erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

erwin

FEBRUARY 20, 2020

Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. The combined solution enables organizations to map IT capabilities to the business functions they support and determine how people, processes, data, technologies and applications interact to ensure alignment in achieving enterprise objectives.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

IBM Big Data Hub

MAY 29, 2024

For instance, creating use cases require meticulous planning and documentation, often involving multiple stakeholders and iterations. Designing data models and generating Entity-Relationship Diagrams (ERDs) demand significant effort and expertise. Developers must write and debug code, a process that is prone to errors and delays.

Cost-Benefit 59

Cost-Benefit Testing Software Consulting 59

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. This would allow analysts to process the documents to develop investment recommendations faster and more efficiently.

Unstructured Data 88

Unstructured Data Structured Data Data Warehouse Testing 88

AWS Big Data

NOVEMBER 21, 2023

Amazon Bedrock and foundation models like Anthropic Claude are poised to enable a new wave of AI adoption by powering more natural conversational experiences. However, a key challenge that has emerged is tailoring these general purpose models to generate valuable and accurate responses based on extensive, domain-specific datasets.

Modeling 70

Modeling Big Data Data-driven Data Processing 70

IBM Big Data Hub

APRIL 15, 2024

Coupled with search and multi-modal interaction, gen AI makes a great assistant. Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. Generative AI can create foundation models for assets.

Manufacturing 95

Manufacturing Contextual Data Knowledge Discovery Data Lake 95

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 72

Risk Modeling Management Metadata 72

O'Reilly on Data

JUNE 7, 2022

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

IBM Big Data Hub

MARCH 6, 2024

The adoption of the YES (Your Engineering Success) model underscores the importance of cultivating a positive and supportive culture within the team, fostering an atmosphere that encourages innovation and creativity. Code documentation can be sped up by helping developers automatically adhere to specific documentation formats.

Testing 108

Testing Metrics Measurement Key Performance Indicator 108

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Automate tedious, repetitive tasks.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

DataRobot

SEPTEMBER 16, 2021

The later introduction of Generalized Linear Models (GLM) significantly expanded the pricing actuary’s toolbox. When it comes to insurance and loss cost modeling, DataRobot enforces best practices by automating model setup and incorporating various preprocessing and modeling approaches. Claim Count.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

CIO Business Intelligence

OCTOBER 16, 2023

The application of AI in software development can accelerate these areas – for example, by quickly pulling info from many different sources and synthesizing documentation sources. For example, engineers can use embedding models or similarity analysis to radically simplify data models and get important details more quickly.

Software 124

Software Data-driven Modeling Machine Learning 124

CIO Business Intelligence

FEBRUARY 20, 2024

Microsoft Copilot brings the power of large language models (LLMs) directly into the applications agencies already use, enabling powerful productivity tools to be harnessed through simple words and phrases. What’s more, the technology is available right now. There are also obvious benefits for new workers.

Cost-Benefit 92

Cost-Benefit Interactive Reporting Data-driven 92

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. In short, an internal business process is a documented account of how things should be done to maximize efficiency and achieve a particular goal. The Value of Internal Business Process Modeling.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

AWS Big Data

MAY 23, 2024

An Amazon Simple Storage Service (Amazon S3) bucket to store the library, model, and output. Refer to the library documentation for further details. Set up the AWG Glue notebook For simplicity, we use an AWS Glue notebook to prepare the training data, build a model, and find matches. Choose Create notebook. b.id )) """).write.mode("overwrite").parquet(f"s3://{bucket_name}/models/1/trainingData/marked/")

Machine Learning 98

Machine Learning Interactive Recreation/Entertainment Data Integration 98

AWS Big Data

NOVEMBER 29, 2023

dbt lets data engineers quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, continuous integration and continuous delivery (CI/CD), and documentation. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

erwin

MAY 14, 2021

But even though speed is critical, businesses must take the time to model and document new applications for compliance and transparency. For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

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

O'Reilly on Data

OCTOBER 18, 2022

What if a named entity recognition (NER) system, based on a cutting-edge large language model (LLM), fails for Chinese, Cyrillic, or Arabic text? Audit has been an integral aspect of model risk management (MRM) in consumer finance for years, and colleagues at BLDS and QuantUniversity have been conducting model audits for some time.

