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. Whats the context for the new product operating model? What was the model you were using before? What was the model you were using before?

Modeling 118

Modeling Interactive Strategy Technology 118

CIO Business Intelligence

NOVEMBER 12, 2024

“I would encourage everbody to look at the AI apprenticeship model that is implemented in Singapore because that allows businesses to get to use AI while people in all walks of life can learn about how to do that. So, this idea of AI apprenticeship, the Singaporean model is really, really inspiring.”

Modeling 116

Modeling Machine Learning Consulting Deep Learning 116

Analytics Vidhya

AUGUST 1, 2022

PowerBI is used for Business intelligence. What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards. Introduction In this article, we will explore one of Microsoft’s proprietary products, “PowerBI”, in-depth. And […].

Reporting 389

Reporting Predictive Modeling Dashboards Business Intelligence 389

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. capabilities to enable the creation of AI agents to analyze and automate business processes.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

CIO Business Intelligence

NOVEMBER 27, 2024

Data quality for AI needs to cover bias detection, infringement prevention, skew detection in data for model features, and noise detection. Not all columns are equal, so you need to prioritize cleaning data features that matter to your model, and your business outcomes. There’s no such thing as ‘clean data,’” says Carlsson.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

DECEMBER 5, 2024

They had an AI model in place intended to improve fraud detection. However, the model underperformed, and its outputs showed discrepancies compared to manual validations. For instance, in claims management, insurers would assess claims based on incomplete, poorly cleaned data, leading to inaccuracies in evaluating claims.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

David Menninger's Analyst Perspectives

MAY 22, 2025

As such, many examples of knowledge graph implementations are in industries that have embraced the Resource Description Framework graph model used in Semantic Web applications. Knowledge graphs have historically been closely associated with graph databases designed to natively store data as entities and attributes, as well as relationships.

Metadata 130

Metadata Enterprise Data-driven Publishing 130

David Menninger's Analyst Perspectives

MAY 14, 2025

The primary benefits of data governance are improved data quality, accuracy of reporting and business intelligence, operational efficiency and enhanced regulatory compliance. GenAI models also learn from historical data, which may contain biases. One reason for this is a relative paucity of functionality.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. The semantic layer bridges the gaps between the data cloud, the decision-makers, and the data science modelers.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Bigeye’s anomaly detection capabilities rely on the automated generation of data quality thresholds based on machine learning (ML) models fueled by historical data. The company also offers associated alerts delivered to data owners and data consumers, and reinforcement learning to adapt notifications based on user feedback.

Data Quality 130

Data Quality Dashboards Data-driven Machine Learning 130

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 22, 2025

With enhanced data visualization, modeling, and estimation capabilities, the Magic canoptimize ticket sales forecasting and leverage their success with dynamic pricingwhile ensuring ticket availability. seek to create a frictionless fan experience through technology, making it as simple and smart as possible, he says.

Data Analytics 102

Data Analytics Analytics Interactive Business Intelligence 102

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

DECEMBER 11, 2024

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Thats one of the catches of proprietary commercial models, he says. Its possible to opt-out, but there are caveats.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

OCTOBER 9, 2024

Depending on your needs, large language models (LLMs) may not be necessary for your operations, since they are trained on massive amounts of text and are largely for general use. As a result, they may not be the most cost-efficient AI model to adopt, as they can be extremely compute-intensive.

Strategy 143

Strategy Modeling Management Data Lake 143

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

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. Todays AI models are, for the most part, fragmentary.

ROI 141

ROI Software Modeling Interactive 141

CIO Business Intelligence

NOVEMBER 22, 2024

Guan, along with AI leaders from S&P Global and Corning, discussed the gargantuan challenges involved in moving gen AI models from proof of concept to production, as well as the foundation needed to make gen AI models truly valuable for the business. I think driving down the data, we can come up with some kind of solution.”

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

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

AWS Big Data

MARCH 13, 2025

From within the unified studio, you can discover data and AI assets from across your organization, then work together in projects to securely build and share analytics and AI artifacts, including data, models, and generative AI applications.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

O'Reilly on Data

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. This is the power of marketing.)

Machine Learning 342

Machine Learning Testing Modeling Cost-Benefit 342

CIO Business Intelligence

AUGUST 20, 2024

Enterprises did not rethink their companies or models to thrive in what was quickly becoming a digital-first world. On the other side, my work explored how work, processes, and supporting systems could evolve or be reimagined to transform business and operational models. Generative AI isn’t the last wave of AI disruption.

Digital Transformation 144

Digital Transformation Modeling ROI Strategy 144

CIO Business Intelligence

NOVEMBER 5, 2024

The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI. Meta will allow US government agencies and contractors in national security roles to use its Llama AI.

Modeling 126

Modeling Enterprise Technology Publishing 126

CIO Business Intelligence

OCTOBER 28, 2024

Whisper is not the only AI model that generates such errors. In a separate study, researchers found that AI models used to help programmers were also prone to hallucinations. This phenomenon, known as hallucination, has been documented across various AI models. With over 4.2

Risk 119

Risk Reporting Machine Learning Consulting 119

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

Jet Global

NOVEMBER 20, 2024

Organizations can now streamline digital transformations with Logi Symphony on Google Cloud, utilizing BigQuery, the Vertex AI platform and Gemini models for cutting-edge analytics RALEIGH, N.C. – We believe an actionable business strategy begins and ends with accessible data.

Analytics 59

Analytics Digital Transformation Business Intelligence Data-driven 59

CIO Business Intelligence

MARCH 25, 2025

Using the companys data in LLMs, AI agents, or other generative AI models creates more risk. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Playing catch-up with AI models may not be that easy.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

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.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

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. AI and machine learning models. Data modeling takes a more focused view of specific systems or business cases.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

David Menninger's Analyst Perspectives

FEBRUARY 8, 2021

The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. There is more data available to analyze. AI/ML is even being used to make many aspects of itself easier.

Machine Learning 338

Machine Learning Modeling Analytics Sales 338

CIO Business Intelligence

NOVEMBER 1, 2024

Developing AI When most people think about artificial intelligence, they likely imagine a coder hunched over their workstation developing AI models. With those tools involved, users can build new AI models on relatively low-powered machines, saving heavy-duty units for the compute-intensive process of model training.

Recreation/Entertainment 119

Recreation/Entertainment Machine Learning Modeling Data Science 119

David Menninger's Analyst Perspectives

MAY 6, 2025

Natural language interfaces for business intelligence products existed long before the emergence of generative artificial intelligence. Many enterprises seeking to increase data-driven decision-making are investing in strategic data democratization initiatives to provide self-service access to business users and data analysts.

Analytics 130

Analytics Business Intelligence Interactive Data-driven 130

David Menninger's Analyst Perspectives

OCTOBER 26, 2021

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. The platform supports streaming data, SQL queries, graph processing and machine learning.

Big Data 327

Big Data Data Processing Machine Learning Modeling 327

AWS Big Data

JANUARY 15, 2025

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. Insights from ML models can be channeled through Amazon DataZone to inform internal key decision makers internally and external partners.

IoT 109

IoT Machine Learning Metadata Data-driven 109

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. Legacy models and silos will only hold us back.

Digital Transformation 144

Digital Transformation Sales Optimization Enterprise 144

CIO Business Intelligence

NOVEMBER 19, 2024

You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots. You build your model, but the history and context of the data you used are lost, so there is no way to trace your model back to the source.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

JANUARY 9, 2025

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The commodity effect of LLMs over specialized ML models One of the most notable transformations generative AI has brought to IT is the democratization of AI capabilities.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128