CIO Business Intelligence

APRIL 8, 2025

Rule 1: Start with an acceptable risk appetite level Once a CIO understands their organizations risk appetite, everything else strategy, innovation, technology selection can align smoothly, says Paola Saibene, principal consultant at enterprise advisory firm Resultant. Compare those to the real-world breaches were seeing.

Risk Management 131

Risk Management Risk Management Business Objectives 131

O'Reilly on Data

DECEMBER 10, 2019

In short, we can use machine learning to automate software development itself. The same set of problems that AI and ML are facing everywhere else (and that, honestly, every new technology faces): lack of skilled people, trouble finding the right use cases, and the difficulty of finding data. What are the biggest obstacles to adoption?

Software 337

Software Machine Learning Risk Data-driven 337

CIO Business Intelligence

OCTOBER 22, 2024

AI is evolving as human use of AI evolves. Before we reach the point where humans can no longer keep up, we must embrace how much better AI can make us.” By 2029, 10% of global boards will use AI guidance to challenge executive decisions that are material to their business.

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

CIO Business Intelligence

NOVEMBER 5, 2024

Based on our services, e-commerce has flourished from providing payment guarantees, zero liability to consumers, APIs and services, and global acceptance to online commerce stores, ride-sharing apps, and streaming networks worldwide. How do you use AI to reliably run events over time and run them like other systems?

B2B 132

B2B Machine Learning Technology Marketing 132

CIO Business Intelligence

NOVEMBER 14, 2024

Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” As a result, the customer experience has vastly improved once Vibram began accepting all payment methods with main currencies.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

O'Reilly on Data

JULY 20, 2021

Communal devices are intended to be used by groups of people in homes and offices. The telephone in the kitchen was for everyone’s use. That’s precisely where we’re wrong: they’re not edge cases, but they’re at the core of how people want to use these devices. This expectation isn’t a new one either.

Risk 331

Risk Software Interactive Modeling 331

O'Reilly on Data

JUNE 15, 2023

One way we hold companies accountable is by requiring them to share their financial results compliant with Generally Accepted Accounting Principles or the International Financial Reporting Standards. Might we call it the Generally Accepted AI Principles? They are universally used by businesses today for the same reason.

Metrics 359

Metrics Reporting Measurement Finance 359

O'Reilly on Data

DECEMBER 10, 2024

I cant prove Fermats Last Theorem either, nor do I claim to understand any of the massive proof that mathematicians have accepted. Generative AI has proven useful for generating code but hasnt (yet) made significant inroads into software design. (Which was, in fact, the response I received from all three models.) Can we go further?

Testing 255

Testing Modeling Software IT 255

O'Reilly on Data

SEPTEMBER 8, 2020

These methodologies stressed iteration: building something useful, demo-ing it to the customer, taking feedback, and then improving. At this point, the IDE could translate the programmer’s code back into pseudo-code, using a tool like Pseudogen (a promising new tool, though still experimental).

Experimentation 363

Experimentation Interactive Modeling Software 363

AWS Big Data

NOVEMBER 22, 2024

How generative AI upgrades for Spark works The Spark upgrades feature uses AI to automate both the identification and validation of required changes to your AWS Glue Spark applications. and earlier, you could write a script transform like SELECT TRANSFORM(a AS c1, b AS c2) USING 'cat' FROM TBL. using the Spark Upgrade feature.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

CIO Business Intelligence

JANUARY 14, 2025

So the organization as a whole has to have a clear way of measuring ROI, creating KPIs and OKRs or whatever framework theyre using. Its typical for organizations to test out an AI use case, launching a proof of concept and pilot to determine whether theyre placing a good bet. How confident are we in our data?

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

MARCH 25, 2025

The proof of concept (POC) has become a key facet of CIOs AI strategies, providing a low-stakes way to test AI use cases without full commitment. Its about the risk and their willingness to accept that risk and the potential lack of accuracy, Hayden says. Its going to vary dramatically.

ROI 127

ROI IT Experimentation Risk 127

CIO Business Intelligence

APRIL 30, 2025

Prior to generative AI, we used AI for customer personalization and marketing campaigns, as well as in our contact centers to help agents deliver more personalized service. Talk us through a gen AI use case. Our first real gen AI use case has been to scale our customer messaging. So how did you manage all the data?

Strategy 82

Strategy Data Science Modeling Risk Management 82

O'Reilly on Data

JUNE 27, 2023

In the same way that bad actors will use social engineering to fool humans guarding secrets, clever prompts are a form of social engineering for your chatbot. One prompt may return different answers each time it is used. What guarantees do you make or not make about the quality of the outputs and how people use them?

Risk Management 316

Risk Management Risk Management Modeling 316

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. Then use a frequency vs. difficulty quadrant to prioritize them. During this stage, you are also researching and vetting which online business intelligence software to use.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

O'Reilly on Data

OCTOBER 12, 2021

Given enough unit tests and acceptance tests, we can imagine a system for automatically generating code that is correct. Property -based testing might give us some additional ideas about building test suites robust enough to verify that code works properly. There are lots of ways to sort. Some are pretty good—for example, quicksort.

Testing 363

Testing Measurement Consulting Modeling 363

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. We use Anthropic’s Claude 2.1 We use Anthropic’s Claude 2.1 Change the AWS Region to US West (Oregon).

