Jet Global
JUNE 21, 2023
While trying to do more with less, accounting and finance pros are taking longer to get work done, overlooking automation and technology as a potential solution RALEIGH, N.C. In 2022, despite continued economic headwinds, finance teams were optimistic about the future and preparing for growth.
Jet Global
APRIL 12, 2023
Surveying global decision-makers in finance, IT, and operations, results showed that 71% of IT departments are spending an entire day each week generating recurring operational reports. When analyzing the relationship between IT and Finance, 63% of IT decision makers find that finance is either very- or over-reliant on the IT department.
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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. The synthetic data generator service in watsonx.ai
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. Surveys show a mixed executive outlook, indicating a level of uncertainty about what to expect.
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.
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