CIO Business Intelligence

DECEMBER 10, 2024

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. That doesnt mean investments will dry up overnight. Many early gen AI wins have centered around productivity improvements.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

APRIL 5, 2023

In a joint study with Markus Westner and Tobias Held from the department of computer science and mathematics at the University of Regensburg, the 4C experts examined the topic by focusing on how the IT value proposition is measured, made visible, and communicated. This serves as a starting point for measuring IT value proposition.

Measurement 133

Measurement IT Metrics Consulting 133

CIO Business Intelligence

OCTOBER 22, 2024

AI deployment will also allow for enhanced productivity and increased span of control by automating and scheduling tasks, reporting and performance monitoring for the remaining workforce which allows remaining managers to focus on more strategic, scalable and value-added activities.”

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

CIO Business Intelligence

MARCH 25, 2025

Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Using the companys data in LLMs, AI agents, or other generative AI models creates more risk.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Additionally, while the tools available at the time enabled data teams to respond to quality issues, they did not provide a way to identify quality thresholds or measure improvement, making it difficult to demonstrate to the business the value of time spent remedying data-quality problems. With

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

OCTOBER 23, 2024

In a survey of 451 senior technology executives conducted by Gartner in mid-2024, a striking 57% of CIOs reported being tasked with leading AI strategies. While some of the surveyed employees in the US, the UK, Australia, India, and China reported saving an average of 3.6 As a CIO, you need to understand your AI bill,” LeHong stressed.

Enterprise 141

Enterprise Cost-Benefit Broadcasting Risk 141

CIO Business Intelligence

SEPTEMBER 10, 2024

The US Department of Commerce’s Bureau of Industry and Security (BIS) plans to introduce mandatory reporting requirements for developers of advanced AI models and cloud computing providers.

Reporting 131

Reporting Measurement Testing Risk 131

CIO Business Intelligence

APRIL 30, 2025

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. Another area is democratizing data analysis and reporting.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

NOVEMBER 18, 2024

As a result, organisations are continually investing in cloud to re-invent existing business models and leapfrog their competitors. What began as a need to navigate complex pricing models to better control costs and gain efficiency has evolved into a focus on demonstrating the value of cloud through Unit Economics.

Measurement 111

Measurement Modeling Forecasting Metrics 111

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. When financial data is inconsistent, reporting becomes unreliable.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

JANUARY 21, 2025

AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

JULY 1, 2024

Shortcomings in incident reporting are leaving a dangerous gap in the regulation of AI technologies. Incident reporting can help AI researchers and developers to learn from past failures. Novel problems Without an adequate incident reporting framework, systemic problems could set in.

Reporting 129

Reporting Risk Management Experimentation Risk 129

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Sources of model risk. Model risk management. Image by Ben Lorica.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

CIO Business Intelligence

FEBRUARY 4, 2025

Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. This only fortified traditional models instead of breaking down the walls that separate people and work inside our organizations. And its testing us all over again.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

OCTOBER 7, 2020

We have written about management reporting methods that can be utilized in the modern practice of creating powerful analysis, bringing complex data into simple visuals, and employ them to make actionable decisions. Try our professional reporting software for 14 days, completely free! What gets measured gets done.” – Peter Drucker.

KPI 269

KPI Metrics Sales Visualization 269

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 277

Machine Learning Risk Management Statistics 277

Paul Turley

FEBRUARY 8, 2023

usiness users often need to know how fresh the data is that they see on a Power BI report. or "when was the last date & time that the data model was refreshed?" This requirement can be interpreted to mean either "when was the last date & time that the source data was updated?"

Measurement 122

Measurement Reporting Modeling 122

CIO Business Intelligence

FEBRUARY 7, 2024

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

Testing 124

Testing Reporting Risk Publishing 124

O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”.

