CIO Business Intelligence

NOVEMBER 5, 2024

Simple solutions for complex problems As Mastercard’s business has grown we recognized the need to apply new technologies to modernize our traditional internal customer service practices and processes to bring them in line with our external, market-facing innovation. Companies and teams need to continue testing and learning.

B2B 132

B2B Machine Learning Technology Marketing 132

O'Reilly on Data

JANUARY 15, 2020

Roger Magoulas recently sat down with Edward Jezierski, reinforcement learning AI principal program manager at Microsoft, to talk about reinforcement learning (RL). They discuss why RL’s role in AI is so important, challenges of applying RL in a business environment, and how to approach ethical and responsible use questions.

Insurance 358

Insurance Measurement Risk IT 358

CIO Business Intelligence

JANUARY 14, 2025

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. The stakes have never been higher. They require fundamentally reimagining how we approach enterprise architecture and technology delivery.

Enterprise 119

Enterprise Technology Metrics Measurement 119

CIO Business Intelligence

NOVEMBER 4, 2024

Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” AI can transform industries, reshaping how students learn, employees work, and consumers buy.

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

O'Reilly on Data

SEPTEMBER 15, 2020

AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. They are business stakeholders, customers, and users. AI Benefits and Stakeholders.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

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. People have been building data products and machine learning products for the past couple of decades.

Testing 174

Testing Data-driven Software Measurement 174

CIO Business Intelligence

DECEMBER 3, 2024

Salesforce CIO Juan Perez encourages CIOs to learn from their peers. “AI A certain level of understanding when it comes to AI is required, especially amongst the executive teams,” he says. With AI evolving so quickly, “there is always going to be a learning curve,” he says. Tkhir calls on organizations to invest in AI training.

Strategy 132

Strategy Digital Transformation Machine Learning Consulting 132

O'Reilly on Data

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. Companies build or buy software to automate human labor, allowing them to eliminate existing jobs or help teams to accomplish more. All of this leads us to automated machine learning, or autoML.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

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. Enhance agility by localizing changes within business domains and clear data contracts.

IoT 110

IoT Machine Learning Metadata Data-driven 110

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

As a result, many data teams were not as productive as they might be, with time and effort spent on manually troubleshooting data-quality issues and testing data pipelines.  With the aim of rectifying that situation, Bigeye’s founders set out to build a business around data observability. The company has raised $73.5

Data Quality 130

Data Quality Dashboards Data-driven Software 130

David Menninger's Analyst Perspectives

JANUARY 14, 2025

Technology should be viewed as an enabler of program success for diversity, equity, inclusion and belonging, providing extended support that enables teams to expand their reach and ability to execute more complex business processes. This enables a stronger alignment with business outcomes, leading to higher program value and impact.

Measurement 130

Measurement Strategy Data-driven Software 130

CIO Business Intelligence

DECEMBER 12, 2024

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. Thats where the friction arises.

IT 134

IT Data Quality Experimentation Machine Learning 134

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. It’s not surprising that the company’s business model has a huge effect on the product manager’s work.

Management 364

Management Experimentation B2B Machine Learning 364

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .

Testing 300

Testing Machine Learning Consulting Data Science 300

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. That commitment must begin at the C-suite level.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

CIO Business Intelligence

JANUARY 7, 2025

Others suggest everything should be called business transformation or just transformation for short. In 2025, AI will continue driving productivity improvements in coding, content generation, and workflow orchestration, impacting the staffing and skill levels required on agile innovation teams. AI transformation is the term for them.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

NOVEMBER 1, 2024

His first order of business was to create a singular technology organization called MMTech to unify the IT orgs of the company’s four business lines. To address the misalignment of those business units, MMTech developed a core platform with built-in governance and robust security services on which to build and run applications quickly.

IT 122

IT Insurance Consulting Risk 122

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy suggests something radically different: with machine learning, we can stop thinking of programming as writing a step of instructions in a programming language like C or Java or Python. Instead, we can program by example. and Matroid.

Software 339

Software Machine Learning Risk Data-driven 339

CIO Business Intelligence

NOVEMBER 4, 2024

Having a Plan B is table stakes for any IT team. Rather than wait for a storm to hit, IT professionals map out options and build strategies to ensure business continuity. While Boyd opted for Nutanix, Lowe emphasized that Boyd Gaming couldn’t afford business disruptions. “We I’ll call it a bake-off: May the best person win.

IT 124

IT Forecasting Strategy Testing 124

CIO Business Intelligence

NOVEMBER 19, 2024

It doesn’t just respond, it learns, adapts and takes actions of its own. They can handle complex tasks, including planning, reasoning, learning from experience, and automating activities to achieve their goal. While that is true, your development teams may not be ready to implement yet. Don’t let that scare you off.

Testing 135

Testing Cost-Benefit Interactive ROI 135

O'Reilly on Data

FEBRUARY 11, 2020

Comparatively few organizations have created dedicated data quality teams. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Just 20% of organizations publish data provenance and data lineage. Most of those who don’t say they have no plans to start.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

Analytics Vidhya

AUGUST 10, 2023

Introduction In today’s evolving landscape, organizations are rapidly scaling their teams to harness the potential of AI, deep learning, and ML. What started as a modest concept, machine learning, has now become indispensable across industries, enabling businesses to tap into unprecedented opportunities.

Machine Learning 271

Machine Learning Deep Learning Analytics Visualization 271

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

Rocket-Powered Data Science

SEPTEMBER 20, 2021

We could search for data with common business terminology, regardless of the specific choice or spelling of the data descriptors in the dataset. The semantic layer is the representation of data that helps different business end-users discover and access the right data efficiently, effectively, and effortlessly using common business terms.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

CIO Business Intelligence

NOVEMBER 12, 2024

Along the way, we’ve created capability development programs like the AI Apprenticeship Programme (AIAP) and LearnAI , our online learning platform for AI. We are happy to share our learnings and what works — and what doesn’t. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own.

Modeling 116

Modeling Machine Learning Consulting Deep Learning 116

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

O'Reilly on Data

MARCH 24, 2020

This is the garbage in, garbage out principle: flawed data going in leads to flawed results, algorithms, and business decisions. If you’re basing business decisions on dashboards or the results of online experiments, you need to have the right data. Why is high-quality and accessible data foundational?

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

CIO Business Intelligence

JANUARY 3, 2025

Research respondents believe AI will positively impact IT complexity and improve business outcomes. Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems.

IT 105

IT Cost-Benefit Data Science Data-driven 105

AWS Big Data

MARCH 13, 2025

Amazon SageMaker brings together widely adopted AWS machine learning (ML) and analytics capabilities and addresses the challenges of harnessing organizational data for analytics and AI through unified access to tools and data with governance built in. To identify the most promising opportunities, the team develops a segmentation strategy.

Analytics 112

Analytics Data Lake Data Warehouse Data-driven 112

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. Introducing the next generation of SageMaker The rise of generative AI is changing how data and AI teams work together.

Data Analytics 103

Data Analytics Analytics Data Lake Data Quality 103