2024 was a year of significant tech advancements, but also a year of notable setbacks. From the widespread disruption caused by the CrowdStrike security update to the challenges faced by Tesla’s autonomous driving ambitions, these incidents underscore innovation’s inherent risks and complexities.

• The CrowdStrike debacle is a stark reminder of the critical importance of robust testing and quality assurance in software development.

• Google AI’s missteps highlighted the ethical considerations and potential biases that can arise when AI systems are trained on vast amounts of online data.

• The underwhelming reception of devices like the Humane Pin and Rabbit R1 underscored the importance of market validation and user experience in bringing innovative technologies to market.

• Intel’s processor woes and Tesla’s autonomous driving challenges serve as reminders that even industry leaders face setbacks and the need for continuous innovation and adaptation.

These events offer valuable lessons for the tech industry, emphasizing the need for a focus on user safety, data privacy, ethical considerations, and rigorous testing throughout the entire development lifecycle. They also underscore the critical importance of prioritizing user safety and data privacy throughout the entire development lifecycle in terms of user safety, data privacy, ethical considerations, testing, and transparency, and communications.

Who this course is for:

• Beginners seeking to understand some of the practical basics in risk and risk management in technology in fintech, banking, or finance.
• Current staff who may need a refresher regarding the dangers lurking in untested/unapproved ideas.