Systems | Development | Analytics | API | Testing

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Digital Transformation: What Does It Mean for Different Industries?

Digital technologies have been advancing at a breakneck pace, and companies are taking advantage in order to beat their competitors and better serve their customers. According to the 2018 “State of the CIO” report, 40 percent of IT budgets are now allocated for the express purpose of digital transformation regardless of industry. What’s more, 70 percent of companies say that they either already have a digital transformation strategy, or they’re working on putting one into place.

Federated Learning, Machine Learning, Decentralized Data

Two years ago we wrote a research report about Federated Learning. We’re pleased to make the report available to everyone, for free. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place—on smartphones, industrial sensing equipment, and other edge devices—and models are trained on-device.

How Cloudera Supports Government Data Encryption Standards

As part of our ongoing commitment to supporting Government regulations and standards in our enterprise solutions, including data protection, Cloudera recently introduced a version of our Cloudera Data Platform, Private Cloud Base product (7.1.5 release) that can be configured to use FIPS compliant cryptography.

Better Listening Through Customer Experience Insights

Snowflake connected with Margaret Sherman of Sonos at Data Cloud Summit 2020 to hear how the company is using the Data Cloud to understand customer preferences and enhance listening experiences. In a world where people are surrounded by a lot of noise, purity of sound in music and other content we seek out in the comfort of our homes can offer a welcome respite. There are lessons to be learned from a company reinventing home audio for today and tomorrow—and using the Data Cloud to do it.

Democratizing Machine Learning Capabilities With Qlik Sense and Amazon SageMaker

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using an in-memory engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy. But, for many years, organizations have only been able to analyze metrics or KPIs of “what has happened” (i.e., descriptive analytics).

Democratizing Machine Learning Capabilities With Qlik Sense and Amazon SageMaker

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using an in-memory engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy. But, for many years, organizations have only been able to analyze metrics or KPIs of “what has happened” (i.e., descriptive analytics).

How Papa John's Fast-Tracked External API Innovation With Kong

To keep pace with the company’s rapidly growing menu innovation strategy and expansion to digital channels, elevating the API strategy became a priority at Papa John’s. Learn how the team reduced time to market and enabled API innovation with the growing list of external channels. This session will discuss deploying Kong in a hybrid environment, making use of the Kong Developer Portal and integrating to a CI/CD pipeline to automate deployments.

Outlier Detection: The Different Types of Outliers

Time series anomaly detection is a tool that detects unusual behavior, whether it's hurtful or advantageous for the business. In either case, quick outlier detection and outlier analysis can enable you to adjust your course quickly, before you lose customers, revenue, or an opportunity. The first step is knowing what types of outliers you’re up against. Chief Data Scientist Ira Cohen, co-founder of Autonomous Business Monitoring platform Anodot, covers the three main categories of outliers and how you'll see them arise in a business context.