CIO Business Intelligence

DECEMBER 28, 2023

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage.

Risk 97

Risk Risk Management Strategy Enterprise 97

CIO Business Intelligence

MARCH 11, 2024

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. These include security and data privacy concerns, low-quality data, reputational risks, and immature technology, to name a few. We are talking about quality-driven software delivery methodology.

Software 84

Software Testing Data-driven Risk 84

CIO Business Intelligence

JUNE 9, 2023

And many CIOs and other senior managers are aware of the problem, according to an international survey commissioned by Swedish software supplier Progress. Elisabeth Stjernstoft, CIO at Swedish energy giant Ellevio, agrees that there’s a risk of using biased data that’s not representative of the customer group or population being looked at. “It

Risk 100

Risk Machine Learning Modeling Technology 100

CIO Business Intelligence

SEPTEMBER 6, 2023

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. Specifically, organizations are contemplating Generative AI’s impact on software development. Through small experiments, organizations can determine for themselves the technology’s risks and limitations.

Software 117

Software Experimentation Risk Data Lake 117

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 220

Machine Learning Risk Management Statistics 220

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Smart Data Collective

SEPTEMBER 6, 2023

AI technology has led to a number of improvements, such as the development of new fraud detection software. As a countermeasure, fraud detection software has become an indispensable ally in the battle against online deceit. Many financial institutions are already using these types of predictive analytics models to fight fraud.

Software 106

Software Digital Transformation Measurement Predictive Analytics 106

CIO Business Intelligence

MARCH 25, 2024

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

Modeling 118

Modeling Cost-Benefit IT ROI 118

Smart Data Collective

FEBRUARY 14, 2023

Cloud computing is a term used to describe the use of computing resources, such as software, hardware, and storage, over the internet. However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. An estimated 94% of enterprises rely on cloud computing.

Risk 99

Risk Cost-Benefit Software Technology 99

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. Some of the benefits of AI in banking include: Banks use AI bots to onboard clients and analyze borrower risk. Banks and other financial institutions are combining AI with other technologies to transform their business models.

Software 89

Software Finance Cost-Benefit Data-driven 89

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 99

Software Strategy Testing Advertising 99

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 127

Software Machine Learning B2B Manufacturing 127

Smart Data Collective

AUGUST 27, 2020

It’s important to know how to protect your own firm from spend risk, supply chain disruption while enhancing the company’s ability to thrive. Moving your supply chain model to the cloud could be one of the best ways to reduce these concerns. It’s difficult to mitigate supply chain risk in the best of times.

Risk Management 107

Risk Management Risk Management Software 107

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Hexaware conducted extensive fine-tuning to adapt the model to different industries and company types. “We

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. Dig Security isn’t alone.

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Modeling Enterprise Marketing Sales 132

CIO Business Intelligence

OCTOBER 2, 2023

Those changes can consist of software programs your organization didn’t intend or plan to use but may need today and software programs your organization thought they needed but no longer use or plan to use in the future. In fact, many Oracle licensees may find that over the life of the ULA contract, their needs may have changed.

ROI 82

ROI Optimization Enterprise Modeling 82

Smart Data Collective

AUGUST 22, 2021

One example is with software validation. Big data has been instrumental in the software development process. A number of software developers are using data analytics and machine learning technology to improve the quality of their products and expedite the development of their applications.

Data-driven 131

Data-driven Software Manufacturing Big Data 131

Smart Data Collective

NOVEMBER 3, 2021

New software uses AI to manage bank loans. AI Makes Bank Lending Software Far More Reliable. In this article, we decided to cover the tendencies in banking loan software in 2022 and give a brief market outlook of AI-driven lending software as a whole. Digital banking market. Integrated lending module.

Software 121

Software Data-driven Interactive Insurance 121

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Domino Data Lab

AUGUST 6, 2021

All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. As such, model governance needs to be applied to each model for as long as it’s being used.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

CIO Business Intelligence

JUNE 6, 2023

While there is endless talk about the benefits of using ChatGPT, there is not as much focus on the significant security risks surrounding it for organisations. While the physician is not being accused of a HIPAA violation, it raises concerns about the safety of privacy-protected data is when it is input into a language model.

Risk 84

Risk Insurance Software Modeling 84

CIO Business Intelligence

JULY 31, 2023

With all the articles about all the amazing AI developments, there’s plenty of hand-wringing around the possibility that we, as software developers, could soon be out of a job, replaced by artificial intelligence. The real problems are usually centered around what the software is supposed to do.

Software 96

Software Data-driven Risk Manufacturing 96

Smart Data Collective

APRIL 22, 2020

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development. Development: This is where the program gets built.

Data-driven 92

Data-driven Software Big Data Testing 92

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 141

Risk Consulting Machine Learning Data Science 141

erwin

FEBRUARY 12, 2021

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Governance, risk and compliance are treated as isolated bubbles. Data-related risks are not connected with the data architects/data scientists.

Risk 98

Risk Slice and Dice Management Enterprise 98

IBM Big Data Hub

AUGUST 16, 2023

Nevertheless, I also understand the criticality of evaluating the inherent risks before embarking on its direct adoption within our organizations. In this discussion, I explore the risks and challenges associated with ChatGPT in an enterprise context, necessitating a careful approach to its implementation.

Risk 56

Risk Modeling Enterprise Interactive 56

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

Dataiku

MAY 20, 2022

In the earlier articles of this series, we’ve discussed the need for AI builders to be aware of the benefits and risks associated with it , as well as our first deep dive into risks associated with the source data. Now, it’s time to discuss the risks and impacts associated with models and service implementation.

Risk 59

Risk Business Services Data-driven Software 59

CIO Business Intelligence

OCTOBER 10, 2022

This model encourages leaders to demonstrate authentic, strong leadership with the idea that employees will be inspired to follow suit. For a deeper look at the transformational leadership model, see “ How to apply transformational leadership at your company.”. Transformational leadership model.

Modeling 144

Modeling Digital Transformation Software Manufacturing 144

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

APRIL 17, 2024

Organizations with subscription-based business models have not only survived the recent global economic challenges but have also outperformed their traditional, product-based counterparts, according to The Subscription Economy Index (SEI) report for 2023 by Zuora. against the latter’s 4.8%.

Broadcasting 108

Broadcasting Cost-Benefit Strategy Modeling 108

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI A human reviews it to make sure it makes sense, and if it does, the AI incorporates that into the learning model,” she says.

Enterprise 129

Enterprise Cost-Benefit Forecasting Strategy 129

CIO Business Intelligence

MARCH 25, 2022

By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software. Last December, Broadcom Software published our blog: Predictions for 2022. It was a data-centric model where you don’t trust anything going on inside or outside of the perimeter. First up, Zero Trust.

Software 52

Software Risk Strategy Reporting 52

CIO Business Intelligence

MARCH 8, 2023

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. But outsourcing operational risk is untenable, given the criticality of data-first modernization to overall enterprise success.

Modeling 71

Modeling Risk Management Internet of Things Risk 71

erwin

MARCH 24, 2020

Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their documentation. erwin’s Evolve software is integral to modeling process flow requirements, but what about the technology side of the equation?

Modeling 97

Modeling Data Processing Software Finance 97