Federal, state, and local government grant programs support a wide range of critical services, ranging from economic development to disaster recovery to health and human services. Legacy grants management processes can be cumbersome and even subject to waste, fraud, and abuse. This is where technology can help, by simplifying and streamlining processes while strengthening internal controls and providing accurate, real-time visibility for stake...

In our evolving digital age, prioritizing digital experiences has become one of the most important and efficient ways to increase engagement. Through innovative and reliable programs, Adobe has been assisting in these efforts by offering solutions that increase efficiency and deliver memorable experiences to citizens, all while protecting confidential data and information within the public sector.Join us for just one or both webinars in our Ad...

Does your bank have the right level of maturity for your Cybersecurity Risk Management activities compared to the inherent risk levels? The FFIEC Cybersecurity Assessment Tool (CAT) is a diagnostic testing tool that helps internal auditors identify a bank's level of inherent risk and determine the maturity level of their cybersecurity programs. This training course looks at the way cybersecurity inherent risks can vary significantly based on t...

4, ba Cybersecurity is one of the biggest internal control areas that need executive attention. You just received an urgent call from the CEO. An e-mail was received demanding $10M Bitcoin to be paid as ransom to unencrypt the company's data. ​"Oh no! Maybe if we audited the organization's Cybersecurity program and controls before this happened, we might not be in this mess!" ​Sound familiar? Hundreds of Security, Compliance and Au...

4, ba So, you've accepted a new position as an Internal Auditor; congratulations, and welcome to our world! Internal Auditors provide an extremely important and unique function: to independently assess controls to balance risk that may impede the objectives of an organization. We are the "last line of defense" in organizations to report risk events. Please join us for this valuable in-person, interactive training and allow our expert instructo...

4, ba Forensic accounting is a specialty practice area where accounting, auditing and investigative skills are used to analyze and present information that is suitable for use in a court of law. Topics covered include fraud detection and fraud investigation techniques, valuation of closely held businesses, lost profits analyses, and various types of litigation support services. Fundamental legal concepts governing expert witness testimony are...

The CPMAI methodology is the industry’s best practice methodology for successful AI & ML projects. Cognilytica’s CPMAI training and certification prepares you to succeed with your AI & ML efforts, whether you’re just beginning or are well down the road with implementation. In this course, trainees will learn the following: Fundamentals of AI and ML Terminology and concepts The Seven Patterns of AI AI Project Managemen...

The Advanced Process Management: From Automation to Intelligence course provides fundamental understanding of automation systems and increasing levels of intelligence with step by step practical guidance. This course provides a detailed overview of Robotic Process Automation (RPA) and process automation systems, including evolution of Business Process Management (BPM) and Business Process Integration (BPI), moving to higher levels of intellige...

The Practical & Comprehensive Ethical & Responsible AI Framework Development Training & Certification provides a comprehensive deep dive into the components of ethical & responsible AI frameworks and provides a guided, step by step approach for crafting an implementable Ethical and responsible AI framework. This course dives deep into a comprehensive ethical AI framework, which standardizes ethical frameworks from over 60 organ...

Developing AI and machine learning models is just the first step to keeping AI and ML systems performing and providing their needed value to the organization. In addition, organizations are realizing the need to manage models produced by other parts of their organization of third-parties. The developing area of Machine Learning Operations (ML Ops) and additional aspects of machine learning lifecycle management has emerged to address these need...