CIO Business Intelligence

MARCH 25, 2025

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

CIO Business Intelligence

DECEMBER 18, 2024

Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs. GenAI is also helping to improve risk assessment via predictive analytics.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

CIO Business Intelligence

MARCH 19, 2025

There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. For us, agents are essential to interacting with our data, he says.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

APRIL 30, 2025

An AI briefer could inform a sales pipeline review process, for instance, or an AI trainer could simulate customer interactions as part of an onboarding program, he adds. One area is personalizing on-page digital interactions. Think summarizing, reviewing, even flagging risk across thousands of documents.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

JANUARY 21, 2025

DevOps teams follow their own practices of using continuous integration and continuous deployment (CI/CD) tools to automatically merge code changes and automate testing steps to deploy changes more frequently and reliably. With this information, teams can ask the AI agent additional questions such as Should I approve the change?

Data-driven 98

Data-driven Risk Interactive Management 98

CIO Business Intelligence

AUGUST 21, 2024

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” We do lose sleep on this,” he says.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

DECEMBER 30, 2024

Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform. The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology.

Software 141

Software ROI Modeling Interactive 141

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. We’re not encouraging skepticism or fear, but companies should start AI products with a clear understanding of the risks, especially those risks that are specific to AI.

Enterprise 342

Enterprise Testing Modeling Reporting 342

CIO Business Intelligence

FEBRUARY 26, 2025

Your platform needs to be opened up so the LLM can reason and interact with the platform in an easy way, he says. The actual interactions with the data platforms are handled through existing, secure mechanisms. If they want to make certain decisions faster, we will build agents in line with their risk tolerance.

IT 141

IT Enterprise Interactive Data Quality 141

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

Smart Data Collective

AUGUST 21, 2022

The process of ensuring that your product or software is of the best quality for your clients is referred to as quality assurance testing or QA testing. Performing Quality Assurance Testing with a Security Approach. AI Can Improve Manual Testing in Addition to Automated Testing.

Testing 98

Testing Risk Software Predictive Analytics 98

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119

Testing Experimentation Data Processing Modeling 119

AWS Big Data

JANUARY 9, 2025

This simplifies data modification processes, which is crucial for ingesting and updating large volumes of market and trade data, quickly iterating on backtesting and reprocessing workflows, and maintaining detailed audit trails for risk and compliance requirements. At petabyte scale, Icebergs advantages become clear.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

JANUARY 7, 2025

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

DECEMBER 2, 2024

Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.” Or, in some cases, companies have platforms that were built with human interactions in mind and aren’t ideal today for many gen AI implementations. Don’t get bogged down in testing multiple solutions that never see the light of day.

ROI 136

ROI Cost-Benefit Metrics Strategy 136

CIO Business Intelligence

MARCH 5, 2025

If they decide a project could solve a big enough problem to merit certain risks, they then make sure they understand what type of data will be needed to address the solution. The next thing is to make sure they have an objective way of testing the outcome and measuring success. But we dont ignore the smaller players.

Testing 99

Testing Measurement Technology Experimentation 99

CIO Business Intelligence

OCTOBER 24, 2024

This retreat risks stifling long-term growth and innovation as leaders realize that the ROI from AI will unfold over a more extended period of time than initially anticipated.” The rest of their time is spent creating designs, writing tests, fixing bugs, and meeting with stakeholders. “So

ROI 127

ROI Data-driven Enterprise Experimentation 127

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Stress testing is a particular area that has become even more important throughout the pandemic. Similarly, the European Central Bank is issuing stress testing requirements related to climate risk given the potential economic shifts related to addressing climate change.

Testing 95

Testing Management Risk Management Forecasting 95

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . Area such as: .

Risk 100

Risk Optimization Management Insurance 100

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

O'Reilly on Data

JULY 11, 2023

Programmers who work for those companies risk losing their jobs to AI. Testing and debugging—well, if you’ve played with ChatGPT much, you know that testing and debugging won’t disappear. What does this mean for people who earn their living from writing software? AIs generate incorrect code, and that’s not going to end soon.

Testing 267

Testing Software Visualization Interactive 267

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? 17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

datapine

AUGUST 12, 2020

We will discuss report examples and templates you can use to create your own report, use its features in an interactive way, and discover relevant inputs for your specific industry. In the process, we will use an online data visualization software that lets us interact with, and drill deeper into bits and pieces of relevant data.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

O'Reilly on Data

JUNE 7, 2022

We have a lot of vague notions about the Turing test, but in the final analysis, Turing wasn’t offering a definition of machine intelligence; he was probing the question of what human intelligence means. If that interaction is going to be productive, we will need a lot from AI. If we had AGI, how would we know it?

Modeling 364

Modeling Interactive Optimization Deep Learning 364

O'Reilly on Data

SEPTEMBER 15, 2020

This in turn would increase the platform’s value for users and thus increase engagement, which would result in more eyes to see and interact with ads, which would mean better ROI on ad spend for customers, which would then achieve the goal of increased revenue and customer retention (for business stakeholders).

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

datapine

OCTOBER 21, 2021

While traditional reports often include a summary, body, and conclusion in a written format, this post will focus on interactive monthly reports created with a professional dashboard creator. Your Chance: Want to test modern reporting software for free? Let’s get started! What Is A Monthly Report?

Reporting 211

Reporting Dashboards Metrics Cost-Benefit 211

O'Reilly on Data

JANUARY 16, 2024

I’m personally interested in this topic since I am a professor who researches human-computer interaction, user experience design, and cognitive science , so AI voice interfaces are fascinating to me. Also, that seems like a cumbersome interaction; I should be able to just talk when I want to, even when it is talking.

Interactive 286

Interactive Recreation/Entertainment Visualization IT 286

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Another increasing factor in the future of business intelligence is testing AI in a duel. Today, managers and workers need to interact differently as they face an always-more competitive environment.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

MAY 21, 2019

A catalog or a database that lists models, including when they were tested, trained, and deployed. The technologies I’ve alluded to above—data governance, data lineage, model governance—are all going to be useful for helping manage these risks. There are real, not just theoretical, risks and considerations.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

datapine

MAY 2, 2023

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

MARCH 24, 2020

John Myles White , data scientist and engineering manager at Facebook, wrote: “The biggest risk I see with data science projects is that analyzing data per se is generally a bad thing. The assumed value of data is a myth leading to inflated valuations of start-ups capturing said data. Let’s get everybody to do X.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

Smart Data Collective

APRIL 5, 2021

With individuals and their devices constantly connected to the internet, user data flow is changing how companies interact with their customers. Built-in Testing. Built-in tests provide real-time data to the developers about the website performance, functionality, usability, accessibility, compatibility, and security.

Big Data 137

Big Data Data-driven IT Sales 137

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

Risk 99

Risk Marketing Risk Management Data-driven 99

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

O'Reilly on Data

JUNE 14, 2024

It offers a wealth of books, on-demand courses, live events, short-form posts, interactive labs, expert playlists, and more—formed from the proprietary content of thousands of independent authors, industry experts, and several of the largest education publishers in the world.

Metadata 299

Metadata Publishing Data-driven Modeling 299

IBM Big Data Hub

MAY 8, 2023

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

Insurance 68

Insurance Risk Testing Data Quality 68