Risk Management 287

Risk Management Risk Testing Measurement 287

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

DataRobot Blog

SEPTEMBER 30, 2022

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Model Observability Features.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Enterprise 267

Enterprise Modeling Testing Reporting 267

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Model-driven DSS.

Data mining 130

Data mining Data-driven Statistics OLAP 130

CIO Business Intelligence

MAY 20, 2024

This knowledge, generated through observation, reflection, study, and social interaction, led to a new companywide policy: “Let the grinder warm up for 15 minutes,” resulting in millions of dollars of extra profit at no additional cost. Serendipitous interactions are important for creative, innovative, or nonformulaic activities.

Management 107

Management Interactive Measurement Marketing 107

CIO Business Intelligence

NOVEMBER 15, 2023

Confusingly, Microsoft already offers a Sales Copilot; Copilot for Sales is a different product that includes a license for Copilot for Microsoft 365, and helps sales staff prepare for customer meetings by creating custom briefing documents. Here’s some of the top AI news CIOs will want to take away from Microsoft Ignite 2023.

Sales 127

Sales Enterprise Modeling Dashboards 127

CIO Business Intelligence

APRIL 30, 2024

The law will also extend beyond the borders of the EU member nations, as any company interacting with residents of the EU will be subject to the regulations. The most powerful general-purpose AIs will face additional regulations, and they must perform model evaluations, assess and mitigate risks, and report on incidents.

IT 88

IT Risk Data-driven Modeling 88

Cloudera

MAY 23, 2024

Information is often redundant and analyzing data requires combining across multiple formats, including written documents, streamed data feeds, audio and video. However, training models require huge hardware resources, significant budgets and specialist teams. The image above demonstrates a KMS built using the llama3 model from Meta.

Management 78

Management Metrics Data Processing Data Lake 78

AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. Enterprises are doing this by using proprietary data with approaches like Retrieval Augmented Generation (RAG), fine-tuning, and continued pre-training with foundation models.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. Data modeling basics. Data Modeling. So, let’s now begin to data model NoSQL databases.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. A single document may represent thousands of features.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

CIO Business Intelligence

FEBRUARY 3, 2023

Optical character recognition, for example, might extract a purchase order from an uploaded document image and trigger accounting software to deal with it. The ability to suck words and numbers from images are a big help for document-heavy businesses such as insurance or banking.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

IBM Big Data Hub

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

Insurance 99

Insurance Digital Transformation Unstructured Data Risk 99

CIO Business Intelligence

SEPTEMBER 29, 2023

NLP aims to create smoother experiences for those interacting with AI chatbots and other services that rely on generative AI to service clients and customers. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively.

Cost-Benefit 139

Cost-Benefit Metrics Insurance Measurement 139

CIO Business Intelligence

MARCH 6, 2024

SAP unveiled Datasphere a year ago as a comprehensive data service, built on SAP Business Technology Platform (BTP), to provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. Collibra does a fantastic job of understanding it.”

Unstructured Data 111

Unstructured Data Dashboards Business Intelligence Data Governance 111

IBM Big Data Hub

NOVEMBER 24, 2023

Discovery focuses on understanding legacy application, infrastructure, data, interaction between applications, services and data and other aspects like security. Modernization teams perform their code analysis and go through several documents (mostly dated); this is where their reliance on code analysis tools becomes important.

Cost-Benefit 91

Cost-Benefit Testing Data-driven Enterprise 91

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. As new data appears, you will have to continuously fine-tune or further train the model.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92