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Mastering ChatGPT: Creativity and ChatGPT

In Part 4 of this five-part blog post series, you will gain valuable insights into the differences between human creativity and AI and how they impact creative writing. Our guest for this exploration, Larry Roberts, has extensive experience exploring AI’s capabilities and limitations in writing. Through his story, we can relate to his journey of using AI tools like ChatGPT to analyze blog posts and generate entire children’s books.

Roberts is a specialist in AI and its impact on creative processes. His deep understanding of Chat GPT and other AI tools has been instrumental in driving the application of AI in content creation. Armed with abundant experience, Larry has been involved in projects where AI tools like Chat GPT are used to write entire books, showcasing the artistic capabilities of AI. He brings a unique perspective, drawn from his intriguing interactions with AI tools and experience in helping to bring individuality to AI-generated content. Mostly known for his thoughtful insights on creativity and AI, Larry continues to explore the intersection of human and artificial creativity.

 Using Chat GPT as a Writing Assistant

A fascinating use of AI applications in the modern world is as writing assistants. Tools such as OpenAI’s ChatGPT are not only helping writers with content creation, but they are also helping simplify complex topics and augment the writing process. This AI tool incorporates advanced learning models that can generate creative text by prompt engineering or brief user instructions. Using AI to assist in writing, authors and content creators can boost their productivity, simplify complex ideas, and take their creativity to new levels. Roberts shares his first-hand experience with ChatGPT as a writing assistant. He mentions a project where they used this text generator to analyze over 200 blog posts and consolidate the data to write a book. The result was not only time-saving but also a valuable learning experience that illuminated the potential of AI in content creation.

 Implications for Creatives

As AI tools, such as ChatGPT, advance their creative abilities, it raises questions and implications for the creative industry. Content creators and artists must keep up with these innovations to maintain relevance and adaptability. The Turing Test, a measure of an AI’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human, is often used in these discussions. This test can reflect the advancements of AI and its implications, such as the increasing difficulty of differentiating between AI-generated and human-generated content. Roberts brings up the Turing test and its relevance to the discussion about ChatGPT and creativity. He proposes an experiment to gauge if people can differentiate between AI-generated and human-generated content, pointing out that some AI tools can already create awe-inspiring images. This underscores the evolving landscape for creatives and the resulting implications as AI advances.

Chat GPT’s Creative Writing Abilities

AI tools, including ChatGPT, are increasingly proving their worth in creative writing. These applications offer users an exceptional means to generate novel content instantly, which provides endless possibilities for numerous creative outputs. The fact that ChatGPT can provide different perspectives from a simple user prompt underpins its potential in creative writing. This versatility can lead to unexpected and fresh narrative directions, opening many creative possibilities for authors and content creators. Roberts offers an engaging example of ChatGPT’s creative writing abilities. Larry gave ChatGPT a simple prompt about his wife interacting with squirrels in their backyard. Instantaneously, ChatGPT generated an entire children’s book where the narrative centered on divorced squirrels co-parenting their babies – a clear testament to the tool’s potential in content creation.

In summary, by gaining insights into the differences between human creativity and AI, writers and content creators can enhance their writing skills and produce content that truly resonates with their audience. Recognizing the strengths and weaknesses of AI in creative writing allows us to leverage its efficiency and accuracy while preserving our ability to infuse emotions, intuition, and intellect into our work. This balance is crucial in creating meaningful and impactful content that connects with readers more deeply. Join us tomorrow, where we conclude our series by looking at the current business uses of ChatGPT.

For more information on Larry Roberts, check out Red Hat Media.

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Compliance and AI

Mastering ChatGPT: Part 3 – Revolutionizing Education and Compliance Training

Welcome to a special five part podcast series on mastering ChatGPT. My special guest throughout this journey is Larry Roberts, an accomplished professional with over 25 years of multifaceted experience. Having initiated his career in the corporate training sphere, he exhibited a remarkable shift to IT, contributing greatly as a Business Intelligence Analyst. His proficiency lies in harnessing predictive analytics for inventory and sales projections, which led him to tap into the realm of AI. In 2021, Larry chose to cozy up with podcasting and content creation. His tryst with ChatGPT began in November the same year and he has been fully engrossed with it since then. His insights into data models, large language models, and his overall passion for AI are certain to illuminate any forum. In this Episode 3, we look how ChatGPT can transform education and what this will mean for compliance training.

