O'Reilly on Data

JUNE 15, 2023

“Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms. We satisfice.” This is a mistake.

Risk 325

Risk Optimization Modeling Reporting 325

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

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

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 143

Software Risk Enterprise Cost-Benefit 143

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 174

Testing Data-driven Software Measurement 174

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 27, 2023

Developing and deploying successful AI can be an expensive process with a high risk of failure. Six tips for deploying Gen AI with less risk and cost-effectively The ability to retrain generative AI for specific tasks is key to making it practical for business applications. The possibilities are endless, but so are the pitfalls.

Risk 132

Risk Cost-Benefit Modeling Optimization 132

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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

NOVEMBER 13, 2024

The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And we’re at risk of being burned out.”

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

FEBRUARY 26, 2025

Opkey, a startup with roots in ERP test automation, today unveiled its agentic AI-powered ERP Lifecycle Optimization Platform, saying it will simplify ERP management, reduce costs by up to 50%, and reduce testing time by as much as 85%. Other implementations will follow.

Optimization 64

Optimization Testing Manufacturing Finance 64

CIO Business Intelligence

MARCH 4, 2025

From AI models that boost sales to robots that slash production costs, advanced technologies are transforming both top-line growth and bottom-line efficiency. The takeaway is clear: embrace deep tech now, or risk being left behind by those who do. Today, that timeline is shrinking dramatically.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. This capability can be useful while performing tasks like backtesting, model validation, and understanding data lineage.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

OCTOBER 2, 2023

Noting potential pitfalls and best practices for an easy certification can help mitigate risk, maximize return on investment, and save money. Oracle customers must undergo a complicated certification process that includes a license audit to calculate a fixed number of licenses.

ROI 104

ROI Optimization Enterprise Modeling 104

Smart Data Collective

FEBRUARY 28, 2023

One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. However, before we get started, we will provide an overview of the concept of risk parity. What is risk parity? What is risk parity?

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

David Menninger's Analyst Perspectives

NOVEMBER 5, 2024

For example, many tasks in the accounting close follow iterative paths involving multiple participants, as do supply chain management events where a delivery delay can set up a complex choreography of collaborative decision-making to deal with the delay, preferably in a relatively optimal fashion.

Optimization 130

Optimization Machine Learning Software Interactive 130

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. You must detect when the model has become stale, and retrain it as necessary. The guardrail metric is a check to ensure that an AI doesn’t make a “mistake.”

Marketing 364

Marketing Experimentation Metrics Testing 364

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 364

Modeling Interactive Optimization Deep Learning 364

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm. For example, the trading duration, volatility and risk involved, among other things.

Visualization 145

Visualization Optimization Analytics Testing 145

CIO Business Intelligence

NOVEMBER 19, 2024

You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots. You build your model, but the history and context of the data you used are lost, so there is no way to trace your model back to the source.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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

CIO Business Intelligence

OCTOBER 10, 2024

The growing importance of ESG and the CIO’s role As business models become more technology-driven, the CIO must assume a leadership role, actively shaping how technologies like AI, genAI and blockchain contribute to meeting ESG targets. Similarly, blockchain technologies have faced scrutiny for their energy consumption.

Metrics 124

Metrics Optimization Strategy Technology 124

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

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 122

IT Insurance Consulting Risk 122

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 48

Machine Learning Management Enterprise Risk Management 48

CIO Business Intelligence

DECEMBER 14, 2023

As CIOs seek to achieve economies of scale in the cloud, a risk inherent in many of their strategies is taking on greater importance of late: consolidating on too few if not just a single major cloud vendor. This is the kind of risk that may increasingly keep CIOs up at night in the year ahead.

Risk 131

Risk Cost-Benefit Strategy Risk Management 131

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

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Technical competence results in reduced risk and uncertainty. AI initiatives may also require significant considerations for governance, compliance, ethics, cost, and risk.

Advertising 357

Advertising Cost-Benefit ROI Machine Learning 357

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? Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. GPT-2, 3, 3.5,

IT 344

IT Modeling Testing Risk 344

Cloudera

JANUARY 7, 2025

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Data-driven Strategy 82

CIO Business Intelligence

JANUARY 30, 2025

Chinese AI startup DeepSeek made a big splash last week when it unveiled an open-source version of its reasoning model, DeepSeek-R1, claiming performance superior to OpenAIs o1 generative pre-trained transformer (GPT). Most language models use a combination of pre-training, supervised fine-tuning, and then some RL to polish things up.

Modeling 117

Modeling Data-driven Technology Strategy 117

CIO Business Intelligence

DECEMBER 11, 2024

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Thats one of the catches of proprietary commercial models, he says. Its possible to opt-out, but there are caveats.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

JULY 22, 2024

As a result, organizations were unprepared to successfully optimize or even adequately run their cloud deployments and manage costs, prompting their move back to on-prem. CIOs also now can consider edge computing and micro data centers as alternatives to traditional dedicated data centers, cloud, and aaS models. a private cloud).

Optimization 128

Optimization Strategy IT Cost-Benefit 128

O'Reilly on Data

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good. Context, for one.

Machine Learning 335

Machine Learning Testing Modeling Cost-Benefit 335

O'Reilly on Data

APRIL 23, 2024

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. But over time, something went very wrong.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338