Systems | Development | Analytics | API | Testing

Ep 34 | If You're Not Managing Your Data, You're Not Managing Your AI with Jim Liddle

Jim Liddle, Chief Innovation Officer of Data Intelligence and AI at Nasuni, joins The AI Forecast to spotlight a critical obstacle to enterprise AI: messy, ungoverned data. He and host Paul Muller trace the evolution of data management and unpack why so many organizations still struggle with the basics, starting with the challenge of taming unstructured information.

Why "Garbage In, Disaster Out" is AI's New Reality: Ecolab CDO

Join us for expert insights on driving data-led change with Anand Iyer, Senior Vice President and Chief Data Officer at Ecolab. In this episode, Anand breaks down his approach to AI-powered innovation and shares how to ensure your initiatives have a real, measurable impact on the bottom line. Discover how self-service analytics with AI is transforming data access and learn why AI is now a critical "business forcing function" in today's volatile world.

Modernizing legacy data architectures for the AI era with CarGurus

In this episode, Parag Shah — data leader and transformation expert with experience at Rocket Software and CarGurus — shares how forward-thinking enterprises are modernizing their data infrastructure with unified analytics platforms, best-in-class vendors like Fivetran and Snowflake, and extensible tools like the Fivetran Connector SDK.

The 4-Part Alignment Framework Every SaaS CMO Needs (Kyle Lacy, Docebo)

What would happen if Marketing stopped acting like a request factory and stepped up as the hub of revenue, enablement and strategy? In this episode of Move the Needle, Kyle Lacy (CMO at Docebo, ex-Seismic, ExactTarget, Salesforce) breaks down his "CREM" framework—Communication, Revenue, Enablement, Metrics—and shows how any SaaS team can use it to earn board-level credibility and hit the pipeline number. Along the way we tackle product-level pipeline ownership, building an AI “SWAT team,” and the right way to say “no” to random requests without losing goodwill.

Deploy a Python Flask App to Render with Docker

In this tutorial, we will build a Flask app with Docker, create a background worker with Celery, and use RabbitMQ as the message broker between the two services. This (relatively) simple example will be used to demonstrate how Docker makes it easier to run multiple services and share configuration details between developers. In the last section, we will also build and optimize our app for deployment to Render, so we can avoid some of the common gotchas it is easy to fall victim to along the way!

Datadog Vs Sentry Comparison In 2025

As software systems become distributed, scalable, complex and dynamic, observability tools become essential to ensure smooth functioning of the systems, early detection of the issues and quick resolution. Sentry and Datadog are two main observability tools which is used in the modern DevOps workflow. Let’s see the detailed comparison of Datadog and Sentry in this blog.

Testing Library React Hooks: A Complete Guide

React Hooks changed the way we compose components, but testing them can be a mess—especially if you’re using asynchronous data, having side effects that require cleanup logic, or need to check dependencies from React Context. The react-hooks-testing-library (deprecated now in favor of testing-library/react) solves all of these problems, allowing developers to test hooks in isolation, configured for specific behavior.

Optimizing IoT Protocols for Edge Microservices

Choosing the right IoT protocol for edge microservices can save energy, reduce latency, and improve efficiency. Here's a quick guide: MQTT: Lightweight and energy-efficient, ideal for resource-constrained devices. AMQP: Reliable and secure, great for mission-critical applications but resource-intensive. CoAP: Best for low-power, low-bandwidth devices with minimal energy needs. HTTP/REST: Widely compatible but consumes more energy and bandwidth.

Turn Data Into Dollars: Start Offering BI Services Today #businessintelligence #clientreporting

Are your clients drowning in data? Learn how to turn the work you're *already* doing into a strategic service offering. In this short guide from Databox, we’ll show how agencies and consultants can package, sell, and deliver Business Intelligence as a Service to help clients bridge the gap between raw data and real business decisions. Help clients track performance Spot trends & growth opportunities Package and price BI as a Service Get free training & support from Databox.