewell.

[mtariqniaz]

The Transformative Benefits of Artificial Intelligence

Title: The Transformative Benefits of Artificial Intelligence Artificial Intelligence (AI) has emerged as one of the most revolutionary technologies of the 21st century. It involves creating intelligent machines that can mimic human cognitive functions such as learning, reasoning, problem-solving, and decision-making. As AI continues to advance, its impact is felt across various industries and…

[catchexperts]

Web Scraping 101: Everything You Need to Know in 2025

🕸️ What Is Web Scraping? An Introduction

Web scraping—also referred to as web data extraction—is the process of collecting structured information from websites using automated scripts or tools. Initially driven by simple scripts, it has now evolved into a core component of modern data strategies for competitive research, price monitoring, SEO, market intelligence, and more.

If you’re wondering “What is the introduction of web scraping?” — it’s this: the ability to turn unstructured web content into organized datasets businesses can use to make smarter, faster decisions.

💡 What Is Web Scraping Used For?

Businesses and developers alike use web scraping to:

Monitor competitors’ pricing and SEO rankings

Extract leads from directories or online marketplaces

Track product listings, reviews, and inventory

Aggregate news, blogs, and social content for trend analysis

Fuel AI models with large datasets from the open web

Whether it’s web scraping using Python, browser-based tools, or cloud APIs, the use cases are growing fast across marketing, research, and automation.

🔍 Examples of Web Scraping in Action

What is an example of web scraping?

A real estate firm scrapes listing data (price, location, features) from property websites to build a market dashboard.

An eCommerce brand scrapes competitor prices daily to adjust its own pricing in real time.

A SaaS company uses BeautifulSoup in Python to extract product reviews and social proof for sentiment analysis.

For many, web scraping is the first step in automating decision-making and building data pipelines for BI platforms.

⚖️ Is Web Scraping Legal?

Yes—if done ethically and responsibly. While scraping public data is legal in many jurisdictions, scraping private, gated, or copyrighted content can lead to violations.

To stay compliant:

Respect robots.txt rules

Avoid scraping personal or sensitive data

Prefer API access where possible

Follow website terms of service

If you’re wondering “Is web scraping legal?”—the answer lies in how you scrape and what you scrape.

🧠 Web Scraping with Python: Tools & Libraries

What is web scraping in Python? Python is the most popular language for scraping because of its ease of use and strong ecosystem.

Popular Python libraries for web scraping include:

BeautifulSoup – simple and effective for HTML parsing

Requests – handles HTTP requests

Selenium – ideal for dynamic JavaScript-heavy pages

Scrapy – robust framework for large-scale scraping projects

Puppeteer (via Node.js) – for advanced browser emulation

These tools are often used in tutorials like “Web scraping using Python BeautifulSoup” or “Python web scraping library for beginners.”

⚙️ DIY vs. Managed Web Scraping

You can choose between:

DIY scraping: Full control, requires dev resources

Managed scraping: Outsourced to experts, ideal for scale or non-technical teams

Use managed scraping services for large-scale needs, or build Python-based scrapers for targeted projects using frameworks and libraries mentioned above.

🚧 Challenges in Web Scraping (and How to Overcome Them)

Modern websites often include:

JavaScript rendering

CAPTCHA protection

Rate limiting and dynamic loading

To solve this:

Use rotating proxies

Implement headless browsers like Selenium

Leverage AI-powered scraping for content variation and structure detection

Deploy scrapers on cloud platforms using containers (e.g., Docker + AWS)

🔐 Ethical and Legal Best Practices

Scraping must balance business innovation with user privacy and legal integrity. Ethical scraping includes:

Minimal server load

Clear attribution

Honoring opt-out mechanisms

This ensures long-term scalability and compliance for enterprise-grade web scraping systems.

🔮 The Future of Web Scraping

As demand for real-time analytics and AI training data grows, scraping is becoming:

Smarter (AI-enhanced)

Faster (real-time extraction)

Scalable (cloud-native deployments)

From developers using BeautifulSoup or Scrapy, to businesses leveraging API-fed dashboards, web scraping is central to turning online information into strategic insights.

