Data + Intelligence

Abstract In today’s digital-first world, healthcare organizations face increasing pressure to modernize operations and improve service delivery. Intelligent automation is no longer a luxury (it’s the foundation for scalable, efficient, and personalized healthcare systems). At Perficient, we’re driving innovation by integrating tools like n8n, Azure OpenAI, and Pinecone to develop smarter, context-aware solutions for the […]

Consumers aren’t waiting for healthcare to evolve—they’re already redefining what access means. They expect care to be affordable and available, but that’s only the beginning. Increasingly, they also demand experiences that are convenient, personalized, and digitally seamless. When those expectations aren’t met, they don’t hesitate to look elsewhere. Understanding this shift requires more than demographic […]

The recent Tricentis India Partner Event was more than just a gathering of quality engineering professionals — it was a showcase of how intelligent testing, fueled by AI and automation, is redefining the way we think about software quality, speed, and resilience. We at Perficient take great pride in being part of this esteemed event. […]

Abstract In recent years, language models and AI have reshaped how we interact with data. Yet, a significant portion of business knowledge still resides in relational databases (highly structured but not exactly user-friendly for those unfamiliar with SQL). So what if you could query that data using natural language, as if you were speaking to […]

Abstract We live in a time when automating processes is no longer a luxury, but a necessity for any team that wants to remain competitive. But automation has evolved. It is  no longer just about executing repetitive tasks, but about creating solutions that understand context, learn over time, and make smarter decisions. In this blog, […]

What is Databricks Lakebase? Databricks Lakebase is a Postgres OLTP engine, integrated into Databricks Data Intelligence Platform. A database instance is a compute type that provides fully managed storage and compute resources for a postgres database. Lakebase leverages an architecture that separates compute and storage, which allows independent scaling while supporting low latency (<10ms) and […]

We’re excited to welcome Bamidele James as Perficient’s newest and third Databricks Champion!  His technical expertise, community engagement, advocacy, and mentorship have made a profound impact on the Databricks ecosystem. His Nomination Journey Bamidele’s journey through the nomination process was vigorous. It required evidence that he has successfully delivered multiple Databricks projects, received several certifications, […]

When using cloud-based event-driven systems, it’s essential to respond to changes at the storage level, such as when files are added, modified, or deleted. Google Cloud Platform (GCP) makes this easy by enabling Cloud Storage and Pub/Sub to talk to one another directly. This arrangement lets you send out structured real-time alerts whenever something happens […]

What’s it like to receive a phone call to say, “I need you to quickly transfer some funds,” and that person sounds just like your boss, but it is not your boss? Or somebody constructing a complete and realistic video of you stating something you never said? This is not science fiction,  this is reality […]

Business users don’t use notebooks. Full stop. And for that reason, most organizations don’t have business users accessing the Databricks UI. This has always been a fundamental flaw in Databricks’ push to democratize data and AI. This disconnect is almost enshrined in the medallion architecture: Bronze is for system accounts, data scientists with notebooks use […]

Databricks recently announced support for MLflow 3.0, which features a range of enhancements that redefine model management for enterprises. Integrated seamlessly into Databricks, MLflow is an open-source platform designed to manage the complete machine learning lifecycle. It provides tools to track experiments, package code into reproducible runs, and share and deploy models. With the launch […]

Model Context Protocol (MCP) is reshaping the way AI agents interface with data and tools, providing a robust framework for standardization and interoperability. As AI continues to permeate business landscapes, MCP offers particular advantages in creating scalable, efficient AI systems. This blog explores what MCP is, its role in the AI landscape, and focuses on […]