Digital transformation: Advanced technologies

The entry of institutional players, increasing demand for alternative assets such as cryptocurrencies, NFT and other tokens, regulatory clarity and enforcement and the mainstreaming of the crypto ecosystem have all contributed to the rise in digital assets. These new forms of asset ownership and monetary exchange, driven by technology, are advancing as quickly as new providers are emerging. But, given the complexity of crypto-assets and the general lack of understanding about the ecosystem and lack of skilled resources, organizations must be able to understand and manage the risks.

PwC can help you navigate the digital asset ecosystem and the evolving regulatory landscape, while maintaining and building trust in your internal controls environment via SOC reporting.

Organizations are using AI and machine learning to help increase the speed and efficiency of decision-making in a range of use cases. A few examples include using machine learning in security incident log reviews or providing recommendations to resolve reconciliations or compliance violations. But AI technologies must be managed properly to avoid unintended bias, and to be able to explain the rationale behind the ultimate outcome. These are significant risk factors that could impact company obligations under ever-evolving regulatory requirements.

PwC can provide assurance over the application of AI and machine learning, bridging the confidence gap and enabling consumers and regulators to determine the trustworthiness of AI machine learning algorithms.