All organizations grapple with project management challenges, often stemming from disconnected people, data, and applications. Project managers frequently expend significant time gathering and analyzing data to derive relevant insights, while team members struggle with constant status updates and executives lack timely visibility into key initiatives.

To overcome these hurdles, forward-thinking organizations are embracing a collaboration-first approach to enhance project outcomes and value realization. This approach empowers stakeholders with actionable information, shifting the focus from mere status updates to identifying the most effective path forward.

In this deep dive, collaboration workshop, the speakers and attendees will discuss and work through the below matters:

• Transformative strategies for enhancing project management and achieving superior outcomes
• Leveraging AI and automation tools to modernize project and portfolio management, maximizing existing investments
• Utilizing diverse tools to manage projects and foster collaboration across teams, applications, and data, thereby minimizing workflow gaps
• Discover how to revolutionize your project management practices for enhanced efficiency and success

IA Maturity Level: Early Adoption & Implementation

Lines of Business Functional Focus: Operations, Technology & Business-Wide

AI and generative AI ethics and responsibility are of paramount importance in today's rapidly evolving digital-first world. As these technologies become increasingly integrated into various aspects of society and organizations, ensuring ethical conduct and responsible deployment is essential to mitigate potential harms, safeguard individual rights, and promote equitable outcomes for all stakeholders. Failure to address ethical considerations could lead to unintended consequences, including algorithmic biases, privacy breaches, and erosion of public trust. Therefore, prioritizing AI ethics and responsibility is imperative to foster a future where technology serves the greater good while upholding fundamental ethical principles.

In this session, topics of discussion will include, yet will not be limited to:

• AI and generative AI’s impact on workforces and employment dynamics
• Ethical complexities of generative AI's potential to fabricate convincing yet fabricated realities, aka - hallucinations
• Ethical challenges that arise from biased AI algorithms and strategies for fostering algorithmic fairness in decision-making processes
• Ethics surrounding the use of AI and generative AI in healthcare, finance, entertainment, the arts, financial and insurance claims handling, education, and other industries and functional areas that are at risk if the technologies aren’t utilized responsibly

IA Maturity Level: All & Various

Lines of Business Functional Focus: Business-Wide