CPE & Event Calendar

In the ever-evolving world of data analytics and business intelligence, Microsoft Excel continues to be an indispensable tool for professionals across industries. With the introduction of Copilot, Microsoft has integrated the power of artificial intelligence directly into Excel, revolutionizing how users work with data. This 2-hour interactive course, Unlock the Power of AI with Copilot in Excel, provides a comprehensive overview of how Copilot transforms traditional Excel workflows into dynamic, AI-driven processes, enabling users to accomplish tasks faster, more accurately, and with less manual effort. During this course, you'll discover how Copilot leverages AI to enhance productivity and streamline operations. Whether you're a seasoned Excel user or just beginning your journey, this course will guide you through practical applications and best practices to make the most of Copilot's capabilities. Through hands-on demonstrations and real-world examples, you'll see how Copilot can save time, improve decision-making, and elevate your analytical skills to new heights. This course not only focuses on the technical aspects of Copilot but also highlights its potential to transform your day-to-day work, from automating repetitive tasks to uncovering trends and insights you might otherwise overlook. By the end of the session, you'll be equipped with the knowledge and confidence to integrate Copilot into your workflows and unlock its full potential in Microsoft Excel. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.

Artificial Intelligence is no longer a future concept; it is a current necessity. This session provides a practical roadmap for practitioners to leverage AI safely and effectively. We move from a survey of available tools (from free apps to specialized software) to a deep dive into the ethical guardrails required to protect client data and maintain professional standards. Participants will leave with a playbook of real-world use cases that can be implemented immediately.

This session is designed as a primer to introduce artificial intelligence (AI) and to discuss how it will impact accountants as they work. The material will briefly explain what AI is and then focus on ways that it is already serving those in the accounting realm. It will close with a look at future AI-centric developments that will have great potential to positively impact on the accounting profession. Those wishing to gain an understanding of what artificial intelligence is and how it will be used by accountants should consider attending this session.

Here's a more detailed look at the controller's role in AI: 1. Data Integrity and Quality: •    Controllers are responsible for ensuring the quality and integrity of data used to train and inform AI models.  •    They work to establish data governance frameworks, implement data quality initiatives, and ensure data lineage (tracking data from source to downstream systems).  2. Risk Management: •    Controllers assess potential risks associated with AI implementation, including inaccuracies, vulnerabilities, and ethical considerations.  •    They help define and implement risk management frameworks for AI, ensuring that AI systems are used responsibly and ethically.  3. Compliance:  •    Controllers stay informed about relevant regulations and ensure AI systems are compliant with those regulations. •    They monitor AI systems to ensure they are not violating any laws or policies. 4. Transparency and Auditability:  •    Controllers work to ensure that AI decisions are transparent and auditable. •    They establish processes to review AI decisions and identify potential biases or errors. 5. Collaboration and Training:  •    Controllers work with IT and business teams to understand AI's capabilities and limitations. •    They provide training to teams on how to use and manage AI tools effectively. 6. Value Creation: •    Controllers can leverage AI to identify areas for automation, improve efficiency, and gain real-time insights into financial operations.  •    They can use AI to make more informed decisions and create more strategic recommendations for action.  7. Emerging Role: •    The role of the controller is evolving with the rise of AI, with controllers becoming more hands-on throughout the implementation process.  •    They are increasingly seen as catalysts for AI-enabled transformation, helping to identify potential use cases and build confidence in the technology This course will explore many of these topics.

This course provides a concise overview of how artificial intelligence (AI) is reshaping financial oversight in the global manufacturing sector. With factories evolving into digital ecosystems powered by intelligent automation, predictive analytics, and edge computing, the role of accounting and finance professionals is rapidly transforming. Participants will explore how AI technologies intersect with core financial functions-cost accounting, audit, tax compliance, and financial planning-while enabling real-time reporting, fraud detection, and predictive decision-making. Drawing on current global trends and real-world case studies, the course offers actionable insights into integrating AI into financial operations, elevating the strategic role of accounting in manufacturing enterprises. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.

Staying current with today's technology is no longer optional; it is essential. Tech Update 2026 offers accounting professionals a clear, strategic view of the evolving tech landscape, enabling them to cut through the noise and make informed decisions. This forward-looking session is built for practitioners who want to leverage innovation to enhance client service, boost operational efficiency, and remain competitive. Explore the most impactful trends in artificial intelligence, quantum computing, automation, and cloud-based ecosystems. Understand how technologies like Microsoft 365 Copilot, generative AI tools, industry-specific SaaS platforms, and blockchain are reshaping the profession. Learn to identify which solutions align with your firm's goals-and which are just vendor hype.

In today's world, AI hype bombards us from every direction. Every system seems to boast magical AI capabilities, leading to confusion and overwhelming information. This course cuts through the noise to reveal the true, practical applications of AI for your business today. Our goal is to give you real world examples of using AI on a day-to-day basis, with a clear understanding of its particular strengths and limitations.

