Lead in the age of generative AI
In the last 30 years, no technology has promised to change everything across a business—until generative AI. Today, AI is the number one driver of business reinvention. And data readiness is one of the most important factors for AI success.
Data and AI now
97%
of executives said generative AI will transform their company and industry
67%
of organizations plan to increase spending in technology and are prioritizing investments in data and AI
7 in 10
organizations have specific training programs planned for 2023 to ensure workers are prepared to use generative AI tools
56%
of respondents acknowledge data readiness is the top challenge to adopt AI
Reinvent with data and AI
Ready your data for the generative AI era
The right investments in data will multiply AI value. Build a modern data foundation, ready your data for consumption and update data operations to achieve speed, scale and reinvention.
47%
of CXOs say data readiness is the top challenge to applying generative AI.
Speed, scale and access
Improve time to market and speed to value with trusted and timely data.
Better experiences
Power better customer experiences—from contact center to citizen service—with a modern data foundation.
Faster growth and innovation
Differentiate with data to accelerate AI initiatives, generate new insights and improve products, services and operations.
Change how work is done and achieve tangible business value
Using generative AI, securely and responsibly, can transform your business—unleashing a new wave of human creativity and productivity while delivering significant competitive advantage.
98%
of global executives agree AI foundation models will play an important role in their organizations’ strategies in the next three to five years.
Efficiency and growth
Pursue two investment types in parallel: table stakes use cases that drive radical efficiency, and strategic bets that will reinvent your business.
Lead in your industry
Those with the biggest plans to apply generative AI are projected to consistently outperform their peers over the next three years.
Close the gap between responsible AI intention and execution
To get value from AI, you need to trust it. Take intentional steps to operationalize responsible AI enterprise-wide, to create value, build trust and protect your company from risk.
2%
of companies say they have fully implemented responsible AI across their organization, but 31% expect to do so in the next 18 months.
Accelerate value
AI systems that are compliant and regulation-ready will help attract new customers, retain existing ones, and build brand and investor confidence.
Increase trust
Prioritizing human wellbeing and equity on your AI journey generates customer trust and investor confidence, as well as employee commitment.
Reduce risk
Enterprise-wide governance and regulatory readiness will help you avoid legal and compliance risks while ensuring the security of your data and AI.
Retain talent
Demonstrating a commitment to ethical practices will help attract and retain top talent who are motivated by a sense of purpose and shared values.
Find your focus areas for value realization
Companies must embrace generative AI as a continuous reinvention strategy, assessing their whole value chain to understand where they can apply generative AI to deliver the highest ROI.
97%
of organizations expect gen AI to be transformative but only 31% have invested significantly.
A clear path to value
An executable roadmap for AI implementation that allows you to move your business forward and respond to change simultaneously.
Change-ready culture
A corporate culture that views continuous reinvention as a core competency, not just as a strategy.
Create your AI-ready workforce with continuous learning
Gen AI’s promise is powered by putting people at the heart of reinvention. Organizations will need to prepare workers, reshape their workforce and reinvent work for the gen AI era.
94%
of workers say they want to learn new skills to work with generative AI, but only 5% of organizations provide gen AI training at scale.
Accelerate reinvention
Reinvent at greater speed and scale by prioritizing people alongside data and technology—working to close any trust and transparency gaps.
Unlock peoples’ potential
Empower workers to become more productive, creative and multifaceted with tailored learning pathways and tech that’s human-by-design.
