Research

Observations from AWS re:Invent

By David Alles, Dec 06, 2016

Amazon launched Amazon Web Services (AWS) 10 years ago with a similar customer-centric, expansion minded approach to information technology. Today, there is no greater force in the technology industry than AWS. AWS will collect over $13B in revenue in 2016, a 55% increase over 2015. It contributes more than 100% of the operating profits of its parent company, as the other business units operate at a loss. Well known for providing the underlying infrastructure for digital native companies like Netflix, Uber and Airbnb, AWS is now heavily targeting the enterprise IT market – specifically Big Data, BI and analytics.

Read More »

Inquiry Response: Scaling Solutions for R

By Casey Rosenthal, Dec 06, 2016

Available to Research & Advisory Network Clients Only

A Consumer Goods client was seeking recommendations on how to scale R within its team and leverage the insights for HTML integration.

Read More »

Bringing Clarity to Data Science Projects With Decision Modeling: A Case Study

By James Taylor, Dec 05, 2016

Available to Research & Advisory Network Clients and Professional Members

This leading practice brief examines an organization that is a global leader in information technology. Like many large companies, it has teams focusing on data science in organizations like marketing, engineering, supply chain, and IT. They also have a centralized business intelligence and analytics capability, shared across internal operations.

Read More »

Many times when I speak with analytics managers or business people interested in analytics, they tell me that performing some analytics on data is not the primary problem they have. “We have to get the analytics integrated with the process and the systems that support it,” they say. This issue, sometimes called “operational analytics,” is the most important factor in delivering business value from analytics. It’s also critical to delivering value from cognitive technologies – which, in my view, are just an extension of analytics anyway.

Read More »

Will Your Evolving Business Intelligence Strategy Make It or Break It?

By Andy Bitterer, Tapan Patel, Robert Morison, Nov 29, 2016

Available to Research & Advisory Network Clients Only

Business intelligence has come a long way – from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.

Read More »

Just How Smart Are Smart Machines?

By Thomas H. Davenport, Nov 22, 2016

The number of sophisticated cognitive technologies that might be capable of cutting into the need for human labor is expanding rapidly. But linking these offerings to an organization’s business needs requires a deep understanding of their capabilities.

If popular culture is an accurate gauge of what’s on the public’s mind, it seems everyone has suddenly awakened to the threat of smart machines. Several recent films have featured robots with scary abilities to outthink and manipulate humans. In the economics literature, too, there has been a surge of concern about the potential for soaring unemployment as software becomes increasingly capable of decision making. Yet managers we talk to don’t expect to see machines displacing knowledge workers anytime soon — they expect computing technology to augment rather than replace the work of humans. In the face of a sprawling and fast-evolving set of opportunities, their challenge is figuring out what forms the augmentation should take. Given the kinds of work managers oversee, what cognitive technologies should they be applying now, monitoring closely, or helping to build?

Read More »

Phone Briefing: Learnings from Strata + Hadoop World 2016

Nov 14, 2016

Available to Research & Advisory Network Clients Only

IIA attended the 10th annual Strata Hadoop World at the end of September, and observed that the size and scope of the event is reflective of Hadoop’s growth and mainstream adoption.

Read More »

I had the opportunity to hear George Moakley, formerly the Enterprise Architect and Strategic Planner at Intel, who is now one of the founders of the new Intelligence at the Edge for Supply Chain Lab at Arizona State University. George spoke to a group of executives at the CAPS Roundtable at IBM in RTP recently, and shared some of his ideas about what’s in store for the future of the IoT. George emphasized that “A different conceptual framework is required. Technology is both evolutionary and revolutionary. Evolutionary technology is about doing things better; revolutionary technology is about doing better…

Read More »

AI is from Venus, Machine Learning is from Mars

By Geoffrey Moore, Oct 20, 2016

The rise of cloud computing brings with it the promise of infinite computing power. The rise of Big Data brings with it the possibility of ingesting all the world’s log files. The combination of the two has sparked widespread interest in data science as truly the “one ring to rule them all.” When we speculate about such a future, we tend to use two phrases to describe this new kind of analytics—artificial intelligence (AI) and machine learning. Most people use them interchangeably. This is a mistake.

Read More »

2016 Analytics Symposium Summary

By Daniel Magestro, Oct 13, 2016

Available to Research & Advisory Network Clients Only

On September 27, IIA hosted the 2nd Analytics Symposium of 2016 at the State Room in Boston, MA. We welcomed a record number of IIA clients, industry experts, faculty and guests for a day of lively conversation, best-practice sharing and lessons learned.

Read More »