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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage.

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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Unfortunately, implementing AI at scale is not without significant risks; whether it’s breaking down entrenched data siloes or ensuring data usage complies with evolving regulatory requirements. Similarly, in 2017 Equifax suffered a data breach that exposed the personal data of nearly 150 million people.

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Deepfakes Security Risks

KDnuggets

Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently.

Risk 122
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Scaling AI talent: An AI apprenticeship model that works

CIO Business Intelligence

AI Singapore is a national AI R&D program, launched in May 2017. AIAP in the beginning: Goals and challenges The AIAP started back in 2017 when I was tasked to build a team to do 100 AI projects. To do that, I needed to hire AI engineers. Of course, we’ve learned a lot over time about how to improve both 100E and AIAP.

Modeling 116
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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Teens and young adults are less experienced drivers and, therefore, at risk for more car accidents. Demographics. This includes: Age.

Insurance 137
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What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Risk 111
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Chart Snapshot: Fan Charts

The Data Visualisation Catalogue

Fan charts around GDP projections based on probit models of downturn risk — OECD CPI inflation projection & GDP projection for May 2017. Fan charts for pre-crisis forecasts of OECD-wide GDP growth, June 2008 forecast.