CIO Business Intelligence

DECEMBER 3, 2024

As technology leaders and a business community, we’re still discovering AI’s optimal effectiveness, understanding where it delivers the most impact versus where it falls short, and determining appropriate governance models versus areas where autonomous operation is suitable.” “The technology is too novel and evolving,” he says. “As

Strategy 132

Strategy Digital Transformation Machine Learning Consulting 132

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

CIO Business Intelligence

JULY 22, 2024

Moreover, these repatriations show how CIOs have a shrewder, more fluid cloud strategy today to ensure they don’t settle for less than what they want. As a result, organizations were unprepared to successfully optimize or even adequately run their cloud deployments and manage costs, prompting their move back to on-prem.

Optimization 128

Optimization Strategy IT Cost-Benefit 128

CIO Business Intelligence

NOVEMBER 4, 2024

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Nutanix commissioned U.K.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

CIO Business Intelligence

JANUARY 21, 2025

As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps. With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

OCTOBER 25, 2024

You either move the data to the [AI] model that typically runs in cloud today, or you move the models to the machine where the data runs,” she adds. “I A huge majority of survey respondents plan to move some workloads off the mainframe , but nearly as many say they consider mainframes important to their business strategies.

Data-driven 133

Data-driven Strategy Modeling Technology 133

CIO Business Intelligence

APRIL 24, 2025

In addition to providing an integrated platform, CTO Lee Ji-eun said IBMs AI strategy emphasizes openness, cost efficiency, hybrid technology, and expertise as key differentiating factors. In terms of expertise, CTO Lee Ji-eun said the platform supports corporate strategy formulation by incorporating industry-specific AI.

Finance 128

Finance Strategy Sales Optimization 128

AWS Big Data

JANUARY 9, 2025

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. This capability is particularly valuable in maintaining the integrity of backtests and the reliability of trading strategies.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

APRIL 24, 2025

Select a suitable revenue model Leverage subscription-based approaches and commercialization strategies for direct sales to businesses, research institutions, or government agencies, Sikichs Young advises. Data-as-a-service, where companies compile and package valuable datasets, is the base model for monetizing data, he notes.

Data-driven 134

Data-driven Marketing Risk Sales 134

CIO Business Intelligence

OCTOBER 10, 2024

The demand for ESG initiatives has become an integral part of a company’s strategy for long-term success, offering a promising future for those who embrace them. This could involve adopting cloud computing, optimizing data center energy use, or implementing AI-powered energy management tools.

Metrics 124

Metrics Optimization Strategy Technology 124

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

KDnuggets

DECEMBER 12, 2023

Simple strategies help you avoid that. There are many cases where your LLM underperforms and costs you too much in the cloud platform.

Strategy 124

Strategy Optimization Modeling 124

CIO Business Intelligence

NOVEMBER 21, 2024

With the right AI investments marking the difference between laggards and innovative companies, deploying AI at scale has become an essential strategy in today’s business landscape. This is done through its broad portfolio of AI-optimized infrastructure, products, and services.

IT 111

IT Cost-Benefit Optimization Manufacturing 111

CIO Business Intelligence

APRIL 30, 2025

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Agentic AI can make sales more effective by handling lead scoring, assisting with customer segmentation, and optimizing targeted outreach, he says.

IT 139

IT Sales Cost-Benefit Data-driven 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. Optimize data flows for agility. AI and machine learning models. Curate the data. Application programming interfaces.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

DECEMBER 18, 2024

Trading: GenAI optimizes quant finance, helps refine trading strategies, executes trades more effectively, and revolutionizes capital markets forecasting. As new fraud patterns are identified, GenAI is used to create synthetic data and examples used to train enhanced fraud detection models.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. The hype around large language models (LLMs) is undeniable. This article reflects some of what Ive learned. Theyre impressive, no doubt.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

JANUARY 14, 2025

They achieve this through models, patterns, and peer review taking complex challenges and breaking them down into understandable components that stakeholders can grasp and discuss. This comprehensive model helps architects become true enablers of organizational success. Most importantly, architects make difficult problems manageable.