As we confront the digital age, educators, teachers and even communicators can no longer afford to be left behind. The rise of AI in education, epitomized by tools like ChatGPT, opens new frontiers in delivering accessible, affordable, and advanced learning experiences. However, this isn’t without complexities. There are pertinent steps to be taken – setting clear expectations, aligning AI with institutional policies, maximizing the collaborative capabilities of AI, and ensuring human oversight in AI implementation. By so doing, we can create an enriching learning environment that contributes positively to personal and professional development. In this episode, we explore these issues and others in considering how this will impact compliance training and communications.

In this episode, you will be able to:

·      Unlock key strategies to optimize your use of ChatGPT.

·      Acknowledge the importance of crafting a suitable persona and forming the right stage for elevated outcomes.

·      Unravel the issues corporate compliance functions may encounter while using ChatGPT, shedding ample light on effective solutions.

·      Learn how one can effectively utilize ChatGPT in making speeches and presentations.

·      Prognosticate the prospective impacts of ChatGPT and AI on the future compliance training landscape.

Key Highlights        

·      Setting Expectations

·      Limitations for Corporations

·      Leveraging Chat GPT for training

·      The Human Element and AI

Resources

Larry Roberts

Larry Roberts on LinkedIn

Red Hat Media        

Tom Fox

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LinkedIn

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Blog

Mastering ChatGPT: Revolutionizing Education and Compliance Training

In Part 3 of this special five-part blog series, we delve into the potential impact of ChatGPT and AI on education and compliance training. Educators and compliance professionals, this is a must-read for you! As always, I am joined in this exploration by Larry Roberts, whose extensive experience and insights will shed light on how AI-powered tools like ChatGPT can revolutionize education by improving accessibility and affordability. But that’s not all. Roberts’s story as someone who uses ChatGPT for content creation and training courses will make you feel like you are on the same journey. We will consider the challenges corporations face in aligning the AI model with their policies and procedures and how to overcome them. This article will provide valuable answers if you have grappled with how AI can enhance compliance training while ensuring ethical considerations and human control. Get ready to unlock the potential of ChatGPT and AI in education!

Roberts is a prominent figure in the AI industry and an avid educator, continuously exploring and implementing advanced technologies such as ChatGPT. With a background in IT and a deep understanding of how programming and software development work, Larry’s expertise shines through when discussing technical complexities. He is noted for his aptitude in leveraging ChatGPT as an educational tool, maximizing the application’s potential by adapting its conversational models to the user’s needs. Larry, also an effective communicator, can simplify complex concepts for individuals at different stages of the learning process.

 Leveraging ChatGPT

Embracing technology, especially artificial intelligence, holds transformative potential for the educational sector. With proper incorporation, AI models such as ChatGPT can massively streamline the content creation process, facilitating e-learning and enhancing the students’ overall learning experience. Artificial intelligence can be a comprehensive tutor, reducing the burden on human educators and making learning more interactive. With a deep training background, Larry Roberts testified to using ChatGPT for crafting speeches and expressed his vision regarding its possible utilization in fabricating in-house training materials. He believes these AI tools, provided with appropriate guidelines, can eliminate the need for subject matter experts and enable anyone to access and learn new topics in depth.

 Limitations

The idea of an AI model aligned with company-compliance policies and procedures certainly seems appealing, but it is more complex than it might appear. While AI models such as ChatGPT possess a vast range of knowledge, they lack access to proprietary information or internal methodologies of organizations. Recognizing this, organizations should know that models like ChatGPT can provide training based on best practices rather than the company’s unique operation. While ChatGPT can offer a comprehensive understanding of various compliance-related topics, inherent limitations exist due to the need for more access to company-specific processes or principles. This can be overcome but also highlights the need for a tangible human interface to orient and incorporate ChatGPT within corporate compliance specifics suitably.

