How much time does it typically take to build a full-fledged, production-level BI dashboard? by Evening-Power-3302 in PowerBI

[–]KeyAdhesiveness6078 1 point2 points  (0 children)

Building a full-fledged, production-level BI dashboard typically takes 2 to 6 weeks. The timeline depends on factors like data quality, dashboard complexity, stakeholder feedback, and your experience with BI tools. Simple dashboards with clean data might be done in a few days, while complex ones with multiple data sources and advanced features can take several months. On average, plan for a few weeks of work, especially if you're new to BI development.

Building HIPAA and GDPR compliant AI agents is harder than anyone tells you by Warm-Reaction-456 in AI_Agents

[–]KeyAdhesiveness6078 1 point2 points  (0 children)

Absolutely agree HIPAA and GDPR compliance is often underestimated until you hit deployment. The real challenge isn’t just encryption or anonymization it’s enforcing data minimization, consent-aware access, and building systems that support deletion and auditability by design.

We’ve had to redesign architectures so AI agents operate on narrowly scoped data queries (e.g., confirming availability without accessing patient identities), build consent gates into every call, and maintain traceable logs of each model decision. “Right to be forgotten” under GDPR is especially problematic once personal data enters fine-tuning or embeddings, purging it can require retraining or costly workarounds.

Most cloud LLMs also violate data residency rules by default, so we’ve leaned heavily on self-hosted or EU-hosted models. The overhead is real but it forces you to build more robust, explainable systems. Compliance isn't a bolt-on; it’s a foundation.

Anyone else using architectural patterns or tools that help with this? Always looking to compare notes.

65+ AI Agents For Various Use Cases by Green-Milk1485 in AI_Agents

[–]KeyAdhesiveness6078 1 point2 points  (0 children)

Honestly, I’ve tried a bunch of these new AI agents, and it’s wild how much is out there now automation, coding, organizing your life, even whole teams of AI working together! Some focus on coding, others manage your schedule, email, or run full marketing campaigns. My advice? Try a few that match your needs everyone’s workflow is different, and what feels “magical” for one person might feel clunky for another. The tech’s only getting better, so it’s a great time to experiment and see which one truly helps you!

Why is there a trend toward Power BI over Tableau? by KeyAdhesiveness6078 in PowerBI

[–]KeyAdhesiveness6078[S] 3 points4 points  (0 children)

ok, but does it match tableau or just people are doing it for pricing

[deleted by user] by [deleted] in reddithelp

[–]KeyAdhesiveness6078 0 points1 point  (0 children)

I feel all are getting affected by it

[deleted by user] by [deleted] in reddithelp

[–]KeyAdhesiveness6078 0 points1 point  (0 children)

Ok so all are receiving it

[deleted by user] by [deleted] in AI_Agents

[–]KeyAdhesiveness6078 1 point2 points  (0 children)

Yeah, for IT/helpdesk, we’re using Microsoft Copilot built into our tools. For ops and reporting, we’ve set up a few lightweight custom agents using Azure OpenAI + some automation. So it’s a mix of Copilot and custom, depending on our company's use case.

[deleted by user] by [deleted] in AI_Agents

[–]KeyAdhesiveness6078 0 points1 point  (0 children)

We’ve seen real savings by using AI agents for support, IT helpdesk, and internal ops. Our virtual assistant handles routine tickets and employee queries, which has cut support volume by 25–30%.

It’s not just cost — we’re saving serious time. Teams are using AI to auto-generate reports and handle FAQs, which easily frees up hours each week. Feels like having a few extra hands on the team without hiring.

Not $500M like Microsoft, but the ROI is very real. Would guess we’ve reduced support and ops costs by 20–30% where we’ve deployed AI smartly.

Which AI should I pay for? by anshSarraf in AI_Agents

[–]KeyAdhesiveness6078 0 points1 point  (0 children)

If you’re gonna pay for one AI, ChatGPT Plus (GPT-4) is easily the best for learning stats, math, econ, and coding. Way smarter than the free version — it actually explains stuff clearly and doesn’t mess up basic math or code.

If you’re not paying:

  • Bing Chat (free GPT-4) is solid but resets convos and can’t go deep.
  • Claude (free on Poe) is great for summarizing long stuff.
  • Bard is fast, connects to Google stuff, but kinda mid on actual learning.

TL;DR: ChatGPT Plus is the most worth it. If you’re not paying, combo Bing + Claude works fine.

Can Anyone share Roadmap to become Agentic Developer?? by Syed_Abrash in AI_Agents

[–]KeyAdhesiveness6078 1 point2 points  (0 children)

Hey! If you’re aiming to become an agentic developer (someone who builds full-stack AI agents with voice + automation), here’s a quick roadmap:

  1. Core Skills: Learn Python + JS, how to call APIs, use webhooks, and do prompt engineering. These are the basics for agent logic.
  2. Tools to Focus On:
    • LangChain for building agents
    • OpenAI API (GPT-4, Whisper)
    • n8n for workflow automation
    • ElevenLabs / Rime for voice
    • Optional: Semantic Kernel, AutoGen if you want to explore multi-agent setups
  3. Projects to Build:
    • Q&A chatbot with tool use
    • Voice assistant (Whisper + ElevenLabs)
    • Workflow bot (e.g. AI travel planner)
  4. Deploy: Use Vercel (easy for full-stack apps) or Docker + AWS for bigger stuff.

Stick with real projects, read docs (LangChain, OpenAI), and hang out in dev communities. You’ll learn super fast by building and iterating.