Introduction to AI innovation

Being on the bleeding edge isn't about building a research team that's using the best and the most new models. It's about training your existing teams to use AI in a way that keeps them in the front of their fields. According to Gartner's 2022 AI Adoption Survey, the number of organizations implementing AI grew a whooping 270% in the last four years. AI is going mainstream across regions and industries, and it's only projected to grow. Virtually every company today needs to have an AI strategy to stay competitive. AI can optimize internal processes, create new business models and revenue streams, reshape your customer experiences, and develop innovative products and services. Companies that fail to harness AI's capabilities will quickly fall behind. Adopting AI has major benefits, but also risks if not done thoroughly. Intuit, maker of TurboTax and QuickBooks, initially dismissed machine learning for detecting fraudulent tax returns back in 2015. Fraud was costing them millions annually. Within a year of ignoring AI, they suffered major losses. Fortunately, Intuit quickly changed course. They assembled an AI team and developed a machine learning system to identify suspicious returns. This AI solution cut their fraud losses in half within months. Intuit's recovery highlights that it's never too late to adopt AI, even after some initial failures. As a leader, it's your responsibility to guide your team's AI journey ethically and efficiently. This course provides the strategic mindset and tactical advice you need to spearhead AI innovation in your organization. This comprehensive curriculum is designed for mid to senior-level professionals in various roles: Entrepreneurs, start-up founders, managers, executives, technical leaders, and more. Whether you lead a small team or a multinational company, you will find immense value in this course. From the short-term strategy perspective, we will cover everything from hiring and forming strategic partnerships to establishing ethical guidelines to navigate AI development responsibly. For long-term strategies, we'll cover things like investing in AI research and infrastructure and fostering a culture of data-driven decision-making. My goal is that by the end of the course, you'll feel equipped and energized to drive AI excellence in your organization, and you'll develop long-term strategic thinking to build a sustainable culture and process for AI innovation. AI has immense potential, but only if stewarded well by wise leaders like yourself.