CIO Business Intelligence

NOVEMBER 7, 2024

For example, because they generally use pre-trained large language models (LLMs), most organizations aren’t spending exorbitant amounts on infrastructure and the cost of training the models. And although AI talent is expensive , the use of pre-trained models also makes high-priced data-science talent unnecessary.

IT 132

IT Manufacturing Data Science Modeling 132

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. It has helped to write a book.

IT 349

IT Modeling Testing Risk 349

O'Reilly on Data

JANUARY 21, 2025

The Evolution of Expectations For years, the AI world was driven by scaling laws : the empirical observation that larger models and bigger datasets led to proportionally better performance. This fueled a belief that simply making models bigger would solve deeper issues like accuracy, understanding, and reasoning.

Cost-Benefit 302

Cost-Benefit Testing Interactive Software 302

CIO Business Intelligence

MAY 20, 2025

Each of the new packages includes Cloud ERP, business applications, SAP Business Data Cloud (BDC), SAP Business AI, powered by the SAP Business Technology Platform (BTP). SAP Customer Experience Packages: These combine sales and service commerce, marketing automation, customer data management and salesforce automation.

IT 106

IT Manufacturing Finance Enterprise 106

CIO Business Intelligence

FEBRUARY 26, 2025

We actually started our AI journey using agents almost right out of the gate, says Gary Kotovets, chief data and analytics officer at Dun & Bradstreet. In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

NOVEMBER 1, 2024

Re-platforming to reduce friction Marsh McLennan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

MAY 23, 2025

A network of hardware and software is used for this, known as Supervisory Control and Data Acquisition (SCADA), usually connected to a human machine interface (HMI). In contrast, classicIT revolves around systems that manage data and applications. They generate an average annual turnover of 3.2 billion and employ 10,700 people.

IT 101

IT Cost-Benefit Manufacturing Reporting 101

O'Reilly on Data

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Two big things: They bring the messiness of the real world into your system through unstructured data.

Testing 177

Testing Data-driven Software Measurement 177

CIO Business Intelligence

NOVEMBER 1, 2024

Re-platforming to reduce friction Marsh McLellan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says.

IT 105

IT Insurance Consulting Risk 105

Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions. Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn.

Deep Learning 381

Deep Learning Machine Learning Data-driven Data Science 381

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

David Menninger's Analyst Perspectives

MAY 14, 2025

Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. Data governance is integral to an overall data intelligence strategy.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

CIO Business Intelligence

MARCH 25, 2025

These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities? Types of data debt include dark data, duplicate records, and data that hasnt been integrated with master data sources.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

David Menninger's Analyst Perspectives

MAY 21, 2025

Early tools applied rudimentary machine learning (ML) models to customer relationship management (CRM) exports, assigning win probability scores or advising on the ideal time to call. The root cause of the problem came down to data quality. Unfortunately, relying on the manual entry of this type of data is a fool's errand.

Sales 130

Sales Measurement Data-driven Dashboards 130

CIO Business Intelligence

MARCH 4, 2025

The challenge, however, will be compounded when multiple agents are involved in a workflow that is likely to change and evolve as different data inputs are encountered, given that these AI agents learn and adjust as they make decisions. Its an emerging field, says Tom Coshow, senior director analyst of AI at Gartner.

Management 119

Management IT Cost-Benefit Enterprise 119

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

David Menninger's Analyst Perspectives

APRIL 30, 2025

In an earlier Analyst Perspective , I discussed data democratizations role in creating a data-driven enterprise agenda. Building a foundation of self-service data discovery , data-driven organizations provide more workers with the ability to analyze and use data.

Data-driven 130

Data-driven Enterprise Metrics Dashboards 130

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

David Menninger's Analyst Perspectives

MAY 20, 2025

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Facilitating self-service data analytics was an early design goal for Domo, providing the company with differentiation compared to many of its rivals.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

CIO Business Intelligence

JANUARY 3, 2025

At the same time, the scale of observability data generated from multiple tools exceeds human capacity to manage. Observability builds on the growth of sophisticated IT monitoring tools, starting with the premise that the operational state of every network node should be understandable from its data outputs.

IT 105

IT Cost-Benefit Data Science Data-driven 105

CIO Business Intelligence

JANUARY 7, 2025

Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

DECEMBER 19, 2024

So far, no agreement exists on how pricing models will ultimately shake out, but CIOs need to be aware that certain pricing models will be better suited to their specific use cases. Lots of pricing models to consider The per-conversation model is just one of several pricing ideas.

Cost-Benefit 128

Cost-Benefit Modeling ROI Marketing 128

CIO Business Intelligence

MAY 15, 2025

trillion into data centers by 2030 to add 125 gigawatts of AI-related capacity. The result is a more responsive, data-driven organization that can pivot as circumstances evolve. We are standing at a once-in-a-generation inflection point that will rival the most transformative infrastructure eras in US history.

IT 104

IT Consulting Management Risk 104

Analytics Vidhya

SEPTEMBER 11, 2023

RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategies and Optimization appeared first on Analytics Vidhya.

Optimization 353

Optimization Strategy Data-driven Interactive 353

David Menninger's Analyst Perspectives

JANUARY 15, 2025

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

CIO Business Intelligence

APRIL 24, 2025

Enterprises worldwide are harboring massive amounts of data. Although data has always accumulated naturally, the result of ever-growing consumer and business activity, data growth is expanding exponentially, opening opportunities for organizations to monetize unprecedented amounts of information.

Data-driven 134

Data-driven Marketing Risk Sales 134

CIO Business Intelligence

OCTOBER 25, 2024

Moreover, in the near term, 71% say they are already using AI-driven insights to assist with their mainframe modernization efforts. Many Kyndryl customers seem to be thinking about how to merge the mission-critical data on their mainframes with AI tools, she says. I believe you’re going to see both.”

Data-driven 133

Data-driven Strategy Modeling Technology 133

Cloudera

JANUARY 7, 2025

For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. In order for data to bring true value to operationsand ultimately customer experiencesthose data insights must be grounded in trust. Data needs to be an asset and not a commodity. What’s the reason for data?

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

CIO Business Intelligence

NOVEMBER 26, 2024

Data is the lifeblood of the modern insurance business. Yet, despite the huge role it plays and the massive amount of data that is collected each day, most insurers struggle when it comes to accessing, analyzing, and driving business decisions from that data. There are lots of reasons for this.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. Gen AI holds the potential to facilitate that.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

NOVEMBER 28, 2024

Uber no longer offers just rides and deliveries: It’s created a new division hiring out gig workers to help enterprises with some of their AI model development work. Data labeling in particular is a growing market, as companies rely on humans to check out data used to train AI models.

Manufacturing 121

Manufacturing Data-driven Marketing Testing 121

CIO Business Intelligence

JANUARY 21, 2025

Whereas robotic process automation (RPA) aims to automate tasks and improve process orchestration, AI agents backed by the companys proprietary data may rewire workflows, scale operations, and improve contextually specific decision-making.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Analytics Vidhya

MARCH 23, 2023

The recent incident of ChatGPT, an advanced AI language model by OpenAI, inadvertently leaking user chat titles has raised concerns about user privacy and data protection in AI-driven platforms.

Data-driven 328

Data-driven Modeling Analytics IT 328

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130