This concise design article covers the 'i'm a better designer' checklist. A checklist for self-taught designers to be better at their job in the product design space.

I’m a designer by practice. I never went to a design school. But ever since I joined Skcript, I have been carefully curating some of the best principles that a designer can follow to be better at their job. Thanks to their company culture.

As Steve Jobs once said,

> Design is not just what it looks like and feels like. Design is how it works.

I’ve been having this quote as my mantra and I’ve been trying to use this philosophy as much as possible in the product we shape together at Skcript.

## My design psychology checklist

1. Look at something and wonder why it was made that way. Everything that’s around you has a reason. Know what that reason is.
2. Design is more than just colors, and pixels. It’s problem solving.
3. Design for your parents. Not for yourself. It’s never selfish.
4. Get inspired by great designs. Try to make them better. Credit the designer.
5. Read. Read and Read. Stay calm and listen to what people say about design. Think through. And analyze what can be done better.
6. Work on em. Every damn day. Push yourself to make it perfect. Roll up your sleeves and work on your product. Over and Over again.
7. Talk about your design. The more you talk/explain about why you designed that way, the more clarity you get.
8. Concentrate on the aesthetics of your product.
9. Have a healthy disrespect for design rules. Go out of the road into those rough waters. Try something new, and tell the world what you learnt.
10. Extend beyond your horizon. Don’t just be stitched to one single product. Think about how these things could shape up in the future. Write them down.
11. Don’t rest until its elegant.

Most importantly,

> Don’t rest until its elegant.

I might not be a grown-up designer. Yet. I might not even be called a designer. But for most of my waking hours, I’ve been following these 10 rules at my office. Hope this helps.

A checklist for self-taught designers to be better at their job in the product design space.

The 'I'm a better designer' checklist - Complete Guide

The 'I'm a better designer' checklist

This concise artificial-intelligence article covers ai in 2024: what actually worked and what’s coming next. AI is everywhere, and it’s not just for the big players. Here are some of the most interesting AI projects that worked in 2024.

The hype around AI was deafening in 2024. But looking past the noise, some real, practical developments emerged that are changing how enterprises work. Let me break down what actually mattered.

## Super Agents: From Buzzword to Business Value

Remember when everyone was building basic chatbots? We've moved way beyond that. At Skcript, we took this challenge head-on with [S1 EDGE](/s1) - our edge computing platform that transforms how enterprises deploy AI agents. It's not just about running models; it's about running them intelligently, securely, and cost-effectively at the edge.

What's different now is that these agents can:

- Ground their responses in your company's actual documents
- Interface with multiple internal tools
- Make reasoned decisions about when to escalate to humans
- Maintain security and compliance standards

This isn't just automation – it's intelligent assistance that actually delivers ROI.

## The Hardware Story Nobody's Talking About

While everyone focused on Nvidia's dominance, something more interesting happened in the background. Edge computing and efficient inference engines are changing the game. Apple showed us what's possible with on-device AI, and now enterprises are following suit.

The market is finally getting competitive. AMD, Intel, and innovative startups are bringing new solutions that could make AI deployment more cost-effective. For businesses, this means more options and better economics.

## Open Source: The Dark Horse of 2024

The open source AI ecosystem exploded this year. Meta's Llama 3 and IBM's Granite series proved you don't need black-box proprietary systems to get enterprise-grade results. More importantly, they showed you can have both openness and safety.

## What's Coming in 2025

Based on what we're seeing in production environments:

1. **Efficient Scale**: The focus is shifting from bigger models to smarter deployment. Companies are getting better results with smaller, more focused models.

2. **Real Integration**: AI systems will talk to each other better. The days of isolated AI experiments are ending.

3. **Practical Multimodal**: Processing text, images, and video together will become standard for business applications.

4. **Edge Intelligence**: More AI processing will happen on local devices, improving privacy and speed.

**Related**: [Why Unstructured Data is the Hidden Gem in Your AI Strategy: A CEO's Perspective](/blog/ai-unstructured-data-ceo)

## What You Should Do Now

If you're running an enterprise tech stack:

1. Start with specific, high-value problems instead of trying to "AI everything"
2. Build governance into your AI systems from day one
3. Look for solutions that integrate with your existing tools
4. Focus on measuring actual business impact, not just technical metrics
5. Look into automating your manual [document data processing with AI](/blog/what-is-dde)

## The Reality Check

Here's what we learned from working with Fortune 500 companies this year: success with AI isn't about having the fanciest models. It's about thoughtful implementation and clear business objectives.

The most successful projects we saw weren't the ones with the biggest budgets or the most advanced technology. They were the ones that started with clear problems and built solutions that actually fit their organizations.

## Looking Forward

2024 was when AI got real for enterprise. The technology matured, the tools improved, and companies figured out how to actually use this stuff. 2025 will be about scaling what works and finding new ways to create value.

The question isn't whether to use AI anymore. It's how to use it effectively.

