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. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 122

IT Insurance Consulting Risk 122

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 174

Testing Software Data-driven Measurement 174

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. What is it, how does it work, what can it do, and what are the risks of using it? Or a text adventure game.

IT 344

IT Modeling Testing Risk 344

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

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. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 105

IT Insurance Consulting Risk 105

Analytics Vidhya

MARCH 20, 2024

With the development of AI, we also learn how to leverage data-driven insights to enhance decision-making, optimize processes, and innovate across various sectors. Introduction Artificial intelligence (AI) has dramatically influenced technology. It is at the edge where some industries are being revolutionized.

Data-driven 332

Data-driven Optimization Marketing Technology 332

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

CIO Business Intelligence

OCTOBER 30, 2024

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data.

Analytics 128

Analytics Metrics Optimization Interactive 128

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

CIO Business Intelligence

NOVEMBER 4, 2024

Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. 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

JULY 22, 2024

IT leader and former CIO Stanley Mwangi Chege has heard executives complain for years about cloud deployments, citing rapidly escalating costs and data privacy challenges as top reasons for their frustrations. They, too, were motivated by data privacy issues, cost considerations, compliance concerns, and latency issues.

Optimization 128

Optimization Strategy IT Cost-Benefit 128

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

David Menninger's Analyst Perspectives

OCTOBER 14, 2022

As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. Organizations use it to better understand the current state of systems and business processes.

Data-driven 268

Data-driven Visualization Optimization Modeling 268

CIO Business Intelligence

JANUARY 15, 2025

A survey from the Data & AI Leadership Exchange, an organization focused on AI and data education efforts, found that 98% of senior data leaders at Fortune 1000 companies expect to increase their AI spending in 2025, up from 82% in 2024. Over 90% of those surveyed said investments in AI and data were top priorities.

Sales 130

Sales Data-driven Marketing Optimization 130

BizAcuity

NOVEMBER 13, 2024

In today’s data-rich environment, the challenge isn’t just collecting data but transforming it into actionable insights that drive strategic decisions. For organizations, this means adopting a data-driven approach—one that replaces gut instinct with factual evidence and predictive insights. What is BI Consulting?

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

FEBRUARY 4, 2025

And we gave each silo its own system of record to optimize how each group works, but also complicates any future for connecting the enterprise. Data and workflows lived, and still live, disparately within each domain. We optimized. They were new products, interfaces, and architectures to do the same thing we always did.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

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

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. Attention all developers, architects, and IT professionals! That’s where our new YouTube channel comes in.

Analytics 116

Analytics Optimization Data-driven Data Architecture 116

CIO Business Intelligence

MARCH 19, 2025

As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

Optimization 109

Optimization Data Lake Data Warehouse Cost-Benefit 109

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 121

Risk Cost-Benefit Data-driven Digital Transformation 121

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses. large instances.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

CIO Business Intelligence

MARCH 4, 2025

As a business executive who has led ventures in areas such as space technology or data security and helped bridge research and industry, Ive seen first-hand how rapidly deep tech is moving from the lab into the heart of business strategy. Business leaders dont need to be technology experts to grasp this shift; they need vision and urgency.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

DataKitchen

DECEMBER 9, 2024

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. data engineers delivered over 100 lines of code and 1.5

Data Quality 164

Data Quality Data Lake Testing Statistics 164

CIO Business Intelligence

OCTOBER 10, 2024

The growing importance of ESG and the CIO’s role As business models become more technology-driven, the CIO must assume a leadership role, actively shaping how technologies like AI, genAI and blockchain contribute to meeting ESG targets. It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals.

Metrics 124

Metrics Optimization Strategy Technology 124

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

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 111

IoT Machine Learning Metadata Data-driven 111

AWS Big Data

NOVEMBER 22, 2024

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience.

Data Lake 104

Data Lake Data Warehouse Cost-Benefit Data Transformation 104

CIO Business Intelligence

NOVEMBER 7, 2024

According to recent data from IDC’s CIO Sentiment Survey (Figure 1), only 38% of organizations have reached a high level of maturity in their digital transformation efforts (with only about 13% claiming full transformation). These metrics are for a “run the railroad,” traditional, back-office IT organization.

Digital Transformation 128

Digital Transformation Metrics Measurement Key Performance Indicator 128

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. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

MAY 30, 2024

As enterprises increasingly embrace serverless computing to build event-driven, scalable applications, the need for robust architectural patterns and operational best practices has become paramount. optimize the overall performance. Serverless functions are vulnerable to excessive consumption due to sudden spikes in data volume.

Optimization 116

Optimization Data-driven IoT Manufacturing 116

David Menninger's Analyst Perspectives

JANUARY 21, 2025

Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. This is especially true for mission-critical workloads.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

CIO Business Intelligence

OCTOBER 16, 2023

Going back after the fact to optimize for cost while you’re still trying to operate and grow can make things even harder.” By quickly showing engineers the financial implications of feature development and product changes, for example, they can optimize features for cost in the same way they tune for performance or uptime.

Optimization 140

Optimization Enterprise Finance Data Processing 140

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Data Quality 198

Data Quality Testing Metrics Reporting 198

O'Reilly on Data

DECEMBER 10, 2019

Nor are building data pipelines and deploying ML systems well understood. That doesn’t mean we aren’t seeing tools to automate various aspects of software engineering and data science. We’ve also seen (and featured at O’Reilly’s AI Conference) Snorkel , an ML-driven tool for automated data labeling and synthetic data generation.

Software 304

Software Machine Learning Risk Data-driven 304