O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. Proper AI product monitoring is essential to this outcome.

Management 243

Management Metrics Machine Learning Modeling 243

IBM Big Data Hub

FEBRUARY 22, 2024

However, the roadblocks to scaling, adopting, and realizing the full potential of AI in the DoD are similar to those in the private sector. A recent IBM survey found that the top barriers preventing successful AI deployment include limited AI skills and expertise, data complexity, and ethical concerns.

Metadata 99

Metadata Measurement Risk Modeling 99

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. Data poisoning attacks.

Modeling 221

Modeling Machine Learning Predictive Modeling Consulting 221

Cloudera

APRIL 13, 2021

Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. We then translate those real-world requirements to practical workflows, products, and best practices that help you quickly get to production and scale AI use cases across your business.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 79

Machine Learning Modeling Deep Learning Predictive Modeling 79

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. An OLAP database is best for situations where you read from the database more often than you write to it. roll-ups of many rows of data).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78