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. As a result, most businesses remain saddled with complexity, department silos, and old ways of doing things. We didnt challenge our own conventions.

Digital Transformation 144

Digital Transformation Sales Optimization Enterprise 144

CIO Business Intelligence

JANUARY 15, 2025

As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.

Cost-Benefit 124

Cost-Benefit Data-driven Enterprise Risk 124

O'Reilly on Data

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

IT 364

IT Testing Experimentation Software 364

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Let’s Discuss These 10 Business Intelligence Trends.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

MAY 22, 2025

A digital twin is a digital replica of a physical object, system or process that uses real-time data and AI-driven analytics to replicate and predict the behaviour of its real-world counterpart. The real-world object or system being modeled. Digital model. Data integration. Analytics and simulation. Visualization.

Enterprise 112

Enterprise Visualization Key Performance Indicator Machine Learning 112

CIO Business Intelligence

NOVEMBER 1, 2024

No matter what market you operate in, AI is critical to keeping your business competitive. When considering how to work AI into your existing business practices and what solution to use, you must determine whether your goal is to develop, deploy, or consume AI technology. And for additional information click here.

Recreation/Entertainment 119

Recreation/Entertainment Machine Learning Modeling Data Science 119

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. A buyers needs must intersect with a sellers solution, and any misalignment is rarely the fault of the product. Some of that future will materialize.

Sales 130

Sales Measurement Data-driven Dashboards 130

CIO Business Intelligence

NOVEMBER 11, 2024

Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. Only 13% plan to build a model from scratch.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

DECEMBER 20, 2024

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. A data pipeline is the process in which data is collected, moved, and refined. AI and machine learning models. Curate the data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

DECEMBER 5, 2024

To overcome this, many CIOs originally adopted enterprise data platforms (EDPs)—centralized cloud solutions that delivered insights quickly, securely, and reliably across various business units and geographies. This shift streamlines operations, enhances business insights, and unlocks the full potential of data.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

O'Reilly on Data

FEBRUARY 19, 2021

The data that powers ML applications is as important as code, making version control difficult; outputs are probabilistic rather than deterministic, making testing difficult; training a model is processor intensive and time consuming, making rapid build/deploy cycles difficult. Natural Language Processing Advances Significantly.

Data Lake 362

Data Lake Machine Learning Data Warehouse Modeling 362

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

OCTOBER 24, 2024

Take for instance large language models (LLMs) for GenAI. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. This puts businesses at greater risk for data breaches. Businesses’ increased use of AI, too, is transforming cybersecurity roles.

Risk 128

Risk Measurement Optimization Machine Learning 128

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. This kind of business process outsourcing (BPO) isn’t new. Uber is also recruiting corporate positions for the division in San Francisco, New York, and Chicago.

Manufacturing 121

Manufacturing Data-driven Marketing Testing 121

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. Addressing these challenges requires a carefully designed architecture and advanced technical solutions.

Snapshot 97

Snapshot Recreation/Entertainment Experimentation Data Lake 97

AWS Big Data

JANUARY 15, 2025

Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational performance. This process is shown in the following figure.

IoT 110

IoT Machine Learning Metadata Data-driven 110

O'Reilly on Data

MAY 14, 2020

To understand the skills that product managers need, we’ll start with the process of product development, then consider how this process differs in different kinds of organizations. Understanding exactly what you’re doing, and how it relates to other kinds of projects, will be a huge help in researching and building solutions.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

DECEMBER 11, 2024

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

FEBRUARY 6, 2025

My work centers around enabling businesses to leverage data for better decision-making and driving impactful change. The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. This article reflects some of what Ive learned.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

DECEMBER 9, 2024

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Businesses that see AI as a replacement for skilled and experienced workers will go down the wrong path.

Enterprise 116

Enterprise Cost-Benefit ROI Measurement 116

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. It is easy to get overwhelmed when trying to evaluate different solutions and determine whether they will help you achieve your DataOps goals. Process Analytics. DataOps is a hot topic in 2021.

Testing 304

Testing Machine Learning Consulting Data Science 304

O'Reilly on Data

SEPTEMBER 15, 2020

They are business stakeholders, customers, and users. My book, AI for People and Business , introduces a framework that highlights the fact that both people and businesses can benefit from AI in unique and different ways. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g.,

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

MAY 21, 2025

Thousands of fast-moving startups emerge with AI built into the core of their products and processes, working faster and more efficiently. At the same time, large enterprise organizations are trying to retroactively fit AI into the processes they have been following for years a near-impossible task.

Metrics 103

Metrics Data Quality Enterprise ROI 103

CIO Business Intelligence

OCTOBER 30, 2024

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. To learn more about how enterprises can prepare their environments for AI , click here.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

CIO Business Intelligence

MARCH 19, 2025

AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Devin scored nearly 14%.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

NOVEMBER 18, 2024

Cloud can unlock new capabilities to strategically drive the business. As a result, organisations are continually investing in cloud to re-invent existing business models and leapfrog their competitors. Understanding this relationship is crucial in providing valuable context on cloud expenditure.

Measurement 111

Measurement Modeling Forecasting Metrics 111

CIO Business Intelligence

JANUARY 21, 2025

Experienced CIOs know there is never a blank check for transformation and innovation investments, and they expect more pressure in 2025 to deliver business value from gen AI investments. Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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, gen AI is an adjunct, used to boost productivity of individual team members.

Software 141

Software ROI Modeling Interactive 141

Analytics Vidhya

MARCH 4, 2024

Introduction How do you tackle the challenge of processing and analyzing vast amounts of data efficiently? This question has plagued many businesses and organizations as they navigate the complexities of big data. From log analysis to financial modeling, the need for scalable and flexible solutions has never been greater.

Big Data 291

Big Data Modeling Analytics 291

CIO Business Intelligence

NOVEMBER 19, 2024

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. There are many areas of research and focus sprouting from the capabilities presented through LLMs.

Testing 135

Testing Cost-Benefit Interactive ROI 135

CIO Business Intelligence

MAY 20, 2025

The supply chain includes everything involved in the flow of goods from a business to its customers, clients, or other businesses. Thats where the SCOR model comes in. What is the SCOR model? It works across industries using common definitions that apply to any supply chain process.

Modeling 104

Modeling Management Metrics Measurement 104

O'Reilly on Data

JANUARY 17, 2023

Because if companies use code to automate business rules, they use ML/AI to automate decisions. Building Models. A common task for a data scientist is to build a predictive model. You might say that the outcome of this exercise is a performant predictive model. Why would you want autoML to build models for you?

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

CIO Business Intelligence

APRIL 24, 2025

Companies are intrigued by AIs promise to introduce new efficiencies into business processes, but questions about costs, return on investment, employee experience and expectations, and change management remain important concerns. billion over the past two years by applying AI to more than 70 business areas, CTO Lee Ji-eun explained.

Finance 128

Finance Strategy Sales Optimization 128

CIO Business Intelligence

MARCH 5, 2025

Modivcare, which provides services to better connect people with care, is on a transformative journey to optimize its services by implementing a new product operating model. With such a shift, Modivcare and its CIO Jessica Kral aim to create a comprehensive and shared view of the companys processes.

Modeling 118

Modeling Interactive Strategy Technology 118

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Whether you manage customer-facing AI products, or internal AI tools, you will need to ensure your projects are in sync with your business.

Management 363

Management Machine Learning Experimentation Metrics 363

O'Reilly on Data

JUNE 11, 2024

Here are a few insights into the decisions that we made in the process of building Answers. It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. Think about how the answers to those questions affect your business model.

Modeling 342

Modeling Experimentation Interactive Data-driven 342