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The Smart Data Blog
Why your AI tech stack needs a Knowledge Graph
Discover the Business Value of Adopting A Data Semantics Approach
Enterprise Data Management at Scale Now Requires Knowledge Graph Technologies
Standing up a Knowledge Graph in Minutes
The Answers To Your Generative AI & Knowledge Graph Questions
How Generative AI with Knowledge Guru Empower Operational Excellence
Unlocking Self-service Enterprise Analytics with Generative AI and Knowledge Guru
From Islands of Excellence to Connected Ecosystems: A Look at Data Architecture Trends
Why Knowledge Graphs Are Central to Industry 4.0 Initiatives
What's upcoming from Cambridge Semantics in 2023
What’s the Difference between Data Fabric and Data Mesh? And what’s really important.
AI and Knowledge Graph; why their combination is important
Cambridge Semantics Recognized in Numerous Gartner Reports
20 Answers to Your Graph Database Questions
Knowledge Graphs - The Future of Data Integration
The skills & expertise required for knowledge graph success
The drivers of business data strategies: Agility, Speed, and Trust
An Honest Review of Cambridge Semantics
Introducing Anzo 5.3 – Enhancing the Leading Knowledge Graph Platform
Supply Chain Risk Analysis with Anzo Network Navigator
Semantic Product Lifecycle Management with Knowledge Graphs
Power a 360 Degree View of an Operation with Knowledge Graph
Building a Regulatory Data Fabric from Publicly Available Sources
Your Knowledge Graph Questions, Answered
The Future of Data Management, Collective Intelligence & the Wisdom of Knowledge Graphs
Knowledge Graph Best Practice Series - Preparation
Knowledge Graph Best Practices | Required Roles and Skills
Knowledge Graph Best Practices | Selecting Your First Use Case
Integrating Unstructured Data Sources into an Enterprise-Scale Knowledge Graph
Knowledge Graph Best Practices | Building Momentum
Knowledge Graph Best Practices | An Introduction
The Automotive Knowledge Graph
Can Graph Integrate Data At Scale? Hint: Yes, but the answer isn’t what you think.
Getting Started on Building Your Data Fabric
Knowledge Graph Technology for a Data Fabric
SPARQL - One Standard to Rule them All
Why a data fabric wins out over traditional architecture
The differences between data integration architecture concepts
Merck KGaA, Bosch, and Deloitte share their knowledge graph stories
Build knowledge cards of your data, the way Google does for search
Why There’s A Need for Knowledge Graphs
5 Common Barriers to Launching a Knowledge Graph Project
Accelerating Data Science Discovery with Knowledge Graphs
Managed Vocabularies, Ontologies, and an Enterprise Scale Knowledge Graph: A Primer
Knowledge Graph: Who Cares? And What Can One Do With It?
Machine Understandable Context and Why It Matters
Knowledge Graphs: Origins, Inhibitors and Breakthroughs
AI, ML and Advanced Analytics Strategies: Look Before You Leap
The Rise of the Knowledge Graph
Knowledge Graphs: A Love Affair
Starting at the Finish Line: How Anzo’s Upcoming Release Will Create a Knowledge Graph with the Click of a Button
Data Fabrics: The Killer Use Case for Knowledge Graphs
The Six Essential Requirements for the Scalable Knowledge Graph
Knowledge Graphs: Breaking the Cycle of the AI-data Paradox
Life Sciences & Healthcare: Two Industries Separated by Common Data (Three-part Series)
'The State of Graph Databases in 2020' Tweet Chat
AnzoGraph DB is now a Graph Database that Supports Geospatial
Cambridge Semantics Recognized for Leadership in Use of OLAP Knowledge Graph Technology for Accelerated Data Integration
Overcoming Common Barriers to the Knowledge Graph
All Aboard the S.S. Kubernetes!
