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.” Bayesian data analysis and Monte Carlo simulations are common in finance and insurance. And it was good. For a few years, even.

Machine Learning 342

Machine Learning Testing Modeling Cost-Benefit 342

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. While these roles will not change, the foundational work of the finance organization, the structure, the import, and the focus of these dimensions will change. It’s a huge shift from the norm.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

DataRobot

AUGUST 15, 2019

Pepper Spain is one of the leading providers of consumer finance services in Spain, working with point-of-sale retailers across all industries to give them the best financing options for their business needs.

Machine Learning 9

Machine Learning Finance Optimization Predictive Modeling 9

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

Finance people think in terms of money, but line-of-business managers almost always think in terms of things. Predictive AI will shortly be a common feature of dedicated business planning software. AI also continuously monitors model accuracy and relevance to signal when it’s necessary to retrain models as conditions evolve.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

Cloudera

AUGUST 8, 2024

Cloudera is excited to announce a partnership with Allitix, a leading IT consultancy specializing in connected planning and predictive modeling. Data-backed Decisions Through Predictive Models Predictive models use historical data and analytics to forecast future outcomes through mathematical processes.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

BizAcuity

NOVEMBER 13, 2024

The Significance of Data-Driven Decision-Making In sectors ranging from healthcare to finance, data-driven decision-making has become a strategic asset. Advanced Analytics and Predictive Insights The real value of data lies in its ability to forecast trends and identify opportunities.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

datapine

AUGUST 14, 2019

Big companies that utilize R in their analytics operations, such as Google, Facebook, and LinkedIn , usually are finance and analytics-driven, as R has proved to be the top mechanism for data analysis, statistics, and machine learning. Source: RStudio. R is platform-independent, meaning it can be easily applied in each operating system.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

SEPTEMBER 10, 2024

Our IT evolution Having worked primarily in traditionally structured industries like oil and gas, government, education and finance, I’ve witnessed firsthand how technology was once considered a commodity, a cost center. In 2015, we attempted to introduce the concept of big data and its potential applications for the oil and gas industry.

IT 122

IT Risk Risk Management Predictive Modeling 122

Smarten

AUGUST 6, 2024

When they are given access to data analytics, they can merge their knowledge of an industry, e.g., research, healthcare, law, finance, sales, supply chain, production, construction etc., and other tools like Embedded BI , Mobile BI , Key Influencer Analytics , Sentiment Analysis , and Anomaly Alerts and Monitoring.

Predictive Modeling 62

Predictive Modeling Key Performance Indicator Data-driven Finance 62

CIO Business Intelligence

DECEMBER 19, 2024

Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52

IT IoT Machine Learning Optimization 52

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Finances: can Iower financial risk? How Do BI & BA Apply To Business?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

MAY 13, 2022

Accountants, finance professionals, purchasing managers, inventory professionals and other team members responsible for expenses and revenue need the right tools to do their jobs and, in this day of remote work and dispersed teams, that need is greater than ever. Provides proven, dependable support for users.

Analytics 76

Analytics Cost-Benefit Finance Data Quality 76

CIO Business Intelligence

MAY 9, 2024

That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI. This includes skills in statistical analysis, data visualization, and predictive modeling.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

For example, proposed forecasts may come from customers, if their forecasts are based on forward-looking information about product and technology plans that would be difficult for the data scientist to extract as inputs into a predictive model.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

datapine

JANUARY 31, 2022

The finances they get from these analytics will be reinvested in the players and their training, which means that players will get better and so will the games. For example, by using prediction models, they are able to generate a heatmap to tell drivers where they should place themselves to take advantage of the best demand areas.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JUNE 22, 2022

Furthermore, leading financial institutions poised for a digital banking future rely on data in motion to incorporate climate risk into all risk models when accounting for ESG factors, a topic that is increasingly taking centre stage in finance and investing discussions. What a platform needs to support data in motion.

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

APRIL 27, 2022

Furthermore, leading financial institutions poised for a digital banking future rely on data in motion to incorporate climate risk into all risk models when accounting for ESG factors, a topic that is increasingly taking centre stage in finance and investing discussions. What a platform needs to support data in motion.

IoT 99

IoT IT Manufacturing Internet of Things 99

CIO Business Intelligence

MARCH 19, 2025

Encourage cross-functional collaboration : Partner with IT, operations and finance teams to align data-driven sustainability efforts with broader business objectives. Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

APRIL 25, 2022

Cost: $9 per month for content and forum; $29 per month for the premium bundle; $899 per month for the month-to-month intensive program; $2,499 for the three-month intensive program (financing is available). Locations: Online. Practicum , by Yandex, is a digital reskilling program that offers bootcamps for data scientists and data analysts.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smarten

SEPTEMBER 28, 2022

In order to understand how businesses might use assisted predictive modeling and predictive analytics, let’s look at some business use cases and how analytical techniques can help the enterprise derive concise, clear information to support decisions and strategies. Predictive Analytics Using External Data.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Cloudera

MAY 23, 2024

The image above demonstrates a KMS built using the llama3 model from Meta. This application is contextualized to finance in India. Traditionally, models are measured by comparing predictions with reality, also called “ground truth.” This contextualization is possible thanks to RAG.

