deep-learning-machine-learning-uses-in-financial-services Blog Related Topics 
O'Reilly on Data
MAY 14, 2020
This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.
DataKitchen
APRIL 13, 2021
Read the complete blog below for a more detailed description of the vendors and their capabilities. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .
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O'Reilly on Data
MARCH 20, 2019
Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.
O'Reilly on Data
OCTOBER 13, 2020
In contrast, many production AI systems rely on feedback loops that require the same technical skills used during initial development. This distinction assumes a slightly different definition of debugging than is often used in software development. The field of AI product management continues to gain momentum. Debugging AI Products.
O'Reilly on Data
NOVEMBER 28, 2023
In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. What’s the reality? Certainly not two-thirds of them.
Cloudera
JANUARY 7, 2025
Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. The terms hybrid and multi-cloud are often used interchangeably.
Cloudera
MAY 19, 2021
In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. In this tutorial, we will illustrate how RAPIDS can be used to tackle the Kaggle Home Credit Default Risk challenge. Introduction. Get the Dataset.
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