In energy and manufacturing supply chain operations, timing is everything. Whether it's spotting a potential maintenance issue before it causes downtime, or making the right procurement call under tight deadlines, the ability to act on data - quickly and confidently - can result in the difference between smooth operations and costly delays.
Blend are excited about the new conversational analytics tool from Databricks. We partner with the data platform provider with leading data governance (Unity Catalog). The technology which provides a significant leap forward in democratising data access across organisations. The outcome is decision-makers have can discuss operational data.
Top performing companies use their data - the right insights, delivered to the right decision makers, precisely when action can make the greatest impact. At Blend, we work with industry-leading companies to improve their processes and solve complex business challenges through using data effectively. For example, in supply chain, we have delivered solutions which have made an impact to operational efficiency, logistics optimisation, and schedule attainment.
Let's say you're a maintenance planner at an offshore facility. You're juggling inspections, contractor schedules, and compliance reports. You are looking for the latest information on maintenance backlog and don't have time for the Lead Engineer to reply to an email, dig through datasets or wait days, or weeks, for an answer from the centralised data team.
Now with Databricks, an AI/BI Genie chat interface can be created so you can simply ask "Which equipment items have a scheduled maintenance backlog and are classified as having high operational criticality?" and receive an immediate response from governed data. You can continue to converse with fit-for-purpose analytics to support operations with explanations, visualisations and actionable analytical insights. The solutions depends on managing your data (e.g. Maximo for maintenance data) within Unity Catalog, a unified governance solution for data and AI assets on Azure Databricks.
Blend helps companies understand how AI can improve current processes through reducing time spent on data wrangling by building fit-for-purpose insights designed to inform priority decision-making. We help organisations integrate AI into day-to-day operations, providing high quality insights while reducing manual effort, enabling teams to focus on higher-value work rather than routine data tasks.
Databricks' AI/BI Genie is transforming processes, allowing for faster, more-informed decision making with access to an organisation’s centralised performance information. The real power of Genie isn't just in answering questions, but in enabling business users to ask follow-up questions that drill deeper into unexpected patterns they discover, or for the troubleshooting required.
The conversational nature of AI/BI Genie mirrors how humans naturally think about business problems and the way actual operational decision-making happens - dynamic, responsive, and following logical threads as new information emerges. It's particularly valuable in complex operational environments where problems rarely present themselves in neatly structured ways that match predefined dashboards. Rather than requiring rigid, pre-structured queries or technical language, operators can:
The business world has long faced a fundamental challenge: decision makers, performance owners, and operational teams with the most valuable business questions often lack the technical skills to efficiently extract answers directly from their data. That process is often slow and inefficient, relying on a single employee who knows, manual data wrangling or central data teams.
Traditional data analysis requires SQL expertise, understanding complex data models, and navigating technical infrastructure – meaning business’ data or digital teams often get bogged down with routine requests.
Databricks AI/BI Genie eliminates these barriers by allowing operational teams to have data conversations in plain language. A maintenance planner can ask “Which maintenance tasks on our offshore platform have been outstanding for more than 30 days with high safety criticality?” and receive immediate answers with context, data analytics and visualisations. No coding, manual data extracts, or Excel wrangling required.
Genie combines AI capabilities with human expertise by setting business-specific instructions, designing sample queries and defining the relevant governed data sets and model outputs. Subject matter experts work with data teams to shape the environment and purpose to ensures the tool understands relevant terminology and returns contextually appropriate results.
The Genie continuously improves through user feedback, learning the specific language and needs of your organisation over time. This creates a virtuous cycle where business users become more data-literate while the AI becomes more attuned to their specific needs.
A critical challenge with many LLM tools is data governance - managing privacy risks, ensuring data security, and maintaining regulatory compliance.
What makes Genie particularly powerful for energy & manufacturing supply chains is how it combines natural language accessibility with enterprise-grade governance. Unlike many LLM solutions that create compliance risks, Genie builds upon Unity Catalog to ensure:
These governance features are especially critical in energy & manufacturing operations where regulatory compliance, safety protocols, and commercial sensitivities demand trustworthy analytics.
You can learn more about the benefits of Unity Catalog here.
It's important to recognise that AI/BI Genie isn't a standalone solution or magical fix-all tool. Rather, it's a technology option depending on your AI strategy and the expected value opportunity. All analytics efforts should directly support operational excellence and business outcomes. Any technical solution should leverage clean, connected data as the foundation for insight generation.
Genie AI/BI is a tool which is providing visibility of energy and manufacturing supply chain operations. The most significant impact is delivering time-sensitive insights to those who need that information when they are being acted on. When the right information reaches frontline teams and operational decision makers at the right time, it directly impacts asset performance, safety metrics, and financial outcomes.
