AWS Big Data

SEPTEMBER 9, 2024

Financial data feeds are real-time streams of stock quotes, commodity prices, options trades, or other real-time financial data. Financial data feed providers are increasingly being asked by their customers to deliver the feed directly to them through the AWS Cloud. This solution was built by AWS Partner NETSOL Technologies.

Publishing 109

Publishing Management Snapshot Dashboards 109

AWS Big Data

MARCH 18, 2024

It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data. Subscribe to census data on AWS Data Exchange.

Data Warehouse 114

Data Warehouse Visualization Data-driven Snapshot 114

David Menninger's Analyst Perspectives

SEPTEMBER 22, 2022

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time.

Data Lake 278

Data Lake Business Intelligence Analytics IT 278

AWS Big Data

MAY 2, 2025

Through a visual designer, you can configure custom AI search flowsa series of AI-driven data enrichments performed during ingestion and search. Each processor applies a type of data transform such as encoding text into vector embeddings, or summarizing search results with a chatbot AI service.

Machine Learning 88

Machine Learning Visualization Dashboards Metadata 88

David Menninger's Analyst Perspectives

JANUARY 15, 2025

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. We use Anthropic’s Claude 2.1 foundation model (FM) in Amazon Bedrock as the LLM.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

David Menninger's Analyst Perspectives

JANUARY 21, 2025

Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. This is especially true for mission-critical workloads.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

O'Reilly on Data

JUNE 14, 2024

Miso’s cofounders, Lucky Gunasekara and Andy Hsieh, are veterans of the Small Data Lab at Cornell Tech, which is devoted to private AI approaches for immersive personalization and content-centric explorations. The platform required a more effective way to connect learners directly to the key information that they sought.

Metadata 293

Metadata Publishing Data-driven Modeling 293

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

APRIL 30, 2025

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

IT 139

IT Sales Cost-Benefit Data-driven 139

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

Smart Data Collective

JANUARY 5, 2021

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. These are all great reasons to use big data in marketing. But for accurate modeling, you need lots of reliable data. What is Social Media Data?

B2B 144

B2B Sales Big Data Marketing 144

TDAN

AUGUST 3, 2021

Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization.

Machine Learning 145

Machine Learning Modeling Analytics IT 145

AWS Big Data

APRIL 26, 2023

Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub.

Forecasting 145

Forecasting Manufacturing Data Lake Big Data 145

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. I suggest that the simplest business strategy starts with answering three basic questions: What?

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

AUGUST 6, 2024

It makes banks more data-driven and insightful, enhancing decision-making; providing deeper insights; and achieving greater agility, personalized customer service, and automation. The quality of transaction data is central to this transformation, providing invaluable insights into customer behavior and giving professionals a sense of control.

Consulting 119

Consulting Risk Data-driven Reporting 119

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. You should still get the book because it is a fantastic 250-page masterpiece for data scientists!) How does one express “context” in a data model?

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

erwin

AUGUST 6, 2020

How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. So, what is data literacy? What Is Data Literacy? Data Literacy Definition.

Contextual Data 135

Contextual Data Data Governance Metadata Digital Transformation 135

Rocket-Powered Data Science

JUNE 17, 2022

’ Observability delivers actionable insights, context-enriched data sets, early warning alert generation, root cause visibility, active performance monitoring, predictive and prescriptive incident management, real-time operational deviation detection (6-Sigma never had it so good!) Reference ) Splunk Enterprise 9.0 is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle. 1 The enterprise data lifecycle.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

AWS Big Data

NOVEMBER 19, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. His core area of expertise includes technology strategy, data analytics, and data science.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

DataRobot Blog

JULY 5, 2022

Location data is a key dimension whose volume and availability has grown exponentially in the last decade. Cleaned and enriched geospatial data combined with geostatistical feature engineering provides substantial positive impact on a housing price prediction model’s accuracy. Geospatial Data Enrichment Example.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 134

Analytics IoT Data-driven Snapshot 134

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. Companies can enrich these versatile tools with their own data using the RAG (retrieval-augmented generation) architecture. An LLM can do that too.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

TDAN

FEBRUARY 21, 2024

Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time.

Data Collection 98

Data Collection Reporting Data Governance Management 98

IBM Big Data Hub

NOVEMBER 8, 2023

LLMs are trained on vast amounts of data and can be used across endless applications. There are two essential steps in building agents for business automation: training and enriching agents for target use cases and orchestrating a catalog of multiple agents. In addition, each API contains fields of varying data types.

Optimization 116

Optimization Data-driven Modeling Enterprise 116

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

Visualization 119

Visualization Data Lake Testing Data Governance 119

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

AWS Big Data

MARCH 13, 2024

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. Additionally, you can use AWS Lambda to enrich incoming location data with data from other sources, such as an Amazon DynamoDB table containing vehicle maintenance details.

Analytics 122

Analytics IoT Metadata Internet of Things 122

Cloudera

JANUARY 9, 2025

A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. But over the years, data teams and data scientists overcame these hurdles and AI became an engine of real-world innovation. Thats why were moving from Cloudera Machine Learning to Cloudera AI.

Machine Learning 85

Machine Learning Enterprise Data-driven Modeling 85

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. What is Amazon Redshift?

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

Ontotext

MARCH 19, 2021

This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for. We’ve already talked about metadata as something that enriches data with more data points that make it meaningful. The one from packaging.

Metadata 124

Metadata Publishing Enterprise Management 124