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To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. It is a predictable economic risk. Amazon’s advertising business is a case in point.

Risk 220
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5 Things You Didn’t Know About FDA Data-Driven Software Validation

Smart Data Collective

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. What is FDA Software Validation and How Does Data Analytics Come Into Play?

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The road to Software 2.0

O'Reilly on Data

Roughly a year ago, we wrote “ What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Are we seeing the first steps toward the adoption of Software 2.0?

Software 261
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Understanding New Data-Driven Methodologies In Software Development

Smart Data Collective

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development.

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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

Metrics 117
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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO Business Intelligence

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. These include security and data privacy concerns, low-quality data, reputational risks, and immature technology, to name a few. We are talking about quality-driven software delivery methodology.

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Choosing Data-Driven Lending Software: The Complete How-to Guide

Smart Data Collective

Data analytics technology is one of the biggest reasons that things are changing faster than ever. This is one of the areas that has been fundamentally transformed by new advances in data analytics technology. Understanding the Shift Caused by Data Analytics in Digital Lending. Customers buy their cars online.