Research

Migrating Analytics to the Cloud: It’s About Time

By David Macdonald, Robert Morison, Sep 26, 2018

Available to Research & Advisory Network Clients and Professional Members

More business applications, including both everyday and advanced analytics, are moving to cloud-based platforms. They seek the advantages of agility, innovation, and cost-effective high performance. But many cloud migrations fail to gain all these potential benefits. To maximize the performance and value of analytics in the cloud, weigh the options, and choose the right approach to migration.

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Last week, IIA attended the O’Reilly Strata Data Conference (@StrataData) in New York City. The conference tagline was “Make Data Work” and it provided a comprehensive overview of continued innovation in the big data and analytics ecosystems. In this blog, VP David Alles covers the top seven highlights from the conference.

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Cutting Through the Hype of Artificial Intelligence, Part 2

By Bill Franks, Sep 19, 2018

Available to Research & Advisory Network Clients Only

Artificial Intelligence (AI) is one of the hottest topics in the analytics space today. Within a two- to three-year span, AI went from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell artificial intelligence a few years ago are now charging full steam ahead in pursuit of AI initiatives. In many ways, this is a good thing. After all, AI is quite powerful and has the ability to drive tremendous value if applied appropriately. However, this attention also has some negative consequences. Most notably, the topic of AI is so full of hype today that many organizations are struggling to separate what is real and achievable from what is pure hype and wishful thinking.

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Three More Reasons to Embrace Automated Machine Learning

By Thomas H. Davenport, Jul 19, 2018

Automated machine learning is good for your company’s analytics function. AutoML has the potential to transform not only machine learning, but the practice of analytics in general. This blog discusses the benefits of AutoML in three different categories.

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Inquiry Response: Distinguishing Hype from Valuable AI Technology

By IIA Expert, Jul 05, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

AI vendors reach out to us all the time. Our focus is on Natural Language Processing (NLP). How do we distinguish between AI hype and valuable AI technology?

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Inquiry Response: Tackling the Data Trust Issue

By IIA Expert, Jul 03, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

One of our analytics challenges centers around data lineage and trust. People question where the source data came from and whether it’s trustworthy, which results in time-consuming traceability exercises to translate our results into terms that the end user can relate to. Is there a technological solution that can trace data lineage and reconcile data sources?

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Inquiry Response: The Potential For Augmented Reality Wearables

By IIA Expert, Jun 25, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re in the research phase for using augmented reality and right now are especially interested in wearable (hard hat) tech for employees in the field. What should we be thinking about and what is the right way to get this effort off the ground with the business units?

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Data Science Engineering

By David Alles, Jun 20, 2018

Available to Research & Advisory Network Clients Only

Reflections from Strata Data Conference 2018 and the emergence of data science engineering

The complexity of deploying advanced analytics and artificial intelligence (AI) into production is changing the nature of analytics and data science. As the size of data continues to expand and the pace of innovation accelerates, new roles are emerging. While advances in AI continued to headline the discussion at O’Reilly’s most recent Strata Data Conference (San Jose, March 5 – 8, 2018), the emergence of data science engineering as a new discipline is a clear trend and the primary focus of this brief. The objective of this report is to highlight and summarize the themes and trends supporting the emergence and importance of data science engineering. This report features a mix of unique IIA perspectives coupled with supporting thoughts from Strata presenters. This report also builds on key takeaways from our last 18 months of technology conference coverage

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Why Google Duplex Did Not Pass the Turing Test

By Bill Franks, Jun 14, 2018

Recently, a lot of press was given to Google’s Duplex Artificial Intelligence (AI) bot. The Duplex bot calls businesses, such as a restaurant, on your behalf and makes a reservation. We’re going to save for another day the potential ethical issues raised by AI bots fooling people into believing they are talking to a person. Instead, let’s focus on whether or not Duplex has successfully passed the Turing test as some have suggested.

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Cutting Through the Hype of Artificial Intelligence, Part 1

By Bill Franks, May 30, 2018

Available to Research & Advisory Network Clients Only

Artificial Intelligence (AI) is one of the hottest topics in the analytics space today. Within a two to three year span, AI went from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell Artificial Intelligence a few years ago are now charging full steam ahead in pursuit of AI initiatives. In many ways, this is a good thing. After all, AI is quite powerful and has the ability to drive tremendous value if applied appropriately. However, this attention also has some negative consequences. Most notably, the topic of AI is so full of hype today that many organizations are struggling to separate what is real and achievable from what is pure hype and wishful thinking. This is the first of a two-part series on Artificial Intelligence. This brief will examine some critical aspects of AI to understand in terms of where the market is a bit over-exuberant and also how AI works in reality. It will also cover some strengths and pitfalls to be aware of.

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