Referred Link - https://www.linkedin.com/posts/sagarpandeysp_growth-activity-7410310016462778368-Rs4Q 

Most people use ChatGPT for answers.
Smart people use it for thinking.

That’s the difference between shallow research and work that actually stands out.

This visual breaks down 15 ChatGPT prompts that turn AI into a real research partner, not just a text generator.

Because good research isn’t about searching more.
It’s about asking better questions.

What this framework helps you do:

• Brainstorm stronger research topics
• Review literature faster (without missing gaps)
• Turn ideas into solid research questions
• Build timelines, hypotheses, and methods
• Validate sources and credibility
• Find gaps others overlook
• Predict trends before they go mainstream
• Connect ideas across disciplines
• Design experiments and ethics reviews
• Create summaries, quizzes, and research plans

Notice something important?

These aren’t “ChatGPT hacks”.

They’re thinking prompts.

The quality of your output will never exceed the quality of your prompts.

If you take ONE thing from this:

ChatGPT doesn’t replace researchers.
It amplifies the ones who think clearly.

Use it to structure thinking, not skip it. 

Tags:

#GenAI, #ChatGPT, #Productivity, 

 Referred Link - https://www.linkedin.com/posts/brijpandeyji_rag-is-no-longer-a-technique-its-a-whole-activity-7400390024598302721-YHZr

RAG is no longer a “technique.”

It’s a whole ecosystem — and a developer’s stack.

Over the past 18 months, Retrieval-Augmented Generation (RAG) has quietly evolved from a simple “search + LLM” pattern into a complete engineering discipline.

Today, building AI systems isn’t just about choosing a model.

It’s about architecting the entire pipeline — from extraction to embeddings, from vector databases to evaluation, from closed models to open-source innovators. 

Tags:

#ArtificialIntelligence, #AI, #RAG, #GenAI, 

Referred Link - https://www.linkedin.com/feed/update/urn:li:activity:7407459099518455808/ 

What is EBITDA, and what is your take on this metric?

→ EBITDA stands for:
• Earnings
• Before
• Interest
• Taxes
• Depreciation
• Amortization

It's a financial metric that shows how much money a company makes before taking into account non-operational expenses like interest and taxes and non-cash expenses like depreciation and amortization

→ Why is EBITDA important for Businesses?

EBITDA is important because it gives businesses an idea of how much money they're generating from their operations.

This is useful for investors and lenders who want to know how profitable a company is.

It’s like a scorecard to know how much money a company is making.


→ How is EBITDA calculated?

To calculate EBITDA, you need to start with a company's revenue and subtract its cost of goods sold.

Then, you subtract its operating expenses (like salaries and rent).

Another way to calculate it:

Net Income
+ Interest Expense
+ Taxes
+ Depreciation
+ Amortization

→ EBITDA vs. Net Income

EBITDA:
In EBITDA, you don’t take into consideration these expenses: Depreciation, Taxes, Interest.

Net Income:
But the net income is what remains as actual profit after depreciation, interest, taxes are taken in account. 

Tags:

#KidsSpecial, #TeachFinancetoKids, #Parenting  

Referred Link - https://www.linkedin.com/posts/rathanuday_agentic-ai-is-not-just-a-tech-upgrade-it-share-7395519699100303360-sks4

Agentic AI is not just a tech upgrade, it is transforming every major industry from the inside out.

If you understand where agents create impact, you can build solutions that companies will actually pay for.

Here are the industry-wise applications of Agentic AI you should know 👇

1. Real Estate
Automate lease creation, property search, document handling, and pricing predictions.

2. Technology & Software
Use agents for DevOps automation, QA/testing, documentation, and code review.

3. Healthcare
Enable triage agents, clinical decision support, medical documentation, and claim automation.

4. Finance & Banking
Automate KYC/AML, fraud detection, portfolio insights, and dynamic pricing.

5. Retail & E-Commerce
Power inventory automation, personalized shopping, and real-time pricing engines.

6. Manufacturing
Improve supply chain optimization, predictive maintenance, and quality inspection.

7. Education
Use tutoring agents, content creation, and automated student assessments.

8. Logistics & Transportation
Enhance fleet management, route optimization, shipment tracking, and customs workflows.

9. Customer Support
Handle ticket triage, multi-step resolutions, and automated conversation summaries.

10. HR & Recruitment
Automate resume screening, candidate ranking, onboarding flows, and policy checks.

11. Legal & Compliance
Deploy agents for contract analysis, risk alerts, and compliance monitoring.

12. Marketing & Advertising
Use agents for campaign creation, A/B testing, audience targeting, and scheduling.

Agentic AI is becoming the backbone of operations across every sector, and early adopters will dominate the next decade.

Tags:

 #AI #UseCases #AgenticAI

 Referred URL - https://community.spiceworks.com/t/m365-contacting-the-server-for-information-when-clicking-email/791658

Problem

Getting a ‘Contacting the server for information’ message when we clicks on emails.

Solution 

This can have 2 causes:

1. Outlook is having trouble downloading external images from the emails. You can solve this in the Trust Center:

Go to File Menu
Choose “Options”
Click on last menu “Trust Center” from left-hand side
Click on “Trust Center Settings” button
Check Off “Don’t download pictures automatically in HTML e-mail message or RSS items”

 2) Outlook is contacting ssl.gstatic.com, this sometimes happens when Gmail users send mail to Exchange mailboxes. Make sure this url is not blocked in your firewall. 

 Referred Link - https://www.linkedin.com/posts/howdangrashid_lowcode-powerplatform-copilot-share-7390283394837815296-3c-_

Low Code IS NOT DEAD. It's simply evolving.
Now let me explain how, so you don't let fear keep you behind in the Power Platform space.

After the Power Platform Community Conference in Las Vegas, I've had a lot of messages flood my inbox like:

“Is it still worth learning the Power Platform?”

“Is AI just going to build everything for us?”

"What skills should I learn now to prepare?"

And I get it.

With Microsoft pushing toward autonomous app and automation development, it does look like we’re heading for a “no-code” future.

But right now, and I believe for at least the next 5 years, Copilots will still need us.

They would need our direction and human touch that understands the technical processes behind what Copilots are 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 building in our Power Platform ecosystem.

We’re nowhere near the point where tools like the Plan Designer can create 𝙚𝙭𝙖𝙘𝙩𝙡𝙮 what we want.

They can speed things up (greatly), but they don't replace the technical expertise required to build great solutions with strong foundations.

So, Low Code isn’t dying, it’s just getting better (as it has been every year).

Just like copywriting didn’t die because of ChatGPT - it adapted.

AI can write a post, sure.

But it takes a copywriter who understands copywriting principles to differentiate good copy from bad copy and make it land.

If you missed it, I created a Cheat Sheet a few weeks back containing the skills which are future-proof in the Power Platform space, in my opinion.

There are certainly some skills worth learning more than others, and they are included in the sheet below.

I think these skills will be valuable in the next 5 years to come, at least.


#LowCode #PowerPlatform #Copilot #Automation #FutureOfWork #HumanInTheLoop #AIFuture #DigitalTransformation #Innovation #TechCommunity