 Human Element and AI

Even with the rise of AI-powered tools, the human element remains irreplaceable. It is still the humans who design, program, and oversee AI models, and it is paramount that this construction remains so. While AI models continually evolve, they can’t substitute human decision-making, ethics, and judgment abilities. The balance AI models provide with human intervention helps maintain ethical standards and prevent any untoward overstepping of bounds. This essentiality of human oversight cannot be overstated. Their common contention was that AI tools like ChatGPT are potent tools that can revolutionize various sectors. However, they will always require human guidance to navigate ethical considerations and control their capabilities. They cautioned that AI surpassing human control should be approached with wariness. They believe the relationship should be more of a collaboration where humans and AI effectively work together while avoiding over-dependence on technology.

Let us remember that we have the power to shape the future of compliance training. By harnessing the potential of ChatGPT and AI, we can create an inclusive and accessible education system that empowers corporate stakeholders to reach their full potential. The possibilities are endless, and with commitment, dedication, and an open mind, we can revolutionize compliance training and enable stakeholders from all corporate relationships to access advanced knowledge and skills like never before. Together, let’s embrace the power of AI in education and create a brighter future for all learners. Join us tomorrow when we consider how ChatGPT will transform education and compliance training.

For more information on Larry Roberts, check out Red Hat Media.

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Compliance Into the Weeds

Compliance into the Weeds: Compliance into the Weeds Takes a Eurotrip with Compliance Man

The award winning, Compliance into the Weeds is the only weekly podcast which takes a deep dive into a compliance related topic, literally going into the weeds to more fully explore a subject. Looking for some hard-hitting insights on sanctions compliance? Look no further than Compliance into the Weeds!

In this episode, co-hosts Tom Fox and Matt Kelly are joined by Compliance Man himself Tim Khasanov-Batirov. We consider how the Airbus scandal has highlighted the importance of compliance and ethics in corporate conduct in France, and the need for reliable data in ESG reporting, artificial intelligence, and third party risk management. We also discuss the challenges faced by American and European compliance professionals, and the need for Diversity, Equity and Inclusion (DEI) in creating a strong speak up culture. They discussed the EU Whistleblower Directive, which states that anonymous reports should be allowed, and the importance of clean conduct in government agencies. Compliance practitioners have an important role to play in this process, and the EU is leading the world’s discussions around ESG reporting.

Key Highlights 

·      ESG Reporting Requirements

·      AI and DEI in Compliance

·      European Compliance Challenges

·      European Compliance vs US

·      AI and Compliance in France

Resources

Matt 

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Tom 

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Tim

LinkedIn

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Compliance and AI

Mastering ChatGPT: Part 2 – ChatGPT and Ethical AI

Welcome to a special five-part podcast series on mastering ChatGPT. My special guest throughout this journey is Larry Roberts, an accomplished professional with over 25 years of multifaceted experience. Having initiated his career in the corporate training sphere, he exhibited a remarkable shift to IT, contributing greatly as a Business Intelligence Analyst. His proficiency lies in harnessing predictive analytics for inventory and sales projections, which led him to tap into the realm of AI. In 2021, Larry chose to cozy up with podcasting and content creation. His tryst with ChatGPT began in November of the same year, and he has been fully engrossed with it since then. His insights into data models, large language models, and his overall passion for AI are certain to illuminate any forum.

In this Episode 2, we look at the ethical considerations of AI models such as ChatGPT.

In the age of AI, the ethical consequences of this transformative technology present pressing concerns for developers and industry professionals alike. In this episode 2, Tom and Larry shed light on the myriad ethical issues surrounding AI, from securing data privacy and GDPR compliance to mitigating the misuse of AI tools and addressing job displacement. There is a wealth of information and best practices to guide your ethical approach to AI, ensuring transparency, user control, and adaptability in a rapidly evolving landscape. Embark on this journey with us to ensure that the power of AI is harnessed responsibly, respecting every stakeholder’s rights and privacy.

In this episode, you will be able to:

  • Discover the crucial ethical questions surrounding AI and ChatGPT.
  • Uncover hidden truths about data privacy concerns and your control options.
  • Explore the significant role of GDPR and the collective effort required for privacy.
  • Understand how to combat the misuse of AI instruments through user collaboration.
  • Learn about AI ethics and why transparency, bias evaluation, and human supervision are paramount.

