Category: Bookkeeping

What is Inventory Reserve, Defined and How to Use in Accounting

With careful planning and execution, you can make sure that your company is always prepared for whatever challenges come its way. Remember that there are many factors that can impact your inventory reserves, such as changes in market demand or supplier reliability. Therefore, it’s important to stay vigilant and adjust your reserves accordingly. Secondly, maintaining…
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New NYC Property Tax Rates for Fiscal Year 2024 25

When you have construction done on your property, its assessed value increases based on your tax class and the increase in market value assigned by DOF. For class 2 properties with more than 10 residential units, and all class 4 properties, changes to the assessed value are phased in over five years. That means that DOF…
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Mastering Pro Forma Financial Information: A Complete Guide

Projections are not just about numbers; they’re the narrative of your business’s future. In strategic planning, they help you to map out financial expectations and guide where to allocate resources effectively. For investments, they paint a picture of the potential return and growth, helping to attract funding. Pro forma financials provide a crucial foresight enabling…
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Public vs Private Accounting: What They Are & Key Differences Bay Atlantic University Washington, D.C.

With experience, most public accountants eventually become managers /directors within large firms, while others become independent consultants sharing valuable advice with small & medium business owners. Her copy and content writing experience prior to this role includes education, non-profit, technology, building products, and other industries. She enjoys synthesizing concepts into a digestible, informative, and valuable…
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understanding deferred revenue vs accrued expense 9

Accrued vs Deferred Revenue: Key Differences Explained In that case, you’d adjust it monthly to move a portion (1/6th each month) from deferred revenue to earned revenue. Imagine you’re a software company selling a one-year subscription and receiving full payment upfront. Deferred income seems counterintuitive at first—after all, your business has received the cash, but…
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How to calculate cash flow: 7 cash flow formulas, calculations, and examples

Cash flow statements display the beginning and ending cash balances over a specific time period and points out where the changes came from (i.e operating activities, investing activities, and financing activities). Depreciation itself is a non-cash expense, meaning no cash is actually paid out when depreciation is recorded in the income statement. When analyzing the…
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Understanding the Nonprofit Balance Sheet: A Comprehensive Guide to Statement of Financial Position

They are intended for specific purposes, such as funding a particular program or project. It is important for non-profit organizations to have clear policies and procedures in The Key Benefits of Accounting Services for Nonprofit Organizations place for managing temporarily restricted net assets. This includes documenting donor restrictions, tracking the use of funds, and reporting…
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Sales Returns and Allowances Account Type

This division of responsibility reduces the risk of any single person manipulating the system. Regularly comparing your refund records with bank statements and other supporting documentation helps catch discrepancies early on. Automated accounting systems can significantly improve accuracy and efficiency. These systems can generate journal entry for sales returns and allowances refund reports, track refund…
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How to Invoice as a Freelancer: Key Components and Template

The following highlights the advantages of using invoicing tools and software and discusses top options for your freelance business. By leveraging invoicing software and tools, you can automate various aspects of the invoicing process, save time, and enhance your productivity. Final invoices are necessary for completed projects or those with a duration invoice for freelance…
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Invoice Processing, Simplified: Why Outsourcing Boosts Accounts Payable Workflows Connext

Team leaders and managers from outsourcing companies ensure that their distributed workforce and team are hitting those KPIs and deadlines. When and if you ever decide to outsource invoicing services, you will notice a sudden spike in productivity. Companies that provide outsourcing services often have a high standard when it comes to virtual accountant producing…
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REVIEWS AND ACCLAIM

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. ..

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

DIMENSIONS OF TRUST IN AI

Trustworthy AI results from how people, processes and technologies function together across multiple dimensions of trust. Not every dimension is pertinent for every organization or cognitive tool.These dimensions are explored in depth in Trustworthy AI, by Beena Ammanath.

  • Fair and Impartial
  • Robust and Reliable
  • AI Privacy
  • Safe and Secure
  • Transparent and Explainable AI
  • Accountable and Responsible
Trustworthy AI results from how people, processes and technologies function together across multiple dimensions of trust. Not every dimension is pertinent for every organization or cognitive tool. Rather, the dimensions of trust are lenses for interrogating AI design, function, and outcomes. With regular activities, decisions and documentation across the AI lifecycle, weighing and addressing the dimensions of trust is what permits effective AI governance and unleashes AI’s greatest potential value. These dimensions are explored in depth in Trustworthy AI, by Beena Ammanath.
  • Fair and Impartial
  • Robust and Reliable
  • AI Privacy
  • Safe and Secure
  • Transparent and Explainable AI
  • Accountable and Responsible

AUTHOR BEENA AMMANATH

Beena Ammanath is a global thought leader in AI ethics and an award-winning senior technology executive with extensive global experience in AI and digital transformation. Her work has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is the Executive Director of the Global Deloitte AI Institute…

Beena Ammanath is a global thought leader in AI ethics and an award-winning senior technology executive with extensive global experience in AI and digital transformation. Her work has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is the Executive Director of the Global Deloitte AI Institute and leads Trustworthy AI and Ethical Technology at Deloitte. Prior to joining Deloitte, Beena served as the CTO for AI at Hewlett Packard Enterprise, where she created a new practice area focused on AI and emerging technologies. Before this, she was the head of Data Science and Innovation at General Electric, working across all GE businesses, including aviation, transportation, healthcare, power, energy and renewables, and oil and gas…

THE NEED FOR TRUSTWORTHY AI

There has arguably never been a more exciting time in AI. Alongside the arrival of so much promise and potential, however, more attention is due to the ethics and trustworthiness of this powerful technology. It is a question of not just what can be done with AI but how it should be done – or whether it should be done at all. Because AI has been developed to this level of maturity, we must now grapple with some of the more complex ethical considerations concerning AI.

What does it mean for AI use to be ethical? How do we know if we can trust the AI tools we use?

The trajectory of AI can be conceived along three streams: research, application, and trust and ethics. Research concerns data science…

ESSENTIAL READING FOR EXECUTIVES

Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy – even for human workers…

Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy – even for human workers.

Trustworthy AI offers readers a pragmatic and direct approach to ethics and trust in artificial intelligence. The book presents a straightforward and structured way to think about AI ethics and offers practical guidelines for organizations developing or using AI solutions.

エグゼクティブ必読

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断するのは、人間の労働者にとっても必ずしも簡単ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断するのは、人間の労働者にとっても必ずしも簡単ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。