📘 Summary: Web Scraping 101 in 2025

Web scraping in 2025 is the automated collection of website data, widely used for SEO monitoring, price tracking, lead generation, and competitive research. It relies on powerful tools like BeautifulSoup, Selenium, and Scrapy, especially within Python environments. While scraping publicly available data is generally legal, it's crucial to follow website terms of service and ethical guidelines to avoid compliance issues. Despite challenges like dynamic content and anti-scraping defenses, the use of AI and cloud-based infrastructure is making web scraping smarter, faster, and more scalable than ever—transforming it into a cornerstone of modern data strategies.

🔗 Want to Build or Scale Your AI-Powered Scraping Strategy?

Whether you're exploring AI-driven tools, training models on web data, or integrating smart automation into your data workflows—AI is transforming how web scraping works at scale.

👉 Find AI Agencies specialized in intelligent web scraping on Catch Experts,

📲 Stay connected for the latest in AI, data automation, and scraping innovation:

💼 LinkedIn

🐦 Twitter

📸 Instagram

👍 Facebook

▶️ YouTube

[jcmarchi]

How to Realize Value from a GenAI-Enabled Workforce

New Post has been published on https://thedigitalinsider.com/how-to-realize-value-from-a-genai-enabled-workforce/

How to Realize Value from a GenAI-Enabled Workforce

Thanks to OpenAI’s ChatGPT, pretty much everyone knows about GenAI today. Its ability to satisfy people’s thirst for knowledge with just a simple prompt sent it viral. This tool’s usage is truly impressive. It gained a million users in just five days and attracted more than 100 million visitors in its first few months. Individuals and organizations are integrating it into their daily lives and activities with great enthusiasm.

And yet – while GenAI is globally famous, few have moved far beyond experimentation. Organizations are excited by its potential but often struggle to adopt it at a scale that can ultimately create measurable value.

In my role, I’ve been fortunate enough to be able to witness how AI is evolving the way organizations operate and the value it can deliver to customers. Yet, businesses need a guide to turn potential into performance. With these challenges in mind, my team implemented a roll out experimentation with Microsoft’s 350 Copilot, to develop valuable insights and practical strategies for companies aiming to achieve successful adoption and meaningful ROI.

Our path to GenAI value

As we looked into adopting Copilot, our approach helped us identify where its capabilities could add value.

Our experience could be helpful for any organization looking to introduce GenAI into its workflows.

Here are some of the actions that helped us along the way:

Start with a structured adoption framework. For introducing GenAI capabilities, we began by identifying personas in our organization who might benefit from them, and then specific and highly targeted use cases for the technology. Finally, we have created personalized training plans for each role or persona that guide users carefully, so they know exactly how to make the most of the capability.

Use experimentation to validate the technology. For Copilot, we ran an exercise with three groups of users. Group A had no Copilot licenses, while for Group B, we simply gave these users access to the tool, with no training or guidance: it was up to them to work out what to do. Group C got our full adoption framework. The results? We saw a 31% boost in adoption in Group C compared to Group B. Moreover, Group C registered time savings of 2.5 hours per week versus 1.8 hours per week for Group B. The exercise also gave us baseline data, for example on how much time teams could save on specific tasks such as creating presentations. This was another strong example and argument confirming that our adoption framework was working.

Involve employees closely in the process. Exercises like our Copilot experiment help ensure that people engage more readily with new technology. We got people closely involved in selecting the use cases for Copilot, which makes it more relatable, driving adoption and ultimately improving ROI. This process creates evangelists, too. Because our Group C cohort could clearly see the technology’s value for them, they championed it across the company and especially with their teams, encouraging further adoption.

Create hyper-personalized and continuous training plans. We worked with project managers and process owners to make sure that the Copilot use cases were relevant to their everyday tasks, such as producing presentations at very short notice. Armed with this understanding, we created highly tailored training that showed how technology could help them reach their goals. Also, we found that continuous training around creating prompts was very valuable in helping people get the best value out of GenAI. It is also fun and helps keep the community united. For example, we have created a group in which we are sharing useful prompts, and we also have regular short sharing sessions.

Leveraging partners. We tapped our partner to help us by coming in with specific use cases and training offers that helped build our skillsets. In a domain that changes as fast as GenAI, partnership and collaboration are essential to getting good outcomes.

Communicate proactively about employees’ concerns. Questions about ethical AI and whether it will steal people’s jobs are common. It’s therefore important to ensure that the adoption framework clearly defines ethical AI and the ethical use of AI. To ensure responsible and secure use of AI, we leveraged our Responsible AI framework. This framework provides clear guidelines for our employees, aligning with our company values and helping them use AI responsibly. And to allay concerns about GenAI’s impact on jobs, we focused on its ability to take over unpopular mundane and time-pressured tasks such as minute-taking, drafting communications, or sifting through a crowded email inbox. As their proficiency grew, we introduced more sophisticated techniques, including enhancing their ability to create advanced prompts that yield more precise and tailored outputs.

