CIO Business Intelligence

MARCH 7, 2023

Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH DB SYSTEL GmbH Content generation is also an area of particular interest to Michal Cenkl, director of innovation and experimentation at Mitre Corp. “I Some people are even using these large language models as a way to clean unstructured data,” he says. Mitre Corp.

Enterprise 116

Enterprise IT Unstructured Data Experimentation 116

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion on retail businesses through 2029.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

DataRobot

DECEMBER 16, 2021

While it is easy to accumulate text data, it can be extremely difficult to analyze text due to the ambiguity of human language. It is precisely because of the large volume and complexities of navigating unstructured data that DataRobot has focused on assisting our users to unlock insights from text. More Value with Less Efforts.

Unstructured Data 98

Unstructured Data Experimentation Deep Learning Modeling 98

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

Jedox

SEPTEMBER 11, 2019

There are many reasons why such technology isn’t available yet—insufficient data, unstructured data and some human knowledge that is not yet transferable to machine. Experimental” Technology. Is AI truly experimental technology? In most cases, the answer is no.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

Cloudera

OCTOBER 8, 2020

But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 Ninety-five percent of businesses cite the need to manage unstructured data as a real problem. By 2025 nearly all data generated will be in real-time. trillion a year.

Digital Transformation 106

Digital Transformation Unstructured Data Experimentation Uncertainty 106

Occam's Razor

NOVEMBER 5, 2007

Every solid web decision making program (call it Web Analytics or Web Metrics or Web Insights or Customer Intelligence or whatever) in a company will need to solve for the Five Pillars: ClickStream, Multiple Outcomes, Experimentation & Testing, Voice of Customer and Competitive Intelligence. That last part is critical.

Analytics 98

Analytics Experimentation Metrics Measurement 98

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

CIO Business Intelligence

AUGUST 17, 2023

In general, we see a small number of organizations using generative AI based on a strategy or plan, shaped by clear policies, and a lot of grassroots experimentation, but that’s almost always happening in a strategy vacuum.” But CIOs are vocal about the importance of robots working in tandem with people.

Risk 98

Risk Cost-Benefit Strategy Unstructured Data 98

CIO Business Intelligence

AUGUST 21, 2024

But multiagent AI systems are still in the experimental stages, or used in very limited ways. These databases allow us to efficiently store and query large amounts of unstructured data, which is essential for many of our AI applications,” he says. There are already gen AI platforms that can handle images, audio, and even video.

Risk 136

Risk Insurance Cost-Benefit Software 136

Domino Data Lab

JULY 2, 2019

One-size-fits-all (OSFA) is a harmful myth in data science work, and no one data framework will fit all of your use cases and needs. several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. Sell 1 (PVH, PVH) 2022-09-06 18321.729571 55.15

Snapshot 105

Snapshot Data Lake Testing Strategy 105

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

CIO Business Intelligence

APRIL 9, 2025

This capability has become increasingly more critical as organizations incorporate more unstructured data into their data warehouses. This democratization is driving a seismic shift in data literacy throughout organizations, significantly changing how data is valued across every part of the enterprise.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Sisense

MARCH 26, 2021

When it comes to using data to increase innovation, Charles is a proponent of making organizations into what he calls “revenue stream innovation factories.” To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

CIO Business Intelligence

OCTOBER 31, 2024

There’s value in that kind of tinkering and experimentation on the employee level, but you want to do it safely,” says Nick van der Meulen, a research scientist at MIT CISR. “A In some cases, the value of AI solutions can become evident sooner than the value of AI tools, Wixom says. “If

Data-driven 142

Data-driven Unstructured Data Experimentation Consulting 142

CIO Business Intelligence

MAY 6, 2025

For example, by analyzing customer feedback, including unstructured data such as reviews and social media comments, AI helps organizations operationalize that feedback to improve training, policies, and hiring, Mazur says. Employees are already experimenting with LLMs and uncovering ways to adapt their work with agentic AI.

Digital Transformation 143

Digital Transformation Testing Data-driven Cost-Benefit 143

CIO Business Intelligence

FEBRUARY 7, 2025

When it comes to productivity, finding the right data is consistently the number one pain point hindering employees performance, according to Peter Nichol , Data & Analytics Leader for North America at Nestl Health Science. Data surrounds employees every day.

Insurance 93

Insurance Business Driver Unstructured Data Experimentation 93

CIO Business Intelligence

MAY 6, 2025

Customer data in Salesforce, product usage data in Snowflake and financials in Oracle none integrated Regional systems using different naming conventions and field formats This fragmentation leads to inconsistent definitions, duplication of work and multiple versions of the truth. Thats a missed opportunity.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78