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

CIO Business Intelligence

APRIL 9, 2025

Since the AI chatbots 2022 debut, CIOs at the nearly 4,000 US institutions of higher education have had their hands full charting strategy and practices for the use of generative AI among students and professors, according to research by the National Center for Education Statistics. Timetabling used to be very complicated, she says.

Interactive 110

Interactive Technology Statistics Consulting 110

CIO Business Intelligence

JANUARY 7, 2025

The path to understanding Since the 1730s, English-speaking playwrights and screenwriters have used dramatis personae from the Latin meaning person of the drama to list the main characters of the play or novel. IT was counseled to be sensitive to their use of technical terminology when addressing non-IT pros.

IT 124

IT Consulting Machine Learning Technology 124

CIO Business Intelligence

JANUARY 7, 2025

What terminology should you use? As the shine wears thin on generative AI and we transition into finding its best application, its more important than ever that CIOs and IT leaders ensure [they are] using AI in a point-specific way that drives business success, he says. AI transformation is the term for them.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

JANUARY 21, 2025

A human-centric approach helps with the change management efforts around using agentic AI while evaluating the benefits and risks. 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

NOVEMBER 6, 2024

Whether summarizing notes or helping with coding, people in disparate organizations use gen AI to reduce the bind associated with repetitive tasks, and increase the time for value-acting activities. Stoddard recognizes executives must be cautious because gen AI can be used less productively. We use machine learning all the time.

Forecasting 133

Forecasting Risk Technology Strategy 133

DataKitchen

NOVEMBER 5, 2024

This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer. By methodically processing data through Bronze, Silver, and Gold layers, this approach supports a variety of use cases.

Data Quality 195

Data Quality Testing Metrics Reporting 195

O'Reilly on Data

APRIL 9, 2024

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. Integration tests (tests of multiple modules) and acceptance tests (tests of entire systems) are more difficult.

Testing 295

Testing Software Sales Marketing 295

AWS Big Data

NOVEMBER 19, 2024

In the first part of this series , we demonstrated how to implement an engine that uses the capabilities of AWS Lake Formation to integrate third-party applications. This engine was built using an AWS Lambda Python function. or later Create the application We create a JavaScript application using the React framework.

Data Processing 97

Data Processing Metadata Publishing Testing 97

erwin

DECEMBER 9, 2024

When it comes to using AI and machine learning across your organization, there are many good reasons to provide your data and analytics community with an intelligent data foundation. Observing data patterns upfront objectively helps us to eliminate bias as we gather and assemble the data that will be used to train AI models.

Metadata 52

Metadata Data Quality Sales Modeling 52

CIO Business Intelligence

DECEMBER 18, 2024

We focused on extracting data from the ERPs through our data mesh using our own custom-developed technologies. These data and models then feed into intelligent headless engines, which use microservices to drive business logic both synchronously and asynchronously. Those are important, but we prefer to use FTM: follow the money.

Digital Transformation 116

Digital Transformation Metrics Measurement ROI 116

David Menninger's Analyst Perspectives

JANUARY 14, 2025

Ask software providers for real-world use cases articulating how the solutions support diversity, inclusion, equity and belonging. Always remember that it is acceptable to challenge software providers to demonstrate how the technology contributes to measurable outcomes that support your specific DEIB strategy.

Measurement 130

Measurement Strategy Data-driven Software 130

O'Reilly on Data

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. To make data useful, we must be able to conduct large-scale compute easily.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

MARCH 5, 2025

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. Use a mix of established and promising small players To mitigate risk, Gupta rarely uses small vendors on big projects.

Testing 99

Testing Measurement Technology Experimentation 99

AWS Big Data

MARCH 5, 2025

Amazon DataZone is a fully managed data management service that customers can use to catalog, discover, share, and govern data stored across Amazon Web Services (AWS). In this post, we will cover how you can use Amazon DataZone to facilitate data collaboration between AWS accounts. Data publishers : Users in producer AWS accounts.

Analytics 61

Analytics Publishing Metadata Sales 61

CIO Business Intelligence

DECEMBER 11, 2024

Raw data is ingested, transformed and curated for a specific purpose using tools and frameworks provided by Data Platforms. The field of data observability has experienced substantial growth recently, offering numerous commercial tools on the market or the option to build a DIY solution using open-source components.

Management 111

Management Data Governance Data Science Reporting 111

O'Reilly on Data

MARCH 24, 2020

Data collected for one purpose can have limited use for other questions. With the right mindset, you can get a lot out of analyzing existing data—for example, descriptive data is often quite useful for early-stage companies [2]. Why is high-quality and accessible data foundational?

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about.

Data-driven 363

Data-driven Software Statistics Marketing 363

O'Reilly on Data

AUGUST 9, 2022

Tools like Copilot, useful as they may be, are nowhere near ready to take over. Perhaps the only exception would be a library that could be developed once, then tested, verified, and used without modification–but the development process would have to re-start from ground zero whenever a bug or a security vulnerability was found.

Software 291

Software Testing Modeling IT 291

AWS Big Data

FEBRUARY 13, 2025

Amazon SageMaker Unified Studio (preview) provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. By default, all users are authorized to use default project profiles.

Data Analytics 72

Data Analytics Analytics Modeling Management 72

AWS Big Data

OCTOBER 30, 2024

This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue. In this post, we discuss the AWS Glue jobs for defining the workflow.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105