O'Reilly on Data

JANUARY 22, 2019

Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. In other words, extreme events occur far more frequently than predicted by the normal distribution.

Modeling 208

Modeling Finance Uncertainty Data mining 208

Jet Global

NOVEMBER 19, 2020

2020 brought with it a series of events that have increased volatility and risk for most businesses. Clear visibility of what’s happening in the organization requires reliable tools and sound processes for reporting events and conditions in real time. Credit Risk. Revenue Concentration Risk.

Risk 98

Risk Reporting Enterprise Sales 98

datapine

OCTOBER 21, 2020

If you put on too many workers, you run the risk of having unnecessary labor costs add up. All this vital information can be coupled with other trackable data to identify potential health risks lurking. Chronic insomnia and an elevated heart rate can signal a risk for future heart disease for instance. on a permanent basis.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Jet Global

DECEMBER 21, 2020

In the more modern terminology of business, we could rephrase that to say “be careful about concentration risk.”. When an organization is too reliant on one company or market segment to drive revenue or ensure an adequate product supply, it creates concentration risk. Vendor Concentration Risk.

Risk 98

Risk Reporting Sales Forecasting 98

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Energy: Forecast long-term price and demand ratios. Financial services: Develop credit risk models.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

JULY 28, 2022

The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. Many experts are using predictive analytics technology to forecast the future value of bitcoin. The good news is that predictive analytics technology can reduce risk exposure for these investors.

Predictive Analytics 145

Predictive Analytics Analytics Forecasting Machine Learning 145

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

BizAcuity

FEBRUARY 22, 2019

Financial analytics is becoming an important and inherent part of software applications that are being used by event industry. The emergence of new business models, the changing needs of the traditional financial departments of event industry and advancements in technology have all led to the need for financial analytics. Sponsorships.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

IBM Big Data Hub

MARCH 27, 2024

Climate change causes extreme weather events across the world that endanger people’s lives and disrupt the businesses on which they depend. What is climate risk? To put it simply, climate risk is the potential for the effects of climate change to disrupt our current economic and social structures.

Risk 60

Risk Forecasting Insurance Strategy 60

CIO Business Intelligence

OCTOBER 9, 2024

Given supply chain complexities involving workforce capacity, demand forecasting, supply and transportation planning, and inventory and maintenance management, Petrobras was compromised by siloed and disparate data, information gaps, and broken end-to-end (E2E) processes. That hasn’t always been easy.

Forecasting 123

Forecasting Risk Consulting Optimization 123

CIO Business Intelligence

JANUARY 19, 2024

More than 120 ‘flavors’ to handle When your company is dealing with today’s volatile market, a variety of products, and a supply chain covering 120+ countries – each with its own rules and processes – demand planning, including forecasting, can get a bit gut-wrenching. Such was the case with Danone.

Forecasting 122

Forecasting IT Digital Transformation Machine Learning 122

CIO Business Intelligence

DECEMBER 7, 2023

Then there’s the southern island of Kyushu, the tail-end of Japan, which is particularly prone to increasingly frequent and more intense disasters such as heavy-rain events, typhoons, and earthquakes. So far, the solution has increased details about disaster-response risk by 40% over traditional methods.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

IBM Big Data Hub

MARCH 25, 2024

As the effects of climate change intensify, extreme weather events are becoming increasingly frequent and severe. The US experienced 25 extreme weather events in 2023, each causing losses of over USD 1 billion, with a total cost of USD 73.8 These climate events have a huge potential impact on financial institutions.

Insurance 85

Insurance Forecasting Risk Risk Management 85

CIO Business Intelligence

JUNE 13, 2024

billion by 2027, according to a forecast by IDC , which translates to an annual growth rate of 86.1% With SecureIT New York coming up on July 11, we asked event speaker Ryan O’Leary, Research Director of Privacy and Legal Technology at IDC, to discuss the ethics of generative AI. over the three-year period. Read on for his thoughts.

Forecasting 137

Forecasting Risk Machine Learning Finance 137

Andrew White

JULY 24, 2021

The new set of normals (there may not be a single new normal for some time) organizations will experience going forward, including growth, risk, opportunity and stress, all the same time, triggered a need to re-think how executives and everyone else takes decisions. Assumptions based on past experience fail.

Forecasting 133

Forecasting Publishing Modeling Risk 133

Cloudera

AUGUST 3, 2021

Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Advanced analytics empower risk reduction . Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

IBM Big Data Hub

MAY 1, 2024

From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless. Generative AI, with its ability to autonomously generate solutions to complex problems, will revolutionize every aspect of the supply chain landscape.

Forecasting 78

Forecasting Optimization Digital Transformation Risk 78

Smart Data Collective

AUGUST 24, 2022

Predictive analytics models with these algorithms can be useful for forecasting future bitcoin prices. Predicting Asset Values Based on Geopolitical Events. However, this approach might not be as useful for bitcoin as stocks, because the markets tend to be less efficient and are more easily affected by external events.