Let's talk about how these trends could impact your business. I'm always interested in hearing about new challenges and sharing what we've learned.

_Want to discuss more? Drop me a line at friends@skcript.com_

AI is everywhere, and it’s not just for the big players. Here are some of the most interesting AI projects that worked in 2024.

AI in 2024: What Actually Worked and What’s Coming Next

This concise artificial-intelligence article covers why unstructured data is the hidden gem in your ai strategy: a ceo's perspective. Discover the importance of unstructured data in AI and how it can unlock new opportunities for your business.

As the CEO of Skcript, I've seen firsthand how companies struggle with their data strategies. While everyone talks about AI, many organizations are overlooking their most valuable asset: unstructured data. Let me share my thoughts on why this matters and how you can take advantage of it.

## The Reality We're Facing with Unstructured Data

Every week, I meet with business leaders who are eager to implement AI solutions but aren't sure where to start. Here's what I've learned: most companies are sitting on a goldmine of untapped potential in their unstructured data, but they're only focusing on the structured part of their data ecosystem.

Think about it - your company's emails, documents, internal communications, and images make up about 80% of your total data. Yet, most organizations I work with are only utilizing their structured data, which represents just 20% of their information assets.

## What I've Learned About Unstructured Data

Through our work at Skcript, I've observed that unstructured data is becoming increasingly crucial for modern AI implementations. This is especially true for:

- Retrieval Augmented Generation (RAG)
- LLM fine-tuning
- Advanced analytics
- Customer experience enhancement

One fact that consistently surprises our clients is that organizations typically produce four times more unstructured than structured data. This represents an enormous opportunity that most companies aren't capitalizing on.

## A Success Story That Changed My Perspective

Let me share a transformative case that shaped my understanding of unstructured data's potential. Recently, we worked with a telecommunications company that was struggling with customer support efficiency. By implementing AI to analyze their internal knowledge base, they achieved something remarkable:

Their customer service response times dropped dramatically, answer accuracy improved significantly, and most importantly - the solution was so effective that it spread organically throughout their call center. This is the kind of organic adoption that every CEO dreams of seeing.

## Starting Small: My Advice to Business Leaders

From my experience leading Skcript, I've learned that the key to success with unstructured data is starting small but thinking big. Here's my recommended approach:

- Begin with what you have - your internal documentation and communication
- Choose one specific business problem to solve
- Build a proof of concept that demonstrates clear value
- Scale based on actual results, not theoretical potential

## The Future of Data Management: My Predictions

Based on our work with clients across industries and my conversations with other industry leaders, I see several trends emerging:

- Companies will move toward unified data platforms that handle both structured and unstructured data
- AI agents will become integral to everyday business operations
- New storage solutions specifically designed for unstructured data will emerge
- The line between data engineering and AI engineering will continue to blur

## Implementation Best Practices From Our Experience

At Skcript, we've developed a framework for successfully implementing unstructured data initiatives:

- Start with proper data governance - this is non-negotiable
- Implement robust security protocols from day one
- Focus on standardizing data formats across your organization
- Invest in metadata enrichment capabilities
- Build scalable access control systems

## Looking Ahead

As I look to the future of AI and data management, I'm more convinced than ever that unstructured data will be the differentiating factor between companies that thrive and those that merely survive in the AI era.

My advice to fellow business leaders is simple: don't wait to start working with your unstructured data. The tools and technologies are ready, and the potential value is enormous. Whether you're looking to improve customer experience, accelerate product development, or enhance operational efficiency, your unstructured data holds the key to unlocking these opportunities.

At Skcript, we're committed to helping organizations navigate this journey. The companies that start building their unstructured data capabilities today will be the ones leading their industries tomorrow.

## What do you want to do with your data?

Remember, every company has valuable unstructured data - the question isn't whether you have it, but rather what you're going to do with it. The time to act is now. Let's embrace this opportunity to transform how we use data to drive business value.

What's your take on unstructured data in your organization? I'd love to hear your thoughts and experiences. Feel free to connect with me on LinkedIn or reach out to our team at Skcript to continue the conversation.

Discover the importance of unstructured data in AI and how it can unlock new opportunities for your business.

Skcript AI Software for Enterprise Leverage

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The 'I'm a better designer' checklist

AI in 2024: What Actually Worked and What’s Coming Next

Why Unstructured Data is the Hidden Gem in Your AI Strategy: A CEO's Perspective

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Skcript AI Software for Enterprise Leverage

Products that cut the noise, connect the dots, and let your team focus.Products that cut the noise, connect the dots, and let your team focus.

The Skcript Stack

One company, many frontiers

Featured from our blog

The 'I'm a better designer' checklist

AI in 2024: What Actually Worked and What’s Coming Next

Why Unstructured Data is the Hidden Gem in Your AI Strategy: A CEO's Perspective

Products that cut the noise, connect the dots, and let your team focus.