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An Intelligent Future for Manufacturing

CIO Business Intelligence

FAW’s new Technology Innovation Space is a smart industrial campus for testing intelligent and New Energy Vehicles (NEV). Another leading manufacturer, BYD , first entered the automotive market in 2003. The company has since sold over four million NEVs and in 2022 became the top seller among NEV brands worldwide.

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Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

For example in 2003, when I visited Zagreb in Croatia for the first time – they had mobile phone text based payment for car parking. He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. This is not a new observation.

Testing 53
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Top DevOps Trends that Will Matter in 2020 For Your Business

Smart Data Collective

Those are: Continuous Development Approach Collaborative Development Ongoing Testing Continuous Release and Deployment Continuous Monitoring Collaborative Customer Feedback and Optimization. The most powerful players in the service mesh market are Istio, Consul, and Linkerd. Observability.

Software 101
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Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

What happens if diversity is reduced to marketing, and the inclusion piece is forgotten? What happens if a diversity issues bumps up against a marketing issue, for example? It can provide you with a competitive advantage, which can bring you closer to the market and perhaps even get to the market first.

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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). Experimentation & Testing : Google Website Optimizer, Offermatica, Optimost etc. ." Ok let me explain. Two New, Interesting & Non-Obvious Tools.

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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. Where R is the realized return of a stock, F is the return on a risk-free asset such as a US treasury bill, M is the realized return of a market portfolio such as the S&P 500, ? on average.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. If the alternate model is plausible with a small probability, then we’d like to see that the “stress test” forecast scenario still falls inside the prediction interval generated from our preferred model.