Ontotext

FEBRUARY 16, 2023

An area of AI that Ontotext has been working on for over 20 years is text analytics. This data can then be easily analyzed to provide insights or used to train machine learning models. In text analytics, the human benchmark is a set of documents manually annotated by human experts. What Is A Human Benchmark?

Metadata 59

Metadata Measurement Metrics Modeling 59

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

Alation

FEBRUARY 13, 2020

Earlier this month in London, more than 1,600 data and analytics leaders and professionals gathered for the Gartner Data & Analytics Summit. Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. Cloudera Machine Learning.

Machine Learning 81

Machine Learning Metadata Testing Data Science 81

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? Automated Data Discovery.

Metadata 52

Metadata Management Data Processing Machine Learning 52

AWS Big Data

FEBRUARY 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Choose the table to view the schema and other metadata.

Metadata 77

Metadata Data Lake Machine Learning Management 77

Alation

MARCH 17, 2021

Key Features of a Machine Learning Data Catalog. At the center of this innovation are machine learning data catalogs (MLDCs). Unlike standalone tools, machine learning data catalogs have features like: Data search. Machine learning improves the functionality of each feature. Data stewardship.

Machine Learning 52

Machine Learning Metadata Data Governance Interactive 52

Smarten

JANUARY 30, 2024

Business users cannot even hope to prepare data for analytics – at least not without the right tools. Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ So, why is there so much attention paid to the task of data preparation? It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

Analytics Vidhya

SEPTEMBER 17, 2022

Any type of contextual information, like device context, conversational context, and metadata, […]. The post Underlying Engineering Behind Alexa’s Contextual ASR appeared first on Analytics Vidhya. However, we can improve the system’s accuracy by leveraging contextual information.

Metadata 368

Metadata Statistics Data Science Publishing 368

Cloudera

AUGUST 17, 2022

What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Analytics 115

Analytics Data-driven Machine Learning Data Science 115

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Let’s dive into the highlights.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

CIO Business Intelligence

APRIL 30, 2024

Tableau pitched its unveiling of Tableau Pulse last year as the harbinger of a new era of proactive analytics. The copilot would then use the data source’s metadata and field names to provide a detailed description of the data, enabling other analysts to more easily reference the insights.

Analytics 68

Analytics Metrics Visualization Dashboards 68

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Smart content includes labeled (tagged, annotated) metadata (TAM). TAM management, like content management, begins with business strategy.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

AWS Big Data

APRIL 3, 2024

Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases. AWS provides integrations for various AWS services with Iceberg tables as well, including AWS Glue Data Catalog for tracking table metadata.

Data Lake 96

Data Lake Snapshot Metadata Data Architecture 96

AWS Big Data

APRIL 2, 2024

Amazon DataZone enables you to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Amazon DataZone uses the available metadata on the asset to generate the descriptions.

Metadata 91

Metadata Metrics Data-driven Modeling 91

Andrew White

JANUARY 12, 2021

Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed. Through 2023, up to 10% of AI training data will be poisoned by benign or malicious actors.

Analytics 144

Analytics Metadata Enterprise Data-driven 144

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. After the table is cataloged in your AWS Glue metadata catalog, you can run queries directly on your data in your S3 data lake through OpenSearch Dashboards.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

IBM Big Data Hub

OCTOBER 2, 2023

.” As they faced the issues of complexity and efficiency, Audi attempted to mitigate these problems by using analytics and other platforms. Previously, Audi was confronted with the absence of an efficiently integrated, across-the-board solution for planning and analytics.

Analytics 90

Analytics Manufacturing Uncertainty Machine Learning 90

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. For example, an ecommerce company may add new customer demographic attributes or order status flags to enrich analytics.

Snapshot 114

Snapshot Data Lake Metadata Recreation/Entertainment 114

DataRobot Blog

MARCH 9, 2022

The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. It provides 1.6 Sentiment analysis, a baseline method.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Ontotext

JANUARY 10, 2024

Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit. No matter what machine learning or graph algorithms are used, they cannot uncover dependencies if the corresponding “signals” are missing. Click To Tweet RDF or LPG or … both?

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

O'Reilly on Data

FEBRUARY 11, 2020

Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. Just 20% of organizations publish data provenance and data lineage.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 77

Metadata Data Lake Data Processing Data-driven 77

Rocket-Powered Data Science

FEBRUARY 15, 2023

Most of these rules focus on the data, since data is ultimately the fuel, the input, the objective evidence, and the source of informative signals that are fed into all data science, analytics, machine learning, and AI models. FUD occurs when there is too much hype and “management speak” in the discussions.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

MAY 24, 2022

The industry-focused products look to solve the challenges of unstructured and siloed data by combining machine learning capabilities with specific integrations that the company calls “accelerators,” while complying with a variety of regulations and data standards. Analytics for faster decision making.

Finance 126

Finance Management Metadata Data Quality 126

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

Data Warehouse 100

Data Warehouse Machine Learning Data-driven Data Lake 100

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

David Menninger's Analyst Perspectives

SEPTEMBER 28, 2021

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets.

Data Governance 349

Data Governance Metadata Software Management 349

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 207

Deep Learning Machine Learning Data Science Metadata 207

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 327

Management Machine Learning Experimentation Metrics 327