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AI, Data Mesh, and the Future: How We’re Changing Data Access

  • Writer: Lili Marsh
    Lili Marsh
  • Oct 15, 2024
  • 4 min read


As someone who’s spent a lot of time in the data industry, I’ve seen firsthand how challenging it can be for companies to truly unlock the potential of their data. Traditional approaches are often slow, siloed, and difficult to manage. Even with the vast amounts of data available, many businesses are still left guessing when it comes to decision-making because accessing insights in real time has been nearly impossible.

 

That’s why, at Data Tiles, we’ve turned to Artificial Intelligence (AI) to help solve these long-standing challenges. AI has been a game-changer for us, particularly in developing Latttice, our zero-code Data Mesh solution. Latttice allows enterprises to create, secure, and share, data products, whilst accessing decentralized data wherever it resides, in a secure and trusted manner. With AI guiding the process for the user, the complexity of creating high quality data products, encompassing the relevant tenants disappears, enabling the businesses a fast onramp to better decisions and subsequent outcomes.

 

 

AI and Latttice: Transforming Data for Enterprises

 

Latttice is the embodiment of how AI can transform a company’s data landscape. Enabling data as a product, and therefore a true data asset, has traditionally been very difficult. This has led to substandard data products and subsequent user experience. By embedding AI in the centre of the data product creation process, it becomes the guide at every step. Whether that’s at the beginning with suggesting what to investigate through to data product creation and publication. This shift enables:

 

  • Enhanced Insights Discovery: The ability to synthesize patterns, relationships, and anomalies within datasets to create meaningful and enriched data products. This capability enhances the insights available to users, allowing them to ask better questions, discover hidden trends, and derive strategic value without needing deep data engineering knowledge.

 

  • Adaptive and Scalable Data Strategy: Helping create adaptive data products that evolve as new data is ingested. This can help scale data creation and transformation processes seamlessly, maintaining alignment with data quality, governance, and business requirements.

 

  • Enhanced Collaboration Across Teams (and the Data Catalyst): Makes data product creation a collaborative exercise. Non-technical users can contribute to the development process, define business rules, and iterate on product definitions without deep technical involvement, bridging the gap between business and data teams.

 

 

AI, in this case, isn’t just a feature—it’s the foundation that allows enterprises to tackle complex data product creation in ways that were previously impossible. But, as much as we’ve seen Latttice solve challenges at the enterprise level, we realized there’s another big need out there. Not all businesses have the same scale, complexity, or need, but they still face major data access challenges. This is where our latest venture comes in.

 

 

Introducing DeZign Bytes and ChattterBox: Simplifying Data Access for SMEs

 

While Latttice provides a robust solution for enterprises, we knew we had to address the needs of small and medium-sized businesses (SMEs) that don’t require the full capabilities of building data products. These businesses still need quick, reliable access to their data but without the complexity of data product creation and the tenants that apply. That’s where DeZign Bytes and our new AI-powered tool, ChattterBox, come into play.

 

ChattterBox is AI-driven solution specifically designed for businesses that need a fast, secure, super easy way to chat with their data using natural language—no complicated queries or coding. With ChattterBox, users can:

 

  • Chat with their data: Start asking questions and getting insights with data within 60 seconds. Using natural language or AI-generated prompts, businesses can interact with their data directly—no coding or data engineering required.

 

  • Uncover unknown insights: Whether you’re pulling data from your CRM system, Shopify, or another platform, ChattterBox is that assistant that aids you in discovering the insights that you typical would not find, or not even think to ask.

 

  • Download Results: Once you’ve got your answers, you can export your results to be used with a tool of your choice, or upload to ChattterBox and start another conversation.

 

This simple approach makes ChattterBox perfect for SMEs or anyone who just needs to "chat" with their data, without the complexity that comes with larger, enterprise-level solutions like Latttice. In fact, I’d argue that without AI, solving this type of data access problem would have been nearly impossible. It’s another example of how AI is helping us remove barriers and make data accessible to everyone, regardless of their size or technical ability.

 

 

AI: The Key to Breaking Data Barriers

 

At Data Tiles and now DeZign Bytes, we’ve seen firsthand how AI has the power to transform the way businesses interact with their data. According to McKinsey, companies that successfully adopt AI will experience a 20-25% increase in operating profits over the next decade. This is a glimpse of the future we’re building toward—one where AI-powered, zero-code solutions make data access not just easier, but transformative for businesses of all sizes.

 

Whether it’s through Latttice for enterprises or ChattterBox for SMEs, AI is helping us fix one of the most stubborn problems in the data space: access. And the best part? This is just the beginning. The future of data is limited only by our imagination. I’m excited to continue this journey and see how these solutions will help businesses grow, innovate, and thrive.

 

If you’re looking to take control of your data—whether you’re an enterprise navigating complex systems or an SME looking for simplicity—our AI-driven solutions can help you get there.

 

 

Wishing you successful AI adoption,

Lili Marsh.

 

 
 
 

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