Posts by DeVaris Brown

CEO and Co-Founder @ Meroxa.

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Unlocking the Power of Edge AI with Real-Time Streaming: From Sensors to Insights Using Meroxa

This blog explores how low-latency inference, hardware acceleration, and agile real-time data pipelines drive faster, smarter decision-making. Learn how Meroxa empowers organizations with seamless data ingestion, real-time analytics, and scalable infrastructure to bridge the gap between edge computing and actionable insights—unlocking the full potential of AI-driven innovation.

By  DeVaris Brown

 11 Feb 2025

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From Data to Decisions: How Generative AI is Transforming Business in Real-Time

This blog explores how enterprises can leverage LLMs to extract instant value from continuous data streams and how conversational analytics is reshaping business intelligence. From financial services to retail, AI-powered data workflows are driving faster, smarter decisions—unlocking efficiency, scalability, and a strategic edge in a data-driven world.

By  DeVaris Brown

 11 Feb 2025

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No More Stale Models: Mastering Continuous MLOps with Meroxa & Databricks

No More Stale Models: Master Continuous MLOps with Meroxa & Databricks Keep your machine learning models fresh and accurate with real-time, automated MLOps. This blog explores how Meroxa’s Conduit Platform and Databricks enable continuous model retraining**, eliminating stale predictions and manual updates. Learn how to streamline data movement, real-time feature engineering, and automated ML workflows for peak performance. Whether for fraud detection, predictive maintenance, or personalized AI, discover how to scale MLOps efficiently. Stay ahead with always-on machine learning—no more stale models!

By  DeVaris Brown

 5 Feb 2025

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Unlock DeepSeek-Level Efficiency: Supercharge Your LLMs with Meroxa

This blog explores DeepSeek's hybrid training methodology, combining Supervised Learning and Reinforcement Learning, and emphasizes the critical role of real-time data orchestration for efficient LLM training. By showcasing how Meroxa’s platform enables dynamic data ingestion, seamless feedback loops, and scalable feature engineering, the blog provides actionable insights for professionals designing high-performance, real-time AI systems.

By  DeVaris Brown

 28 Jan 2025

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Real-Time AI Made Simple: How Meroxa and Databricks Work Together

Whether you’re building recommendation engines, fraud detection systems, or dynamic pricing models, real-time data powers smarter and faster decisions. For Databricks users, the platform already excels at advanced analytics and AI. Pair it with Meroxa’s seamless, cost-effective real-time data ingestion and transformation capabilities to unlock the full potential of real-time AI workflows. Together, Meroxa and Databricks simplify complex streaming architectures, enabling accurate insights and faster business outcomes without the usual headaches or costs.

By  DeVaris Brown

 21 Jan 2025

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Building a Future-Proof Data Architecture: A CTO’s Guide

Discover how CTOs can tackle fragmented data, scalability, compliance, and vendor lock-in challenges. This blog highlights how Meroxa’s Conduit Platform enables real-time data integration, optimized costs, and innovation-ready architectures to future-proof your enterprise.

By  DeVaris Brown

 16 Jan 2025

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Why the Lakehouse Is Replacing the Outdated Data Warehouse for Real-Time Streaming

Traditional data warehouses, long the cornerstone of analytics, are increasingly ill-equipped to meet the demands of today’s real-time, dynamic data needs. Enter the Lakehouse: an innovative architecture that blends the flexibility of data lakes with the robust querying capabilities of warehouses, seamlessly handling structured and unstructured data for real-time analytics. This blog explores the shortcomings of legacy systems, the transformative benefits of Lakehouses, and how Meroxa simplifies the journey with its intuitive tools, real-time data pipelines, and cloud-native scalability. From leveraging cutting-edge technologies like Apache Iceberg and Delta Lake to providing expert migration support, Meroxa empowers organizations to unlock faster, more flexible insights without the complexity or high costs of traditional solutions.

By  DeVaris Brown

 20 Dec 2024

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Why Bigger Isn’t Always Better: The Case for Ditching LLMs in Favor of Tiny Models Powered by Real-Time Data

In the rapidly evolving world of AI, businesses are discovering that the future lies not in massive, general-purpose language models (LLMs) but in tiny, specialized models powered by real-time data streams. These domain-specific models offer dramatic cost savings, enhanced accuracy, and reduced hallucinations by continuously learning from live business data. From customer support to financial services and supply chain management, tiny models excel in delivering precise, actionable insights tailored to specific operations. Powered by platforms like Meroxa, which enables robust real-time data infrastructure, this approach bridges the gap between AI capabilities and business needs, providing a sustainable, efficient path to enterprise AI innovation.

By  DeVaris Brown

 18 Dec 2024

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Stale Data is Killing Your AI Models: Why Real Time Data is the Best Path Forward

In today’s fast-paced AI landscape, relying on outdated, static datasets can lead to inaccurate models, costly retraining cycles, and delayed time-to-market for AI features. Real-time data pipelines offer a game-changing solution, enabling AI systems to stay accurate, scalable, and cost-effective by continuously learning from current conditions. With benefits like a 40% reduction in model hallucinations, faster deployment, and lower infrastructure costs, real-time data is essential for building reliable applications such as fraud detection, recommendation engines, and Customer 360 profiles. Discover how Meroxa’s platform empowers organizations to implement real-time data pipelines and unlock the full potential of their AI initiatives.

By  DeVaris Brown

 25 Nov 2024

Hello Meroxa 2.0

Since launching last April, Meroxa has become the de-facto platform for creating real-time data pipelines for over 300 companies.

By  DeVaris Brown

 20 Apr 2022