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Kevin Ferguson
Brand & Data Storyteller / Digital Marketer / Video Editor / Videographer
Kevin Ferguson is a dedicated brand and data storyteller with a strong background in journalism, video editing, and digital marketing, blending creativity with analytics to help companies communicate their data effectively and drive actionable insights.
In his 10-year tenure as a Digital Marketing professional, Kevin has supported Fortune 500 companies in Search Engine Marketing and Web Analytics, demonstrating a deep understanding of marketing strategies and data analysis.
With 5 years of experience in creating and optimizing YouTube videos, Kevin excels in leveraging keywords and metadata to increase video views and foster a community of subscribers.
Kevin's expertise also extends to product positioning, brand messaging, and a profound comprehension of YouTube analytics and video TrueView ads.
As a veteran journalist with over a decade of experience, Kevin brings storytelling to the forefront, combining his journalistic prowess with his mentoring capabilities to guide entrepreneurs and business professionals in crafting compelling narratives.
Besides his journalistic achievements, Kevin is a respected presentation coach and has served as the Past President of Toastmasters at Stanford GSB, showcasing his dedication to cultivating effective communication skills.
In his role as the Founder of KF Brand Studio, Kevin blends his skills in storytelling, video editing, and digital marketing to offer a comprehensive approach to brand communication and data-driven storytelling.
To connect with Kevin Ferguson and explore the power of storytelling in brand marketing, feel free to engage with him on LinkedIn or reach out via phone at (650)703-0883.
Highlights
Buying and implementing AI that isn’t built with a responsible framework can come with serious costs.
The wrong AI partnership can lead to financial and reputational damage from lawsuits, technical debt, and weakened competitive advantage.
Here are 3 questions you should ask to assess responsibility and trustworthiness, suggested by Amanda Lawson of Responsible AI Institute.
1️⃣ Does your business integrate AI risk management, ethics, and/or responsibility in its protocols?
🥇 In Amanda’s blog post, she expands on what the Responsible AI Institutes’ gold standard of an answer. In short, a top notch answer would mention values like human oversight, transparency, equity, accountability and privacy. It would also include AI policy updates to reflect modern standards.
2️⃣ How do you uphold responsibility in AI systems across their lifecycle, underscoring human oversight, transparency, and reliability?
🥇 A gold standard answer would include human-in-the-loop protocols for key decisions and regular bias audits. It would also include explicit roles with an emphasis on ethics and continuous AI accuracy monitoring, among other things.
3️⃣ How is the AI documentation handover managed to ensure responsible AI system use by the client?
🥇 Solid answers would include detailed client onboarding addressing AI system nuances, updated documentation with clear version tracking and role-based training modules.
P.S. Repost this ♻️ for your network.
#Responsibleai #generativeai #AI
