AWS Big Data

OCTOBER 21, 2024

As a producer, you can also monetize your data through the subscription model using AWS Data Exchange. To achieve this, they plan to use machine learning (ML) models to extract insights from data. Next, we focus on building the enterprise data platform where the accumulated data will be hosted.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

AWS Big Data

FEBRUARY 7, 2025

DeepSeek-R1 is a powerful and cost-effective AI model that excels at complex reasoning tasks. You can use the flexible connector framework and search flow pipelines in OpenSearch to connect to models hosted by DeepSeek, Cohere, and OpenAI, as well as models hosted on Amazon Bedrock and SageMaker.

Data Processing 69

Data Processing Dashboards Modeling Statistics 69

CIO Business Intelligence

JANUARY 9, 2025

They struggle with ensuring consistency, accuracy, and relevance in their product information, which is critical for delivering exceptional shopping experiences, training reliable AI models, and building trust with their customers. Since then, its online customer return rate dropped from 10% to 1.6%

B2B 105

B2B Cost-Benefit Data-driven Sales 105

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Flexible payment options: Businesses don’t have to go through the expense of purchasing software and hardware. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Smart Data Collective

JUNE 15, 2021

However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model. Without a good business model, you won’t understand customer needs and how to build your startup.

Modeling 117

Modeling Advertising Cost-Benefit Machine Learning 117

CIO Business Intelligence

JANUARY 7, 2025

This new paradigm of the operating model is the hallmark of successful organizational transformation. WALK: Establish a strong cloud technical framework and governance model After finalizing the cloud provider, how does a business start in the cloud? You would be surprised, but a lot of companies still just start without having a plan.

Optimization 98

Optimization Strategy Cost-Benefit Enterprise 98

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 363

Management Machine Learning Experimentation Metrics 363

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. Ralph Kimball and Margy Ross co-authored this third edition of Kimball’s classic guide to dimensional modeling.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. But there are also a host of other issues (and cautions) to take into consideration. LLM is by its very design a language model. The technology is very new and not well understood.

Modeling 98

Modeling Management Structured Data Data Architecture 98

AWS Big Data

NOVEMBER 17, 2023

For more information, refer SQL models. Tests – These are assertions you make about your models and other resources in your dbt project (such as sources, seeds, and snapshots). They are analogous to “functions” in other programming languages, and are extremely useful if you find yourself repeating code across multiple models.

Snapshot 104

Snapshot Data Processing Testing Data Warehouse 104

AWS Big Data

NOVEMBER 27, 2024

dbt Cloud is a hosted service that helps data teams productionize dbt deployments. After the data is in Amazon Redshift, dbt models are used to transform the raw data into key metrics such as ticket trends, seller performance, and event popularity. Create dbt models in dbt Cloud. Deploy dbt models to Amazon Redshift.

Data Warehouse 94

Data Warehouse Analytics Testing Modeling 94

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. I’ve heard it referred to as the lattice. That is part of the value we bring to the table. There are many different routes to take.

IT 133

IT Modeling Digital Transformation Data Governance 133

Ontotext

NOVEMBER 22, 2024

It uses the Retrieval Augmented Generation (RAG) approach , with a structured knowledge graph in the retrieval step and is hosted on the Databricks platform which provides smooth integration of processing resources on the cloud. Finally, it enables building a subgraph representing the extracted knowledge, normalized to reference data sets.

Knowledge Discovery 52

Knowledge Discovery Visualization Data-driven Data Processing 52

Sisense

MARCH 2, 2020

Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense Data Models using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense Data Model, exactly?”

Modeling 87

Modeling Data-driven Dashboards Testing 87

AWS Big Data

JANUARY 17, 2024

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. In this post, we demonstrate how to configure AI/ML connectors to external models through the OpenSearch Service console. Starting with version 2.9

Dashboards 110

Dashboards Data Processing Modeling Machine Learning 110

CIO Business Intelligence

AUGUST 27, 2024

This is an ever-growing catalog of reference applications built for common use cases that encode the best practices from NVIDIA’s experiences with early adopters,” he added. Developers can use the blueprint to combine NVIDIA NeMo Retriever NIM microservices with community or custom models to build multimodal retrieval pipelines.

Manufacturing 128

Manufacturing Interactive Enterprise Software 128

AWS Big Data

JULY 14, 2023

To collect that information, Bob gets in touch with the head of each department, who in turn refer him to their development leads, who in turn give him a bunch of technical documents that explain how APIs are being used. The model should be able to showcase to LOBs their categories and capabilities.

