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Implementing Automation and an MLOps Framework for Enterprise-scale ML

With the explosion of the machine learning tooling space, the barrier to entry has never been lower for companies looking to invest in AI initiatives. But enterprise AI in production is still immature. How are companies getting to production and scaling up with machine learning in 2021? Implementing data science at scale used to be an endeavor reserved for the tech giants with their armies of developers and deep pockets.

Usage-Based API Pricing with Moesif and Recurly

Back in the day, it was normal to buy or rent servers and pay for them in a lump sum, independent of utilization. With the rise of serverless computing, infrastructure to build APIs has become cheaper, and on-demand pricing is the norm. Now that you only pay for what you use, why not include usage-based pricing as a feature in your own SaaS offering. With usage-based pricing your customers don’t get intimidated by high upfront costs, instead their costs grow as their business grows.

The Appian Cloud Security Advantage

Appian has been a recognized leader in cloud-based enterprise software platforms since delivering Appian Cloud in 2007. From the outset, we built our software to integrate with and complement the cloud’s unique advantages, and to protect it from vulnerabilities. We did so with a unique design philosophy, employing cloud-native and globally recognized frameworks like NIST for optimal security protection, business continuity, and enhanced support.

Interview with AI Specialist Dhonam Pemba

For our latest expert interview on our blog, we’ve welcomed Dhonam Pemba to share his thoughts on the topic of artificial intelligence (AI) and his journey behind founding KidX AI. Dhonam is a neural engineer by PhD, a former rocket scientist and a serial AI entrepreneur with one exit. He was CTO of the exited company, Kadho which was acquired by Roybi for its Voice AI technology. At Kadho Sports he was their Chief Scientist which had clients in MLB, USA Volleyball, NFL, NHL, NBA, and NCAA.

Laravel Logging Tutorial

Regardless of what language and framework you use, proper logging is crucial to web development. Logging is key when it comes to debugging and performance monitoring. Knowing how to properly use logging frameworks is an essential part of creating high-quality software that is easy to debug. In this article, we will discuss in-depth coverage on Laravel, which is the most popular PHP framework in 2021.

The ultimate guide to working with JSON

JavaScript Object Notation or JSON is a file format that was originally derived from JavaScript. It is used for storing and exchanging data, most commonly when serving data to websites, but JSON but has become ubiquitous amongst most programming languages as it is totally language independent. These days it is common to find JSON being used for a variety of purposes where data needs to be stored or transferred.

ETL Pipeline vs. Data Pipeline: What's the Difference?

ETL Pipeline and Data Pipeline are two concepts growing increasingly important as businesses keep adding applications to their tech stacks. More and more data is moving between systems, and this is where Data and ETL Pipelines play a crucial role. Take a comment on social media, for example. It might be picked up by your tool for social listening and registered in a sentiment analysis app.

Pushing Data to Zendesk From Your Warehouse

Data warehouses have made it easier for customers to store massive amounts of data. That information is useless, however, unless it is actionable. Making data actionable means employees can use the data for decision-making and improving the user experience. In this article, we’ll discuss reverse ETL, pushing data to Zendesk from your warehouse, and the value of this process.

5 Enterprise Resource Planning (ERP) Trends that Accelerate Digital Transformation

As businesses advance their digital transformation efforts, enterprise resource planning (ERP) systems are evolving — arguably as significantly as the shift from materials resource planning (MRP) to ERP. Just as businesses reimagined operations by leveraging advances in hardware and software in the 1980s, they’re now turning to next-generation ERP.