Key Highlights:    

  • Data Privacy
  • AI and Disinformation
  • Human in the Loop

Resources:

Larry Roberts

Larry Roberts on LinkedIn

Red Hat Media

Tom Fox

Instagram

Facebook

YouTube

Twitter

LinkedIn

Categories
Blog

Mastering ChatGPT: Ethical Challenges of ChatGPT

In this Part 2 of a five-part blog post series, I am considering the revolution wrought by ChatGPT. Today we consider how and, more importantly, why AI developers and industry professionals need to garner insights into the ethical considerations surrounding AI and ChatGPT. With the guidance of AI expert and founder of Red Hat Media, Larry Roberts, we will delve into the complexities of AI ethics, including data privacy, misinformation, bias, and job displacement. Roberts’s extensive field knowledge and experience make him a relatable source for understanding the challenges and best practices in implementing ethical AI solutions. By addressing these ethical concerns head-on, this article will equip you with the necessary tools and knowledge to navigate the ethical landscape of AI development, ensuring responsible and informed decision-making. Say goodbye to uncertainties and us as we demystify AI ethics, paving the way for a more ethically sound AI industry.

Human in the Loop

Human in the Loop (HITL) is an interaction model involving a human operator in AI decision-making. Due to their unpredictability, HITL scenarios often occur when definitive responses are difficult for AI systems to generate without human intervention. HITL emphasizes that human input and collaboration are critical in AI development, as an AI alone may only partially account for unforeseen situations.  Larry Roberts discusses the ‘Human in the Loop’ approach extensively. He highlights examples where human intervention was necessary to prevent unforeseen outcomes, implying the indispensability of human involvement in AI usage and development. Larry reiterates that even with advances in AI technology, human input remains vital to ensure quality results and prevent unexpected consequences.

AI Ethics and Best Practices

AI ethics is the study of the ethical issues related to the development and application of AI. It includes accountability, privacy, intellectual property, discrimination, bias, and job displacement. Fostering a deeper understanding and implementation of AI ethics ensures that advancements in AI technology are a force for good, benefiting humanity as a whole.  Referencing the episode, Larry Roberts provides an in-depth discussion on AI ethics. He emphasizes that understanding the perspectives of AI developers is paramount to accurate assessment and mitigation of bias. Recognizing the issues surrounding job displacement due to AI implementation, Larry suggests the potential of AI to create new opportunities, underlining the necessity of monitoring and adapting to the evolving AI landscape.

Securing Data Privacy and GDPR Compliance

The digital revolution has brought to the fore the importance of securing data privacy and tick-marking all requirements of the General Data Protection Regulation (GDPR) across industries. The speed and sky-rocketing impact of artificial intelligence (AI) technologies necessitate special attention to these aspects. As data forms the lifeblood of AI systems, ensuring the secure handling of this data keeps prominence. Equally significant is the adherence to GDPR policies, which is a step beyond data privacy, focusing on EU citizens’ fundamental rights. Non-compliance can lead to severe penalties. Addressing these requirements is more than just about legal and ethical obligations; it’s about building trust with the end users, enhancing business reputation, and ensuring that privacy concerns or non-compliance issues do not hold back AI’s fantastic potential.

Mitigating the Misuse of AI Tools

As we consider the suitability of AI technologies for various tasks, it’s crucial to discuss the potential for misuse. With the pervasiveness of AI in our digital landscape, there’s an increasing risk of these technologies being exploited. One of the leading concerns revolves around ethical use, mainly because AI technologies like chatbots can process vast amounts of data, some of which can be sensitive or private. Consequently, the misuse of AI tools could result in a breach of privacy and security, making it significantly vital to establish preventative measures.

As we strive to achieve an increased understanding of AI ethics and best practices for implementation, let us remember that great power comes with great responsibility. By staying informed, remaining vigilant, and consistently reassessing our practices, we can pave the way for a future where AI serves as a force for good. Join us tomorrow when we consider how ChatGPT will transform compliance training.

For more information on Larry Roberts, check out Red Hat Media.