How should internal auditors and finance team leaders use Agentic AI? What are the dos and do nots? When deployed properly AI is wonderful. Can AI help with SOX testing? We review how to avoid the common mistakes that eliminate the benefits that AI can provide. Join us to learn about those expensive lessons.   Agentic AI (‘Artificial Intelligence’) is rapidly being deployed by leading audit, compliance, and finance teams. While AI agents are not yet replacing all of today’s knowledge workers like auditors, accountants, and IT security professionals, the knowledge workers that effectively use Agentic AI may soon be replacing those knowledge workers who do not use these tools to drive high quality business growth and scale. AI is moving beyond automation to become a true teammate, especially in the governance, risk, and compliance processes. This session will show how supervised AI agents can work alongside accountants, auditors and IT security professionals to enhance efficiency, consistency, and assurance quality.  Of critical importance is training and supervision so that the AI agents accomplish their testing to mee the intended quality standards. Attendees will leave with a practical view of how AI-powered testing can be applied to both internal and external assurance. Be prepared and learn from others.

This course provides a concise overview of Gemini AI, Google's advanced multimodal artificial intelligence model. It explains how Gemini is integrated into different Google products, including Gmail, Docs, Sheets, Slides, and as a stand-alone chatbot. Participants will learn how Gemini enhances productivity by summarizing email threads, suggesting responses, drafting emails, generating formulas, creating tables, and more. By the end of the course, students will have a solid foundation in understanding Gemini AI's role in the evolving landscape of artificial intelligence. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.

As artificial intelligence (AI) becomes deeply integrated into business operations and decision-making, organizations must recognize that effective oversight extends beyond technical safeguards.The governance, risk and control (GRC) responsibilities of AI also carry a cultural dimension requiring alignment with corporate ethical values ethical principles and accountability structures.Cultural governance emphasizes leadership commitment, employee engagement and cross-function ownership of AI practices to ensure trust and transparency.  AI-related risks – ranging from bias and ethical concerns to regulatory compliance, reputational exposure and operational vulnerabilities necessitate robust control frameworks and proactive mitigation strategies.   These include governance structures, policies, risk assessments, transparency measures, and continuous monitoring.  By embedding cultural governance and mitigation responsibilities into enterprise AI initiatives, organizations can responsibly harness innovation while safeguarding stakeholders, protecting reputation and ensuring sustainable long-term value. Note:  This is Part 2 in a two-part series on the risks of AI

Artificial Intelligence (AI) is reshaping industries, decision-making, and everyday life at an unprecedented pace. While its potential for innovation is immense, AI also raises profound ethical challenges around fairness, accountability, transparency, and human rights.  Bias in algorithms, misuse of personal data, opaque decision-making, and the displacement of human judgment underscore the urgent need for ethical frameworks to guide AI development and use.

Discover how artificial intelligence is transforming the accounting profession in this dynamic, intermediate-level CPE session. Microsoft Copilot for Accounting and Financial Professionals explores how AI-powered tools in Microsoft 365-like Excel, Outlook, and Teams-can streamline workflows, enhance data analysis, and improve client service. Learn how to harness Copilot to automate tasks, generate financial insights, and collaborate more effectively, while maintaining compliance and data integrity. Whether you're in public accounting, corporate finance, or advisory services, this course will equip you with practical strategies to integrate Copilot into your daily work and prepare for the future of intelligent accounting.

Should CPAs in public practice use Agentic AI? How? What should I not do? Join us to review how to use AI to assist in Assurance engagements, including testing internal controls.  Agentic AI (‘Artificial Intelligence’) is rapidly being deployed by leading audit, compliance, and finance teams. While AI agents are not yet replacing all of today’s knowledge workers like auditors, accountants, and IT security professionals, the knowledge workers that effectively use Agentic AI may soon be replacing those knowledge workers who do not use these tools to drive high quality business growth and scale. AI is moving beyond automation to become a true teammate, especially in the governance, risk, and compliance processes. This session will show how supervised AI agents can work alongside accountants, auditors and IT security professionals to enhance efficiency, consistency, and assurance quality.  Of critical importance is training and supervision so that the AI agents accomplish their testing to the intended quality standards. Attendees will leave with a practical view of how AI-powered testing can be applied to both internal and external assurance.

This is Part 2 in the Series of Emerging Risks for Accountants and Finance The rapid evolution of technology, globalization, and regulatory frameworks has introduced a range of emerging risks that are transforming the fields of accounting, finance, and auditing. Innovations such as artificial intelligence, blockchain, and big data analytics are redefining traditional business models while creating new challenges related to data integrity, cybersecurity, and ethical decision-making. In accounting and finance, the growing reliance on automated systems raises concerns about vulnerabilities, algorithmic bias, and the potential for misinformation. Auditors face heightened expectations for real-time assurance, transparency, and adaptability to new reporting standards, including sustainability and ESG disclosures. Geopolitical instability, economic volatility, and evolving regulatory pressures add layers of uncertainty to financial reporting and audit quality. This four-part seminar series explores these emerging risks, analyzes their implications for professionals and organizations, and highlights proactive strategies for risk management, continuous learning, and technological competency.  

