Salesforce's Paul O'Sullivan explains why striking a balance between regulation and innovation is “crucial” to the AI revolution.
Paul O'Sullivan is SVP, Solutions Engineering and Chief Technology Officer for Salesforce UK & Ireland. O'Sullivan has worked in the technology industry for 25 years, holding a variety of management roles at companies including BlackBerry, Monitise, HSBC and Accenture.
He joined Salesforce in 2022 and currently leads a team of 250 solutions engineers.
“Our number one priority is making our customers successful. As trends change, our products change and continue to evolve to meet customer expectations and keep up with the times,” O'Sullivan told SiliconRepublic.com.
What are the biggest challenges you face in your current IT environment and how are you addressing them?
Every customer I speak with knows they need to make significant investments in AI now to drive growth and strengthen customer relationships. They see AI as a tool to empower their workforce and make them more productive, but they have concerns about privacy, accuracy, and safety as their enterprises transform into an AI world.
At Salesforce, trust is our number one value. It's more than just a phrase — it guides how we run our business and build our products. We integrate ethical guardrails, like the Einstein Trust Layer, into our products to foster responsible innovation and prevent potential problems before they happen.
What do you think about the broader digital transformation in your industry? How is your company addressing it?
CEOs and technology executives across all companies are focused on leveraging AI to improve productivity, efficiency, and drive revenue, but a company's AI strategy depends on the strength of its data strategy, and that data must be trustworthy. But with more data comes more complexity. Companies use over 1,000 applications to run their business, and without the right technology and integration, it can be a huge challenge.
For AI to deliver real results for businesses, they need models based on their own data, but today most companies' data is locked in disconnected applications and silos, not delivering value. The Einstein 1 Platform is based on customers' own data, enabling businesses to unlock incredible new insights and intelligence. And with Data Cloud, we help customers unlock that locked-down data to power AI and their business.
With the right data strategy, clients can not only leverage AI, but truly transform it. Years ago, we applied the Strangler pattern to retire legacy systems. Embarking on this AI revolution creates new opportunities for streamlining.
Sustainability has become a key goal for businesses in recent years. What are your thoughts on how this should be tackled from an IT perspective?
The information and communications technology sector accounts for up to 3.9% of global emissions, and these emissions are expected to grow as organizations become more reliant on software to power their operations and accelerate their digital transformation.
Last year, Salesforce launched Green Code, a new initiative to help reduce carbon emissions associated with the software development lifecycle. Green Code includes newly released sustainability best practices to help technologists, from UX designers and software developers to systems architects and IT operations managers, accelerate the world's journey to net zero.
What are some big technology trends that you see changing the world, and specifically your industry?
AI is positioned as the next revolution that will transform industries around the world. The impact of AI is similar to historical changes, bringing predictive, conversational, generative and autonomous capabilities that are revolutionizing the way various industries work.
This revolution has given rise to new AI-driven business models and a global focus on balancing innovation with compliance and the evolution of digital skills. As AI becomes more widespread, it will be important to balance regulation with innovation, ensuring trust and accountability in AI systems.
The evolving digital skills landscape will require improved AI and data skills, and robust security measures will be essential to combat evolving cyber threats. Going forward, the AI lifecycle will be driven by incremental innovation and will be characterized by explosive growth, market expansion, and eventual maturity, significantly shaping the business landscape.
Embracing change and fostering trust in AI systems will be key to unlocking AI's full potential and shaping a future defined by innovation and progress..
In addition to AI, I believe a variety of emerging and traditional technologies will converge to change the future: connected devices, augmented reality, and new authentication approaches, for example, will combine with AI to enable new customer experiences and interactions.
Find out how emerging technology trends will reshape the future in our new podcast, Future Human: The Series. Listen now. Spotifyupon apple Or wherever you listen to podcasts.
