AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. zst`; do zstd -d $F; done rm *.zst

Data Processing 114

Data Processing Dashboards Machine Learning Management 114

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

AWS Big Data

JULY 14, 2023

The only document given to Bob was PowerPoint slides and the names of the head of each department to get more information. 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.

Modeling 73

Modeling Visualization Reporting Measurement 73

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 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 99

Manufacturing Sales Optimization Data Processing 99

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 357

Risk Modeling Data Processing Software 357

AWS Big Data

AUGUST 21, 2023

Lexical search looks for words in the documents that appear in the queries. For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Data Processing 94

Data Processing Experimentation Visualization Metrics 94

AWS Big Data

MARCH 19, 2024

further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search. These traditional lexical search algorithms match user queries with exact words or phrases in your documents. The introduction of the neural search feature in OpenSearch Service 2.9

Data Processing 68

Data Processing Modeling Machine Learning Metadata 68

erwin

JULY 1, 2022

On the heels of its erwin® Data Modeler 12.1 Register to attend our What’s New webinar , hosted by product manager Vani Mishra. That’s why, in erwin Data Modeler 12.1, a subscription model for our customers’ convenience. From the customer’s perspective, once erwin Data Modeler 12.1 In erwin Data Modeler 12.1

Modeling 52

Modeling Cost-Benefit Data Processing Software 52

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 99

Dashboards Data Processing Modeling Machine Learning 99

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 100

Enterprise Cost-Benefit Data Processing Software 100

AWS Big Data

JANUARY 9, 2024

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. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Only items that have words the user typed match the query.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 321

Machine Learning Predictive Modeling Software Modeling 321

CIO Business Intelligence

NOVEMBER 21, 2023

Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. Without a strong delivery model and communication plan, frustrated business stakeholders are likelier to buy and try implementing a technology solution without IT’s involvement.

IT 125

IT Risk Cost-Benefit Risk Management 125

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases.

Enterprise 73

Enterprise Data Integration Data Quality Contextual Data 73

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. The model enables easy transfer of cloud services between different geographic regions, either onshore or offshore. Cloud technology has proven to be an excellent model for large companies.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

Cloudera

MAY 31, 2023

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. How can enterprises address these challenges?

Enterprise 74

Enterprise Data Processing Experimentation Modeling 74

Ontotext

DECEMBER 20, 2023

When we search for people, documents, places, and events, we are now able not only to use a bunch of keywords, but to also ask questions and receive answers about a given subject of interest. In addition, there is open-access to the Odeuropa data model , as well as a Historical Scent Collection website.

Visualization 78

Visualization Data Processing Data mining Interactive 78

datapine

APRIL 15, 2020

Working software over comprehensive documentation. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. In the traditional model communication between developers and business users is not a priority. Responding to change over following a plan.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). In this model, it doesn’t make sense for us to say our catalog has to understand all of these corpuses or data. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 105

Unstructured Data Dashboards Business Intelligence Data Governance 105

CIO Business Intelligence

NOVEMBER 5, 2023

interactive dashboards enabling details such as vehicle type, critical dates, and related documents to be viewed easily. Cloud hosting options. As anywhere, anytime is the new way of working, look for a tool that enables applications to be hosted on-premises, in the cloud, or in a hybrid environment. Security & Compliance.

Digital Transformation 131

Digital Transformation Cost-Benefit Data Processing Software 131

Cloudera

AUGUST 28, 2023

The release of ChatGPT pushed the interest in and expectations of Large Language Model based use cases to record heights. Moreover, the opacity of LLMs amplifies safety worries, especially when the models lack transparency in terms of training data, processes, and bias mitigation. V100, A100, T4 GPUs).

Enterprise 76

Enterprise Machine Learning Modeling Data Processing 76

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 75

Risk Consulting Modeling Data Processing 75

CIO Business Intelligence

JANUARY 3, 2024

According to an O’Reilly survey released late last month, 23% of companies are using one of OpenAI’s models. Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. In March, it gave itself the right to use customer data to train its models.

Risk 114

Risk Modeling Enterprise Marketing 114

AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. The replica copies subsequently download newer segments and make them searchable.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. Please refer to the product documentation for more information about specific releases. or higher on the public cloud.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

Insurance 54

Insurance Digital Transformation Risk Management Interactive 54

Jet Global

MARCH 8, 2024

Recently Google shared its own local model: Gemma. Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Gemma has been shared on HuggingFace , and is also available in the popular LLM hosting software Ollama.

Dashboards 52

Dashboards Modeling Visualization Data Processing 52

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. He is “part of the brain trust” that hosted an AI strategy discussion with more than 30 CIOs in February and is one of 40 CIOs in Wisconsin who works collaboratively with peers to solve problems.

Digital Transformation 82

Digital Transformation Machine Learning Data Lake Software 82

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 102

Cost-Benefit Data Processing Software Data-driven 102

AWS Big Data

OCTOBER 25, 2023

The anomaly detector processor creates and trains RCF models for a hashed value of keys, then uses those models to determine whether newly arriving messages have an anomaly based on the trained data. Also, for this walkthrough, we used a non-default sample_size for training the model.

Analytics 123

Analytics Data Processing Optimization Metrics 123

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 99

Metadata Modeling Data Processing Unstructured Data 99

IBM Big Data Hub

FEBRUARY 7, 2024

In addition to CSRD, California has new mandatory reporting rules coming into play in 2024, while countries around the world are on the verge of implementing their own non-financial disclosure and documentation requirements. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data.

Reporting 91

Reporting Internet of Things Cost-Benefit Data-driven 91

Cloudera

OCTOBER 31, 2023

Using this AMP, customers can use foundation models available in Amazon Bedrock for text summarization of data managed both in Cloudera Public Cloud on AWS and Cloudera Private Cloud on-premise. With Amazon Bedrock, customers can interact via a single API and select from a wide range of industry leading foundation models.

Machine Learning 102

Machine Learning Cost-Benefit Modeling Interactive 102

IBM Big Data Hub

FEBRUARY 6, 2024

Today, these three cloud architecture models are not mutually exclusive; instead, they work in concert to create a hybrid multicloud—an IT infrastructure model that uses a mix of computing environments (e.g., on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider.

Cost-Benefit 101

Cost-Benefit Digital Transformation Software Modeling 101

AWS Big Data

JULY 25, 2023

You can load your data and start querying in your favorite business intelligence (BI) tools, build machine learning (ML) models in SQL, or combine your data with third-party data for new insights because Redshift Serverless seamlessly integrates with your data landscape. For Host , enter the Redshift Serverless endpoint’s host URL.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52