Management 314

Management Machine Learning Metrics Modeling 314

CIO Business Intelligence

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

DECEMBER 30, 2024

Small language models and edge computing Most of the attention this year and last has been on the big language models specifically on ChatGPT in its various permutations, as well as competitors like Anthropics Claude and Metas Llama models. Today this happens with meetings and reports, says Malhotra.

ROI 141

ROI Software Modeling Interactive 141

CIO Business Intelligence

NOVEMBER 4, 2024

AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge. In an era of global technology skills shortages, CIOs report that finding specialized skills is becoming harder and more expensive.

Finance 89

Finance Sales Reporting Optimization 89

CIO Business Intelligence

JULY 10, 2024

At many companies, executives are advocating for comprehensive environmental measures, investors are demanding more sustainable ventures, and customers are increasingly seeking low-carbon products to combat pollution and preserve biodiversity. The challenges to accomplishing this are substantial.

Reporting 102

Reporting KPI Metrics Software 102

DataKitchen

SEPTEMBER 20, 2021

Eighty percent of companies surveyed reported five or more errors per month. Thirty percent of respondents reported more than 11 errors per month. When data errors corrupt reports and dashboards, it can be highly uncomfortable for the manager of the data team. Measurement DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

O'Reilly on Data

JUNE 24, 2020

The argument is that some systems are intrinsically difficult to model. You can’t control for, or even measure, several of these factors. Wearing masks as a prophylactic measure isn’t the big cultural leap that it has been in the United States. What does that mean?

Measurement 335

Measurement Testing Interactive Modeling 335

AWS Big Data

OCTOBER 21, 2024

As a producer, you can also monetize your data through the subscription model using AWS Data Exchange. To achieve this, they plan to use machine learning (ML) models to extract insights from data. Amazon QuickSight is used to read from Amazon Athena and generate reports. Amazon Athena is used to query, and explore the data.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

CIO Business Intelligence

OCTOBER 10, 2022

Bass further expanded the concept to include ways for measuring the success of transformational leadership. This model encourages leaders to demonstrate authentic, strong leadership with the idea that employees will be inspired to follow suit. Transformational leadership model.

Modeling 145

Modeling Digital Transformation Software Manufacturing 145

CIO Business Intelligence

OCTOBER 24, 2023

Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them. In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks.

Modeling 119

Modeling Risk Reporting Machine Learning 119

CIO Business Intelligence

JANUARY 18, 2024

Recognizing this need, we have created a cutting-edge VSM maturity model. Drawing upon our extensive experience facilitating successful VSM initiatives within large-scale enterprises, this model serves as a compass, offering insights into their current VSM maturity and providing practical direction to advance and reap the additional benefits.

Digital Transformation 119

Digital Transformation Modeling Management Data-driven 119

datapine

JANUARY 24, 2021

Additionally, incorporating a decision support system software can save a lot of company’s time – combining information from raw data, documents, personal knowledge, and business models will provide a solid foundation for solving business problems. There are basically 4 types of scales: *Statistics Level Measurement Table*.

IT 317

IT Statistics KPI Data-driven 317

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. These needs are then quantified into data models for acquisition and delivery.

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Machine learning and AI require data—specifically, labeled data for training models.

Big Data 272

Big Data Technology Machine Learning Deep Learning 272

O'Reilly on Data

MARCH 23, 2023

It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, is one of a class of language models that are sometimes called “large language models” (LLMs)—though that term isn’t very helpful. with specialized training.

IT 348

IT Modeling Testing Risk 348

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Central DataOps process measurement function with reports. The center of excellence (COE) model leverages the DataOps team to solve real-world challenges. DataOps Center of Excellence.

Metrics 243

Metrics Experimentation Measurement Testing 243

AWS Big Data

JANUARY 15, 2025

In the following section, two use cases demonstrate how the data mesh is established with Amazon DataZone to better facilitate machine learning for an IoT-based digital twin and BI dashboards and reporting using Tableau. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau.

IoT 111

IoT Machine Learning Metadata Data-driven 111

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Health care has hundreds of languages.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279