Research

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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Profit and Loss (P&L) statements permeate businesses due to the need to track how a business is performing at overall, business unit, and even project-by-project levels. This blog raises a question: why shouldn’t an analytics plan be expected as a part of the business plan for any major initiative just like a P&L is?

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Data-savvy hybrid professionals are needed because AI-based task automation can lead to the transformation of jobs in many domains, including the law. These transformed jobs encompass a new mix of tasks, requiring regular interaction with intelligent machines and the underlying data. Who will fill these transformed jobs and new jobs in the law?

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Organizing Analytics: Your Questions Answered

By Robert Morison, Jun 27, 2018

During the Organizing Analytics Teams webinar, Bob Morison and Bill Franks discussed organizational models and techniques for analytics groups. Interest was high and more questions came in than we had time to cover completely. This blog covers nine of the unanswered ones.

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Turning PhD’s into Data Scientists…in 7 weeks

By Jack Phillips, Jun 21, 2018

It’s no surprise that many of the inquiry questions IIA receives from research clients relate to analytics and data science talent. Where should we be looking? How do we attract the candidates? How much should we be paying? And, once we have recruited the talent, how do we keep the work interesting enough so they stay around?

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Don’t Be Hit by the Analytics Backlash

By Thomas H. Davenport, Jun 19, 2018

Analytics leaders and practitioners need to be prepared both to defend analytics and AI where appropriate, ensure that you’re not contributing to issues like how to prevent algorithmic bias, what industries would be least likely to do harm with analytics, and how to reduce the societal damage from AI.

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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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There are two serious crises looming over our workforce at present. The one getting all the attention is the threat of artificial intelligence to eliminate vast numbers of jobs. The one lurking in the corners is a pervasive lack of engagement among workers from all sectors of the economy. What people are neglecting to note is that the two are related.

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How to Outflank the Competition With Analytics

By Thomas H. Davenport, May 24, 2018

CIOs can help drive business value by following the lead of high-performing companies that use advanced analytical techniques and data-driven insights to rise above their competitors.

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In this context, BI is a highly evolved form of decision support software whereas OI is an emerging next-generation form of digital automation. And that is a very big difference indeed.

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