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Blog

Mastering ChatGPT: Introduction to ChatGPT

In this blog post series, a companion to the five part podcast series on Compliance and AI of the same name, I explore how the compliance professional and business executive can think through ChatGPT as a business tool. In this Part 1 of a 5-part blog post series, you learn how  to harness the power of ChatGPT while addressing potential pain points in AI implementation, including ethical considerations and achieving a balance between human creativity and AI assistance. My special guest in this is Larry Roberts, founder and CEO of Red Hat Media.

Roberts is a distinctive voice in the IT and AI sphere, he boasts an extensive 25-year corporate career during which he has made significant contributions in training and business intelligence. His strength lies in his data analysis skills, which he honed using predictive analytics early in his career. In 2021,  shifted his focus from the corporate sector to content creation and podcasting, which eventually led him to explore the potential of ChatGPT. Roberts’ experience combined with his relentless endeavor to understand and unfold the mystique around data models and large language models sets him apart as a thought leader in the AI domain.

Chat GPT Architecture

 Chat GPT is a sophisticated language model that relies on a massive body of text for its training. Behaviour patterns learned allow it to interact conversationally and assist with text-oriented tasks. Its impressive capabilities are derived from extensive linguistic data and customized tuning aligns with specific purposes such as education, creativity, and collaboration. An intriguing aspect worth noting is its reliance on human interaction and feedback. The process of predicting responses by choosing the next logical word in a sequence relies heavily on conversational input from users, leading to improved model accuracy over time.  Roberts noted that Chat GPT’s architecture is fascinating, particularly its learning mechanism dependent on human interactions. The extensive training facilitates improved accuracy in recognizing patterns to predict the most plausible next word in a sequence. Roberts emphasis was on the versatility of Chat GPT’s structure being suitable for various purposes like education or creativity, underscoring its invaluable contribution to different fields.

Chat GPT and Education

Embracing an era shaped by artificial intelligence and advanced technologies, developers, enthusiasts and even novices have access to powerful tools like ChatGPT. This tool, emerging from a sophisticated language model, embodies the capacity to turn raw data into an interactive dialogue that can vary in purpose from education to creativity. For those navigating the realm of education, exploring the potential applications of ChatGPT could prove illuminating.   Roberts illustrated how this model assimilates knowledge and enhances its capabilities through continuous interaction and feedback. The substantial applications it presents within the educational landscape become apparent when considering its skillset

ChatGPT and Research

Contextualizing the utilization of ChatGPT for academic research, we anchor at the core functionality of this AI model. It is an interactive conversational model that generates text, simulates human-like conversation, or fulfills a task based on the information fed to it. Built on a large language model, it amasses extensive textual data, harnessing vast amounts of information from different sources which become part of its knowledge repository. This endows the model with a significant ability to understand and generate productive responses, forming the backbone of its application in the educational research domain.

 The Future of AI Development

 Looking ahead, AI technology advancements hint at a future with multimodal capabilities. Anticipated features like being able to upload images and query specific aspects will add another dimension to AI interaction. Discussing the future also means considering the ethical implications of rapidly advancing technology, a key consideration being how it contributes to Artificial General Intelligence (AGI).  Roberts touched upon the topic of AI’s future by acknowledging its evolving capabilities. He specifically mentioned GPT-4’s understanding of images as a significant forward stride. However, he urged all to be mindful of the ethical implications involved in AI advancement. His emphasis rested on assessing the benefit-risk ratio, particularly concerning the drive towards AGI.

In this blog, we delved into the various aspects of ChatGPT, examining its strengths and limitations. By gaining a closer look at ChatGPT, we have acquired the knowledge and understanding necessary to harness its potential effectively. Armed with this information, we can now navigate the complexities of AI development with greater confidence and expertise. Join us tomorrow where we consider ethical implications of ChatGPT.

For more information on Larry Roberts, check out Red Hat Media.

Categories
Compliance and AI

Mastering ChatGPT: Part 1 – From AI Language Models to ChatGPT

Welcome to a special five part podcast series on mastering ChatGPT. My special guest throughout this journey is Larry Roberts, an accomplished professional with over 25 years of multifaceted experience. Having initiated his career in the corporate training sphere, he exhibited a remarkable shift to IT, contributing greatly as a Business Intelligence Analyst. His proficiency lies in harnessing predictive analytics for inventory and sales projections, which led him to tap into the realm of AI. In 2021, Larry chose to cozy up with podcasting and content creation. His tryst with ChatGPT began in November the same year and he has been fully engrossed with it since then. His insights into data models, large language models, and his overall passion for AI are certain to illuminate any forum. In this Episode 1, we look at AI language models up to ChatGPT.