Time, innovation and training

Our experience with Copilot and other GenAI projects is that a structured pilot phase is key, and that people need time to learn the innovative technology. It is also necessary to have a framework for AI adoption and change management that is tailored to your team’s specific needs. Coupled with training and active engagement of users, this will motivate and clear up concerns about GenAI.

Once the technology embeds itself in the organization and spreads out, it becomes part of the culture and accelerates your path to realizing real value from GenAI.

[khushidubeyblog]

Ethics and Compliance in Business Analytics: Navigating Data Privacy for PGDM Students

[goodoldbandit]

Governance, Risk, and Compliance in the Age of AI.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how AI transforms Governance, Risk, and Compliance (GRC) into a leadership priority. Learn frameworks, risks, tools, and what leaders must do now. Navigating the Known Unknowns with Vision, Vigilance, and Value In the quiet corridors of boardrooms and the dynamic war rooms of digital transformation, one topic now…

[mkcecollege]

At M.Kumarasamy College of Engineering (MKCE), we emphasize the significance of engineering ethics in shaping responsible engineers. Engineering ethics guide decision-making, foster professionalism, and ensure societal welfare. Our curriculum integrates these principles, teaching students to consider the long-term impacts of their work. Students are trained in truthfulness, transparency, and ethical communication, while also prioritizing public safety and environmental sustainability. We focus on risk management and encourage innovation in sustainable technologies. Our programs also address contemporary challenges like artificial intelligence and cybersecurity, preparing students to tackle these with ethical responsibility. MKCE nurtures future engineers who lead with integrity and contribute to society’s well-being.

To know more : https://mkce.ac.in/blog/engineering-ethics-and-navigating-the-challenges-of-modern-technologies/

[2ribu]

Masa Depan AI dalam Keamanan Siber Bisnis

Perkembangan teknologi kecerdasan buatan (AI) telah membawa perubahan besar dalam berbagai sektor, termasuk keamanan siber. Dalam dunia bisnis yang semakin digital, ancaman keamanan siber menjadi salah satu tantangan terbesar. Serangan siber tidak hanya menyebabkan kerugian finansial tetapi juga merusak reputasi perusahaan. Di sinilah AI memainkan peran penting. Teknologi ini menawarkan solusi…

[hitechnectartrends]

How can organizations balance risk and reward when adopting Generative AI

Organizations can balance risk and reward when adopting Generative AI (GenAI) by implementing a strategic approach that emphasizes due diligence, ethical frameworks, and robust governance. Here are key strategies to achieve this balance:

[josephkravis]

My First Database Or Two

Before digital databases, there were manual, physical systems for data organization.

Oki dokie. Yes, this topic might seem a bit outdated, but it’s essential to revisit as we advance toward AI technologies capable of correlating vast amounts of data. As we move into this era, starting at the basics of organizing information with lists seems fitting. So, let’s go back to My First Database! Creating and Using Lists Lists are a foundational tool for organizing and prioritizing…

[projectchampionz]

POLICE INTELLIGENCE IN COUNTERTERRORISM EFFORTS: AN EVALUATION OF BEST PRACTICES

POLICE INTELLIGENCE IN COUNTERTERRORISM EFFORTS: AN EVALUATION OF BEST PRACTICES 1.1 Introduction Police intelligence plays a central role in counterterrorism efforts, enabling law enforcement agencies to identify, prevent, and respond to potential terrorist threats. Effective intelligence gathering, analysis, and sharing are critical for the success of counterterrorism operations, particularly…

[momlovesyoubest]

Last Day to Sign Up Free Webinar Break Though Barriers to Billing-

Sign Up For Free Barriers to Billing Webinar Last Day to Sign-Up  For Webinar Break Though Barriers of Billing FREE WEBINAR- Break Through Barriers to Billing & Profit: Financial Management for GCM &Aging Life Care Managers     THIS WEBINAR BEGINS: Tuesday, October 8, 2024 2 PM PST Starts  Ends 3:15 PM PST – Sign Up    If you want to start an aging life or a geriatric care management business,…