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Building Tax Planning into Enterprise Risk Management Strategies

Jet Global

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.

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How Scenario Planning for Tax Forecasts Should Work in 2021

Jet Global

Learn how to enable complex planning and forecasting processes. In this webinar, attendees responded to a poll asking which areas of long-term forecasts are of most interest to them. Understand how to reduce tax errors and improve productivity. Discover our top tips for achieving tax agility in 2020. Cash tax payments: 13%.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

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.

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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

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.

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Discovery : A key requirement for enabling AIOps

CIO Business Intelligence

It’s a significant project to lay this groundwork, so it carries a fair amount of risk. There’s a lot more weather data available that a professional meteorologist (especially one armed with software designed for analyzing weather data) could use to make detailed forecasts for anywhere from an hour to five days out.

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AI in Supply Chain — A Trillion Dollar Opportunity

DataRobot Blog

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.

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3 AI Trends from the Big Data & AI Toronto Conference

DataRobot Blog

The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail. Request a Demo. Accelerating Value-Realization with Industry Specific Use Cases.