2022 Cost-Benefit Document Metadata 
Octopai
AUGUST 26, 2021
Data catalogs are based on metadata – the data about your data, and all that metadata is used to populate your data catalog (which some consider to also be a metadata catalog). How do you collect the relevant metadata and get it where it needs to go? Metadata can change. It’s time to go harvesting.
AWS Big Data
MAY 31, 2024
This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Based on metadata, content is returned from Amazon S3 to the user.
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DataRobot Blog
SEPTEMBER 1, 2022
The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. 1 IDC, MLOps – Where ML Meets DevOps, doc #US48544922, March 2022. Request a Demo.
Andrew White
JANUARY 9, 2022
On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? We will publish a new Top Trends for D&A for 2022 in a couple of months. The last item should be updated in 2022.
AWS Big Data
JUNE 9, 2023
A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. For updates, previous versions of the old values of a record may be retained until a similar process is run.
CIO Business Intelligence
JUNE 12, 2024
Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data. Plus, it costs more money.
IBM Big Data Hub
OCTOBER 12, 2023
The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.
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