CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. What used to take a few weeks now takes a few minutes.”

Artificial Inteligence 113

Artificial Inteligence Machine Learning Big Data Data 113

CTOvision

JANUARY 26, 2015

Dive Into The Pentaho Agile Business Analytics & Data Integration Platform in Action. This brief product demo will show why more and more organizations of all sizes are turning to Pentaho to seamlessly deliver deep BI insights, quickly connect to any data source, & unlock the full potential of big data.

Big Data 103

Big Data Business Analytics Analytics Agile 103

Honeycomb

APRIL 23, 2025

Business cost drivers vs technical cost drivers The cost drivers we talked about last week, and the cost drivers as Gartner frames them, are very much oriented around the business case. All Gartner data in this piece was pulled from this webinar on cost control ; slides here.) So far, so good. This is a zero-sum game.

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

CIO

JULY 28, 2023

Engaged customers are vital to the success of any business. Analytics is central to understanding what works for your customers. But how do you get them to share actionable data? Of course, customers are willing to share data in return for better services and products. These require customer data.

Strategy 146

Strategy Development Sustainability Compliance 146

CTOvision

NOVEMBER 1, 2013

By Bob Gourley On Wednesday November 6th at 1pm EST Platfora is hosting a webinar providing details of the new Platfora Big Data Analytics platform. This webinar will be conducted by Peter Schlampp, Platfora’s Vice President of Products. From the webinar invite: Using Hadoop to Build a Fact-Based Enterprise with.

Enterprise 92

Enterprise Big Data Analytics Business Analytics 92

CTOvision

APRIL 16, 2015

Like others in the insurance industry, XL has long relied heavily on data analysis to understand and price its products. Actuarial science itself is rooted in using historical data to understand future risk and uncertainty. Minding the Analytics Gap (sloanreview.mit.edu). See “About the Research.”) Related articles.

Analytics 97

Analytics Insurance Survey Analysis 97

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. .

Insurance 105

Insurance Trends Data Artificial Inteligence 105

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data 97

Data Analytics Storage Big Data 97

Kentik

MARCH 31, 2021

Wherever your traffic goes or your data resides, you need to see and know about it. Kentik Firehose enables network observability data integration. As Kentik’s streaming API to access enriched network observability data, Kentik Firehose enables organizations to surface network data in traditional observability tools.

Meeting 64

Meeting How To WAN Network 64

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

Artificial Inteligence 84

Artificial Inteligence Machine Learning Enterprise Telecommunications 84

LaunchDarkly

JANUARY 17, 2019

This was really successful and that we could get real-world feedback, but kind of control the blast zone as it was by having only go out to certain people and having it be real-world data. You could pass us attributes from business analytics. It was from this idea that we would help people with a dark launch.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Bernd Rucker

JUNE 23, 2020

if the shipment can’t be created because the input data is corrupt, you have no context as to why this order ended up there with that wired data. Quite hard to answer, as the required data is spread across various microservices. Process events monitoring adds the business perspective on processes, implemented by event flows.

Microservices 52

Microservices Architecture Retail Examples 52