Management 80

Management Metrics Data Processing Machine Learning 80

CIO Business Intelligence

AUGUST 23, 2023

That need for complex mathematical modeling at scale makes the finance industry a perfect candidate for the promise of quantum computing, which makes (extremely) quick work of computations, including complex ones, delivering results in minutes or hours instead of weeks and months.

IT 97

IT Machine Learning Risk Optimization 97

Jet Global

APRIL 27, 2020

Finance departments can access transparent, real-time reporting of financial results at regional and store levels. Crucially, having a handle on vital financial details from point-of-sale onward helps finance to more easily identify variables that impact a customer’s relationship with the brand.

Finance 52

Finance Forecasting Sales Reporting 52

CIO Business Intelligence

MARCH 22, 2023

It is often used to train machine learning models and protect sensitive data in healthcare and finance. Limitation : While synthetic data may help train a predictive model, it only adequately covers some possible real-world data subspaces. Synthetic data can generate large amounts of data quickly and bypass privacy risks.

Machine Learning 105

Machine Learning Cost-Benefit Modeling Risk 105

Sisense

SEPTEMBER 25, 2020

Linear regression is a form of supervised learning (or predictive modeling). In supervised learning, the dependent variable is predicted from the combination of independent variables. When a single independent variable is used to predict the value of a dependent variable, it’s called simple linear regression. Clustering.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Cloudera

SEPTEMBER 7, 2023

Develop workshops, e-learning modules, and hands-on sessions designed to familiarize employees with the fundamentals of AI and its applications within the finance sector. AI can assist in assessing and investing in sustainable projects, a growing trend in the finance sector. Initiate basic AI training programs for staff.

Insurance 83

Insurance Risk Data-driven Data Quality 83

CIO Business Intelligence

AUGUST 7, 2023

Most executives have fairly siloed expertise and lean towards oversight of specific areas such as supply chain or finance.

IT 98

IT Sales Manufacturing Cost-Benefit 98

BI-Survey

JANUARY 29, 2023

In the context of corporate planning, predictive planning and forecasting, it is therefore a major trend to use predictive models based on statistical methods and ML for forecasting and thorough analysis. It is therefore worth considering options to make improvements beyond the core finance area.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 52

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

AWS Big Data

SEPTEMBER 13, 2024

CFM takes a scientific approach to finance, using quantitative and systematic techniques to develop the best investment strategies. Resulting datasets are then published to our data mesh service across our organization to allow our scientists to work on prediction models. This post is co-written with Julien Lafaye from CFM.

Interactive 107

Interactive Strategy Cost-Benefit Data Governance 107

Jedox

JULY 23, 2019

As the reliance on data-driven decisions becomes more prevalent in finance, there is a need to manage data better and remove data anomalies or errors in the “cleansing” process. These will certainly give you lots of insight and some very narrowly defined foresight, but unlikely to ever be widely defined 3-way predictions for Finance.

Technology 52

Technology Forecasting Finance Data-driven 52

Occam's Razor

OCTOBER 17, 2023

Iterate identification of the KPI with the finance process that approves the Purchase Order to fund the campaign. This gives you rare strength via all the power that Finance holds in most companies. It does not matter if you are in Marketing or Sales or Finance or HR. Smart – trusted, but verified – prediction models.

KPI 60

KPI Metrics Finance Key Performance Indicator 60

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. They are used in everything from robotics to tools that reason and interact with humans.

Risk 70

Risk Modeling Management Metadata 70

DataRobot Blog

JUNE 3, 2022

AI is touching our lives and societies in ways that no other technology has before, from improving human efficiency in the Health , Finance , and Communication sectors, to allowing humans to focus on other important decision-making tasks that machines cannot yet safely or creatively tackle.

Risk 52

Risk Predictive Modeling Modeling Machine Learning 52

Smarten

JUNE 26, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc.

Testing 40

Testing Statistics IT Business Intelligence 40

Occam's Razor

JANUARY 7, 2019

My professional areas of interest cover Customer Service, User Experience and Finance, though here on Occam’s Razor my focus is on influencing incredible Marketing through the use of innovative Analytics. There is too much goodness in modeling that you are not taking advantage of. Bonus: Reporting kills, analysis thrills.

Marketing Analytics 89

Marketing Analytics Marketing Analytics Strategy 89