Data and AI outcomes

$15.7 trillion—that’s the global economic growth that AI will provide by 2030, according to PwC research. There’s no doubt AI can truly transform your business, but with great potential comes great risks. A variety of factors can impact AI risks, changing over time, stakeholders, sectors, use cases, and technology. We at PwC help you harness AI’s potential responsibly, while managing new risks and building trust.

We help you find the right AI opportunities with the highest return on investment (ROI), tied to your business objectives. Test concepts thoroughly for rapid adoption. Deliver innovative solutions at scale. PwC’s AI specialists offer expertise and experience with strategy as well as operationalisation of AI, from natural language processing, machine learning, deep learning, data engineering, automated ML, to generative AI, and more.

Access PwC’s responsible AI toolkit

Organisations aspire to become more data-driven but are unable to translate insights into action and achieve desired outcomes. Building analytics and artificial intelligence (AI) capabilities requires overcoming structural, organisational and behavioural barriers that are common across industries:

We recognise these challenges and help data leaders “cross the chasm” between investment and return on investment. Resources tend to be deployed in silos in analytics tools or platforms, data governance, reporting, data literacy and empowerment for business users, and basic change management. To drive tangible outcomes from analytics, data initiatives need to be coordinated and synchronised across various domains.

Our analytics enablement service creates synergies between various initiatives mentioned above, to help your organisation quickly build trust in your data, so that you can proactively meet your business goals.

Data can generate more than indirect benefits to become a material revenue stream. Unlocking its value to generate top line revenues requires a new mindset as well as new ways of working, besides having a clear data strategy to ensure that the data is trusted.

While it’s easy to be fixated on the outcome, data leaders need to be conscious of the fact that there are various foundational elements which make this possible in a sustainable way. Starting from considerations for data privacy and security, identifying and setting up the right business model for monetisation, to having adequate measures on access controls and governance.

We help you get your data monetisation right the first time, while keeping the interests of all the multiple stakeholders in mind.

Insights automation helps your organisation to scale the process of generation, distribution and access to actionable insights, thus accelerating the journey to becoming a data-driven organisation.

This is a multi-disciplinary endeavour, and encompasses skills across areas like data storytelling, visualisation best practices, dashboarding, automation, and user experience, to name a few. We help you identify, assess, strategise and execute different approaches to achieve insights automation.