David Menninger's Analyst Perspectives

SEPTEMBER 20, 2018

All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.

Analytics 107

Analytics Software Optimization Data Governance 107

Bruno Aziza

SEPTEMBER 17, 2018

Now more than ever, businesses are deploying machine learning to drive business results. Learn about the state of machine learning in business today.

Machine Learning 111

Machine Learning 111

IBM Big Data Hub

SEPTEMBER 17, 2018

Data application resiliency is high on the agenda for CIOs. Gary Brunell from IBM looks at the in-house solution developed by Hotels.com, and how the IBM Big Replicate offering compares.

Strategy 73

Strategy 73

MLWhiz

SEPTEMBER 21, 2018

We all know about the image classification problem. Given an image can you find out the class the image belongs to? We can solve any new image classification problem with ConvNets and Transfer Learning using pre-trained nets. ConvNet as fixed feature extractor. Take a ConvNet pretrained on ImageNet, remove the last fully-connected layer (this layer’s outputs are the 1000 class scores for a different task like ImageNet), then treat the rest of the ConvNet as a fixed feature extractor fo

71

71

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Visualization

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. This puts new pressures on the people working behind the scenes to prepare and serve data in a consumable way to a growing audience with various levels of access credentials and technical expertise.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Here are 20 new definitions, including the first from other contributors (thanks Tenny!): Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ).

Analytics 45

Analytics Testing Data Strategy Data Integration 45

Hurwitz & Associates

SEPTEMBER 21, 2018

By Jean S. Bozman. VMware is harmonizing the traditional management style of VMware software stacks with CSP cloud provider services – making it possible for VMware to help its customer base move more quickly to cloud-enabled environments. The VMware products that support this strategy were announced at VMworld 2018 in August, 2018. The aim of VMware’s strategy for hybrid cloud and multi-cloud deployments is to provide a consistent environment – whether it runs on-premises in a data center, or o

Software 40

Software IT Strategy IoT 40

Paul Turley

SEPTEMBER 20, 2018

Following the Power BI World Tour, Seattle event on Oct 30, please join me for a full-day of deep learning. That’s right… it’s on Oct 31st so put on your Wonder Woman or Captain America costume and get ready to exercise your super powers with Power Query and Power BI!

Deep Learning 40

Deep Learning IT Business Analytics Analytics 40

CIO Business Intelligence

SEPTEMBER 17, 2018

Like many institutions of higher learning, Indiana University (IU) has been making use of business intelligence (BI) for years. But even with a wealth of data at its disposal, the university's business units struggled to transform that data into insights that could drive meaningful decisions. Its multi-year Decision Support Initiative (DSI) changed all that.

Strategy 40

Strategy Business Intelligence IT 40

IBM Big Data Hub

SEPTEMBER 17, 2018

Today’s digital enterprise needs fast and actionable insights.

Strategy 51

Strategy Management Enterprise 51

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Nutanix

SEPTEMBER 21, 2018

While Amazon Web Services (AWS) continues to dominate the public cloud market, later entrants have been gaining ground with Microsoft Azure doubling its market share last year to 13%.

Marketing 20

Marketing IT 20

Rocket-Powered Data Science

SEPTEMBER 18, 2018

When I was out for a walk recently, I heard a loud low-flying aircraft passing overhead. This was not unusual since we live in the flight path of planes landing at a major international airport about 10 miles from our home. In this case, I thought to myself that the sound seemed more directly overhead and lower than normal as well as being suggestive of a larger than average jet aircraft.

Big Data 103

Big Data Data Science Measurement Data Collection 103

Peter James Thomas

SEPTEMBER 17, 2018

This site has always had a strong flavour of both Mathematics and Science [1] ; sometimes overt as in How to be Surprisingly Popular , Toast , Data Visualisation – A Scientific Treatment , Hurricanes and Data Visualisation: Part II – Map Reading or Patterns Patterns Everywhere ; sometimes implicit as in Analogies or A Single Version of the Truth.

Machine Learning 40

Machine Learning Data Science Analytics IT 40

Smarten

SEPTEMBER 17, 2018

Is Advanced Analytics Right Easy Enough for My Business Users? The benefits of advanced data discovery do not have to be limited to data scientists or IT staff. If you choose the right data discovery tool, your business users can enjoy the benefits of confident business decisions, shared analytics and a common approach to, and understanding of, data-driven, fact-based metrics and results.

Statistics 40

Statistics Data-driven Metrics Machine Learning 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Nutanix

SEPTEMBER 18, 2018

In the pursuit of data protection, businesses nowadays face more hurdles in the security landscape than ever before. From the recent Global Data Center Survey Report, many new trends in datacenter business come as a surprise.

Reporting 20

Reporting 20