James R Odrowski

Digital Business Ecosystem Patterns James R Odrowski

These are both exciting and challenging times for today's business leaders. Advances in information technology (IT) have enabled new business capabilities that are stretching the limits of our imaginations. Robots, artificial intelligence (AI), drones and autonomous cars are part of our common vocabulary. The latest technologies, including the Internet of Things (IoT), blockchain, and machine learning are expected to transform many industries. Anticipated business outcomes include new revenue streams, reduced operating costs and more intimate customer relationships. The possibilities are endless, but for many organizations their digital business transformation is inhibited by: -Too much focus on technology and not enough on the business problem being solved. -High complexity of coordinating diverse technologies with multiple layers and integration points.-Weak foundations to build upon, including outdated legacy technologies and lack of skills. As the pace of innovation speeds up, new strategies are needed to succeed in the next big wave of business and technology change. This book identifies a fundamental change in how business systems are developed - describing an ecosystems approach for digital business solutions. It addresses the gap between the promise of new technology and its practical application.-It helps CEOs, CIO/CTOs, and Enterprise Architects develop a strategy for digital business leveraging today's advanced technologies like IoT, blockchain, and AI / machine learning.-It identifies how traditional organizations can leverage their current IT investments and partner with innovative start-ups to fill capability gaps.-It provides IT governance and security professionals with practical guidance for managing the risks of digital business. This book provides a catalog of digital business ecosystem patterns that address 10 common business problems faced by asset-intensive organizations including: asset tracking, asset maintenance, performance monitoring, usage metering, automated inspections, dynamic marketplaces, alternative payment mechanisms, and the use of autonomous vehicles. The patterns are also applicable to delivering large-scale ecosystem solutions for smart city, smart farm, advanced health care, and modern factory initiatives.