CIO Business Intelligence

DECEMBER 3, 2024

But supporting a technology strategy that attempts to offset skills gaps by supplanting the need for those skills is also changing the fabric of IT careers — and the long-term prospects of those at risk of being automated out of work. In software development today, automated testing is already well established and accelerating.

IT 128

IT Testing Software Data-driven 128

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

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

JANUARY 6, 2025

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT 140

IT Cost-Benefit Measurement Experimentation 140

DataKitchen

DECEMBER 6, 2022

This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software. Second, the components of the DataOps software solution match very well with how we have thought about the market and match the features of our products. What software should we build? What is missing? What is missing?

Software 130

Software Marketing Data Lake Testing 130

O'Reilly on Data

MAY 27, 2020

Most algorithms in the news these days are calculated by software. Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read.

Risk 361

Risk Testing Reporting Measurement 361

CIO Business Intelligence

AUGUST 21, 2024

It can also be a software program or another computational entity — or a robot. Adding smarter AI also adds risk, of course. “At More recently, Hughes has begun building software to automate application deployment to the Google Cloud Platform and create CI/CD pipelines, while generating code using agents.

Risk 136

Risk Insurance Cost-Benefit Software 136

Smart Data Collective

AUGUST 2, 2022

Along with converting to electric vehicles and delivering self-driving cars, automotive companies master their software development expertise. Companies that fail to leverage AI effectively risk falling behind in a competitive industry. AI aids with digital transformation and software-defined vehicles.

Software 141

Software Machine Learning B2B Manufacturing 141

Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

Digital Transformation 129

Digital Transformation Risk Testing Strategy 129

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Try our business intelligence software for 14 days, completely free! The term “agile” was originally conceived in 2011 as a software development methodology. Working software over comprehensive documentation. What Is Agile Analytics And BI?

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Smart Data Collective

JANUARY 30, 2023

AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design.

Software 124

Software Strategy Testing Advertising 124

CIO Business Intelligence

MARCH 4, 2025

The takeaway is clear: embrace deep tech now, or risk being left behind by those who do. No wonder nearly every CEO is talking about AI: those who lag in AI adoption risk falling behind competitors capabilities. Today, that timeline is shrinking dramatically. Thats a remarkably short horizon for ROI.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

O'Reilly on Data

JULY 11, 2023

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. What does this mean for people who earn their living from writing software? Programmers who work for those companies risk losing their jobs to AI.

Testing 267

Testing Software Visualization Interactive 267

Smart Data Collective

OCTOBER 8, 2023

Software companies are among those most heavily affected, so they are taking dramatic measures. Still, many companies underestimate the importance of more thorough software supply chain security management, believing they are free of threats and vulnerabilities. And today, we’ll talk about the most significant of these risks.

Software 126

Software IoT Risk Internet of Things 126

CIO Business Intelligence

MAY 24, 2024

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

Risk 119

Risk Risk Management Management Enterprise 119

CIO Business Intelligence

FEBRUARY 21, 2025

Birmingham City Councils (BCC) troubled enterprise resource planning (ERP) system, built on Oracle software, has become a case study of how large-scale IT projects can go awry. Integration with Oracles systems proved more complex than expected, leading to prolonged testing and spiraling costs, the report stated.

Reporting 90

Reporting Risk Testing Risk Management 90

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. Random attacks can reveal all kinds of unexpected software and math bugs.

Machine Learning 275

Machine Learning Modeling Testing Risk Management 275

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 82

Testing Measurement Technology Experimentation 82

CIO Business Intelligence

JUNE 13, 2024

To be known as NIPRGPT, it will be part of the Dark Saber software ecosystem developed at the Air Force Research Laboratory (AFRL) Information Directorate in Rome, New York. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119

Testing Experimentation Data Processing Modeling 119

CIO Business Intelligence

OCTOBER 17, 2024

While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks.

Risk 108

Risk Experimentation Testing Strategy 108

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?

Risk 98

Risk Data-driven Interactive Management 98

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

Metrics 118

Metrics Software Cost-Benefit Testing 118

CIO Business Intelligence

SEPTEMBER 6, 2023

Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. Engineers need to understand how to phrase prompts for AIs.

Software 119

Software Risk Experimentation Uncertainty 119

O'Reilly on Data

JANUARY 17, 2023

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software. Pretty simple.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

O'Reilly on Data

JUNE 19, 2019

Why aren’t traditional software tools sufficient? In a previous post , we noted some key attributes that distinguish a machine learning project: Unlike traditional software where the goal is to meet a functional specification, in ML the goal is to optimize a metric. Model operations, testing, and monitoring.

Modeling 230

Modeling Machine Learning Testing Metrics 230

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. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

OCTOBER 8, 2024

You risk adding to the hype where there will be no observable value. The learning phase Two key grounding musts: Non-mission critical workloads and (public) data Internal/private (closed) exposure This ensures no corporate information or systems will be exposed to any form of risk. Test the customer waters.

Risk 124

Risk Technology Cost-Benefit Internet of Things 124

CIO Business Intelligence

FEBRUARY 26, 2025

And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. If they want to make certain decisions faster, we will build agents in line with their risk tolerance. Ours is totally automated.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

DECEMBER 18, 2023

While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models. Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity.

Software 119

Software Technology Digital Transformation Data-driven 119

CIO Business Intelligence

DECEMBER 20, 2023

At the same time, developers are scarce, and the demand for new software is high. Gartner’s surveys and data from client inquiries confirm that developer productivity remains a top priority for software engineering leaders.” Organizations need to get the most out of the limited number of developers they’ve got,” he says.

Measurement 124

Measurement Software IT Metrics 124

CIO Business Intelligence

DECEMBER 2, 2024

Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.” Don’t get bogged down in testing multiple solutions that never see the light of day. For example: Direct costs (principal): “We’re spending 30% more on maintaining outdated systems than our competitors.” Also, beware the proof-of-concept trap.

ROI 136

ROI Cost-Benefit Metrics Strategy 136

CIO Business Intelligence

JANUARY 21, 2025

The path may be a multi-step upgrade marathon Upgrading is a process that demands time, effort, testing, and yes, downtime. New features in any software often come with risks, bugs and performance issues that take time to work out. A few examples are AI vector search, secure data encoding and natural language processing.

Cost-Benefit 97

Cost-Benefit ROI Data-driven Risk 97

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? Maybe it’s surprising that ChatGPT can write software, maybe it isn’t; we’ve had over a year to get used to GitHub Copilot, which was based on an earlier version of GPT. What Software Are We Talking About? It has helped to write a book.

IT 344

IT Modeling Testing Risk 344

CIO Business Intelligence

JANUARY 21, 2025

For example, companies can optimize time-to-value with standardized contracts and flexible payment options, allowing them to test software, pay as they go, negotiate custom terms, and save with volume pricing. Organizations procuring through AWS Marketplace reduce risk with centralized governance and control.

Cost-Benefit 98

Cost-Benefit Optimization Software Management 98

Smart Data Collective

FEBRUARY 23, 2023

Although there are plenty of tech jobs out there at the moment thanks to the tech talent gap and the Great Resignation, for people who want to secure competitive packages and accelerate their software development career with sought-after java jobs , a knowledge of deep learning or AI could help you to stand out from the rest.

Deep Learning 111

Deep Learning Software Risk Testing 111

DataKitchen

NOVEMBER 18, 2021

Data engineering resembles software engineering in certain respects, but data engineers have not adopted the best practices that software engineering has been perfecting for decades. Write tests that catch data errors. This transformation has already taken place in software engineering. Automate manual processes.

Testing 246

Testing Data Governance Measurement Software 246