O'Reilly on Data

JUNE 27, 2023

Doing so means giving the general public a freeform text box for interacting with your AI model. Welcome to your company’s new AI risk management nightmare. ” ) With a chatbot, the web form passes an end-user’s freeform text input—a “prompt,” or a request to act—to a generative AI model.

Risk Management 230

Risk Management Risk Management Modeling 230

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

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 226

Risk Advertising Cost-Benefit Sales 226

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

NOVEMBER 8, 2024

AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. At the level of the large language model, you already have a copyright issue that has not yet been resolved,” he says. The same goes for open-source stuff.

Risk 133

Risk Software Recreation/Entertainment Modeling 133

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

OCTOBER 16, 2024

In the executive summary of the updated RSP , Anthropic stated, “in September 2023, we released our Responsible Scaling Policy (RSP), a public commitment not to train or deploy models capable of causing catastrophic harm unless we have implemented safety and security measures that will keep risks below acceptable levels.

Risk 117

Risk IT Measurement Modeling 117

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

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

KDnuggets

SEPTEMBER 25, 2024

Disease risk prediction is a cornerstone of preventative healthcare. It is used to provide guidelines for clinicians to follow to identify their most at-risk patients and provide guidance to reduce risk. However, traditional models often struggle to account for the complexities of human health.

Risk 26

Risk Machine Learning Modeling IT 26

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

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

O'Reilly on Data

OCTOBER 30, 2023

While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. These include: What data sources the model is trained on. Operational Metrics.

Measurement 304

Measurement Risk Metrics Modeling 304

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 315

Enterprise Deep Learning Data Governance Risk 315

CIO Business Intelligence

AUGUST 13, 2024

Integrating AI and large language models (LLMs) into business operations unlocks new possibilities for innovation and efficiency, offering the opportunity to grow your top line revenue, and improve bottom line profitability. How can you close security gaps related to the surge in AI apps in order to balance both the benefits and risks of AI?

Risk 119

Risk Cost-Benefit Enterprise Modeling 119

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.

Risk 326

Risk Modeling Technology Analytics 326

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 358

Enterprise Risk Modeling Manufacturing 358

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 301

Consulting Risk Cost-Benefit Modeling 301

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

DECEMBER 13, 2023

Deterministic and stochastic models are approaches in various fields, including machine learning and risk assessment. Understanding the differences between these models is crucial for making informed decisions and predictions.

Machine Learning 258

Machine Learning Risk Modeling Analytics 258

Analytics Vidhya

DECEMBER 19, 2023

In a recent exploration of the application of AI in healthcare, Stanford experts shed light on the safety and accuracy of large language models, like GPT-4, in meeting clinician information needs.

Risk 306

Risk Modeling Analytics 306

CIO Business Intelligence

OCTOBER 17, 2024

With the prohibitive cost of computing power and other expenses needed to deploy AI models, many businesses not only lack the resources, they also often require help identifying and executing the best use cases. To choose the right AI model, you should first examine how AI can add value to their operations while driving efficiencies.

Modeling 131

Modeling Data Processing Optimization Risk 131

O'Reilly on Data

MARCH 9, 2021

Playing Chess and Go or building ever-better language models have been AI projects for decades. Yet another group of researchers modelled a small portion of a fruit fly’s brain (the part used for smell), and were able to train that to create a model for natural language processing.

Modeling 363

Modeling Publishing Risk Reporting 363

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Depending on your needs, large language models (LLMs) may not be necessary for your operations, since they are trained on massive amounts of text and are largely for general use.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

SEPTEMBER 9, 2024

As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).

Risk Management 115

Risk Management Risk Management IT 115

O'Reilly on Data

JULY 28, 2020

You must detect when the model has become stale, and retrain it as necessary. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. Fault Tolerant Versus Fault Intolerant AI Problems.

Marketing 363

Marketing Experimentation Metrics Testing 363

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 277

Enterprise Modeling Testing Reporting 277

CIO Business Intelligence

AUGUST 20, 2024

million to fine-tune gen AI models, and $20 million to build custom models from scratch, according to recent estimates from Gartner. Most SMBs don’t have the resources to create and maintain their own AI models, and they will need to work with partners to run AI models, he adds.

Risk 131

Risk Cost-Benefit Insurance ROI 131

O'Reilly on Data

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. I’d like to share my thoughts on GPT-3 in terms of risks and countermeasures, and discuss real examples of how I have interacted with the model to support my learning journey.

Modeling 350

Modeling Marketing Testing Machine Learning 350

O'Reilly on Data

JUNE 7, 2022

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 279

Modeling Machine Learning Risk Advertising 279