O'Reilly on Data

APRIL 30, 2024

Others retort that large language models (LLMs) have already reached the peak of their powers. It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance.

Risk 313

Risk Advertising Cost-Benefit Sales 313

Analytics Vidhya

MAY 17, 2023

He took a moment to express his apprehension about the risks associated with increasingly powerful models. He […] The post OpenAI CEO Urges Lawmakers to Regulate AI Considering AI Risks appeared first on Analytics Vidhya.

Risk 288

Risk Modeling Analytics IT 288

CIO Business Intelligence

NOVEMBER 7, 2024

The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. About 524 companies now make up the UK’s AI sector, supporting more than 12,000 jobs and generating over $1.3

Risk 130

Risk Management Measurement Consulting 130

Analytics Vidhya

JUNE 5, 2023

Cardiovascular disease (CVD) prevention is crucial for identifying at-risk individuals and providing timely intervention. However, traditional risk assessment models like the Framingham Risk Score (FRS) have shown limitations, particularly in accurately estimating risk for socioeconomically disadvantaged populations.

Risk 271

Risk Machine Learning Modeling Analytics 271

O'Reilly on Data

JANUARY 21, 2025

The Evolution of Expectations For years, the AI world was driven by scaling laws : the empirical observation that larger models and bigger datasets led to proportionally better performance. This fueled a belief that simply making models bigger would solve deeper issues like accuracy, understanding, and reasoning.

Cost-Benefit 287

Cost-Benefit Testing Interactive Software 287

Analytics Vidhya

APRIL 14, 2023

Imagine a world where predicting a patient’s risk of developing insomnia or other sleep disorders becomes as simple as analyzing their demographic, lifestyle, and health data. Thanks to an innovative medical study, we can now use Machine Learning (ML) models to predict insomnia accurately.

Modeling 268

Modeling Machine Learning Risk Technology 268

Analytics Vidhya

MARCH 4, 2024

Introduction In a significant development, the Indian government has mandated tech companies to obtain prior approval before deploying AI models in the country.

Modeling 289

Modeling Risk Technology Analytics 289

CIO Business Intelligence

NOVEMBER 12, 2024

“I would encourage everbody to look at the AI apprenticeship model that is implemented in Singapore because that allows businesses to get to use AI while people in all walks of life can learn about how to do that. So, this idea of AI apprenticeship, the Singaporean model is really, really inspiring.”

Modeling 116

Modeling Machine Learning Consulting Deep Learning 116

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. This increases the risks that can arise during the implementation or management process. The next part of our cloud computing risks list involves costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

OCTOBER 29, 2024

Reliance on this invaluable currency brings substantial risks that could severely impact an enterprise. Likewise, compromised or tainted data can result in misguided decision-making, unreliable AI model outputs, and even expose a company to ransomware. Stolen datasets can now be used to train competitor AI models.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

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 117

Risk Cost-Benefit Data-driven Digital Transformation 117

CIO Business Intelligence

JULY 23, 2024

Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed. While security risks are daunting, therapists remind us to avoid overly stressing out in areas outside our control.

Risk 142

Risk IT Risk Management Cost-Benefit 142

CIO Business Intelligence

NOVEMBER 11, 2024

Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. Only 13% plan to build a model from scratch.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

OCTOBER 28, 2024

An AI-powered transcription tool widely used in the medical field, has been found to hallucinate text, posing potential risks to patient safety, according to a recent academic study. Whisper is not the only AI model that generates such errors. This phenomenon, known as hallucination, has been documented across various AI models.

Risk 119

Risk Reporting Machine Learning Consulting 119

CIO Business Intelligence

OCTOBER 24, 2024

Take for instance large language models (LLMs) for GenAI. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI. This puts businesses at greater risk for data breaches.

Risk 128

Risk Measurement Optimization Machine Learning 128

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. SS&C uses Metas Llama as well as other models, says Halpin.

Software 141

Software Risk Enterprise Cost-Benefit 141

O'Reilly on Data

OCTOBER 22, 2020

Taking the time to work this out is like building a mathematical model: if you understand what a company truly does, you don’t just get a better understanding of the present, but you can also predict the future. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models.

Consulting 358

Consulting Risk Cost-Benefit Modeling 358

Analytics Vidhya

APRIL 4, 2024

Artificial intelligence (AI) researchers at Anthropic have uncovered a concerning vulnerability in large language models (LLMs), exposing them to manipulation by threat actors. Dubbed the “many-shot jailbreaking” technique, this exploit poses a significant risk of eliciting harmful or unethical responses from AI systems.

Risk 312

Risk Modeling Analytics IT 312

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 349

Enterprise Deep Learning Data Governance Risk 349

CIO Business Intelligence

OCTOBER 23, 2024

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.

Enterprise 141

Enterprise Cost-Benefit Broadcasting Risk 141

CIO Business Intelligence

AUGUST 21, 2024

According to Gartner, an agent doesn’t have to be an AI model. Starting in 2018, the agency used agents, in the form of Raspberry PI computers running biologically-inspired neural networks and time series models, as the foundation of a cooperative network of sensors. “It Adding smarter AI also adds risk, of course. “At

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

OCTOBER 30, 2024

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

CIO Business Intelligence

OCTOBER 22, 2024

Large language models that emerge have no set end date, which means employees’ personal data that is captured by enterprise LLMs will remain part of the LLM not only during their employment, but after their employment. CMOs view GenAI as a tool that can launch both new products and business models.

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

Analytics Vidhya

JANUARY 30, 2024

Introduction Large Language Models (LLMs) have revolutionized the field of natural language processing, enabling machines to generate human-like text and engage in conversations. However, these powerful models are not immune to vulnerabilities.

Risk 318

Risk Modeling Analytics Deep Learning 318

Analytics Vidhya

JANUARY 15, 2024

In a startling revelation, researchers at Anthropic have uncovered a disconcerting aspect of Large Language Models (LLMs) – their capacity to behave deceptively in specific situations, eluding conventional safety measures.

Measurement 315

Measurement Risk Modeling Analytics 315

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

Analytics Vidhya

JANUARY 23, 2024

In a significant move towards responsible technological integration, the World Health Organization (WHO) has issued comprehensive guidelines on the ethical use and governance of AI and Large Multi-Modal Models (LMMs) in the field of healthcare.

Risk 306

Risk Modeling Technology Analytics 306

O'Reilly on Data

DECEMBER 10, 2019

We can collect many examples of what we want the program to do and what not to do (examples of correct and incorrect behavior), label them appropriately, and train a model to perform correctly on new inputs. Those tools are starting to appear, particularly for building deep learning models. Instead, we can program by example.

Software 304

Software Machine Learning Risk Data-driven 304

CIO Business Intelligence

DECEMBER 20, 2024

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. isnt intentionally or accidentally exfiltrated into a public LLM model?

Risk 105

Risk Measurement Modeling Interactive 105

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Enterprise 342

Enterprise Testing Modeling Reporting 342

O'Reilly on Data

MARCH 25, 2025

Throughout this article, well explore real-world examples of LLM application development and then consolidate what weve learned into a set of first principlescovering areas like nondeterminism, evaluation approaches, and iteration cyclesthat can guide your work regardless of which models or frameworks you choose. Which multiagent frameworks?

Testing 166

Testing Software Data-driven Measurement 166

O'Reilly on Data

APRIL 19, 2021

Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%).

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

Analytics Vidhya

MARCH 21, 2023

Introduction With the rapid advancements in Artificial Intelligence (AI), it has become increasingly important to discuss the ethical implications and potential risks associated with the development of these technologies.

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Risk Modeling Technology Analytics 326