BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Furthermore, due to their relative simplicity in model structure, these models were very straightforward to interpret. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

Domino Data Lab

AUGUST 10, 2021

This change makes models the new currency of competitive advantage, strategy, and growth. PyTorch: used for deep learning models, like natural language processing and computer vision. It’s used for developing deep learning models. Deep Learning: designed to replicate the structure of the human brain.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Understanding how certain types of events have historically affected their stock prices can guide future business decisions and communication strategies.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

DataRobot Blog

SEPTEMBER 13, 2022

How can they help you determine strategy and attain your business goals? Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. These might include—but are not limited to—deep learning, image recognition and natural language processing. What Do Data Scientists Do?

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

DataRobot Blog

DECEMBER 20, 2022

For example, just to name the business of asset managers is generally dependent on these (but not limited to) four fundamentals : Accurately estimating the current asset’s price and rent. Automating and optimizing their investment strategy. This also would help them to automate their investment and development strategy.

Management 59

Management Machine Learning Optimization Modeling 59