Modeling 78

Modeling Visualization Reporting Measurement 78

CIO Business Intelligence

MAY 15, 2024

Driving a hybrid cloud roadmap that elevates business success was the discussion topic of a round table hosted by CIO and IDC I attended this week. Attendees discussed the cost impact of moving from legacy systems to a hybrid model. CIO and IDC were thankful to host and be a part of this discussion, which was sponsored by Bell and AWS.

Cost-Benefit 110

Cost-Benefit B2B Data Processing Technology 110

datapine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

SEPTEMBER 13, 2022

” Software as a service (SaaS) is a software licensing and delivery paradigm in which software is licensed on a subscription basis and is hosted centrally. The SaaS business model is gaining acceptance throughout the world. Businesses with adaptive strategies, cultures, and business models always have a competitive advantage.

Cost-Benefit 126

Cost-Benefit Data Processing Software Data-driven 126

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. For more information on the choice of index algorithm, refer to Choose the k-NN algorithm for your billion-scale use case with OpenSearch. For more details, refer to Amazon OpenSearch Service Construct Library.

Data Processing 123

Data Processing Dashboards Machine Learning Metrics 123

Jen Stirrup

SEPTEMBER 13, 2024

This isn’t surprising, as Houston hosts 40% of the U.S. Transitioning to renewable energy sources requires significant shifts in business models and investments, which can be difficult for established companies. When people consider Houston, Texas, they think of its history and focus on oil and gas.

Digital Transformation 98

Digital Transformation Technology Modeling Risk 98

datapine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

OCTOBER 12, 2023

Did you know that, if you add “take a deep breath” to a prompt, chances are you will get more accurate results from Large Language Models (LLMs)? Do Knowledge Graphs Dream of Large Language Models? I didn’t either. Aidan Hogan at SEMANTiCS 2023.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. Data: the foundation of your foundation model Data quality matters.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

Smart Data Collective

SEPTEMBER 6, 2020

Most want a self-serve model that allows them to find all the information they need to make a purchase decision. Software as a Solution (SaaS) products are often referred to as cloud-based solutions. You need to either host the application on your own servers or pay someone to host the application and your data.

B2B 135

B2B Data Analytics Analytics Cost-Benefit 135

IBM Big Data Hub

MARCH 28, 2024

A private cloud is a single-tenant cloud computing model in which all of the hardware and software resources are dedicated exclusively to—and accessible only by—a single organization. billion by 2033, up from USD 92.64 billion in 2023. What is a private cloud? Private cloud combines the primary benefits of cloud computing (e.g.,

Enterprise 97

Enterprise Cost-Benefit Data Processing Software 97

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 111

Metadata Modeling Data Processing Unstructured Data 111

erwin

APRIL 4, 2022

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. So, this release of erwin Data Modeler aligns with the release of erwin Data Intelligence 12.0,” he concluded. “So,

Modeling 52

Modeling Data Processing Data-driven Big Data 52

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. For more information, refer to Guidance for Distributed Computing with Cross Regional Dask on AWS and the GitHub repo for open-source code. These datasets are distributed across the world and hosted for public use.

Data Processing 109

Data Processing Metadata Informatics Interactive 109

CIO Business Intelligence

JANUARY 20, 2023

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. It uses data mining , data modeling, and machine learning to answer why something happened and predict what might happen in the future.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

MAY 21, 2024

Initially, searches from Hub queried LINQ’s Microsoft SQL Server database hosted on Amazon Elastic Compute Cloud (Amazon EC2), with search times averaging 3 seconds, leading to reduced adoption and negative feedback. The LINQ team exposes access to the OpenSearch Service index through a search API hosted on Amazon EC2.

Manufacturing 108

Manufacturing Sales Optimization Data Processing 108

Smart Data Collective

MAY 30, 2022

Contact Center as a Service is referred to as CCaaS. Contact centers were previously constructed on software platforms hosted and maintained on-premises. This could include considering hosted solutions, multi-tenancy, and other options. CCaaS refers to a Contact Centre as a Service. What’s and How’s of CCAAS?

Customer Analytics 130

Customer Analytics Management Analytics Data Processing 130

Smart Data Collective

DECEMBER 23, 2022

Businesses can also leverage big data to support machine learning by training AI and sophisticated models. Data storage on local hardware, such as servers, PCs, or other devices, is referred to as “on-premises storage.” These centers may be private or shared servers located on off-site third-party hosting platforms.

Big Data 130

Big Data Cost-Benefit Data Processing Risk 130

AWS Big Data

MAY 28, 2024

Select the best recipe matching your use case after importing your datasets into a dataset group using Amazon Simple Storage Service (Amazon S3), and then create a solution to train a model by creating a solution version. First, it persists all streamed interactions so they will be incorporated into future retrainings of your model.

IoT 105

IoT Analytics Dashboards Data-driven 105

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Visualization 107

Visualization Cost-Benefit Modeling Machine Learning 107