BizAcuity

APRIL 1, 2023

It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. And when no solution is presented to optimize storage, customers decide to move away from Teradata to other alternatives. Allocate 2% of the total user space in the system for this database.

Optimization 52

Optimization Data Warehouse Management Modeling 52

IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. What types of projects can open source LLM models enable?

Risk 93

Risk Modeling Cost-Benefit Enterprise 93

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. LLM is by its very design a language model. The meaning of the data is the most important component – as the data models are on their way to becoming a commodity.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Domino Data Lab

JANUARY 11, 2021

Even for experienced developers and data scientists, the process of developing a model could involve stringing together many steps from many packages, in ways that might not be as elegant or efficient as one might like. the experience is still rooted in the same goal: simple efficiency for the whole model development lifecycle.

Modeling 145

Modeling Metrics Testing Data Science 145

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? Amidst the evolving technological landscape, one constant remains despite the ongoing attacks from nay-sayers: the importance of data modeling as a foundational step in the delivery of data to these forward-thinking organizations. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Smart Data Collective

MAY 2, 2019

Big data has been especially important for optimizing their marketing campaigns. Ask for references and a previous client list. Big data is vital for helping SEO companies identify and rectify inefficiencies in their models. This is an overlooked benefit of using big data for keyword research and optimization.

Big Data 111

Big Data Optimization Modeling Deep Learning 111

BizAcuity

SEPTEMBER 22, 2022

It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. The Data Model is designed to be fault-tolerant and be scalable with redundant network connectivity to ensure reliability for critical use case. Optimization of Teradata Storage.

Optimization 52

Optimization Data Warehouse Management Modeling 52

Cloudera

DECEMBER 20, 2022

With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

IBM Big Data Hub

DECEMBER 19, 2023

A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given. Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection.

Machine Learning 65

Machine Learning Optimization Unstructured Data Sales 65

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 84

Modeling Enterprise Cost-Benefit Data Science 84

Jedox

JUNE 24, 2021

Marketing operations and sales operations, now often collectively referred to as revenue operations are now becoming the norm in organizations of all sizes. Maximizing business value through improved collaboration is key to long-term optimization of marketing and sales operations. Collaboration and integration are key.

Sales 95

Sales Marketing Optimization Metrics 95

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

FEBRUARY 14, 2023

ChatGPT gave an excellent explanation (it is very good at explaining source code), but there was something funny: it referred to a language feature that the user had never heard of. The stories aren’t all that good, but they will be stories, and nobody claims that ChatGPT has been optimized as a story generator. But could they?

Optimization 238

Optimization Modeling Software IT 238

Decision Management Solutions

APRIL 8, 2020

Over the last few weeks we’ve blogged a couple of times on Decision Optimization. The Customer Journey to Decision Optimization. Historical approaches – current practices – are often referred to as “best practices” even though no-one has ever really challenged them. Its all clearly defined in the model.

Modeling 72

Modeling Optimization Metrics Testing 72

CIO Business Intelligence

MARCH 18, 2024

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. ASUS optimizes these servers with three key capabilities. ASUS’ collaboration with AI chip leader NVIDIA makes this all possible.

Optimization 99

Optimization Software Risk Technology 99

Cloudera

NOVEMBER 13, 2020

Data science experiment result and performance analysis, for example, calculating model lift. Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query Planner Design.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Domino Data Lab

MARCH 16, 2021

We are at an interesting time in our industry when it comes to validating models – a crossroads of sorts when you think about it. There is an opportunity for practitioners and leaders to make a real difference by championing proper model validation. Three models were created. Image source: [link].

Modeling 122

Modeling Deep Learning Testing Optimization 122

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

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. Those might be your HR policy, your travel policy, compliance documents, your legal documents, that might be in a SharePoint or on a portal.”

Digital Transformation 89

Digital Transformation Optimization Modeling Data Science 89

CIO Business Intelligence

JULY 15, 2022

COVID-19’s disruption of traditional business models has paved the way for long overdue business operational changes. In response to these adverse circumstances, businesses increasingly adopted technology and an asset-light model to navigate these market challenges. By: Amrita Shergill, Account Manager, NaaS and Ecosystem Sales.

Modeling 84

Modeling Strategy Sales Marketing 84

Jet Global

NOVEMBER 12, 2020

Users can quickly reference key metrics, see updated data in real time, and immediately understand the positives and negatives of performance. Optimizing your dashboards is about maximizing their relevance, utility, and accessibility. Accounts receivable dashboards offer a window into everything that matters with A/R.

Dashboards 87

Dashboards Optimization Metrics Data-driven 87

AWS Big Data

NOVEMBER 17, 2023

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them. For more information, refer SQL models. For more information, refer to Redshift set up.

Snapshot 91

Snapshot Data Processing Testing Data Warehouse 91

AWS Big Data

MAY 21, 2024

During implementation, the LINQ team worked with OpenSearch Service specialists to optimize the OpenSearch Service cluster configuration to maximize performance and optimize cost of the solution. This results in an optimized record for each product for quick and efficient search in OpenSearch Service.

Manufacturing 97

Manufacturing Sales Optimization Data Processing 97

Smart Data Collective

JANUARY 27, 2022

More businesses than ever are transitioning to data-driven business models. Tip: When hiring a virtual assistant, be sure to ask for references and/or check out their online reviews. The post Optimizing Your IT Budget While Running a Data-Centric Company appeared first on SmartData Collective. 5 Create a Data-Centric Culture.

Optimization 104

Optimization IT Big Data Cost-Benefit 104

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. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models can use language, vision and more to affect the real world.

Risk 71

Risk Modeling Management Metadata 71

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. A multicloud setting helps clients avoid vendor lock-in and allows them to run the most optimal computing environment for each workload.

Enterprise 99

Enterprise Cost-Benefit Data Processing Software 99

Occam's Razor

AUGUST 12, 2013

than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect. Multi-Channel Attribution Models. Linear Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161

AWS Big Data

FEBRUARY 1, 2023

Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. What is data modeling?

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

APRIL 10, 2024

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful.

Cost-Benefit 118

Cost-Benefit Modeling Strategy Interactive 118

CIO Business Intelligence

NOVEMBER 1, 2023

SAP doesn’t want to build those tools from scratch itself: “We definitely want to leverage what’s already out there,” Sun said, noting there are already many large language models (LLMs) it can build on, adding its own prompting, fine tuning, and data embedding to get those models to business customers quickly.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Software 124

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Data scientists are experts in applying computer science, mathematics, and statistics to building models.

Data Architecture 121

Data Architecture Data Warehouse Statistics Visualization 121

IBM Big Data Hub

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? That’s where the foundation model enters the picture.

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

Laminar Security

DECEMBER 1, 2023

DSPM solutions help organizations achieve data security compliance, reduce data breach risks, optimize cloud costs, and improve data quality, all while enabling data-driven innovation. Cost optimization: Optimize your cloud storage costs by eliminating or reducing redundant, obsolete, or trivial data in your cloud environment.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52