This is Part 3 of 5 in our Emerging Risk and Resilience Series for Accountants and Finance The rapid evolution of technology, globalization, and regulatory frameworks has introduced a range of emerging risks that are transforming the fields of accounting, finance, and auditing. Innovations such as artificial intelligence, blockchain, and big data analytics are redefining traditional business models while creating new challenges related to data integrity, cybersecurity, and ethical decision-making. In accounting and finance, the growing reliance on automated systems raises concerns about vulnerabilities, algorithmic bias, and the potential for misinformation. Auditors face heightened expectations for real-time assurance, transparency, and adaptability to new reporting standards, including sustainability and ESG disclosures. Geopolitical instability, economic volatility, and evolving regulatory pressures add layers of uncertainty to financial reporting and audit quality. This four-part seminar series explores these emerging risks, analyzes their implications for professionals and organizations, and highlights proactive strategies for risk management, continuous learning, and technological competency.  

This is Part 4 in our 5 part series on Emerging Risk and Resilience - How Accounting and Finance is Leading the Way The rapid evolution of technology, globalization, and regulatory frameworks has introduced a range of emerging risks that are transforming the fields of accounting, finance, and auditing. Innovations such as artificial intelligence, blockchain, and big data analytics are redefining traditional business models while creating new challenges related to data integrity, cybersecurity, and ethical decision-making. In accounting and finance, the growing reliance on automated systems raises concerns about vulnerabilities, algorithmic bias, and the potential for misinformation. Auditors face heightened expectations for real-time assurance, transparency, and adaptability to new reporting standards, including sustainability and ESG disclosures. Geopolitical instability, economic volatility, and evolving regulatory pressures add layers of uncertainty to financial reporting and audit quality. This four-part seminar series explores these emerging risks, analyzes their implications for professionals and organizations, and highlights proactive strategies for risk management, continuous learning, and technological competency.  

This is Part 5 in our series of Emerging Risks and Resilience - How Accountants and Finance are Leading the Way The rapid evolution of technology, globalization, and regulatory frameworks has introduced a range of emerging risks that are transforming the fields of accounting, finance, and auditing. Innovations such as artificial intelligence, blockchain, and big data analytics are redefining traditional business models while creating new challenges related to data integrity, cybersecurity, and ethical decision-making. In accounting and finance, the growing reliance on automated systems raises concerns about vulnerabilities, algorithmic bias, and the potential for misinformation. Auditors face heightened expectations for real-time assurance, transparency, and adaptability to new reporting standards, including sustainability and ESG disclosures. Geopolitical instability, economic volatility, and evolving regulatory pressures add layers of uncertainty to financial reporting and audit quality. This five-part seminar series explores these emerging risks, analyzes their implications for professionals and organizations, and highlights proactive strategies for risk management, continuous learning, and technological competency.  

Accountability professionals are the first line of defense against fraud. Consequently, accountants, internal auditors, external auditors, fraud examiners, and risk management professionals need to develop the skills needed to prevent, detect, and deter fraud and need to be proactive in promoting and effecting organizational change. The fight to deter, prevent, and detect fraud continues. Accountability professionals need all the help they can get. Artificial intelligence (AI) might be able to help in this fight. In fact, AI has the potential to be a fraud-prevention game-changer. When viewed against the backdrop of the COSO/ACFE Fraud Risk Management Guide, the AI applications and potential are near limitless. AI can assist in fraud risk governance by, for example, drafting policies and procedures and maintaining dashboards showing the status of the organization’s fraud risk management programs. The fraud risk assessment might be where the AI light shines brightest. AI can identify an organization’s risk exposures, assess the likelihood and significance of these exposures, identify and assess existing controls, and determine residual risk. Better still, it can do the assessment on a continuous basis, alerting the organization to new threats as they arise.  AI can identify and implement additional overt and covert fraud control activities designed to mitigate residual fraud risk. In terms of information and communication, AI can monitor and triage the hotline reporting system and assist in investigations. Finally, AI can monitor the fraud risk management process on a continuous basis. In addition to a deep dive into AI and fraud risk management, the 2026 Business Fraud Update is another fast-moving seminar that will provide a comprehensive look at the latest developments about fraud from the technical, legal, and operational perspectives and update participants on the most recent legal and regulatory developments in this important area of professional responsibility.  

Artificial Intelligence (AI) is the hottest topic in technology circles today. And for good reason! AI can help all business professionals – including HR professionals – work more efficiently and effectively. AI tools such as ChatGPT, Gemini, and Copilot are proving themselves daily as valuable assets. These tools can help you automate research, draft documents, summarize emails, analyze Excel data, and even create PowerPoint presentations for you. If you haven't yet explored what today's AI tools can do, you'll want to participate in this session to become more productive and efficient with this very practical technology.

AI (‘Artificial Intelligence’) has already reshaped the way we work, offering immense opportunities alongside serious ethical and organizational challenges. How should we use AI responsibly without slowing innovation? Is using AI ethical? Is it right? Is not using AI ethical? The goal is to make better use of the power of AI, in a sustainable and ethical way.