Enterprise 119

Enterprise Technology Metrics Measurement 119

O'Reilly on Data

MARCH 25, 2025

Throughout this article, well explore real-world examples of LLM application development and then consolidate what weve learned into a set of first principlescovering areas like nondeterminism, evaluation approaches, and iteration cyclesthat can guide your work regardless of which models or frameworks you choose. Which multiagent frameworks?

Testing 174

Testing Data-driven Software Measurement 174

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

NOVEMBER 25, 2024

AI has the potential to transform industries, but without reliable, relevant, and high-quality data, even the most advanced models will fall short. Data quality is about ensuring that what you feed into the model is accurate, consistent, and relevant to the problem you’re trying to solve.

Data Quality 99

Data Quality ROI Interactive Modeling 99

AWS Big Data

OCTOBER 17, 2024

Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service. Learn how generative AI models can enhance your search solutions.

Analytics 116

Analytics Optimization Data-driven Data Architecture 116

CIO Business Intelligence

DECEMBER 17, 2024

As CIO of Avnet one of the largest technology distributors and supply chain solution providers Im responsible for the organizations IT stack and oversee digital transformation and strategy. But after putting some discipline around it and pinpointing where we can optimize our operations, we have found a better balance.

Digital Transformation 105

Digital Transformation Data Processing Optimization Machine Learning 105

AWS Big Data

APRIL 8, 2025

We will explore Icebergs concurrency model, examine common conflict scenarios, and provide practical implementation patterns of both automatic retry mechanisms and situations requiring custom conflict resolution logic for building resilient data pipelines. This scenario applies to any type of updates on an Iceberg table.

Snapshot 139

Snapshot Management Metadata Big Data 139

Cloudera

JANUARY 7, 2025

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

CIO Business Intelligence

JANUARY 30, 2025

Chinese AI startup DeepSeek made a big splash last week when it unveiled an open-source version of its reasoning model, DeepSeek-R1, claiming performance superior to OpenAIs o1 generative pre-trained transformer (GPT). That echoes a statement issued by NVIDIA on Monday: DeepSeek is a perfect example of test time scaling.

Modeling 117

Modeling Data-driven Technology Strategy 117

CIO Business Intelligence

MAY 6, 2025

Security teams are under immense pressure to adopt strategies and systems that stave off evolving risks. The successful ones choose zero trust architecture rather than the network-centric, perimeter-based security models that are unequipped to face the threats of the digital era. Traditional security models: Whats the risk?

Modeling 71

Modeling Cost-Benefit Risk Technology 71

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. A lot of ‘multicloud’ strategies were not actually multicloud. Today’s strategies are increasingly multicloud by intention,” she adds. “But

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

CIO Business Intelligence

MAY 30, 2024

Even though serverless functions offer unparalleled flexibility and cost efficiency, they have design, state management, and cost optimization challenges. optimize the overall performance. Using cost optimization tools Effective cost management is one of the best reasons to opt for serverless computing.

Optimization 116

Optimization Data-driven IoT Manufacturing 116

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., spam or not-spam), probabilities, groups/segments, or a sequence (e.g.,

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. When financial data is inconsistent, reporting becomes unreliable.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

JANUARY 21, 2025

Well also examine strategies CIOs can use to address these challenges, ensuring their organizations can recognize the rewards of GenAI without compromising financial stability. Excessive infrastructure costs: About 21% of IT executives point to the high cost of training models or running GenAI apps as a major concern.

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

CIO Business Intelligence

AUGUST 20, 2024

Early on, I observed that business strategy was rarely driving digital transformation, resulting in very little transformation occurring. Enterprises did not rethink their companies or models to thrive in what was quickly becoming a digital-first world. Instead, a vast majority of companies were investing in digitization.

Digital Transformation 144

Digital Transformation Modeling ROI Strategy 144