CIO Business Intelligence

DECEMBER 18, 2024

Trading: GenAI optimizes quant finance, helps refine trading strategies, executes trades more effectively, and revolutionizes capital markets forecasting. Using deep neural networks and Azure GPUs built with NVIDIA technology, startup Riskfuel is developing accelerated models based on AI to determine derivative valuation and risk sensitivity.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

CIO Business Intelligence

NOVEMBER 25, 2024

AI has the potential to transform industries, but without reliable, relevant, and high-quality data, even the most advanced models will fall short. Data quality is about ensuring that what you feed into the model is accurate, consistent, and relevant to the problem you’re trying to solve. Coverage across platforms for full context.

Data Quality 99

Data Quality ROI Interactive Modeling 99

David Menninger's Analyst Perspectives

NOVEMBER 5, 2024

By significantly compressing the time between steps in a collaborative process, this type of software can shorten cycles in cases where the degree of complexity in human interactions and their required coordination is relatively high. This includes improving accuracy as more data is processed in ongoing model training cycles.

Optimization 130

Optimization Machine Learning Software Interactive 130

CIO Business Intelligence

MARCH 25, 2025

Using the companys data in LLMs, AI agents, or other generative AI models creates more risk. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Playing catch-up with AI models may not be that easy.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

CIO Business Intelligence

NOVEMBER 19, 2024

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. This allows greater flexibility of the activities and efficiency in executing each task.

Testing 135

Testing Cost-Benefit Interactive ROI 135

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. In retail, they can personalize recommendations and optimize marketing campaigns.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. SS&C uses Metas Llama as well as other models, says Halpin. Devin scored nearly 14%.

Software 143

Software Risk Enterprise Cost-Benefit 143

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. ” Most recently, I’ve been thinking about this in terms of the space we currently call “AI.”

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

CIO Business Intelligence

DECEMBER 9, 2024

These developments come as data shows that while the GenAI boom is real and optimism is high, not every organisation is generating tangible value so far. Alone, it is insufficient to respond effectively to interactions and deliver meaningful outcomes. For example, GenAI must be seen as a core element of the business strategy itself.

Technology 98

Technology Insurance Interactive Reporting 98

AWS Big Data

NOVEMBER 22, 2024

Athena plays a critical role in this ecosystem by providing a serverless, interactive query service that simplifies analyzing vast amounts of data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL. Scheduling and automation – dbt Cloud comes with a job scheduler, allowing you to automate the execution of dbt models.

Data Lake 84

Data Lake Data Warehouse Cost-Benefit Data Transformation 84

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines. Over the past decade, business intelligence has been revolutionized.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 277

Machine Learning Risk Management Statistics 277

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 107

Metadata Snapshot Cost-Benefit Optimization 107

CIO Business Intelligence

JANUARY 21, 2025

With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says. Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Analytics Vidhya

DECEMBER 19, 2023

This comprehensive guide aims to assist content creators in optimizing their prompts to generate more accurate and relevant AI-generated content. With the increasing reliance on AI in various industries, this guide is set to revolutionize the way we interact with […] The post Are Your Prompts Powerful Enough?

Interactive 244

Interactive Optimization Analytics IT 244

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 125

Optimization Snapshot Metadata Cost-Benefit 125

O'Reilly on Data

SEPTEMBER 15, 2020

This in turn would increase the platform’s value for users and thus increase engagement, which would result in more eyes to see and interact with ads, which would mean better ROI on ad spend for customers, which would then achieve the goal of increased revenue and customer retention (for business stakeholders).

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

NOVEMBER 7, 2024

The status of digital transformation Digital transformation is a complex, multiyear journey that involves not only adopting innovative technologies but also rethinking business processes, customer interactions, and revenue models.

Digital Transformation 128

Digital Transformation Metrics Measurement Key Performance Indicator 128

AWS Big Data

APRIL 8, 2025

We will explore Icebergs concurrency model, examine common conflict scenarios, and provide practical implementation patterns of both automatic retry mechanisms and situations requiring custom conflict resolution logic for building resilient data pipelines. This scenario applies to any type of updates on an Iceberg table.

Snapshot 117

Snapshot Management Metadata Big Data 117

CIO Business Intelligence

JANUARY 5, 2025

According to PwC, organizations can experience incremental value at scale through AI, with 20% to 30% gains in productivity, speed to market, and revenue, on top of big leaps such as new business models. [2]

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

AWS Big Data

AUGUST 8, 2024

AppsFlyer empowers digital marketers to precisely identify and allocate credit to the various consumer interactions that lead up to an app installation, utilizing in-depth analytics. It’s designed to make it straightforward for users to analyze data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL queries.

Interactive 118

Interactive Metadata Optimization Testing 118

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 Strategy Data-driven 82

AWS Big Data

NOVEMBER 7, 2024

Custom context enhances the AI model’s understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations. Your queries, data and database schemas are not used to train a generative AI foundational model (FM).

Metadata 97

Metadata Sales Data Warehouse Optimization 97

AWS Big Data

DECEMBER 17, 2024

First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have enhanced autonomics algorithms to generate and implement smarter and quicker optimal data layout recommendations for distribution and sort keys, further optimizing performance.

Data Lake 82

Data Lake Data Warehouse Data-driven Optimization 82

IBM Big Data Hub

NOVEMBER 8, 2023

Large Language Models (LLMs) are at the heart of this new disruption. Once the foundation model is fine-tuned for semantic understanding, it can better understand business users’ prompts and intents. Generative AI-powered assistants are transforming businesses through intelligent conversational interfaces.

Optimization 116

Optimization Data-driven Modeling Enterprise 116

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon EMR provides a big data environment for data processing, interactive analysis, and machine learning using open source frameworks such as Apache Spark, Apache Hive, and Presto. The answer is yes.

Metadata 89

Metadata Data Lake Modeling Data Warehouse 89

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

OCTOBER 24, 2024

The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. Determining the optimal level of autonomy to balance risk and efficiency will challenge business leaders,” Le Clair said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

IBM Big Data Hub

FEBRUARY 5, 2024

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

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. Sources of model risk. Model risk management. Image by Ben Lorica.

Machine Learning 51

Machine Learning Management Enterprise Risk Management 51

CIO Business Intelligence

SEPTEMBER 6, 2024

The complexity of handling data—from writing intricate SQL queries to developing machine learning models—can be overwhelming and time-consuming. These AI-driven solutions are coming to the forefront of transforming how IT professionals interact with and leverage data, making their everyday roles more efficient and impactful.

IT 124

IT Machine Learning Dashboards Data-driven 124

IBM Big Data Hub

NOVEMBER 6, 2023

Gateways create a single entry point for all API requests, and act as a security layer by applying security policies, helping to standardize API interactions and offering features like request/response transformation, caching and logging. AI technologies can also enable automated threat modeling.

Optimization 113

Optimization Testing Software Risk 113

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

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