Happy Thanksgiving to those celebrating! Since it’s a holiday, we’re keeping things light. This week the Konversation revolves around AI shaping construction planning, preventing dashboard failures, and highlights from our Atlanta Roundtable.
Top 3 Market Insights
- Construction Turns to AI for Predictive Planning: In construction, AI started as simple document digitization and has now evolved into AI systems to read drawings, interpret plans, and guide project decisions in real time. We recently helped a client early in their digital journey built the data backbone required to deploy AI that monitors progress, predicts delays, and suggests corrective actions.
- AI to Catch Dashboard Disasters Before CXOs: Companies are deploying multimodal AI to scan reports (e.g. Power BI), catching errors before they reach the C-suite. This has helped clients cut manual testing time and turn around fixes 85% faster. For modern QA team, AI prevents broken dashboards from reaching executives and damaging credibility, especially critical for decision-support and regulatory reporting.
- Build for AI Flexibility, Not AI Lock-In: Modern AI evolves fast and LLMs/vendor landscapes change even faster. We always advice clients to adopt platforms and architectural frameworks that will allow you to swap AI backends on demand. This helps isolate your applications from specific vendors/platforms. It’s like changing the engine without redesigning the entire car. Future car engines might give better performance and with lower costs.
Konverge.AI – Under the Hood
Our Work Highlights:
- Insights From Our Atlanta Roundtable: We recently hosted 35+ CXOs and senior leaders across industries for an exclusive roundtable themed “AI Pilots to Profits” Execs discussed around org readiness gaps for AI, Roadblocks preventing AI ROI, and frameworks positioning AI as a growth driver to boards. Want us to send the entire recording of the roundtable? Fill in this form.
- Enterprise RAG for a Corporate Finance Leader: We recently partnered with an F 500 bank to build a production-grade RAG system handling 50K+ daily queries across compliance, The solution helped the compliance team fastrack reporting from 5 days to 2 hours while maintaining zero data leakage across business units.
- RAG gets smarter with HyDE: Traditional RAG searches fail when queries don’t match document language wasting retrieval resources. Hypothetical Document Embeddings (HyDE) create hypothetical docs, turns them into embeddings, and finds info based on how similar the answers are. We are exploring this to boost response precision for client projects where accuracy is critical.
- MS Fabric for Contextual Data Quality Checks: Microsoft Fabric users can now catch semantic errors that detects contextual issues like pregnancy codes on male patients. We saw 45% of records had contextual errors despite passing format checks, that may lead to incorrect analytics and compliance reporting.
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