IBM Big Data Hub

APRIL 28, 2022

Data agility, the ability to store and access your data from wherever makes the most sense, has become a priority for enterprises in an increasingly distributed and complex environment. That’s where the data fabric comes in. Data fabric in action: Retail supply chain example.

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

Ontotext

JANUARY 10, 2024

There’s been a lot of criticism that knowledge graphs are too complex. So, why do we recommend knowledge graphs, which are perceived to be complex, to our customers? Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

IBM Big Data Hub

SEPTEMBER 12, 2022

Enterprises are dealing with a barrage of upcoming regulations concerning data privacy and data protection, not only at the state and federal level in the US, but also in a dizzying number of jurisdictions around the world. Adopting a privacy-centric approach built around a data fabric.

Metadata 91

Metadata Data Governance Enterprise Data Architecture 91

Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

AUGUST 16, 2024

Guillaume : At the heart of Ontotext solutions lies what we call a knowledge graph. Why do you think knowledge graphs are the best way to access knowledge? In this way, I can access not only the existing data but also connect other data points to it and enable machines to understand how to use it.

Modeling 69

Modeling Testing Interactive Marketing 69

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era. At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! LLM will not replace knowledge graphs either.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Ontotext

NOVEMBER 22, 2020

Knowledge graphs have been proven to be a powerful, scalable and intelligent technology for solving today’s complex business needs. Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Ontotext

SEPTEMBER 2, 2020

Organizations that invest time and resources to improve the knowledge and capabilities of their employees perform better. Staff turnover is the most obvious reason, but it might also be because management has new priorities resulting in skills and knowledge developed previously degrading. Knowledge graphs can help do both.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Ontotext

MARCH 23, 2023

Data management is becoming increasingly challenging for organizations. With an unprecedented amount and diversity of data coming from various sources, it’s like trying to put together a picture with pieces from different puzzles. In addition, there is a growing trend of automating data integration and management processes.

Management 52

Management Metadata Unstructured Data Data Integration 52

Ontotext

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. Data Fabric: Who and What?

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Data-driven Metrics 52

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Ontotext

JANUARY 25, 2024

In the current data management landscape, enterprises have to deal with diverse and dispersed data at unimaginable volumes. Among this complexity of siloed data and content, valuable business insights and opportunities get lost. This is a core component of most data fabric based implementations.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

Ontotext

SEPTEMBER 30, 2021

Large enterprises have identified knowledge graphs as a solid foundation for making data FAIR and unlocking the value of their data assets. Data fabrics built on FAIR data drive digital transformation initiatives that put companies ahead of the competition.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Ontotext

DECEMBER 15, 2022

Today’s enterprises are increasingly daunted by the realization that more data doesn’t automatically equal deeper knowledge and better business decisions. Obviously, not all of that data is accessible to businesses, but what they can access is still overwhelming. Connecting the dots of data of all types. Enter metadata.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

IBM Big Data Hub

JULY 25, 2022

Modern-day enterprises face a similar situation regarding data assets. On one side there is a need for data. Businesses ask: “Do we have this kind of data in the enterprise?” “How How do we get that data?” “Can Can I trust that data?” This discussion is more relevant with the advent of data fabric.

Metadata 66

Metadata Enterprise Consulting Publishing 66

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

IBM Big Data Hub

JUNE 21, 2022

Today, organizations are experiencing relentless data growth spurred by the digital acceleration of the past two years. While this period presents a great opportunity for data management, it has also created phenomenal complexity as businesses take on hybrid and multicloud environments. . How IBM built its own data fabric .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

Ontotext

OCTOBER 5, 2020

It is a cyber ecosystem of sorts – a dynamics of processes, communication technologies and data flows. An Aegis Built of Connected Data About Cyber Threats. Detection and prediction of cyber attacks is a challenging task for enterprise data and the architectures built to keep and manage these data. – Homer.

Risk Management 49

Risk Management Risk Data-driven Enterprise 49

Ontotext

JULY 12, 2024

Graph technologies are essential for managing and enriching data and content in modern enterprises. But to develop a robust data and content infrastructure, it’s important to partner with the right vendors. As a result, enterprises can fully unlock the potential hidden knowledge that they already have.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Ontotext

SEPTEMBER 7, 2023

And then from there, give us the elevator pitch of graph. We’ve been around for 20-plus years focusing on semantic knowledge graphs. Graph technologies are a way to store and represent data in a more graphical way. Most likely, anybody we’re talking to has multiple data sources. Doug : Sure.

Technology 59

Technology Visualization Digital Transformation Management 59

Ontotext

OCTOBER 28, 2021

In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days. You can also listen to our on-demand webinar on the same topic or check out our use case brief.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Ontotext

AUGUST 30, 2024

It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. During the target identification phase of drug development, several challenges related to data can impede progress.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. During the target identification phase of drug development, several challenges related to data can impede progress.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. It is too expensive.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. Architectures became fabrics. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Data fabric, data mesh, modern data stack. Tools became stacks.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Ontotext

APRIL 3, 2024

In this post we present you with insight gathered at the Knowledge Graph Forum during the panel on Financial Services. Read about the latest use cases and trends in the Financial Services industry and learn how Generative AI and LLMs complement with key capabilities of knowledge graphs. A graph can do that.

Technology 45

Technology Risk Digital Transformation Measurement 45

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Ontotext

FEBRUARY 23, 2023

Enterprise knowledge graphs (EKG) require graph databases, which serve multiple purposes. The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems.

Publishing 52

Publishing Metadata Optimization Testing 52

erwin

OCTOBER 4, 2021

Metadata management is essential to becoming a data-driven organization and reaping the competitive advantage your organization’s data offers. Gartner refers to metadata as data that is used to enhance the usability, comprehension, utility or functionality of any other data point. How the data has changed.

Metadata 52

Metadata Software Management Visualization 52

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. With the help of natural language processing (NLP), text documents can also be integrated with knowledge graphs.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

The Unofficial Google Data Science Blog

MARCH 24, 2025

by DAVID MEASE and AMIR NAJMI What does someone need to know in order to be a successful data scientist at Google? This blog post shares a set of questions that were answered by Google data scientists and how they did. How much knowledge of statistics and optimization is required?

Statistics 58

Statistics Testing Interactive Sales 58