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Data Analysis with Multi-Layered NLP Agents

Accessing and analyzing data is often a bottleneck for non-technical users, requiring technical skills and time-consuming processes. A multi-layered AI agent architecture, powered by Natural Language Processing (NLP), addresses these challenges by enabling conversational interactions with data. This architecture consists of three key components: the Interface Agent, which interprets user queries and structures them into actionable blueprints, a State Manager that managers the query state, and Query Agents, which execute analyses through systematic reasoning and iterative sub-queries. This multi-layer architecture ensures logical, transparent, and efficient data analyses.

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A Day in a Life with Jerome

1800 1st November 2024 The construction team was exhausted. After two weeks of extended hours, they’d finally made some headway on the project’s mounting delays. “The five EERs are finally done. Epoxy has been applied.” Dave, the construction manager, took photos of the team’s hard work and logged the progress via Jerome. Jerome is a digital project assistant who wears many hats. For Dave, Jerome takes the burden of time-consuming data entry and report writing, allowing the technical team to focus on engineering and site work. “I have updated the project status for Zone 2, EER 1-5 Epoxy application. EER 6-9 remains outstanding.” Jerome replied without hesitation. “I know…. That’s for tomorrow.” Dave uttered to himself, relieved that he wouldn’t end his day knee-deep in admin. 0630 2nd November 2024 Natasha arrived at the office early, as she often did, using the quiet hours to get a clear picture of the day ahead. “Good morning, Jerome. How did the team do yesterday?” she asked, settling into her desk. “Dave’s team completed the epoxy for EER 1-5. If EER 6-9 are finished today, we’ll see a 1% improvement in SPI and recover four lost days. Also, the lighting contractors are scheduled

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What’s so Great about EVM?

Earned Value Management, or EVM, is a powerful way of measuring project performance in a comprehensive, robust and quantitative way. It combines costs and schedule into a single value metric, which Gantts charts, schedules and check lists just can’t do. But how does it work? Read more to find out.

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What will 6G Bring to Construction?

6G is expected to run initial trials by 2028 and deployment around 2030. Technically, 6G will deliver mind-boggling speeds of up to 1 terabit per second (Tbps)—100 times faster than 5G, faster than existing fiber networks. It will operate in the terahertz (THz) frequency spectrum, which allows for much higher data rates but also requires new antenna designs and infrastructure to manage its shorter range. Each advancement in mobile communication transcends mere enhancements in speed. It represents a shift in the way we work and communicate . While we are still going through the 5G Hype Cycle, the perception is that IOT and has not lived up to expectations. For example, IOT together with 5G was meant to revolutionise Smart City and Smart infrastructure. But these ambitions remain unfulfilled… Except that’s not entirely true. Sure… some cities are smarter than others. When people think of smart cities, they conjure up the image of data everywhere augmented reality with ubiquitous facial recognition and targeted advertising. But they are much more nuance. A smart city leverages IOT and ITC to enhance the quality of life for its residents by improving operations and efficiencies. Much of which is invisible. It isn’t like a

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Digital Twin Strategy Case Study

A leading automotive manufacture was facing a series of data challenges, and were looking for a Digital Strategy and roadmap to improve their internal data process across vehicle programmes. We developed a 4 phase roadmap to achieve Level 3 Digital Twin maturity.

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