Tue.Jul 02, 2024

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The Role of DevOps in Accelerating Product Roadmap Delivery

Gocious Blog

Streamlining Development to Deployment in Manufacturing In the competitive landscape of cyber-physical product development (physical products with a software component), the ability to rapidly deliver new features and updates is crucial for winning over and retaining customers. These results are easier said than done, as cyber-physical product manufacturers must navigate the challenges of integrating hardware and software development at scale across diverse portfolios.

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Counterintuitive advice for building AI products

Lenny Rachitsky

👋 Hey, I’m Lenny and welcome to a 🔒 subscriber-only edition 🔒 of my weekly newsletter. Each week I tackle reader questions about building product, driving growth, and accelerating your career. For more: Best of Lenny’s Newsletter | Hire your next product leader | Podcast | Lennybot | Swag Subscribe now You’re either building AI into your product now or you will be soon.

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7 Business Analytics Examples From Top Companies (+Use Cases)

Userpilot

Data-driven companies are 58% more likely to hit revenue goals. This shows how important business analytics is for your product. Business analytics gives insights that help you make better decisions to improve your product. This article will show seven examples of business analytics to highlight its positive impact. TL;DR Business analytics uses data to find trends and boost performance.

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Customer Story: B2B SaaS Company

ProductPlan

The challenge As a B2B SaaS company, this organization experienced rapid growth over the span of a decade. They developed multiple product lines and services to support a global target audience. The champion at the B2B SaaS company is supporting the recent effort to mature its R&D operations to meet the increasingly sophisticated needs of its global customers.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Self-Service Data Platform: Definition & Must-Have Features

Userpilot

A self-service data platform is the backbone of informed decision-making and a growing SaaS business. But how do you choose the right data platform for product analytics ? What should you look for? Let’s go over what a data platform is, its importance, and the must-have features you should consider to choose the right platform for you. TL;DR A self-service data platform is a user-friendly system that allows non-technical users to extract, transform, and visualize data without extensive IT suppor

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A Comprehensive Comparison Between HL7 vs. FHIR

Arkenea

One of the key challenges faced by large healthcare organizations is interoperability. Major U.S. cities have high rates of interoperability of health data, but variation exists. An organization that runs on multiple systems such as practice management, EHRs, or patient portals is bound to face data exchange problems. Small-sized clinics face fewer interoperability issues compared to larger organizations.