The legacy-to-modern shift

Advanced digital technologies can help here. Thoughtfully applied artificial intelligence (AI), which is a set of technologies that includes natural language processing, machine learning and  Evolutionary AI™,  can predict, prescribe and act on huge volumes of continuously growing and always changing data for rapid forecasting. This can help organizations sense, react and adapt quickly to their environments. To bring this about, many of the companies we work with are shifting from inflexible operating models to more agile and adaptive ones, and transforming their business and IT architectures in parallel.

These businesses are evolving traditional IT foundations made from enterprise applications, on-premise systems and waterfall software development to business platforms built on consumer-grade applications, cloud technologies and Agile/DevOps practices. They’re also shifting their business practices from a physical-first, product-centric, one-to-many customer approach to a digital-first, experience-centric, one-to-one customer model. You might say they’re becoming modern businesses that continually retool the way they work to adapt quickly to shifts in the marketplace.

The real return from embedding digital capabilities within a business comes from optimizing not only its technology foundation but also its business process and operating models.

As a result, clients are disengaging from some of their legacy applications and upgrading their technology stacks at the infrastructure, data and applications layers. They’re migrating their apps and data to the cloud, and improving the agility of their underlying technology. But the real return from embedding digital capabilities within a business comes from optimizing not only its technology foundation but also its business process and operating models.