Remove Data Collection Remove Measurement Remove Risk Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Quantification of forecast uncertainty via simulation-based prediction intervals. We conclude with an example of our forecasting routine applied to publicly available Turkish Electricity data. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet.

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered.

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The Shifting Sands of International Tax Regimes

Jet Global

Faced with such monumental potential changes, tax and transfer pricing are now front and centre of MNEs’ operational risk registers. Investing in the right skills and tools that help reduce that risk is a matter for the senior leadership team, not just tax and TP professionals. The Current Picture. Download Now.

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Communal Computing’s Many Problems

O'Reilly on Data

It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? When we consider the risk associated with an action, we need to understand its privacy implications. There is a tradeoff between the trust and risk. Source: [link].

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Product Management for AI

Domino Data Lab

These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity!