Analytics Vidhya

APRIL 14, 2023

Artificial Intelligence (AI) has revolutionized several fields, from healthcare and finance to gaming and transportation. Recently, researchers have shown that OpenAI’s generative AI model, GPT-4, has the capability to do scientific research all on its own!

Finance 319

Finance Modeling Analytics Experimentation 319

O'Reilly on Data

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

Unstructured Data 318

Unstructured Data Structured Data Modeling Statistics 318

Analytics Vidhya

JUNE 17, 2024

Introduction The log-normal distribution is a fascinating statistical concept commonly used to model data that exhibit right-skewed behavior. This distribution has wide-ranging applications in various fields, such as biology, finance, and engineering.

Statistics 319

Statistics Finance Modeling Analytics 319

David Menninger's Analyst Perspectives

JANUARY 15, 2025

ISG Research asserts that by 2027, one-third of enterprises will incorporate comprehensive external measures to enable ML to support AI and predictive analytics and achieve more consistently performative planning models. External data is also essential for creating robust ML systems that support AI.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

APRIL 6, 2023

For many applications, including online customer service, marketing, and finance, the stock price is a crucial challenge.

Finance 318

Finance Modeling Marketing Analytics 318

Analytics Vidhya

AUGUST 2, 2022

Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc. Many ML models are black boxes since it is difficult to […]. This article was published as a part of the Data Science Blogathon.

Finance 291

Finance Data Science Publishing Modeling 291

CIO Business Intelligence

SEPTEMBER 29, 2023

In the finance and banking industry, however, organizations are seeking extra guidance on the best way forward. That’s because generative AI large language models (LLMs) have prowess in text-based generation, readily finding language and word patterns. And the finance industry is investing to do so. In short, yes. Automation.

Finance 133

Finance Unstructured Data Risk Cost-Benefit 133

Cloudera

JANUARY 7, 2025

I’m reminded of a previous place where I worked in finance and reported to the CFO. Ryan: Instead of looking in the past, we’ve built a predictive model and its origins come from people trusting in usthey ask us about different scenarios. Theres so much more we can use with this model. That obviously stunned me.

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

Analytics Vidhya

JUNE 21, 2023

The adaptability of transformers makes these models invaluable for handling various document formats. Applications span industries like law, finance, and academia. Extracting critical information from PDFs is vital today, and transformers offer an efficient solution for automating PDF summarization.

Finance 290

Finance Modeling Analytics Data Science 290

Dataiku

SEPTEMBER 17, 2024

Today’s modern finance teams are facing a pivotal moment. As businesses increasingly rely on real-time insights and advanced analytics, finance professionals must modernize their workflows to keep up. The days of juggling disparate spreadsheets, manual processes, and siloed data are over.

Finance 98

Finance Predictive Modeling Modeling Technology 98

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. If every company had a different way of reporting its finances, it would be impossible to regulate them. The companies are collecting massive amounts of data on how people use these systems.

Metrics 359

Metrics Reporting Measurement Finance 359

CIO Business Intelligence

FEBRUARY 4, 2025

Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. This only fortified traditional models instead of breaking down the walls that separate people and work inside our organizations. And its testing us all over again.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

CIO Business Intelligence

JANUARY 2, 2025

Either you didnt have the right data to be able to do it, the technology wasnt there yet, or the models just werent there, Wells says of the rash of early pilot failures. Would you really rather have10,000 enterprises go off and try to build a customer support agent and an HR agent, and a finance agent?

Experimentation 144

Experimentation Digital Transformation Technology Finance 144

Analytics Vidhya

NOVEMBER 21, 2024

Sentiment analysis in finance is a powerful tool for understanding market trends and investor behavior. However, general sentiment analysis models often fall short when applied to financial texts due to their complexity and nuanced nature. This project proposes a solution by fine-tuning GPT-4o mini, a lightweight language model.

Finance 208

Finance Modeling Marketing Analytics 208

CIO Business Intelligence

NOVEMBER 27, 2024

Data quality for AI needs to cover bias detection, infringement prevention, skew detection in data for model features, and noise detection. Not all columns are equal, so you need to prioritize cleaning data features that matter to your model, and your business outcomes. asks Friedman.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

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

DECEMBER 5, 2024

This enables use cases such as near real-time disaster recovery over photonics-based links in industries like banking and finance, vehicle-to-vehicle communication in an autonomous vehicle scenario, and real-time edge-to-data center connections for robotics applications in factories, or at remote sites in mining or oil and gas industries.

Finance 131

Finance Consulting Technology Data Processing 131

O'Reilly on Data

SEPTEMBER 19, 2023

” Web3 has similarly progressed through “basic blockchain and cryptocurrency tokens” to “decentralized finance” to “NFTs as loyalty cards.” Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. And it was good. For a few years, even.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

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

NOVEMBER 19, 2024

Robust cloud cost management tools and practices that foster collaboration between IT, finance, and business units can help ensure alignment and effective optimization of cloud investments,” notes Morris.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

O'Reilly on Data

MAY 14, 2020

Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model. In reality, many candidate models (frequently hundreds or even thousands) are created during the development process. Modelling: The model is often misconstrued as the most important component of an AI product.

Management 364

Management Experimentation B2B Machine Learning 364

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 145

Modeling Digital Transformation Software Manufacturing 145

O'Reilly on Data

JUNE 27, 2023

Doing so means giving the general public a freeform text box for interacting with your AI model. ” ) 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. The model is not deterministic. That doesn’t sound so bad, right?

Risk Management 321

Risk Management Risk Management Modeling 321

CIO Business Intelligence

NOVEMBER 4, 2024

Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services. AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge.

Finance 89

Finance Sales Reporting Optimization 89

datapine

JUNE 18, 2019

In addition to empowering you to take a proactive approach concerning the management of your company’s finances, financial reports help assist in increasing long-term profitability through short-term financial statements. Exclusive Bonus Content: Reap the benefits of the top reports in finance! What Is A Finance Report?

Reporting 251

Reporting Metrics KPI Finance 251

O'Reilly on Data

APRIL 4, 2024

The race to the top is no longer driven by who has the best product or the best business model, but by who has the blessing of the venture capitalists with the deepest pockets—a blessing that will allow them to acquire the most customers the most quickly, often by providing services below cost. Venture capitalists don’t have a crystal ball.

Marketing 236

Marketing Finance Modeling Experimentation 236

O'Reilly on Data

APRIL 22, 2020

Three months ago, Apple released a new credit card in partnership with Goldman Sachs that aimed to disrupt the highly regulated world of consumer finance. Apple is a great producer of computer hardware, while Goldman knows finance and its complex rules backwards and forwards. Ethics is much more slippery.

Cost-Benefit 312

Cost-Benefit Finance Data-driven Strategy 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

MARCH 6, 2024

What has IT’s role been in the transformation to a SaaS model? We built that end-to-end data model and process from scratch while we ran the old business. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6 Today, we’re a $1.6

Modeling 116

Modeling Management IT Metrics 116

O'Reilly on Data

APRIL 30, 2024

Others retort that large language models (LLMs) have already reached the peak of their powers. These are risks stemming from misalignment between a company’s economic incentives to profit from its proprietary AI model in a particular way and society’s interests in how the AI model should be monetised and deployed.

Risk 317

Risk Advertising Cost-Benefit Sales 317

CIO Business Intelligence

NOVEMBER 21, 2024

The UAE provides a similar model to China, although less prescriptive regarding national security. In particular, the UAE AI Office created an AI license requirement for applications in the Dubai International Finance Centre. UAE has proactively embraced AI, to both foster innovation while providing secure and ethical AI capabilities.

Consulting 120

Consulting Risk Risk Management Marketing 120

CIO Business Intelligence

NOVEMBER 13, 2024

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. But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

NOVEMBER 21, 2024

Hidden costs and price hikes Deploying AI takes a different approach than other technologies, adds Sumit Johar, CIO at finance software vendor BlackLine. The real issue is that cost of operationalizing gen AI isn’t always understood until you try to deploy it successfully,” he says.

Management 124

Management Interactive ROI Software 124

CIO Business Intelligence

MARCH 5, 2025

AI requires massive datasets, customized models, and ongoing fine-tuning. Reliable large language models (LLMs) with advanced reasoning capabilities require extensive data processing and massive cloud storage, which significantly increases cost. orchestrates multiple AI models alongside human expertise and other AI-powered analytics.

Insurance 85

Insurance Cost-Benefit Interactive Enterprise 85

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 124

Modeling Cost-Benefit IT ROI 124

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. When customer records are duplicated or incomplete, personalization fails.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102