CIO Business Intelligence

DECEMBER 11, 2024

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

Data Analytics 105

Data Analytics Analytics Data Lake Data Quality 105

O'Reilly on Data

JANUARY 17, 2023

Given that, what would you say is the job of a data scientist (or ML engineer, or any other such title)? Building Models. A common task for a data scientist is to build a predictive model. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

AWS Big Data

NOVEMBER 19, 2024

A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. The process starts by creating a vector based on the question (embedding) by invoking the embedding model. Then, Lambda replies back to the web interface with the LLM completion (reply).

Management 98

Management Metadata Manufacturing Testing 98

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. A few factors are contributing to this strong interest in implementing ML in products and services. A collection of tools that focus primarily on aspects of model development, governance, and operations.

Modeling 258

Modeling Machine Learning Testing Metrics 258

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 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). IBM Watson NLU.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

David Menninger's Analyst Perspectives

APRIL 30, 2025

In an earlier Analyst Perspective , I discussed data democratizations role in creating a data-driven enterprise agenda. Building a foundation of self-service data discovery , data-driven organizations provide more workers with the ability to analyze and use data.

Data-driven 130

Data-driven Enterprise Metrics Dashboards 130

AWS Big Data

FEBRUARY 21, 2025

AWS recommends Amazon OpenSearch Service as a vector database for Amazon Bedrock as the building blocks to power your solution for these workloads. In this post, youll learn how to use OpenSearch Service and Amazon Bedrock to build AI-powered search and generative AI applications. How do vector databases help prevent AI hallucinations?

Dashboards 85

Dashboards Modeling Measurement Interactive 85

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?

Statistics 246

Statistics Optimization Data Analytics Technology 246

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. RAG uses data sources like Amazon Redshift and Amazon OpenSearch Service to retrieve documents that augment the LLM prompt.

Unstructured Data 119

Unstructured Data Data Warehouse Structured Data Testing 119

David Menninger's Analyst Perspectives

MAY 6, 2025

Large language models have allowed BI providers to accelerate the delivery of functionality to convert natural language questions into analytic queries and generate summarizations and recommendations from data and charts. Features that enable natural language query and natural language generation are now ubiquitous.

Analytics 130

Analytics Business Intelligence Interactive Data-driven 130

AWS Big Data

FEBRUARY 7, 2025

DeepSeek-R1 is a powerful and cost-effective AI model that excels at complex reasoning tasks. When combined with Amazon OpenSearch Service , it enables robust Retrieval Augmented Generation (RAG) applications. OpenSearch Service provides rich capabilities for RAG use cases, as well as vector embedding-powered semantic search.

Data Processing 69

Data Processing Dashboards Modeling Statistics 69

Ontotext

DECEMBER 9, 2020

Stop wasting time building data access code manually, let the Ontotext Platform auto-generate a fast, flexible, and scalable GraphQL APIs over your RDF knowledge graph. Are you having difficulty joining your knowledge graph APIs with other data sources? This leads to lots of small data fetches to/from GraphDB over the network.

Modeling 130

Modeling Management Optimization Machine Learning 130

AWS Big Data

JANUARY 17, 2024

With the launch of the neural search feature for Amazon OpenSearch Service in OpenSearch 2.9, it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. To use neural search, you must set up an ML model. For more information, refer to Introduction to OpenSearch Models.

Dashboards 116

Dashboards Data Processing Modeling Machine Learning 116

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

CIO Business Intelligence

MARCH 6, 2024

Jurgen Mueller, SAP CTO and executive board member, called the innovations, which includes an expanded partnership with data governance specialist Collibra, a “quantum leap” in the company’s ability to help customers drive intelligent business transformation through data. With today’s announcements, SAP is building on that vision.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We use leading-edge analytics, data, and science to help clients make intelligent decisions.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. The solution uses approximate nearest neighbors algorithms available in Amazon OpenSearch Service to search for semantically similar columns.