Predictive Analytics 132

Predictive Analytics Analytics Marketing Analytics Technologies 132

CIO Business Intelligence

NOVEMBER 8, 2023

This requires knowing the risks involved with the cloud, which include external risks and threats, as well as internal risks and threats that could not only lead to a security compromise or an embarrassing leak but may affect organizations’ overall productivity and efficiency. 8 Complexity. 8 Complexity.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It is stocked with data gathered from multiple authoritative sources and available for immediate analysis, forecasting, planning and reporting.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

Smart Data Collective

SEPTEMBER 19, 2022

They can also anticipate industry trends, assess risks, and make strategic steps to elevate the customer experience. Improving Risk Assessment. Data analytics fintech provides crucial information financial institutions need to build a robust risk assessment strategy. Forecasting Future Market Trends. Improving Security.

Big Data 145

Big Data ROI Measurement Machine Learning 145

Smart Data Collective

SEPTEMBER 30, 2021

Drought Risk Assessment and Prediction. With climate change on the rise, more severe weather events such as drought are becoming more prevalent. Faster restoration of power after power disturbances (which is critical in severe weather events like snowstorms or heatwaves.). Overall, droughts have cost the world $1.5

Machine Learning 134

Machine Learning Cost-Benefit Optimization Forecasting 134

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Jet Global

JANUARY 28, 2021

Far-reaching global events are becoming ever more common disturbances for multinational enterprises (MNEs), yet their impacts remain difficult to predict and mitigate. Read our top tips on how to manage tax forecasts. Such impacts include changes to pricing, cross-border transactions, tax regimes and government assistance programs.

Software 98

Software Forecasting Finance Measurement 98

Smart Data Collective

SEPTEMBER 12, 2021

Most investments have a risk involved and the last thing you want is to lose it without a backup fund. You can use data analytics tools to forecast future expenses and assess the probability of various costly events (such as your car breaking down based on its age and model), so you can create an emergency fund that addresses these risks.

Data-driven 116

Data-driven Strategy Big Data Cost-Benefit 116

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Similarly, the European Central Bank is issuing stress testing requirements related to climate risk given the potential economic shifts related to addressing climate change. It has been argued that phase transitions may have emerged as responses to unpredictable events. .

Testing 95

Testing Management Risk Management Forecasting 95

datapine

JUNE 15, 2023

By being able to make informed decisions, you’ll ensure your goals are being met with less financial risk, thanks to smart resource allocation. This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Jet Global

FEBRUARY 2, 2021

If the events of the past year have taught us anything, it is that we should expect the unexpected. Thankfully, governments stepped in to stabilize the situation, but in the wake of those events, volatility still prevails to a great degree. Forecasting and planning have taken on much greater importance than ever before.

Forecasting 96

Forecasting Finance Uncertainty Dashboards 96

CIO Business Intelligence

APRIL 25, 2022

It’s no secret that companies face major hurdles and risks when it comes to global supply chains. Forecast risks before they occur. The platform allows collaboration from order management, forecasting, capacity planning, inventory and quality, to cost management. Responding collaboratively makes you stronger.”.

Risk 52

Risk Forecasting Machine Learning Management 52

Smart Data Collective

JUNE 4, 2021

Probability is the measurement of the likelihood of events. Probability distributions are collections of all events and their probabilities. The list of rewards and risks is given as input to the algorithm. The algorithm deduces the best approaches to maximize rewards and minimize risks. Probability. Reinforcement.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

CIO Business Intelligence

FEBRUARY 13, 2024

Recent breakthroughs in generative AI (GenAI) are reshaping the technological landscape at an unprecedented rate, and IDC forecasts that annual worldwide spending on AI-centric systems will exceed 300 billion USD by 2026. So, what CIOs can expect from the two-day event?

Data Processing 98

Data Processing Forecasting Risk Optimization 98

CIO Business Intelligence

MAY 23, 2023

These risks, as well as other risks related to the proposed transaction, are included in the registration statement on Form S-4 and proxy statement/prospectus that has been filed with the Securities and Exchange Commission (“SEC”) in connection with the proposed transaction.

Uncertainty 145

Uncertainty Cost-Benefit Risk Enterprise 145

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Data Science 137

Smart Data Collective

JULY 25, 2019

Aiding With Risk Assessments. Companies work in the risk assessment realm when representatives decide whether to offer insurance or loans to clients. Some big data AI companies assist underwriters with making risk assessment decisions. Plus, the high-profile event demands constant security.

Big Data 107

Big Data Insurance Risk Cost-Benefit 107

Smart Data Collective

MAY 21, 2019

There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. While it is true that you can’t change the weather, you can use big data to help prepare for it and minimize the risk of disasters.

Big Data 101

Big Data Cost-Benefit Predictive Analytics Insurance 101