Best Practices for Integrating IoT Data with Knowledge Graphs
MPP Data Virtualization
AnzoGraph® DB Benchmarking Guide
Perfecting Homeowner Insurance with the Internet of Things
Announcing AnzoGraph® DB Version 2
Taming the Integration Demands of Usage Based Insurance
The End of ETL is the Beginning of the IoT
The IoT’s Killer Enabler: Data Integration
Creating an Intelligent Internet of Things with Data Fabrics
Educating the Internet of Things: Machine Intelligence of Semantics
Automating the IoT with Semantic Interoperability
'Data, data everywhere....'
Should a Graph Database Be in Your Next Data Warehouse Stack? [Slideshare]
Why We Built a Graph Database that Deploys in Containers
Four Key Reasons Semantics and Graph Models are Essential to the Enterprise Data Fabric
The Benefits of Graph Databases [Infographic]
The Data Fabric Universe [Infographic]
Take Advantage of the Metadata Benefits of Graph Databases
EDM Council and Financial Services Uses Cases for Knowledge Graphs
Breaking Data Silos - Three Keys For Success
The Year of the Graph in Review & the Emergence of Graph OLAP Databases
Think Bigger with Graph - the Killer App Is Integration
Why Knowledge Graph for Financial Services? Real World Use Cases
Cambridge Semantics' Top 10 Blogposts of 2018
Understanding Graph Databases
The Power of GOLAP & Parallelism: Supercharge Your Database’s Analytics Capabilities
In Search of the Healthcare Industry Lighthouse
If You’re Not Using Graph OLAP, Here’s Why You Should
What Is a Graph Database?
The Internet of Things and the Future of Information
Healthcare Has Become a Data Problem
It’s a Matter of Semantics – Reinventing Healthcare
Data Summit 2018 and the Rise of Graph Databases
Creating a Successful Enterprise Knowledge Graph
Why a Semantic Layer Over Hadoop Makes Sense
AnzoGraph: Free Preview on AWS of Best-in-Class Real-Time Analytics (Graph OLAP) Product
Understanding the Role of the Semantic Layer in Enterprise Data Discovery
Diving Deeper into HL7 Standards with the Anzo Smart Data Lake
[Slideshare] The Year of the Graph
Q&A with President Alok Prasad on 2017: A Year of Growth and Innovation
"What’s In / What’s Out for 2018" from the EDM Council
Thomson Reuters, Graph-Based Data Analytics and Serendipity
Most Popular Posts of 2017 from The Smart Data Blog
Why Should Businesses Care About Amazon's Neptune Announcement?
Q&A with Sean Martin, CTO and Co-founder, on Anzo Smart Data Lake 4.0
Our Perspectives on Strata Data 2017
[Slideshare] Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Information Fabric
An Integrated Approach to Big Data Management & Analytics Using a Semantic Layer
Creating Semantic Layers to Realize Information Fabrics
Kudos to the Cambridge Team for Recent Industry Awards!
Semantic Layers for On-Demand Data Access
Using a Semantic-Based Solution for GDPR Compliance
How Big Data and the Smart Grid Will Benefit Energy Users
Meaning – The Conqueror of Most Maladies
Amazon and Whole Foods – Big Data Comes to Retail
Taming the Big Data Beast of Retail Supply Chain Management
The Role of Big Data Analytics in the Era of the Smart Grid
Smart HR - Using Big Data to Find and Retain Quality Candidates
Adaptive Technology for Complex Organizations
Q&A with Dan Szot, Our New VP Sales, Life Sciences and Healthcare
Managing New Streams of Data in the IoT Era
No Decisions Until It's Time
Accelerating Insight with High-Octane Graph-Fueled Data [Slideshare]
2017 Update: The First 100 Days of Big Data
Accelerating Insight - Smart Data Lake Customer Success Stories [Slideshare]
Leveraging Semantic Web Technologies to Create Information on Demand
Riding The Competitive Intelligence Automation Wave - Part 2
Show Recap: Gartner Data & Analytics Summit 2017
Riding The Competitive Intelligence Automation Wave - Part 1
Q&A with Carl Reed, Enterprise Architect, Technology Strategist and Advisor
[Slideshare] Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" of Data Management
Tweet Chat: Big Data in the Financial Services Industry
Leveraging Semantic Web Technologies for Improved Decision Making
How Big Data Is Disrupting the World of Insurance
Q&A with Sam Chance, Our New Managing Director of Pre-Sales
2016: The Year of the Financial Smart Data Lake
Transforming Data Management and Time to Insight with Anzo Smart Data Lake® [Slideshare]
Ten Reasons to Dive into the Smart (Semantic) Data Lake
Five Big Data Industry Predictions for 2017 from Our CEO
Allow Us to Introduce Ourselves
Cambridge Semantics Shatters Previous Record of Loading and Querying ‘Trillion Triples’ by 100X - So What?
