Jet Global

MARCH 30, 2021

It follows that tax teams should think about how they can make significant contributions to the ERM planning process by providing short, mid- and long-term ETR forecasts based on accurate financial information. Take Responsibility for Risk Oversight. Take Responsibility for Risk Oversight. Foster an Appropriate Risk Mindset.

Risk Management 98

Risk Management Risk Strategy Enterprise 98

Smart Data Collective

JANUARY 14, 2021

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. While this obviously means that there is more risk, it also gives more informed investors a chance to beat market benchmarks.

Predictive Analytics 80

Predictive Analytics Forecasting Analytics Machine Learning 80

IBM Big Data Hub

MARCH 25, 2024

For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. Longer-term local climate change risks might still devalue property that hasn’t suffered damage. As a result, their market would shrink.

Insurance 90

Insurance Forecasting Risk Risk Management 90

John Wheeler

APRIL 16, 2021

This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. Given that Gartner forecasts double digit growth (12.6%) for the IRM technology market in 2021 , the nature of these innovative product uses will span 10 use case domains (see figure below).

Risk Management 59

Risk Management Risk Management Internet of Things 59

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

Dataiku

APRIL 5, 2019

Forecasting and planning are some of the very oldest use cases of modern statistics - businesses as far back as the 1950s used computer-based modeling to anticipate risks and make decisions.

Forecasting 65

Forecasting Statistics Risk Modeling 65

DataRobot Blog

JUNE 27, 2022

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. These observations would have spanned a distribution, which the model leveraged to make its forecasts.

Risk 59

Risk Modeling Metrics Measurement 59

Jedox

SEPTEMBER 11, 2019

Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” Many of the algorithms used for budgeting, planning, and forecasting are already in use and were proven decades ago. This is not just risk mitigation. Experimental” Technology.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. PODCAST: COVID 19 | Redefining Digital Enterprises. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. More advanced predictive analytics tools consider economic conditions when forecasting customer purchasing patterns.

Big Data 78

Big Data Uncertainty Risk Data mining 78

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 114

Forecasting IT Digital Transformation Machine Learning 114

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

Strategy 85

Strategy Management Forecasting Cost-Benefit 85

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

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

DataRobot Blog

DECEMBER 6, 2022

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Forecast Time Series at Scale with Google BigQuery and DataRobot.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

IBM Big Data Hub

SEPTEMBER 6, 2023

Obsolete data and financial projections A budget, at its core, is a financial forecast. Unanticipated risks Good budgeting plans for risks. Using an old budget can result in inadequate hedging strategies, poor financial decisions, exposure to unfavorable currency fluctuations or misjudged credit risks.

Forecasting 87

Forecasting Marketing Risk Sales 87

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 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We Our biggest risk is if our employees don’t use AI as much as they could.”

Enterprise 130

Enterprise Cost-Benefit Forecasting Strategy 130

CIO Business Intelligence

DECEMBER 7, 2023

A nation known for innovative efficiency was a failure in one key area It goes without saying that the faster and more effectively disasters can be forecasted, detected, and responded to, the better the chance of minimizing damage and saving lives. And the key to success is having data that can be analyzed for actionable insights.

IoT 85

IoT Internet of Things Forecasting Digital Transformation 85

Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

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. That’s a big item on the corporate balance sheet, and it places the onus on CFOs to make sure their organizations are harnessing AI the right way. It’s a huge shift from the norm.

Finance 95

Finance Forecasting IoT Predictive Modeling 95

Jet Global

DECEMBER 8, 2020

A full Power BI implementation is a large-scale project, and it carries similar risks. If you are considering using Power BI in your organization, here are some key points to keep in mind that impact project risk: 1. Power BI Without the Risk. Power BI Is Highly Complex. That’s a relatively straightforward proposition.

Finance 52

Finance Risk Reporting Software 52

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Predictive Analytics for Sales Forecasting.

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

Jedox

APRIL 10, 2019

When embracing better-practice, balancing risk to return can be complex and choosing a path that delivers high business value, with minimum disruption is not always easy. This approach meant they avoided the risk of waiting 6-12 months to get any result. It was low-risk and required minimal training.

Digital Transformation 42

Digital Transformation Risk Finance Sales 42

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 130

Cost-Benefit Risk Digital Transformation Reporting 130

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. However, there is one form of AI that will allow businesses to see almost an immediate value: Predictive AI.

Forecasting 121

Forecasting Machine Learning Software Data-driven 121

CIO Business Intelligence

DECEMBER 14, 2023

Additionally, generative AI can help with demand forecasting by using historical data to predict demand fluctuations and improve inventory management. Risk management Manufacturing operations are inherently prone to risks and disruptions, such as cyber vulnerabilities, operational safety, and others.

Manufacturing 133

Manufacturing Cost-Benefit Unstructured Data Optimization 133

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

Key Performance Indicator 78

Key Performance Indicator Forecasting Data Integration Sales 78

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price. Application of AI in Supply Chain.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise.

Manufacturing 112

Manufacturing Forecasting Technology Software 112

CIO Business Intelligence

FEBRUARY 20, 2024

Microsoft Copilot can bring to bear a range of capabilities to help manufacturers mitigate risk, manage their inventory, improve planning, and make informed decisions quickly across the entire supply chain.

Manufacturing 87

Manufacturing Sales Risk Management Forecasting 87

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 108

Analytics Digital Transformation Risk Forecasting 108

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. Where is all of that data going to come from? This is a testament to the brand-boosting power of big data in logistics.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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. Generative AI

Data Processing 86

Data Processing Forecasting Risk Optimization 86

John Wheeler

AUGUST 17, 2021

The world of risk is growing more complex and dynamic as organizations navigate challenges associated with COVID-19, privacy, ethics and compliance, ESG, cybersecurity and digital business. These challenges continue to drive Gartner client demand and inquiry for integrated risk management (IRM) products and services.

Risk Management 52

Risk Management Risk Forecasting Publishing 52

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. To optimally provide for those most at-risk, real-world timelines must be aligned with real-world needs. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98