
Semantic Models to Agents: How AI Opens Databases to Everyone
From semantic models to AI agents: how NL2SQL tools and MCP‑connected assistants evolved self‑service analytics, letting anyone query and visualise live databases in plain language.
From semantic models to AI agents: how NL2SQL tools and MCP‑connected assistants evolved self‑service analytics, letting anyone query and visualise live databases in plain language.
AI is limited today because it cannot truly understand or maintain context the way humans do. As context windows expand, tools like Model Context Protocols, AI agents, and integrated systems will allow AI to act more intelligently, bridging the gap toward AGI.
Analysts who embrace AI as a productivity tool and double down on skills like storytelling, prompt engineering, and strategic thinking will become even more valuable.
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Explainable AI and model interpretability make AI decisions transparent and understandable, which is essential for building trust and accountability in the age of complex, generative AI.
Creating a data-led audience audit procedure using LinkedIn ad data to prove product value without a full setup.
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The literate visualisation framework was developed to improve data communication and decision-making processes in the business domain.
At the time of writing this story, I have started reading my 9th e-book on my Kindle. Reading an e-book on an e-reader comes in handy in terms of many aspects such as accessibility, mobility and functionality.
There are nearly 9 million people living in London according to data.gov.uk. Among these 9 million, there are different personas who make up the daily traffic interactions in the city.
Being vaccinated or not being vaccinated? While some people are in a heated debate over this dilemma, others wonder when -or if- this is going to be all over as we have gone through enough to make angels weep.
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