IBM Journey to AI blog

JANUARY 8, 2024

According to McKinsey , digital transformation helps disparate organization functions collaborate in new and productive ways. Secure executive-level buy-in Digital transformation projects are unlikely to succeed if they are not endorsed and driven by executive leadership. The result is nearly always the same. ” Why?

Internet of Things 63

Internet of Things Cloud Computing Artificial Intelligence Artificial Intelligence 63

AWS Machine Learning Blog

SEPTEMBER 28, 2023

This reduces the average model training duration from 186 to 73 minutes and the average prediction time from 33 to 18 minutes for a typical batch of 750 time series with data size up to 100 MB. Previously, introducing incremental data required retraining the entire model, which was time-consuming and caused operational delays.

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AWS Machine Learning Machine Learning ML 88

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Figure 1 – Data Catalog Implementation. See figure 1.) See figure 2.)

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

AWS Machine Learning Blog

APRIL 26, 2023

You may struggle to connect your ML technology efforts to your business value proposition, making it difficult for IT and business leadership to justify the investment it requires to operationalize models. Ensuring data quality, governance, and security may slow down or stall ML projects. Two primary customer scenarios apply.

ML 85

ML ML AWS Machine Learning 85

Google Research AI blog

FEBRUARY 28, 2023

Solving complex problems requires bringing together diverse minds and resources collaboratively. In partnership with these stakeholders, we bring our technical leadership, product footprint, and resources to make progress against some of society's greatest opportunities and challenges.

ML 72

ML ML Deep Learning Deep Learning 72

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. Hefty fines penalize data consumers who violate privacy laws, like the GDPR.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

In addition to offering them choice and—as they expect from us—breadth and depth of capabilities across all layers, customers also tell us they appreciate our data-first approach, and trust that we’ve built everything from the ground up with enterprise-grade security and privacy. Customers must acquire large amounts of data and prepare it.

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AWS AI AI ML 123

Google Research AI blog

NOVEMBER 17, 2022

Earlier this year at the ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), we published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. The Data Cards Playbook incorporates the latest in fairness, accountability, and transparency research.

ML 45

ML ML Data Governance Data Scientist 45

Google Research AI blog

JUNE 13, 2023

The predicted heatmap on the image is evaluated against ground-truth attention data , which are typically collected by an eye tracker or approximated via mouse hovering/clicking. More details can be found in our open source blog posts ( post 1 , post 2 ). a natural image or a screenshot of a webpage), and predict a heatmap as output.

Machine Learning 78

Machine Learning Machine Learning ML ML 78

AWS Machine Learning Blog

JUNE 27, 2023

This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with.

ML 91

ML ML AWS Machine Learning 91

PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. Most of the data required is already being collected (e.g., AI’s ability to connect different data sources can help identify areas where real-time interventions are needed.

Deep Learning 107

Deep Learning Deep Learning AI AI 107

AWS Machine Learning Blog

APRIL 29, 2024

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

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AWS ML ML Python 94

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69