Cloudera

JUNE 11, 2024

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

CIO Business Intelligence

MAY 2, 2023

One recent study shows that only 50% follow a product-centric operating model focusing on customer centricity and delivering delightful customer experiences. The practices that worked when digital transformations started small with one initiative must evolve into a digital culture and a transformation operating model.

Digital Transformation 141

Digital Transformation IT Data-driven Data Quality 141

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

Cloudera

JUNE 13, 2024

Only Cloudera has the ability to help organizations overcome the three barriers to trust in Enterprise AI: Readiness – Can you trust the safety of your proprietary data in public AI models? Reliability – Can you trust that your data quality will yield useful AI results?

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

AWS Big Data

APRIL 2, 2024

In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability. We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock.

Metadata 110

Metadata Metrics Data-driven Contextual Data 110

CIO Business Intelligence

NOVEMBER 4, 2022

We’ll work with those scientists and actually build the computer models and go run it, and it can be anything from sub-physical particle imaging to protein folding,” he says. “In In other cases, it’s more of a standard computational requirement and we help them provide the data in the right formats.

Data Lake 124

Data Lake IT Experimentation Data-driven 124

bridgei2i

JANUARY 14, 2021

The HFS OneOffice model functions on the right amalgamation of Human-centric Customer Experience (CX) and Human-centric Employee Experience (EX). It emphasizes the right mix of infrastructure, people, and data with automation and insights that can propel real-time personalization and interactions at the front office.

Contextual Data 72

Contextual Data Consulting Data-driven Enterprise 72

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

bridgei2i

MAY 14, 2019

He’s also expected to lead a discussion on modern convolutional networks and models for detection. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise. For more details on the meetup, please click here.

Contextual Data 63

Contextual Data Deep Learning Data Processing Consulting 63

Ontotext

AUGUST 22, 2024

Our Knowledge Hub Fundamentals article What is a Knowledge Graph describes how knowledge graphs are more than just simple data graphs because they include a knowledge model that adds three things: formal semantics, descriptions that contribute to each other, and diverse data that is connected and described by semantic metadata.

Contextual Data 69

Contextual Data Metadata Modeling Interactive 69

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. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

bridgei2i

MARCH 10, 2021

BRIDGEi2i’s SCaLAthon is a proven model for solving unstructured client problems in the technology domain. Extending this model to the Inter IIT Tech Meet, BRIDGEi2i takes this opportunity to engage with the country’s best minds. About Inter IIT Tech Meet.

Contextual Data 52

Contextual Data Consulting Data-driven Enterprise 52

Jet Global

APRIL 2, 2019

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. In a recent McKinsey survey of 3,000 business executives, 41% responded that they were uncertain of the benefits of AI for their business.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Ontotext

JULY 15, 2024

Current electricity data standards EU legislation, such as REMIT , charges the European Network of Transmission System Operators for Electricity (ENTSO-E) with collecting electricity market data from TSOs. TSOs must provide this data in a format from the IEC’s family of standards known as the Common Information Model (CIM).

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52

bridgei2i

MARCH 17, 2021

Gartner’s Magic Quadrant for Data & Analytics service providers evaluated nineteen service providers and studied core capabilities such as data management, D&A strategy and operating model design, analytics business intelligence, D&A governance, program management and the likes. www.BRIDGEi2i.com.

Contextual Data 52

Contextual Data Data-driven Consulting Business Intelligence 52

IBM Big Data Hub

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

Data Governance 52

Data Governance Enterprise Modeling Risk 52

bridgei2i

MARCH 8, 2021

Changing business models are encouraging enterprises to adopt digital in their business strategies for enhanced demand generation. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise. Back to News Page.

Contextual Data 52

Contextual Data Digital Transformation Data-driven Enterprise 52

bridgei2i

FEBRUARY 12, 2019

A distinguished member of the Wiley Innovation Advisory Council (IAC), Prithvijit Roy works with around 25 eminent experts in the field of AI, Analytics and Emerging Technologies to collaborate on knowledge sharing platforms, provide mentorship, create frameworks on research and training besides innovating on existing technology models.

