The Entrada team was thrilled to be a part of the Data + AI Summit by Databricks, held last week in San Francisco. As a pure-play Databricks partner, it felt like being present at the epicenter of an AI-driven revolution, a promising vision of what the future holds for our clients powered by data science.

The Dawn of an AI-First Approach

During the keynote, we were excited to see Databricks unveil their innovative suite of AI tools. This release represents a monumental step forward in bridging the gap between data scientists, engineers, and business analysts, truly embodying an AI-first approach.

This tool suite is designed to facilitate a unified working environment that fosters collaboration and eases the adoption of AI and machine learning technologies. From drag-and-drop machine learning models to robust pipelines and an integrated environment for model development, this suite is a testament to CEO Ali Ghodsi’s commitment to democratize AI.

LakehouseIQ and Delta Lake 3.0: Uniting the Best of Both Worlds

Another huge announcement was the introduction of LakehouseIQ. This revolutionary data architecture blends the strengths of data warehouses and data lakes, offering a unified platform for processing structured and unstructured data, supporting complex analytics, and running machine learning models at scale.

Backed by Delta Lake 3.0, the LakehouseIQ architecture signifies an exciting new chapter in Databricks’ Lakehouse vision. Entrada is excited to show our clients how the latest offerings will help them drive more value from their data assets.

Generative AI: Paving the Way for Innovation

The Summit spotlighted a key game-changer in the industry, Generative AI, a rapidly evolving field that is undeniably transforming the AI domain. As a firm steeped in AI deployment, we recognize the immense potential this technology harbors in developing new data models and optimizing data privacy. We’re excited to guide our clients in leveraging the unique benefits of Generative AI as they navigate their data and AI transformation.

Databricks Acquires MosaicML: A Strategic Move to Bolster AI Capabilities

In a strategic move, Databricks announced its acquisition of OpenAI competitor, MosaicML. This significant development signifies Databricks’ ambition to further strengthen its position in the AI landscape. MosaicML brings a robust platform that streamlines the machine learning lifecycle, enhancing computational efficiency and model performance.

The integration of MosaicML’s innovative solutions with Databricks’ robust ecosystem will undoubtedly empower partners like Entrada to deliver more comprehensive, efficient, and transformative machine learning solutions to our clients.

A New Era of Data and AI Innovation

Reflecting on the 2023 Data + AI Summit, we’ve never been more enthusiastic about the future of Data and AI. The introduction of Databricks’ AI tools suite, LakehouseIQ, the potential of Generative AI, and the strategic acquisition of MosaicML all promise to play a significant role in accelerating AI adoption across industries.

The future of data science and AI is bright, and we’re ready to help our clients harness these innovations for transformative business solutions.

Other blog posts
Abstract gear and network visualization representing the Databricks FinOps cost control architecture covered in the article.

From Cost Visibility to Action: Scaling FinOps Intelligence with Databricks System Tables and Genie

This post walks through the architecture Entrada built around that observation, the Serverless Cost Control Accelerator, and, more importantly, the design principles behind it. Regardless os whether we’re a platform engineer, SRE, or FinOps lead trying to decide where to invest, the principles matter more than the product.

Read more
Abstract healthcare data architecture showing a secure medical research platform for imaging, clinical notes, and lab data on Databricks

Building Secure, AI-Ready Medical Research Platforms on Databricks

Research organizations need faster, more reliable ways to prepare sensitive data for analysis without loosening their grip on governance and privacy. Across the medical research platforms we’ve built on Databricks, the same patterns keep proving their worth: cleaner ingestion, standardized de-identification, simpler access to research-ready datasets, and a foundation that holds up when analytics and AI ambitions grow. Here’s what we’ve learned about designing these environments well.

Read more
Post cover "Lakebase: The Death of the Siloed Application Database" by William Guzmán Daugherty Data Engineer at Entrada

Lakebase: The Death of the Siloed Application Database

Every enterprise manages two separate, expensive database systems: OLTP for real-time transactions and OLAP for analytics. The pipeline connecting them is the most fragile thing in the entire stack. Databricks’ Lakebase makes that pipeline optional, offering a strategic opportunity to collapse two stacks into one and finally deliver the near-real-time data that critical business applications need.

Read more
Show all posts
GET IN TOUCH

Millions of users worldwide trust Entrada

For all inquiries including new business or to hear more about our services, please get in touch. We’d love to help you maximize your Databricks experience.