DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

CIO Business Intelligence

MARCH 24, 2023

The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

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. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. These needs are then quantified into data models for acquisition and delivery.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. Top Five: Benefits of An Automation Framework for Data Governance. The Benefits of Data Governance Automation.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

erwin

MAY 1, 2023

erwin by Quest provides a comprehensive suite of automation, data modeling, data intelligence, and data governance capabilities to data vault teams. Leveraging erwin Data Modeler by Quest, erwin Data Vault Automation provides companies with the needed flexibility to incorporate a wide variety of data sources into a scalable 2.0-enabled

Cost-Benefit 52

Cost-Benefit Data Governance Metadata Data-driven 52

Ontotext

FEBRUARY 14, 2024

CEEL is an end-to-end transformer-based model that includes mention detection and uses entity types and entity descriptions to perform entity linking. Out of the box, the model links to Wikidata IDs. That’s why such models must use context in order to differentiate between entities, just as humans do.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. As new data appears, you will have to continuously fine-tune or further train the model.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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. Your model was accurate yesterday, but what about today? How can I get a better model fast?

Metrics 145

Metrics Statistics Modeling Data Science 145

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

Cloudera

AUGUST 31, 2021

Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. Consideration of both data & metadata in the migration. All rights reserved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. It has been suggested that their Falcon 9 rocket has lowered the cost per kilo to $2,720. Once that is done, data can be transformed and enriched with metadata to facilitate analysis. Knowledge graphs help with data analysis in a number of ways.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Domino Data Lab

OCTOBER 1, 2020

This process of creating duplicate versions of the data not only takes a lot of time (typically months) and increases storage costs (which quickly add up when talking about petabytes of data), but also becomes a management nightmare. PII, PHI, etc). So what does this look like? client('s3') obj = s3.get_object(Bucket='clinical-trials',

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Ontotext

MARCH 18, 2020

The knowledge graph model is one way of doing it and, not surprisingly, it has been in increasing demand in the last decade. The GraphQL user-centric API exposes an additional interface to start consuming complex information fast and at a low cost.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

O'Reilly on Data

JULY 28, 2020

You must detect when the model has become stale, and retrain it as necessary. The Marketing team built the first model, but because it was from marketing, the model optimized for CTR and lead conversion. Nonetheless, building a superior feature pipeline or model architecture will always be worthwhile.

Marketing 362

Marketing Experimentation Metrics Testing 362

Octopai

OCTOBER 5, 2021

With tens of thousands of data assets at a minimum – and upwards of a million in large organizations – manual labor is just not cost-effective or realistic without the catalog quickly becoming stale and irrelevant. that have yet to be documented in any of the BI tools. Total cost of ownership (TCO).

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

AWS Big Data

APRIL 17, 2024

In order to provide these benefits, OpenSearch is designed as a high-scale distributed system with multiple independent instances indexing data and processing requests. Other customers require high durability and as a result need to maintain multiple replica copies, resulting in higher operating costs for them.

Optimization 113

Optimization Snapshot Metadata Cost-Benefit 113

AWS Big Data

APRIL 2, 2024

We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock. Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case.

Metadata 87

Metadata Metrics Data-driven Modeling 87

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important? What Is a Data Model?

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

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. Here’s what’s involved in making that happen.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Ontotext

FEBRUARY 26, 2024

If one can figure out how to effectively reuse rockets, just like airplanes, the cost of access to space will be reduced by as much as a factor of a hundred.” ” Elon Musk SpaceX succeeded in building reusable rockets, drastically reducing the cost of sending them into orbit or taking astronauts to the International Space Station.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Alation

APRIL 6, 2023

Other forms of governance address specific sets or domains of data including information governance (for unstructured data), metadata governance (for data documentation), and domain-specific data (master, customer, product, etc.). Simply put, metadata adds context. Data catalogs and spreadsheets are related in many ways.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

IBM Big Data Hub

MAY 9, 2023

The answer is that generative AI leverages recent advances in foundation models. Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

APRIL 11, 2024

In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. Bolster development teams by inviting diverse, multidisciplinary teams to join them in these workshops as they assess ethics and model risk.

Risk 78

Risk Consulting Modeling Data Processing 78

erwin

AUGUST 28, 2020

What Are the Key Benefits of Data Governance? Effectively communicating the benefits of well governed data to employees – like improving the discoverability of data – is just as important as any policy or technology. What Are the Key Benefits of Data Governance? Why Is Data Governance Important?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise. IBM watsonx.ai

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

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. With the vector engine, you don’t have to worry about sizing, tuning, and scaling the backend infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

Alation

JANUARY 17, 2023

In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Are the Benefits of a Modern Data Stack? What Is the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

JULY 25, 2023

In the event of data loss, Alcion customers need to search metadata for the backed-up items (files, emails, contacts, events, and so on) to select specific item versions for restore. To reduce costs and operational burden, the team turned to OpenSearch Serverless, which offers auto-scaling capability.

Cost-Benefit 71

Cost-Benefit Modeling Management Optimization 71

Cloudera

NOVEMBER 13, 2020

Data science experiment result and performance analysis, for example, calculating model lift. Impala’s planner does not do exhaustive cost-based optimization. Metadata Caching. The new Catalog design means that Impala coordinators will only load the metadata that they need instead of a full snapshot of all the tables.

Optimization 142

Optimization Metadata Statistics Cost-Benefit 142