12 KPIs and Metrics to Include in a Revenue Cycle KPI Dashboard to Measure Success
Which metrics should you be tracking in a revenue cycle KPI dashboard? Here are the ones necessary for assessing your financial health at a glance.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Analytics
Exporting data from Countly through DB Viewer
DB Viewer is a plugin that provides a UI to browse databases. But it is also a great option to access Database data through REST API, for example, to export data. In this article, we will explain how to navigate the data scheme and find all the needed information to export events and their granular data from Countly. Let's say you have some other database, and you want to populate it with data from Countly. Or you just want to prepare some kind of report through a third-party application.
LLM ChatBot Augmented with Enterprise Data
This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.
Customer 360 for Sports and Gaming Fans: The Data Science Best Practices You Need to Know
Sports and gaming companies are forging ahead with the use of data science as a competitive differentiator. According to an industry report, the global AI in media and entertainment market size was valued at $10.87 billion in 2021 and is estimated to grow 26.9% annually until 2030.
MLOps for Generative AI with MLRun
The influx of new tools like ChatGPT spark the imagination and highlight the importance of Generative AI and foundation models as the basis for modern AI applications. However, the rise of generative AI also brings a new set of MLOps challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this 9 minute demo video, we share MLOps orchestration best practices and explore open source technologies available to help tackle these challenges.
Cloud Data Warehouse: A Comprehensive Guide
With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.
Onboarding - Part 2
00:00 - Intro
01:29 - Remotely Executing Task
06:49 - Model Repository
09:10 - Workers and Queues
17:27 - Workers on K8s
19:14 - Pipelines
31:20 - Triggerscheduler
39:05 - Github CI/CD Templates
39:36 - Outro
10 AWS Data Lake Best Practices
A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.
Conceptual vs logical vs physical data models
Data modeling is not about creating diagrams for documentation sake. It’s about creating a shared understanding between the business and the data teams, building trust, and delivering value with data. It’s also an investment. An investment in your data systems' stability, reliability, and future adaptability. Like all valuable initiatives, it will require some additional effort upfront.
The Modern Data Ecosystem: Use Managed Services
When monitoring cloud resources, there are several factors to consider.