Cloudera

JUNE 13, 2024

As a result, developers – regardless of their expertise in machine learning – will be able to develop and optimize business-ready large language models (LLMs). Instead of moving the data each time to the compute that you want to use, you just keep all the data in its current place and bring the compute to the data.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

Cloudera

JUNE 11, 2024

For instance, a manufacturing company can use GenAI to analyze sensor data, maintenance logs, production records and reference operational documentation to predict potential equipment failures and optimize maintenance schedules.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

Sisense

DECEMBER 30, 2019

The two dashboards below were created from the same set of data. The first one contains some poor design choices, while the second is built to optimize readability and preserve insights. In this very visual post, we’ll discuss the elements that make or break a dashboard and dissect two examples.

Dashboards 89

Dashboards Visualization Metrics Contextual Data 89

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The partnership has enabled OCBC to better store, manage and harness the power of our data.”. OCBC Bank is the second largest financial services group in Southeast Asia by assets and one of the most highly-rated banks in the world.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Jet Global

APRIL 2, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

CIO Business Intelligence

SEPTEMBER 25, 2024

But it’s also used by developers adding AI functionality to enterprise workflows, and may include guidelines and stylebooks, sample answers, contextual data, and other information that could improve the quality and accuracy of the response. Real-world data is very expensive, time-consuming, and hard to collect,” adds Thurai.

Cost-Benefit 143

Cost-Benefit Modeling Enterprise Contextual Data 143

bridgei2i

SEPTEMBER 15, 2021

BRIDGEi2i has been featured for providing machine learning, deep learning, NLT, and optimization techniques. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise. Awards & Recognition News & Updates.

Marketing 52

Marketing Contextual Data Deep Learning Consulting 52

bridgei2i

MAY 26, 2021

Pritam, a Forbes Technology council member , has extensive expertise in analytical transformation involving technology and data science in various sectors and functional contexts, spanning over two decades. Click here for the complete article. About BRIDGE i2i. Awards & Recognition News & Updates. www.BRIDGEi2i.com.

Big Data 52

Big Data Contextual Data Analytics Data-driven 52

Cloudera

JULY 29, 2024

Democratized stream processing is the ability of non-coder domain experts to apply transformations, rules, or business logic to streaming data to identify complex events in real time and trigger automated workflows and/or deliver decision-ready data to users.

Enterprise 69

Enterprise Data Architecture Manufacturing Key Performance Indicator 69

bridgei2i

JANUARY 27, 2020

.” He added, “We are on a mission to make AI real for Enterprises as they look to embark on, accelerate or optimize their transformation journey.”. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise.

Reporting 40

Reporting Contextual Data Consulting Data-driven 40

Jet Global

AUGUST 14, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Occam's Razor

JULY 15, 2014

They don't have an ability to analyze the data, should anything pique their interest, and neither will they ever want access to the contextual data to do a… oh, wait, why did x happen , or I wonder if z is the reason Average Order Value is $356. Hence your CXOs should definitely not get a data puke like the one above.

Dashboards 160

Dashboards Key Performance Indicator Snapshot Slice and Dice 160

Ontotext

AUGUST 31, 2023

It’s also possible to import or create an ontology in a knowledge graph to model your domain without loading data, which is extremely beneficial in some use cases. RDF RDFS SPARQL OWL SHACL RDF-star SKOS If you have data you want to optimize and extract knowledge from, check out metaphactory and see how it can help your enterprise.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Alation

JUNE 28, 2022

A metadata management framework does the same for your data analysts. With a metadata management framework, your data analysts: Optimize search and findability: Create a single portal using role-based access for rapid data access based on job function and need. 3 Critical Steps to Building a Metadata Management Framework.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

APRIL 27, 2022

To work towards an optimized IAM state, CIOs should: . IAM offers the data protection, monitoring, privacy policies and classifications that CDOs want while also applying analytics for enriched, contextualized data from protected data lakes. It takes time to build the right identity infrastructure.

Management 52

Management Risk Contextual Data Cost-Benefit 52

Cloudera

SEPTEMBER 11, 2018

Additionally, the Wires functionality in ESF, combined with Apache Camel Routes , enables OT architects and developers to create edge applications and to distribute the meaningful business logic needed to optimize business operations. The IoT integration hub.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

IBM Big Data Hub

DECEMBER 16, 2022

Instead, she could simply search the data catalog and access the required information in minutes. Meanwhile, the company’s IT teams could optimize their time by focusing on other important workloads. Comprehensive search and access to relevant data. A business glossary to explain the business terms used within a data asset.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Jet Global

OCTOBER 2, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

CIO Business Intelligence

MAY 1, 2025

The goal, said Silvio Savarese, EVP and chief scientist of Salesforce Research, is achieving enterprise general intelligence (EGI), which he defined as business-optimized AI capable of delivering reliable performance across complex business scenarios while maintaining seamless integration with existing systems. Risk governance.

Enterprise 82

Enterprise Modeling Contextual Data Testing 82

CIO Business Intelligence

MAY 6, 2025

This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action. Think of the next-best-offer algorithms in e-commerce, dynamic hospitality pricing or logistics route optimization. Where predictive analytics asks, Whats likely to happen?

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78