Bryan Fields, MBA’s Post

👻 Haunted by unstructured PDFs and manual data entry? 👻 They’ll keep creeping back... until you replace them with something smarter. Blooma connects your systems, centralizes your data, and helps you move from haunted to harmonized. Don’t let these manual workflow ghosts follow you into Q4. Connect your systems, make faster decisions, and spot risks early. Learn More 👉 https://lnkd.in/gsYqqjgd

No more context bloat: Need to process a giant spreadsheet? MCP lets agents filter, summarize, or join data entirely in code, returning only what’s actionable. Context window overflow is history—now, agents handle orders-of-magnitude more data with no drop in reliability or speed. https://lnkd.in/gCMYF6Xi

Three months. That’s all it took for Penguin Random House to automate their data quality monitoring. From reactive fire drills to proactive visibility, they built a data reliability framework that scales across hundreds of datasets. The result: fewer incidents, faster insights, and a shared understanding of what “good data” means. If your team is still running manual checks, this story might sting a little.

6 Common Data Backup Mistakes That Established Businesses Make — and the Costly Consequences That Follow https://lnkd.in/dXe_5c8i From tech chaos to business clarity — we have you covered. https://lnkd.in/dKkcH7Sg

6 Common Data Backup Mistakes That Established Businesses Make — and the Costly Consequences That Follow https://lnkd.in/dXe_5c8i From tech chaos to business clarity — we have you covered. https://lnkd.in/dKkcH7Sg

Ever built a model that looked great on paper but struggled in the real world? You might’ve run into data leakage without realizing it. This carousel walks through what it is, why it happens, and how to spot it before it throws off your results.

Data recovery success depends heavily on how soon you act. Powering off your device immediately after data loss greatly increases recovery potential.

The ultimate guide to Open Source Observability in 2025: From silos to stacks You've been told the three pillars of observability, logs, metrics, and traces, are the answer. But stitching together separate, best-of-breed tools has likely left you with data silos, slow queries, and a constant battle against rising infrastructure costs. During an incident, you're not debuggi... https://lnkd.in/eE7gG4m3 By Manveer Chawla

Hot/cold tiering was smart in 2015! But today? Most are quietly burning six figures a year and losing weeks to incident response delays. Stop tiering your data by age and start architecting by business value! Josh R. explains how modern teams are breaking the tiering trap here: https://hubs.la/Q03RzNM-0

3 Al Frameworks That Actually Scale (Not Just Tools) Frameworks help to increase your Productivity, Efficiency etc. I used 1) The Pain Point Filter. 2) The Data First Test. 3) The Co-pilot Model. Which one are you missing?