Technology leaders’ agenda
To strategically transform, chief information officers (CIOs) and tech leaders need to deliver tech at speed, innovate at scale and put humans at the center.
How to unlock business visibility for real-time insights
In this webcast, panelists discuss leading technologies and practices to seamlessly unify data and make better business decisions faster.
The pressure is on technology leaders – chief information officers (CIOs), chief technology officers (CTOs) and chief data officers – to strategically enable their organizations’ ambitions and quickly bring their transformation visions to life. Successful leaders already know data is the currency of the digital age. They are now bringing a data-centric approach to every decision, innovation and experience. They’re investing in next-generation analytics and AI to unlock more of data’s value for all stakeholders. Here are six actions to focus on:
IT budgets are under considerable pressure: there is so much potential for new technology to explore, particularly in cloud applications, but limited or even shrinking funds to pay for it. Modernising and automating IT, addressing technology debt, re-imagining the operating model, increasing resiliency and improving security are critical for a company to position itself for a more technology and data-intensive business environment. Leading companies are making the case to modernise IT while also investing in building a digital foundation to drive long-term growth.
Almost half of all companies say meeting changing customer demands is driving their digital transformation. Giving customers visibility into your organisation, supply chain and product quality, and delivery builds trust to meet customer expectations. Technology leaders need to partner even more with the business to power new customer-centric strategies and experiences with technology.
Trusted data and AI are a fast track to gaining value-driving and monetising insights. “The future is about embedding AI in core processes. That way, companies get smarter by the second,” says Beatriz Sanz Sáiz, EY’s Global Consulting Data and Analytics Leader. Focus on where problems and opportunities lie – customer experience, product innovation and personalisation, supply chain and operations, pricing – and integrating AI into associated processes and business needs.
Scaling AI across an enterprise’s operations will require data platforms where data is trusted, consistent, secured and ready to use in real-time — an evolution toward modern “Business Data Fabric architectures.”
Ecosystems play a critical role in accelerating transformation and maximizing value. When aligned to an organization’s specific needs, they allow access to a wide portfolio of technology tools and relevant talent to support transformation. Choose the right ecosystem business model to reduce risk and improve the value of interactions with participants.
“Organisations that are not laser-focused on humans at the center and solving the skills gap problem face serious competitive risks for productivity, innovation and growth,” says Liz Fealy, EY Global PAS Solutions and PAS Workforce Consulting Leader. Technology leaders need the visibility to understand current and future skills gaps and develop “build, buy and borrow” talent interventions accordingly. Recruit scarce skillsets or bring them in from the ecosystem, future-proofing leaders and teams by upskilling them with digital, adaptive and agile capabilities, and reskilling from a technical and functional perspective to deliver against business objectives.
New technologies introduce new demands on security, in addition to those of existing infrastructure. Deploying in a cloud environment raises new concerns of business interruption and valuable data protection. If customers and business partners don’t trust your technology, they simply won’t use it. Maintain resiliency and visibility with your stakeholders by adopting a risk-optimisation mindset across your technology portfolio.