O'Reilly on Data

FEBRUARY 4, 2019

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. To that end, we also asked respondents what technologies (open source, managed services) they use for things like data storage, data management, and data processing. Data Platforms.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. Sam Charrington, founder and host of the TWIML AI Podcast.

Data Governance 74

Data Governance Strategy Enterprise Machine Learning 74

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

APRIL 13, 2021

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. . GitHub – A provider of Internet hosting for software development and version control using Git.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Domino Data Lab

JULY 2, 2019

Scale the problem to handle complex data structures. Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Data-related events to mark on your calendars: spaCy IRL , Jul 5-6, Berlin. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

JULY 9, 2019

Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization. We try all to play well with each other including data governance which is something Paco mentioned. We crowdsourced it.

Data Science 112

Data Science Machine Learning Advertising Modeling 112