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

Jedox

AUGUST 13, 2020

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

Forecasting 52

Forecasting Risk Finance Software 52

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

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 Cost-Benefit Internet of Things Optimization 275

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

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 137

Forecasting Machine Learning Software Data-driven 137

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? million people at risk of catastrophic, flooding.

Optimization 52

Optimization Machine Learning Insurance Risk 52

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

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.

Data Processing 98

Data Processing Forecasting Risk Optimization 98

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. Operational costs.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

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.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

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. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

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

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 119

Manufacturing Forecasting Technology Software 119

IBM Big Data Hub

DECEMBER 18, 2023

For example, planners in fire-prone California use tools that incorporate remote sensing, vector data and satellite images to formulate disaster response plans and optimal placement of fire hydrants. Optimizing crew schedules and shifting to proactive maintenance helps minimize downtime while increasing customer satisfaction.

Internet of Things 106

Internet of Things IoT Forecasting Visualization 106

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 86

Cost-Benefit Scorecard Risk Recreation/Entertainment 86

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

APRIL 5, 2022

Enterprises face multiple risks throughout their supply chains, Deloitte says, including shortened product life cycles and rapidly changing consumer preferences; increasing volatility and availability of resources; heightened regulatory enforcement and noncompliance penalties; and shifting economic landscapes with significant supplier consolidation.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

Smart Data Collective

DECEMBER 16, 2019

In the search for a solution that will access, organize, and cleanse their data, enterprises have no alternative but to invest in high-end data optimization software. This can only be achieved by having a system that will easily optimize data on your cloud and on-premises IT infrastructure resources.

Optimization 54

Optimization Enterprise Internet of Things Cost-Benefit 54

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 107

Analytics Digital Transformation Risk Forecasting 107

CIO Business Intelligence

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. At Eaton, for example, an AI-based sales forecasting tool has the potential to boost productivity dramatically. We want to maintain discipline and go deep.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

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

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 83

Key Performance Indicator Forecasting Data Integration Sales 83

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. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

NOVEMBER 20, 2023

Sales optimization In sales, AI can provide account reps with the information they need to close deals. Hotels could dynamically adjust room rates based on traffic forecasts, weather conditions, and events in the area. Supply chain logistics Optimizing supply chains is a daunting task because of the number of variables involved.

Sales 131

Sales Cost-Benefit Manufacturing Forecasting 131

IBM Big Data Hub

JANUARY 22, 2024

As-a-service models are expected to become more prevalent, with IDC forecasting that 65% of tech buyers will prioritize these models by 2026​​ This shift echoes the response to economic pressures and the need to fill talent gaps in IT operations.

Data-driven 110

Data-driven Forecasting Consulting Marketing 110

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. As solar PV systems are added, the calculation methods automatically adapt.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

IBM Big Data Hub

JULY 26, 2023

Discover the current and emerging use cases for AI in waste management, optimization, energy reduction and ESG reporting. AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. Matching resources to demand more closely helps to save energy.

Optimization 80

Optimization Manufacturing Cost-Benefit Risk 80

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. In addition to enhanced decision-making, flexibility and visibility, analytics engines paired with AI can help manage supplier risk.

Strategy 105

Strategy Technology Cost-Benefit Risk Management 105

CIO Business Intelligence

OCTOBER 11, 2023

AI also forecasts demand so that energy companies can plan their modernization and expansion efforts. As a result, utilities can improve uptime for their customers while optimizing operations to keep costs low. AI can help by proactively monitoring operations and flagging when an organization is at risk for non-compliance.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

IBM Big Data Hub

DECEMBER 4, 2023

It empowers businesses in their sales planning, budgeting and forecasting processes.   Adoption barriers  The steep learning curve associated with planning tools can restrict overall adoption and hinder their effective use in supporting budgeting, investments and forecasting planning. . 

Forecasting 51

Forecasting Finance Optimization Marketing 51

CIO Business Intelligence

SEPTEMBER 7, 2023

The second challenge is managing new risks, which stem primarily from the threat of misinformation. Since the consequence of failure is high, the defense industry must strike a deft balance between innovation and risk management. (more about this in my article about accelerating generative AI here ). billion by 2032.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Risk Management 119

Jedox

SEPTEMBER 29, 2021

Sales Performance Management (SPM) is a unified approach to analyze, plan, and optimize sales processes withing an organization. Those are all good approaches, but SPM must be holistic and combine those approaches and offer better planning, forecasting, and control of different stages of sales processes.

Sales 96

Sales Management Forecasting Risk 96

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

MAY 9, 2022

Holistic, multi-dimensional collaboration delivers the highest total value, considering cost, speed, risk, quality, and overall customer experience. It includes order collaboration, forecast, capacity, inventory, quality, and cost collaboration with suppliers. Better risk management and control.

Cost-Benefit 98

Cost-Benefit Forecasting Risk Management Risk 98

IBM Big Data Hub

JUNE 30, 2023

Pair that with a semiconductor shortage amidst global car sales that are forecasted to top 69 million , and you can understand that disruptions in the automotive supply chain would be detrimental to the industry.​ Optimize maintenance inventory, increase reliability, and ensure production schedules are met.

B2B 66

B2B Manufacturing Consulting Forecasting 66

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Businesses must control quality or risk losing customers and market share and exposing the enterprise to legal risk and liability.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52