The Top 6 Most Popular Smart Data Blog Posts of 2016
Data Analytics Key to Curbing Wall Street Crime, Says SEC Chair
What Is a Data Mart?
Insight Platforms: Turning Big Data into Action
Government ‘Open Data’ Initiatives Should Incorporate ‘Smart Data’, Too
[Slideshare] Smart Data Lakes: Revolutionizing Enterprise Analytics
Show Recap: Strata + Hadoop World 2016
2016 Life Sciences Smart Data Discovery & Analytics Forum [Slideshare]
Why Data Discovery Demands Data Visualization
The Rising Strategic Value of the Chief Data Officer
Smart Data Analytics
The Tale of Two Data Lakes: Smart Data Lake® vs Traditional Data Lake
Q&A with Steve Hamby, Managing Director Government
Top 5 Ways Government Agencies Can Benefit from Smart Data Solutions
Cambridge Semantics to Present at 2016 Enterprise DATAVERSITY: Data Strategy and Analytics Forum
Semantics 101
Diving Deeper into HL7 Standards with the Smart Data Lake
5 Recommendations for Big Data Success as a Chief Data Officer
Enabling Data Scientists by Reducing the Burden of IT
Smart Data Discovery
Semantic Graph Databases: The Evolution of Relational Databases [SlideShare]
CDISC and Smart Data Lakes: Extracting Value from Clinical Trial Data
Retail Analytics with Smart Data
ACORD: The Semantic Approach to the Insurance Industry
Introduction to Anzo Unstructured [SlideShare]
Finding Alpha in Diverse Data
The 3 Vs of RDF Graph Databases
Calculating the ROI of a Smart Data Lake
Diving in: What Is a Data Lake?
Smart Data Lake or Data Landfill? The Difference May Be "Semantic" [SlideShare]
#SmartDataChat on Twitter Examines Governance in Era of Big Data
Anzo Smart Data Manager and the Necessity of Data Transformation
A New Approach to BCBS 239 and Beyond: The Smart (Semantic) Data Lake
Transformational Text Analytics Flowing into Analytics for Enterprises
Enterprise Analytics at Scale Using Graph Database [Slideshare]
Welcome to the Semantic – or ‘Smart’ – Data Lake Revolution
Data Warehouse vs Data Lake: Understanding the Evolution
How to Build a Smart Data Lake Using Semantics [Slideshare]
The Triple Crown of Graph Databases: Anzo Graph Query Engine
Democratize Data Without Creating Anarchy Using Smart Data Lakes [Slideshare]
Controlling Data Governance with Semantics
FIBO, FIBO, It's Off to Work We Go
The Evolution of Insight: Exploratory Analytics
5 Reasons Gartner BI & Analytics Summit Attendees Flooded the Cambridge Semantics Booth
Winning the Wild Wild West of Data Lakes
The Need For Anzo Unstructured
The Three Pitfalls of Data Lakes
Revolutionizing Analytics with Semantic Data Lakes
Cambridge Semantics' Richard Mallah at NIPS 2015
In Case You Missed It: On-demand Webinar on Smart Data Lakes
5 Data Lake Capabilites Essential to Business Success
Retiring (Your Applications) to the Lake
Interested in Apache Spark without the Coding?
Key Regulatory Reporting Challenges Solved by the Smart Data Lake
Smart Data: A Powerful New Way to Manage Risk and Compliance
The Smart Data Lake
The Perfect Storm for Data
Understanding Smart Data Integration in Just 2 Minutes
Future of Text Analytics: A report from Text Analytics World