In the era of digital transformation, educational practices are undergoing significant changes, not least due to tools like ChatGPT. This AI model has the potential to revolutionize research and knowledge acquisition, making these processes more efficient and engaging. For AI enthusiasts and developers, grasping the practical application of ChatGPT in education could provide a fresh perspective on AI integration, fostering growth in their personal and professional endeavors. Harnessing the power of ChatGPT is more than just an exploration of technological advancements—it is a step towards reshaping the future of education.

In this episode, you will be able to:

·      Explore the fascinating world of Artificial Intelligence advancements and their far-reaching consequences.

·      Ascertain the transformative role of open-source AI applications and APIs in the tech universe.

·      Appreciate the synergy between collaboration and innovation in catalyzing AI development.

·      Grasp the ethical concerns enveloping AI usage and the corrective measures needed.

·      Unearth the exciting future prospects of AI featuring Chat GPT, Ethical AI, and their conscientious application.

Key Highlights

·      Chat GPT Architecture

·      Text Generation

·      Chat GPT as a Writing Assistant

·      Chat GPT in Education and Communication

·      Future of Chat GPT

·      The Future of AI Development

Resources

Larry Roberts

Larry Roberts on LinkedIn

Red Hat Media        

Tom Fox

Instagram

Facebook

YouTube

Twitter

LinkedIn

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Daily Compliance News

Daily Compliance News: June 27, 2023 – The Wells Notices Edition

Welcome to the Daily Compliance News. Each day, Tom Fox, the Voice of Compliance brings to you compliance-related stories to start your day. Sit back, enjoy a cup of morning coffee, and listen in to the Daily Compliance News. All, from the Compliance Podcast Network. Each day we consider four stories from the business world, compliance, ethics, risk management, leadership, or general interest for the compliance professional.

  • Solar Winds execs receive Wells Notice. (Reuters)
  • Corruption hindering PdVSA. (InSight Crime)
  • Inhouse lawyers grapple with ESG demands. (FT)
  • SEC wants more information from small banks. (WSJ)
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Data Driven Compliance

Data Driven Compliance: Vincent Walden – Analyzing the Philips FCPA Enforcement Action Using AI

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs.

Data Driven Compliance is back with another exciting episode featuring the insightful Vince Walden from KonaAI. In this episode, Walden and host Tom Fox discuss how data analytics can help uncover potential FCPA enforcement actions, using the Philips case as an example. They delve into the benefits of internal controls and the segregation of duties to prevent bribery and corruption. Walden goes on to examine the customer 360 model, which focuses on analyzing customer orders to pinpoint risky transactions and potential improper payments. Additionally, they explore Kona AI’s platform, which utilizes advanced algorithms to pick up problems and highlight high-risk transactions.

The podcast also features a discussion on the use of artificial intelligence and how machine learning can help compliance professionals identify anomalies that require investigation. You won’t want to miss the exciting upcoming episode where Walden showcases real-world examples of how companies can use machine learning in 2023.  Tune in to Data Driven Compliance and stay ahead of the curve in the compliance world!

Key Highlights

·      Data analytics for FCPA compliance detection

·      Kona AI’s Customer Analytics and Risk Assessment

·      Improper Vendor Payments Tracking

·      The importance of second level reviews in internal control

·      Analytics and Investigating Fraud Potential

·      Improving Precision in Machine Learning Models

KEY QUOTES

“Just those basic type of analytics could have been easily spotted these issues.”

“These are the types of things that when you could just sort, you would be able to find those high risk transactions.”

“Nowadays the technology is there to spot these types of activities when compliance has access to the data.”

“Let’s see if this event took place. And he just did a simple Google search on the Internet couldn’t find the event.”

Resources:

Vince Walden on LinkedIn 

KonaAI

 Tom Fox 

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