In energy and manufacturing supply chain operations, timing is everything. Whether it's spotting a potential maintenance issue before it causes downtime, or making the right procurement call under tight deadlines, the ability to act on data - quickly and confidently - can result in the difference between smooth operations and costly delays.
Blend are excited about the new conversational analytics tool from Databricks. We partner with the data platform provider with leading data governance (Unity Catalog). The technology which provides a significant leap forward in democratising data access across organisations. The outcome is decision-makers have can discuss operational data.
Top performing companies use their data - the right insights, delivered to the right decision makers, precisely when action can make the greatest impact. At Blend, we work with industry-leading companies to improve their processes and solve complex business challenges through using data effectively. For example, in supply chain, we have delivered solutions which have made an impact to operational efficiency, logistics optimisation, and schedule attainment.
Let's say you're a maintenance planner at an offshore facility. You're juggling inspections, contractor schedules, and compliance reports. You are looking for the latest information on maintenance backlog and don't have time for the Lead Engineer to reply to an email, dig through datasets or wait days, or weeks, for an answer from the centralised data team.
Now with Databricks, an AI/BI Genie chat interface can be created so you can simply ask "Which equipment items have a scheduled maintenance backlog and are classified as having high operational criticality?" and receive an immediate response from governed data. You can continue to converse with fit-for-purpose analytics to support operations with explanations, visualisations and actionable analytical insights. The solutions depends on managing your data (e.g. Maximo for maintenance data) within Unity Catalog, a unified governance solution for data and AI assets on Azure Databricks.
Blend helps companies understand how AI can improve current processes through reducing time spent on data wrangling by building fit-for-purpose insights designed to inform priority decision-making. We help organisations integrate AI into day-to-day operations, providing high quality insights while reducing manual effort, enabling teams to focus on higher-value work rather than routine data tasks.
Databricks' AI/BI Genie is transforming processes, allowing for faster, more-informed decision making with access to an organisation’s centralised performance information. The real power of Genie isn't just in answering questions, but in enabling business users to ask follow-up questions that drill deeper into unexpected patterns they discover, or for the troubleshooting required.
The conversational nature of AI/BI Genie mirrors how humans naturally think about business problems and the way actual operational decision-making happens - dynamic, responsive, and following logical threads as new information emerges. It's particularly valuable in complex operational environments where problems rarely present themselves in neatly structured ways that match predefined dashboards. Rather than requiring rigid, pre-structured queries or technical language, operators can:
The business world has long faced a fundamental challenge: decision makers, performance owners, and operational teams with the most valuable business questions often lack the technical skills to efficiently extract answers directly from their data. That process is often slow and inefficient, relying on a single employee who knows, manual data wrangling or central data teams.
Traditional data analysis requires SQL expertise, understanding complex data models, and navigating technical infrastructure – meaning business’ data or digital teams often get bogged down with routine requests.
Databricks AI/BI Genie eliminates these barriers by allowing operational teams to have data conversations in plain language. A maintenance planner can ask “Which maintenance tasks on our offshore platform have been outstanding for more than 30 days with high safety criticality?” and receive immediate answers with context, data analytics and visualisations. No coding, manual data extracts, or Excel wrangling required.
Genie combines AI capabilities with human expertise by setting business-specific instructions, designing sample queries and defining the relevant governed data sets and model outputs. Subject matter experts work with data teams to shape the environment and purpose to ensures the tool understands relevant terminology and returns contextually appropriate results.
The Genie continuously improves through user feedback, learning the specific language and needs of your organisation over time. This creates a virtuous cycle where business users become more data-literate while the AI becomes more attuned to their specific needs.
A critical challenge with many LLM tools is data governance - managing privacy risks, ensuring data security, and maintaining regulatory compliance.
What makes Genie particularly powerful for energy & manufacturing supply chains is how it combines natural language accessibility with enterprise-grade governance. Unlike many LLM solutions that create compliance risks, Genie builds upon Unity Catalog to ensure:
These governance features are especially critical in energy & manufacturing operations where regulatory compliance, safety protocols, and commercial sensitivities demand trustworthy analytics.
You can learn more about the benefits of Unity Catalog here.
It's important to recognise that AI/BI Genie isn't a standalone solution or magical fix-all tool. Rather, it's a technology option depending on your AI strategy and the expected value opportunity. All analytics efforts should directly support operational excellence and business outcomes. Any technical solution should leverage clean, connected data as the foundation for insight generation.
Genie AI/BI is a tool which is providing visibility of energy and manufacturing supply chain operations. The most significant impact is delivering time-sensitive insights to those who need that information when they are being acted on. When the right information reaches frontline teams and operational decision makers at the right time, it directly impacts asset performance, safety metrics, and financial outcomes.
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