Artificial intelligence (AI) is all over the news. OpenAI, Google, AWS, and other generative AI (gen AI) providers are releasing new models on a weekly basis. New enterprise use cases and success stories are popping up left, right, and center. And as AI enters adolescence, rules are being laid out to control and
govern its use. Should we dive in head first, or should we take a more cautious approach? How can we generate value for the business and your customers while maintaining control over AI?
LESSONS FROM THE AI MANIFESTO
In our AI Manifesto, we have already laid out guiding principles to cut through the AI hype and help you
drive real and responsible business impact. AI without action is just a science experiment, so it’s key
to practice by building AI into key business processes and customer interactions – always with business
outcomes in mind to get you closer to self-optimizing business: the autonomous enterprise. Which doesn’t mean that AI is only useful in fully automated processes. It can also be used in an augmented
intelligence context, where it’s supporting an agent, case worker, sales rep, other employee, or
ultimately, partners and customers. Lastly, “right-brain” or generative AI is capturing everyone’s imagination. For many of us, it marked the first time we could engage directly with AI and explore its potential firsthand. But as consumers, AI has been all around us for more than 25 years – and at least
80 years if we include research labs. Every day when we Google something, listen to AI-generated playlists, or plan a route, we are using AI. Typically, this is “left-brain” AI at work – the AI that
interprets data, predicts the future, and makes optimal and rational automated decisions.
WHAT DO DECISION MAKERS
THINK ABOUT AI?
Principles and practical advice are not enough to understand and predict where enterprise AI might go. For that, it is crucial to understand the perceptions, expectations, emotions, and concerns of business decision makers. That’s why we’re eager to present the results of our AI research study – conducted by Savanta in collaboration with Pega’s AI Lab – which surveyed more than 500 business decision makers at large enterprises worldwide on their understanding and use of AI, as well as the challenges and opportunities they see in successfully implementing the technology. For more on the technical scope and methodology of the study, see the appendix. So buckle up for a data-rich ride through expectations about where AI is going, investments, and return on AI. You’ll discover everything there is to know about your peers’ depth of understanding of capabilities and their level of trust in AI, as well as find out what the future demand is for AI skills. We hope you will enjoy it as much as we did, and that it will inspire you to put AI into action.