Modeling Risk Management Technology Uncertainty 
bridgei2i
JUNE 2, 2020
Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. And then there’s uncertainty on when this will come back to normal, what will it settle down as, etc. PODCAST: COVID 19 | Redefining Digital Enterprises.
CIO Business Intelligence
JUNE 23, 2023
Determining the right mix of technologies and methodologies to support an entire organization can be overwhelming – and can keep IT leaders up at night. An astounding 93% of respondents noted they strongly agree with the sentence, “I believe my organization needs to embrace a hybrid infrastructure model that spans from mainframe to cloud.”
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O'Reilly on Data
JANUARY 22, 2019
An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.
CIO Business Intelligence
JANUARY 11, 2024
CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.
Jet Global
MAY 11, 2021
May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support. RALEIGH, N.C. – Finance Team’s Role & Challenges.
DataRobot
JULY 16, 2021
Transformative technologies such as autonomous vehicles will be possible only when there are clear methods and benchmarks to establish trust in AI systems. The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?”
CIO Business Intelligence
SEPTEMBER 20, 2023
To do so, CIOs must continuously improve their product management, program management, and delivery capabilities to wow customers and deliver competitive advantages, all while steering clear of surefire DX mistakes such as prioritizing too many initiatives and underinvesting in developing digital trailblazers.
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