Data Lake 105

Data Lake Deep Learning Interactive Machine Learning 105

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. What does a sound, intelligent data foundation give you?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

datapine

SEPTEMBER 4, 2019

Exclusive Bonus Content: Download Data Implementation Tips! It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions. Organizations can also further utilize the data to define metrics and set goals. Digital age needs digital data.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

Paul Turley

NOVEMBER 23, 2022

Partitioning Large Tables Table partitioning has long been an important task in semantic model design using SQL Server Analysis Services. Since SSAS Tabular and Power BI models are built on top of the SSAS architecture, the pattern of partitioning remains the same as it has been for twenty years.

Cost-Benefit 117

Cost-Benefit Modeling Enterprise Management 117

AWS Big Data

SEPTEMBER 5, 2024

In the context of Retrieval-Augmented Generation (RAG), knowledge retrieval plays a crucial role, because the effectiveness of retrieval directly impacts the maximum potential of large language model (LLM) generation. Currently, in RAG retrieval, the most common approach is to use semantic search based on dense vectors.

Metrics 111

Metrics Testing Experimentation Modeling 111

AWS Big Data

AUGUST 21, 2023

Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. OpenSearch Service supports a variety of search and relevance ranking techniques. For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning.

Data Processing 98

Data Processing Visualization Experimentation Metrics 98

CIO Business Intelligence

JUNE 6, 2024

Customer relationship management (CRM) software provider Salesforce on Thursday added new capabilities to its Sales Cloud and Service Cloud with updates to its Einstein AI and Data Cloud offerings. It unifies data from all customer meetings to identify cross-company and help enterprises adapt their go-to-market strategy accordingly.

Sales 126

Sales Unstructured Data Enterprise Dashboards 126

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

SEPTEMBER 12, 2024

In many organizations, the focus is on large language models (LLMs), and foundation models (FMs) more broadly. This is just the tip of the iceberg, because what enables you to obtain differential value from generative AI is your data. In essence, you have to enrich the generative AI models with your differentiated data.

Management 105

Management Analytics Data Lake Interactive 105

CIO Business Intelligence

FEBRUARY 29, 2024

Generative AI offers great potential as an interface for enabling users to query your data in unique ways to receive answers honed for their needs. But before using generative AI to answer questions about your data, it’s important to first evaluate the questions being asked. Update as needed as data changes.

Modeling 126

Modeling Publishing Enterprise Technology 126

CIO Business Intelligence

OCTOBER 24, 2023

The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. Vector Databases To make use of a Large Language Model, you’re going to need to vectorize your data. Enter vector embeddings.

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

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. By 2023, ERP data will be the basis for 30% of AI-generated predictive analyses and forecasts.

Analytics 144

Analytics Metadata Enterprise Data-driven 144

CIO Business Intelligence

MARCH 18, 2024

SAP and Nvidia announced an expanded partnership today with an eye to deliver the accelerated computing that customers need in order to adopt large language models (LLMs) and generative AI at scale. Herzig notes that SAP has a large ecosystem of partners and various LLM providers, with new LLMs popping up seemingly every day. “At

Digital Transformation 118

Digital Transformation Optimization Data Science Modeling 118

Paul Turley

MARCH 29, 2024

Over 4,000 attendees saw a lot of demos showing how to effortlessly build a modern data platform with petabytes of data in One Lake, and then ask CoPilot to generate beautiful Power BI reports from semantic models that magically appear from data in a Fabric Lakehouse.

Reporting 89

Reporting Modeling Enterprise Analytics 89

AWS Big Data

JUNE 21, 2023

Amazon OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud. An embedding model, for instance, could encode the semantics of a corpus. A vector database provides efficient vector similarity search by providing specialized indexes like k-NN indexes.

Metrics 98

Metrics Measurement Modeling Dashboards 98

CIO Business Intelligence

SEPTEMBER 20, 2023

Do this right, and CIOs can help their organizations leapfrog competitors by dramatically improving operations, streamlining marketing, and ratcheting up customer service. CIOs don’t have to panic this month because everyone is just starting out,” said Shaown Nandi, Director of Technology at Amazon Web Services.

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145