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Analytics

How to Save Costs (& Time) on Bringing AI to Production - MLOps Live #2 - With Quadient

The session — featuring Jason Evans, Director of DXP Innovation at Quadient, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.

Git-Based CI CD for Machine Learning & MLOps - MLOps Live #3 - With Microsoft & GitHub

The session — featuring David Aronchick, Head of OSS ML Strategy at Microsoft; Marvin Buss, Azure Customer Engineer at Microsoft; Zander Matheson, Senior Data Scientist at GitHub; and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility, and data access.

How to dive into behavioral analysis by grouping your users via cohorts

A cohort is a group of users that share certain event together for a certain period of time (for example: users who make payment for the first time in the last 30 days, or added 7 friends in the last week). In other words, a cohort is a group of people with similar behavioural characteristics. Cohorts let you group your users based on their actions, such as who performed add to cart event in the last 7 days but didn’t perform checkout event. List of users who belong in a cohort is automatically kept up-to-date, and you can segment funnels, retention, user profiles, flows and drill data based on cohorts you create.

Track goal completion rates in your mobile app by using Funnels and discover user activities

Funnels are used to track the goal completion rates of a step by step path inside your application. These goals (steps) are defined as custom events in Countly and you don't need any extra/new API calls if you have already been using custom events. Countly Drill is advanced segmentation feature, available with Enterprise Edition. Drill can be very powerful when it comes to understanding segmented data. This video provides more information and shows how to use Countly Funnels and Drill.

A guide to the Enterprise Data Warehouse (EDW)

Companies use predictive and business analytics to gain an advantage over their competitors and claim a bigger share of the market. But with the accelerated proliferation of data volume, speed and variety, establishing a system to make sense of this data is posing ever-increasing challenges. Several data solutions - from databases to data lakes - have emerged to empower companies of all sizes to take over their data and use it to accelerate growth.

Good Catch: Monitoring Revenue When it Matters Most

Revenue monitoring not only involves monitoring huge amounts of data in real-time but also finding correlations between thousands, if not millions, of customer experience and other metrics. Are traditional monitoring methods capable of detecting a correlation between a drop in user log-ins and a drop in revenue as it’s happening? For many reasons, the answer is no.

Navigating A Rapidly Shifting Risk Landscape In The O&G Sector

The Oil and Gas industry is arguably more familiar with managing an array of changing risk factors than almost any other sector in the United States. The industry is used to facing strong headwinds and has proven itself adept at adjusting to often rapidly shifting business conditions, whether that is regulatory change, big fluctuations in supply and demand, or evolving security supply chain concerns.