Maria Beckles·Oct 7How I Used AI to Build a Data Pipeline and Dashboards as a TPMHow I Used AI to Build a Data Pipeline and Dashboards as a TPM
Adewale Emmanuel Olakayode·Oct 7Building a Production-Ready Python Automation Pipeline for Daily Bank ReportsHow I designed a dynamic, incremental Python ETL system to transform daily banking text reports into structured Excel workbooks
Nayantara P S·Sep 22Why Do AI Projects Fail Even With Working Technology?There is a particular discussion around certain types of AI projects.
Nayantara P S·Sep 22From Raw-Data to Manufacturing Intelligence in Pharmaceutical ProductionPharmaceutical manufacturers seem to generate data everywhere.
InputiX·Sep 18The Real Challenge With AI Data Automation Isn’t the AIAI data automation sounds simple.
Sneha Mehra·Aug 18Unity Catalog Automation: Governance Beyond Setup“We already have Unity Catalog, governance is basically done.” That sentence gets said in enterprise architecture reviews more often than…
Trellissoft AI·Aug 5Unifying the Silos for Enterprise AIThree industry perspectives on connecting business context, applying AI to workflows, and investing with measurable outcomes in mind.A response icon1A response icon1
InData Science CollectivebyKevin Meneses González·Jul 8AI Document Processing in 2026: How LLMs Are Replacing Legacy OCR WorkflowsTL;DR: OCR digitizes a page. AI document processing turns that page into structured, usable data — no templates, no rules to maintain…A response icon3A response icon3
Qaiser Anoosh Mughal·Jun 26Building a Cloud-Ready ETL Pipeline with Python: From Raw Data to Analytics-Ready InsightsIn the modern data-driven landscape, organizations generate vast amounts of information from disparate sources. Before this data can be…
Vasile Bratu·Jun 8E-commerce Price Intelligence: How Automated Competitor Monitoring Protects Margins and Boosts…By Vasile Bratu Senior Python Engineer & Data Automation Specialist
