Domino Data Lab

MARCH 20, 2019

Models are so different from software — e.g., they require much more data during development, they involve a more experimental research process, and they behave non-deterministically — that organizations need new products and processes to enable data science teams to develop, deploy and manage them at scale.

Management 97

Management Experimentation Data Science Modeling 97

Ontotext

JANUARY 10, 2025

Through iterative experimentation, we incrementally added new modules refining the prompts. You can use the Ontotext Metadata Studio (OMDS) to integrate any NER model and apply it to your documents to extract the entities you are interested in. Prompting The quality of GenAI outputs is heavily influenced by how prompts are formulated.

Informatics 59

Informatics Modeling Metadata Experimentation 59

AWS Big Data

JANUARY 24, 2023

The utility for cloning and experimentation is available in the open-sourced GitHub repository. This solution only replicates metadata in the Data Catalog, not the actual underlying data. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access.

Data Architecture 93

Data Architecture Metadata Data Lake Snapshot 93

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. While the promise of AI isn’t guaranteed and doesn’t always come easy, adoption is no longer a choice.

Metadata 97

Metadata Risk Management Risk Experimentation 97

DataRobot Blog

MARCH 16, 2023

Collaborative Experimentation Experience – the new experience, called the Workbench, comes packed with new capabilities such as new integrated data prep for modeling and notebooks providing a full code-first experience. New Snowflake integrations and the SAP joint solution have tightened the data to experimentation to deployment loop.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

Sisense

JULY 24, 2019

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. There are many activities going on with AI today, from experimental to actual use cases.

Analytics 89

Analytics Experimentation Metadata Big Data 89

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia).

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

DECEMBER 10, 2024

For example, our employees can use this platform to: Chat with AI models Generate texts Create images Train their own AI agents with specific skills To fully exploit the potential of AI, InnoGames also relies on an open and experimental approach. In addition to the vectors, contextual headings are added to each chunk.

Data-driven 98

Data-driven Metadata Interactive KPI 98

AWS Big Data

MAY 24, 2023

The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation. After you restore the objects back in S3 Standard class, you can register the metadata and data as an archival table for query purposes. show() The snapshots that have expired show the latest snapshot ID as null.

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 86

Metadata Data Lake Optimization Strategy 86

CIO Business Intelligence

MARCH 21, 2022

It doesn’t conform to a data model but does have associated metadata that can be used to group it. Quantitative analysis: Quantitative analysis improves your ability to run experimental analysis, scale your data strategy, and help you implement machine learning. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Domino Data Lab

JUNE 13, 2019

2018 , 2019 ], the rediscovery of the 50,000 lost MNIST test digits provides an opportunity to quantify the degradation of the official MNIST test set over a quarter-century of experimental research.” . “In the same spirit as [Recht et al., ” They also were able to.

Testing 83

Testing Data Science Experimentation Metadata 83

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice.

Metadata 71

Metadata Risk Experimentation Dashboards 71

Occam's Razor

APRIL 8, 2013

Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models. Advanced Analytics Big Data Digital Analytics Web Analytics Web Insights Web Metrics actionable analytics business optimization experimentation and testing key performance indicators'

Metrics 157

Metrics Analytics KPI Key Performance Indicator 157

O'Reilly on Data

MARCH 23, 2023

But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means. In itself, attention is a big step forward—again, “attention is all you need.”

IT 348

IT Modeling Testing Risk 348

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data. Certainly not!

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Ontotext

MARCH 29, 2021

Vassil Momtchev: RDF-star (formerly known as RDF*) helps in every case, where the user needs to express a complex relationship with metadata associated for a triple like: 1. << Technically speaking, RDF-star is the syntactic sugar, which makes it easier to attach metadata to edges in the graph. source :TheNationalEnquirer ; 3.

Metadata 59

Metadata IT Modeling Experimentation 59

AWS Big Data

MAY 2, 2023

Removal of experimental Smart Sensors. If you plan to migrate existing metadata from your previous environments to the new one, perform the export and import steps detailed in Migrating to a new Amazon MWAA environment. Apache Airflow v2.4.3 has the following additional changes: Deprecation of schedule_interval and timetable arguments.

Testing 130

Testing Experimentation Management Metadata 130

CIO Business Intelligence

MARCH 6, 2023

Previous tasks such as changing a watermark on an image or changing metadata tagging would take months of preparation for the storage and compute we’d need. “What we’ve seen from the cloud is being able to adapt to the complexities of different data structures much faster,” Frazer points out. Now that’s down to a number of hours.”

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

AWS Big Data

JUNE 12, 2024

By using infrastructure as code (IaC) tools, ODP enables self-service data access with unified data management, metadata management (data catalog), and standard interfaces for analytics tools with a high degree of automation by providing the infrastructure, integrations, and compliance measures out of the box.

Data Architecture 116

Data Architecture Cost-Benefit Data-driven Experimentation 116

Cloudera

FEBRUARY 16, 2022

SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. Further auditing can be enabled at a session level so administrators can request key metadata about each CML process. Figure 03: lineage.yaml.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. This functionality was initially released as experimental in OpenSearch Service version 2.4, and is now generally available with version 2.9.

Visualization 119

Visualization Cost-Benefit Modeling Machine Learning 119

AWS Big Data

JULY 20, 2023

Additionally, partition evolution enables experimentation with various partitioning strategies to optimize cost and performance without requiring a rewrite of the table’s data every time. Metadata tables offer insights into the physical data storage layout of the tables and offer the convenience of querying them with Athena version 3.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Cloudera

APRIL 9, 2019

For example, if you want to optimize for agility and experimentation, you probably will be better off doing so with an ephemeral public cloud infrastructure. An integrated suite of data management and analytics tools in a single platform enables cost-effective delivery of complex, multiple use cases and thus reduces overall TCO.

Strategy 54

Strategy Experimentation Business Objectives Metadata 54

Sanjeev Mohan

FEBRUARY 6, 2019

In GCP, I haven’t yet seen an integrated native cloud suite able to perform functions of business glossary, data discovery, business metadata management, data catalog, data quality and lineage, but it’s an area I expect to hear more on soon.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Comprehensive metadata that supports data product and process organization. The identification and categorization that enables effective search is based on metadata.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

IBM Big Data Hub

JANUARY 17, 2023

The automated metadata generation is essential to turn a manual process into one that is better controlled. AI is no longer experimental. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. Start a trial. Data science and MLOps.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

AWS Big Data

JULY 3, 2023

With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time. Buy Experimentation findings The following table shows Sharpe Ratios for various holding periods and two different trade entry points: announcement and effective dates.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. We recognize that many of you are in the experimentation phase and would like a more economical option for dev-test.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Cloudera

JANUARY 11, 2021

Experimental and production workloads access the same data without users impacting each others’ SLAs. Shared Data Experience (SDX), a shared persistent layer of access models, lineage-audit trace, and all metadata, is the key to the Cloudera data lake implementation. High performance. Centralized security and governance.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Machine Learning 63

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

AUGUST 5, 2024

While getting there may not be as easy as firing up ChatGPT and asking it to identify at-risk patients or evaluate patient medical history to gauge whether or not it is safe for them to receive an experimental new therapy, the technology is transforming the way care is delivered. To learn more, visit us here.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

CIO Business Intelligence

FEBRUARY 14, 2024

The other problem is gen AI tools and users not seeing information that should be included because the metadata tagging and sensitivity labels haven’t been correctly applied to the data. Do you want to have an even more powerful search capability with AI in your data, and to be unsure about how you’ve organized that data?”

IT 143

IT Metadata Data-driven Management 143