Topic: analytics

Avoiding embedded analytics bear traps

The benefits of data monetization that result from embedding analytics into applications are well known. Solutions with analytics built in let end-users efficiently and effectively use the valuable data sitting idly in systems for critical business decision making. However, few data product owners have mastered unlocking the data analytics treasure trove to create new revenue … continue reading

What you want, when you want it. Key trends in modern UX design

The year was 1997. Steve Jobs fidgeted on a stool in front of the World Wide Developer Conference, chatting with the audience: “You’ve got to start with the customer experience and work backwards to the technology. You can’t start with the technology and try to figure where you’re going to sell it. I’ve made this … continue reading

SlamData’s 4.2 release lets users understand data structure, analytics

In order to eliminate all the data preparation and mapping that comes with today’s Big Data challenges, SlamData, a data analytics company, announced 4.2 of its platform with no-code BI for NoSQL, and the ability to explore and embed interactive data reports. According to CEO of SlamData Jeff Carr, over the last eight to 10 years, … continue reading

Guest View: Machine learning analytics takes its place in IT

Today, we’re seeing more and more businesses transitioning their business critical applications that demand consistent high performance to virtual environments. This trend has created a new set of hurdles for IT teams. The shared resources and intrinsic complexity of virtual environments make finding and fixing performance issues much more difficult than in traditional environments. However, … continue reading

Databricks Serverless

Spark Summit: Databricks advances its deep learning and Apache Spark solutions

Databricks announced new plans to make working with deep learning and analytics easier for the Apache Spark community at this week’s Spark Summit in San Francisco. The company unveiled a new serverless platform, a new Apache Spark library for deep learning, and the availability of its stream processing solution. Databricks Serverless is a fully managed … continue reading

Industry Spotlight: Get insight into application usage

Developers building SaaS applications have many analytics options that can help them understand feature usage, but they struggle to do the same thing with their on-premises software.  Yet, collecting usage data from existing on-premises software is critical for their SaaS roadmap and initiatives. Revulytics bridges the gap by providing insight into packaged software, allowing developers … continue reading

Redis Labs expands enterprise capabilities

In order to expand Redis’ usage in mission-critical applications globally, Redis Labs today announced several new Redis Enterprise capabilities. These capabilities include an IoT blueprint for IoT applications, a multi-master geographically distributed Redis Enterprise, and a new zero-touch experience for Redis Enterprise Flash. The blueprint for using Redis in IoT applications consists of device support, … continue reading

Rancher Labs releases RancherOS, VMware’s intent to acquire Wavefront, and OpenBSD 6.1 — SD Times news digest: April 12, 2017

Rancher Labs has announced the general availability of RancherOS. RancherOS is the company’s simplified Linux distribution for containers. It is designed to make it easier to run containers at scale in development, test, and production. Key features include a minimalist OS, automatic configuration, simple setup, reduced footprint, and extensive platform support. “RancherOS is a minimalist … continue reading

Guest View: Racing to become an algorithmic enterprise

The latest contest facing modern business is the quest to become an “algorithmic enterprise,” the next step in the evolution of analytics. Rather than just finding insights within data lakes, an algorithmic enterprise uses insights to automate action. The shift is fundamental — we’re moving from an era of human-centric business to automation-centric business. The … continue reading

Microsoft open-sources Graph Engine

It’s now been 11 hours since Microsoft’s last major open-source release. Early this morning, the company pushed the source code for Graph Engine to GitHub. The code includes the distributed in-memory data processing engine, a strongly typed in-memory key-value store, a general distributed computation engine, and the Language-Integrated Knowledge Query (LIKQ) graph query language. In … continue reading

Amazon Go in beta, Tableau releases data education report, and Uber debuts Uber AI Labs and new acquisition—SD Times news digest: Dec. 5, 2016

Amazon has introduced a beta of Amazon Go, a 1,800 square-foot location in Seattle that uses deep learning and sensors to keep track of what people are buying. The goal of Amazon Go is to create “a new kind of store with no checkout required,” according to the company. Shopping at the Amazon Go store … continue reading

Five steps developers can follow to measure the ROI of mobile apps

With today’s hyperactive application market, it can be a challenge for today’s developers to achieve financial success. For some free mobile applications, measuring the return on investment is complex, and businesses can get caught up trying to sift through the sea of analytics tools before they even define their return on investment. Many mobile development … continue reading

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