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Amid the growing excitement surrounding generative artificial intelligence (AI) and other emerging technologies, CFOs in asset management and banking remain keenly focused on the impact that these tools can have on their clients. AI is enabling asset management firms to provide investors with valuable insights from extensive datasets, assisting them in selecting the most profitable strategies. Similarly, technology is aiding banks in serving their customers more effectively and efficiently, fostering long-term relationships.

For board members and non-executive directors, generative AI stands as a pivotal innovation that offers unprecedented opportunities to drive business value, improve productivity, reach broader audiences, streamline operations, and help address complicated global issues. However, it also raises complex business and ethical questions. To gain the full trust of stakeholders and customers, AI systems need to be designed with governance, risk, legal, and ethical frameworks in mind.

New cybersecurity guidance for artificial intelligence (AI) systems was issued jointly by the U.S. Cybersecurity and Infrastructure Security Agency, the FBI, the National Security Agency’s Artificial Intelligence Security Center, and cybersecurity agencies of Australia, New Zealand, the U.K., and Canada. The Guidelines, Deploying AI Systems Securely: Best Practices for Deploying Secure and Resilient AI Systems, are particularly notable because they focus on best practices for organizations that deploy AI developed by a third party rather than targeting developers of AI systems.

While the artificial intelligence (AI) transformation is a part of the larger digital change, it’s taking on a life of its own. Even if a company can adapt to the change, it doesn’t mean it’s ready for AI. There are many more considerations, and it requires a different approach where the audit committee plays a crucial role that will bring valuable oversight and guidance to this technological evolution through their understanding of risk and assurance.

The future of IT is changing and adapting to a cloud and artificial intelligence-enabled world that includes the exponential shift from on-premises to IT consumed as a service (XaaS) and accelerating data centricity. To face these challenges and drive successful digital competitive advantages, IT leaders and teams will need to master the six key priorities. Moving forward, the future of IT will show how IT can enable digital organization by informing technology investments, using artificial intelligence and automation, and harnessing the power of data.

Dive into Artificial Intelligence (AI) governance with Grant Thornton’s concise video series that are designed for board members and senior executives. The four short videos summarize insights on the challenges and opportunities of AI board governance. From understanding the need for “AI circuit breakers” to tracking risks and accountability, and finally embracing AI as a manageable challenge, this series addresses some of the key issues for staying on top of AI in your business.

The evolution of cybersecurity threats is increasing at a rapid pace and becoming more sophisticated as they leverage the same advanced technologies and methodologies as cyber defense tools. No longer are cyberattacks focused primarily on financial incentives, they are also aiming at maximizing operational disruption.