Finance Risk Statistics Uncertainty 
CIO Business Intelligence
AUGUST 14, 2023
Major finance and business information, along with sales and subcontracting documents, were processed manually and offline. Capitalizing on SAP’s in-memory database, the solution is renowned for meeting the exact challenges Huabao hoped to address navigating uncertainty and refining business results.
IBM Big Data Hub
SEPTEMBER 28, 2023
To provide even deeper domain expertise, the Granite family of models was trained on enterprise-relevant datasets from five domains: internet, academic, code, legal and finance, all scrutinized to root out objectionable content, and benchmarked against internal and external models. Users of third-party models in watsonx.ai
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CIO Business Intelligence
NOVEMBER 27, 2023
Cybersecurity risks This one is no surprise, given the scary statistics on the growing number of cyberattacks, the rate of successful attacks, and the increasingly high consequences of being breached. They’re wondering how AI technologies, such as ChatGPT and generative AI in general, will increase risks.
The Unofficial Google Data Science Blog
JANUARY 14, 2016
Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. A single model may also not shed light on the uncertainty range we actually face.
Jet Global
MAY 16, 2023
By connecting solutions across the insightsoftware portfolio, organizations can now choose the capabilities they need for effective reporting, controllership, and budgeting and planning, while improving productivity, user experience, and reducing implementation risk. Good things happen when you’re well connected.
The Unofficial Google Data Science Blog
JULY 22, 2020
One reason to do ramp-up is to mitigate the risk of never before seen arms. For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown.
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