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 includes the reference data about business entities, agents, and people.

IT 69

IT Cost-Benefit Data-driven Technology 69

Alation

JANUARY 20, 2022

To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute. Quality policies for data and analytics set expectations about the “fitness for purpose” of artifacts across various dimensions. Step 4: Data Sources. Step 3: Business Impacts.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. Analytics as a Service (AaaS). The importance of customer analytics cannot be overstated in today’s world.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

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 97

Modeling Enterprise Cost-Benefit Data Science 97

AWS Big Data

MARCH 8, 2023

Change data capture (CDC) refers to the process of identifying and capturing changes made to data in a database and then delivering those changes in real time to a downstream system. This is especially important if you’re making time-sensitive decisions in a high-velocity data environment. Next, we configure Connector capacity.

Data-driven 76

Data-driven Testing Data Processing Management 76

Ontotext

OCTOBER 28, 2021

However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotext’s Life Sciences and Healthcare Data Inventory are not. Semantic Data Integration With GraphDB. Visual Ontology Modeling With metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

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 72

Enterprise Data Integration Data Quality Contextual Data 72

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. Perhaps a data mesh is what a pure architecture might design.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. Remember that digital transformation is about transforming your business and operating models with technology. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

AWS Big Data

APRIL 17, 2024

Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics. As your operational analytics data velocity and volume of data grows, bottlenecks may emerge.

Optimization 114

Optimization Snapshot Metadata Cost-Benefit 114

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For Host , enter the Redshift Serverless endpoint’s host URL. This is optional.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

AWS Big Data

MAY 21, 2024

Initially, searches from Hub queried LINQ’s Microsoft SQL Server database hosted on Amazon Elastic Compute Cloud (Amazon EC2), with search times averaging 3 seconds, leading to reduced adoption and negative feedback. The LINQ team exposes access to the OpenSearch Service index through a search API hosted on Amazon EC2.

Manufacturing 97

Manufacturing Sales Optimization Data Processing 97

CIO Business Intelligence

FEBRUARY 20, 2024

Recent research by McGuide Research Services for Avanade found 91% of organisations in the sector believe they need to shift to an AI-first operating model within the next 12 months, while 87% of employees feel generative AI tools will make them more efficient, and more innovative. This requires skillsets that firms may not have in-house.

Cost-Benefit 109

Cost-Benefit Data Lake Data Warehouse Data Processing 109

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). We have cataloging inside Datasphere: It allows you to catalog, manage metadata, all the SAP data assets we’re seeing,” said JG Chirapurath, chief marketing and solutions officer for SAP. “We

Unstructured Data 121

Unstructured Data Dashboards Business Intelligence Data Governance 121

IBM Big Data Hub

NOVEMBER 14, 2023

Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence. But few organizations have made the strategic shift to managing “data as a product.”

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. The reality of LLMs and other “narrow” AI technologies is that none of them is turn-key.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

IBM Big Data Hub

JANUARY 29, 2024

By updating a legacy system your business is embracing digital innovation and new business models. Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. This operating model increases operational efficiency and can better organize big data.

Digital Transformation 66

Digital Transformation Consulting Internet of Things Recreation/Entertainment 66

Alation

OCTOBER 28, 2021

Healthcare is changing, and it all comes down to data. Leaders in healthcare seek to improve patient outcomes, meet changing business models (including value-based care ), and ensure compliance while creating better experiences. Data & analytics represents a major opportunity to tackle these challenges.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Strategy Optimization 86

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. For Report path prefix , enter cur-data/account-cur-daily.

Reporting 87

Reporting Data Lake Management Optimization 87

Alation

JANUARY 17, 2023

This shift addresses a growing demand for data access, which the modern data stack enables with cloud-based services and integration. There has also been a paradigm shift toward agile analytics and flexible options, where data assets can be moved around more quickly and easily, and not locked into a single vendor.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

FineReport

MARCH 31, 2024

Acting as a comprehensive solution, the best BI tools collect and analyze company data to generate easily interpretable graphs, reports, and charts , leveraging advanced data mining, analytics, and visualization techniques. Best BI Tools for Data Analysts 3.1

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

datapine

MAY 17, 2021

Fundamentally, this is a term that describes the process through which businesses collect data from a variety of sources and apply it practically to generate real business value. Being a data-driven organization starts with understanding your data. So, what is data discovery? What is a data discovery platform?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MAY 24, 2023

This allows you to combine your Oracle Cloud data with other data from within the business so you can view the bigger picture. Our rich visualizations, including tabular and pivot reporting, are ideal for presenting financial and operational reporting data.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 15, 2023

On-prem ERPs are hosted and maintained by your IT department and typically can only be accessed via an in-office network connection or VPN remote connection. SaaS is the cloud equivalent; you get the same ERP software, but it is hosted by SaaS providers on cloud servers and can be accessed from anywhere via web browser.

Finance 52

Finance Reporting Cost-Benefit Software 52