Technology 40

Technology Diagnostic Analytics Contextual Data Advertising 40

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

bridgei2i

JANUARY 27, 2020

Decision-makers at enterprises are constantly finding opportunities to explore newer digital business models, improve customer experience and operational efficiency. 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

Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextual data points to uncover new insights and adjust tactics and decisions on the fly.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

CIO Business Intelligence

NOVEMBER 18, 2022

With AWS tools such as Amazon QuickSight and Amazon SageMaker , 3M HIS’s clients can “get there” today: “Now our clients not only have a cloud-based instance for their data, but they gain access to tools they never had before and get the ability to do things they otherwise wouldn’t,” Dolezal said.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

Alation

JUNE 28, 2022

Collaborate more effectively: Break down data silos for better understanding of data assets across all business units. Create taxonomies and modeling languages: Enrich data analytics by enhancing relationships between data for ensuring consistent modeling outcomes when new data is introduced.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

APRIL 27, 2022

While a strategy and a roadmap are instrumental, they must be accompanied by a governance model led by a steering committee that champions the voice of the customer. Access governance models, monitoring, prevention and remediation strategies and identity risk scores (of internal and external users, including vendors) are top concerns.

Management 52

Management Risk Contextual Data Cost-Benefit 52

IBM Big Data Hub

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Meaningful business context.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

SEPTEMBER 11, 2018

This enables data to be acquired, pre-processed, filtered, aggregated and dynamically routed, with only the meaningful information sent to the centralized hub so it can be stored, analyzed, processed, modeled, acted upon, and shared with different applications and services. Pushing actionable predictions to the edge.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

Jet Global

OCTOBER 2, 2019

Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextual data points to uncover new insights and adjust tactics and decisions on the fly.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

CIO Business Intelligence

MAY 20, 2024

Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.

Management 122

Management Interactive Measurement Marketing 122

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Digital Transformation Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Ontotext

AUGUST 31, 2023

The growth of large language models drives a need for trusted information and capturing machine-interpretable knowledge, requiring businesses to recognize the difference between a semantic knowledge graph and one that isn’t—if they want to leverage emerging AI technologies and maintain a competitive edge.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

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. Additionally, the value of architectural simplicity can not be understated.

Enterprise 69

Enterprise Data Architecture Manufacturing Key Performance Indicator 69

Analytics Vidhya

NOVEMBER 28, 2024

By combining knowledge graphs with RAG, GraphRAG addresses common challenges of large language models (LLMs), such as hallucinations, while enriching responses with domain-specific context for better quality and precision than traditional RAG methods.

Contextual Data 206

Contextual Data Data Enablement Modeling Analytics 206

bridgei2i

JULY 2, 2019

.’ By combining Data Engineering, Advanced Analytics, and proprietary AI Accelerators, BRIDGEi2i looks to deliver contextual AI-powered analytics solutions for improved customer experience and enhanced operational effectiveness. Advanced AI algorithms are also the benchmark to test AI-intuitive ideas and newer business models.’.

Marketing 45

Marketing Analytics Contextual Data Consulting 45

Alation

AUGUST 9, 2021

While we did not build a tool that looked like an interface from Minority Report, I did walk away with one major insight: People need to be able to change variables and model various versions of the future to take full advantage to find insights and make decisions. Any “modern” data analytics stack must allow people to work in familiar ways.

Analytics 98

Analytics Data-driven Data Analytics Contextual Data 98

CIO Business Intelligence

MARCH 6, 2025

But Hinchcliffe believes that Salesforce has an edge over rivals as it is leveraging its deep CRM expertise, its customers sales, service, and marketing data, and business logic integration to drive differentiation.

Testing 87

Testing Contextual Data Enterprise Experimentation 87