CIO Business Intelligence

OCTOBER 1, 2022

It requires taking data from equipment sensors, applying advanced analytics to derive descriptive and predictive insights, and automating corrective actions. The end-to-end process requires several steps, including data integration and algorithm development, training, and deployment. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. Experimentation is important, but be explicit when you do. Start with “why?” Don’t fear growth.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

CIO Business Intelligence

NOVEMBER 21, 2023

The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt. Citizen data science reduces shadow IT when CIOs promote proactive data governance and establish data integration, cataloging, and quality practices.

IT 137

IT Risk Cost-Benefit Data Science 137

AWS Big Data

OCTOBER 19, 2023

In this post, we discuss different architecture patterns to keep data in sync and up to date between data lakes built on open table formats and data warehouses such as Amazon Redshift. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0 Apache Hudi 0.13.0 Delta Lake 2.0.0

Data Lake 121

Data Lake Data Warehouse Visualization Snapshot 121

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Data science and MLOps. AI is no longer experimental.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

Jet Global

DECEMBER 31, 2019

The tools for delving deep into the data of the business, identifying patterns, and making predictions on trends are making a real impact. Organizations need to become really comfortable with experimentation. The innovation process, where experimentation might live in an organization, has grown in popularity in the last few years.

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. In this post, we share how we built a well-governed and scalable data engineering platform using Amazon EMR for financial features generation.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

IBM Big Data Hub

OCTOBER 20, 2023

By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Cloudera

JUNE 6, 2019

At the other end of the spectrum, the admin may instantiate a number of low-priority dev clusters – these clusters may often run at capacity, not require performance guarantees, but also provide more agility and flexibility for experimentation.

Metadata 86

Metadata Data Lake Optimization Strategy 86

bridgei2i

APRIL 28, 2020

And so that process with curation or identifying which data potentially is a leading indicator and then test those leading indicators. It takes a lot of data science, a lot of data curation, a lot of data integration that many companies are not prepared to shift to as quickly as the current crisis demands.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

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 ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

Ontotext

NOVEMBER 6, 2019

GraphDB Workbench is the interface for Ontotext’s semantic graph database, which provides the core infrastructure including modelling agility, data integration, relationship exploration and cross-enterprise semantic data publishing and consumption.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Data sourcing – knowledge graphs enable deeper insights to be gained from distributed data. Domain knowledge must be linked to that data, requiring substantial ETL and data integration work.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Data sourcing – knowledge graphs enable deeper insights to be gained from distributed data. Domain knowledge must be linked to that data, requiring substantial ETL and data integration work.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

AWS Big Data

JULY 20, 2023

Additionally, partition evolution enables experimentation with various partitioning strategies to optimize cost and performance without requiring a rewrite of the table’s data every time. These robust capabilities ensure that data within the data lake remains accurate, consistent, and reliable.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. 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

CIO Business Intelligence

APRIL 9, 2025

This democratization is driving a seismic shift in data literacy throughout organizations, significantly changing how data is valued across every part of the enterprise. Organizations are now moving past early GenAI experimentation toward operationalizing AI at scale for business impact.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

CIO Business Intelligence

JUNE 16, 2022

A real-time data technology stack has to shrink this innovation gap for the business. . Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. Innovation at integration points.

IT 135

IT Experimentation IoT Data-driven 135

Occam's Razor

OCTOBER 19, 2010

Experimentation and Testing Tools [The "Why" – Part 1]. Experimentation and Testing Tools [The "Why" – Part 1]. I am forgetting the other 25 features these tools provide for free. I firmly believe that God created the internet so we could fail faster. I know of no other way to achieve one's global maxima on the web. LivePerson.

Analytics 136

Analytics Testing Measurement Optimization 136

CIO Business Intelligence

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140

CIO Business Intelligence

MARCH 18, 2025

Data insights agent analyzes signals across an organization to help visualize, forecast, and remediate customer experiences. Data engineering agent performs high-volume data management tasks, including data integration, cleansing, and security.

B2B 64

B2B Experimentation Optimization Journey Analytics 64

CIO Business Intelligence

MARCH 6, 2025

The blockchain experimentation thats happening is what youre willing to burn, and its more an experiment to see what is possible, but its not replacing your existing processes or tools. Fry sees eventual benefits in supply chain tracking and data integrity, situations where a secure and decentralized record can matter.

Insurance 131

Insurance Cost-Benefit Experimentation Technology 131