Research

Last week I had the pleasure of meeting with two promising new(ish) data analytics companies that are worth exploring: NGDATA and Podium Data. Both have established and tested products, clear value propositions, and a strong list of initial customers.

Read More »

Deep Learning: Einstein or Savant?

By Bill Franks, Jun 08, 2017

Artificial intelligence is one of the hottest topics in analytics today. Currently the most popular member of the AI family, deep learning is solving some very difficult problems very well. Best known for image recognition, it is now being applied to a wide range of other problems. Given the success of the approach, it is easy to forgive people for thinking that deep learning is incredibly intelligent. However, once you dig into deep learning, you’ll find that as opposed to being a generally brilliant algorithm akin to Albert Einstein, it is much more akin to a savant like the famous movie character from Rain Man.

Read More »

Inquiry Response: Migrating to New Data Platforms and Data Sources

By Mark Molau, Jun 07, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’m interested to discuss methods/options for scaling analytics across our highly matrixed organization. We have done a lot of work building out our analytics strategy, but now need to get more tactical. How can we make this transition while maintaining the current systems, building future systems and constructing a bridge between the two?

Read More »

Getting Real About Autonomous Cars

By Thomas H. Davenport, Jun 01, 2017

I attended the MIT Disruption Timeline Conference on AI and Machine Learning. There was interesting content on a variety of topics, but a primary focus was on when specific AI capabilities might become generally available. One particular technology addressed was autonomous vehicles. The key question was when 50 percent of vehicles on US roads would be fully autonomous.

Read More »

Inquiry Response: Scaling Models and Expediting Run Times

By Josh Gray, May 18, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

An analytics team working with dashboards at the C-suite level would like to know how they could expedite run-time for large scale models—pulled queries into a Spark-type infrastructure.

  • Considering only SQL and dashboard queries, is a single digit response time possible? What can we expect?

  • What should be considered when using data sets that are larger than our in memory for machine learning models?

Read More »

Enhancing Decision Support Analytics in the Digital Era

By Stephan Kudyba, Thomas Ott, May 17, 2017

Available to Research & Advisory Network Clients and Professional Members

Visualization techniques enable users to overcome the tedious activity of examining detailed data corresponding to functional areas and provides them with an easy to comprehend view of performance attributes, providing timely decision support from digital resources. However, despite the advantage of robust graphics, visualization often suffers from a major limitation. As users consume information from visual platforms, they often take the next step in the decision support process, which entails inquiring as to what the factors or variables are that drive performance metrics. In other words, what is causing KPIs to move? In statistical terms, performance metrics are dependent or target variables and users quickly seek to understand the driver or independent variables that affect dependent variables.

Read More »

Less than 30% of companies have a process in place to measure the return on investment of their emerging technology projects according to a recent survey of 150 CIOs and CTOs. Too many companies still measure the performance and business value they get from IT based on the old work of IT rather than the new work of IT.

Read More »

Strata + Hadoop World 2017: Big Data and Analytics Developments from the Heart of Silicon Valley

By David Alles, Apr 24, 2017

Available to Research & Advisory Network Clients Only

Strata is a large conference covering a diverse set of data, analytics, and business topics. Tuesday (3/14/17) featured morning and afternoon tutorials (22 total with half day and full day sessions) covering a range of topics including: Developing a Modern Data Enterprise, Getting Started with TensorFlow, Architecting a Data Platform, and Determining the Economic Value of Your Data. Wednesday (3/15/17) and Thursday (3/16/17) featured keynote sessions in the morning followed by 45-minute breakout sessions until late in the afternoon. There were up to 17 breakout sessions in each session block and the conference also had an Expo Hall featuring over 150 vendors. Our objective for this report is to summarize the common themes and key trends emphasized at Strata into an easy-to-read guide that can serve as both a general reference and a resource for planning analytics initiatives. With this in mind, the report is organized into the following seven sections.

Read More »

As I have discussed in prior blogs, the focus of enterprise computing for most of the 20th century was on deploying Systems of Record, first on mainframes, then minicomputers, then client-server systems. These were and continue to be the transaction processing backbones that drive global commerce. In the first fifteen years of this century, however, we have seen a profound shift in spending emphasis away from Systems of Record, which are now in maintenance mode, and toward Systems of Engagement, the focus being on connecting with customers, partners, and employees in digitally effective ways leveraging the ubiquity of smart phones. That movement has been inside the tornado for some time now such that, while there will be a lot of money spent here over the next ten years, I think it is time to look ahead to the next wave.

Read More »

IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

Read More »