Multi-industry forces are a current reality
Pressure on margins and intense competition are challenging the standard strategy of differentiating through features and devices.
Platform proliferation and convergence service opportunities into the industry.
Changing market expectations and financial dynamics demand new value creation decisions, many
relating to introducing ecosystems and partnerships.
AI and virtualization are promising but complex technologies, with data and software increasing their impact.
Building on enterprise assets continues to add value and economic growth.
However, the adoption of AI requires training and organizational discipline.
The rapid and continuing adoption of IoT contributes wave upon wave of fast-moving data.
This chaotic convergence of “things” at the edge needs to communicate, learn and resolve conflicts amongst itself.
Existing tech was not created to support such expansive volumes
and velocity. The result? Infrastructure fragility.
Innovation and convergence blur lines across ecosystems, compounding this challenge.
At the same time, AI can mask technology’s complexities.
This makes technology more accessible but makes differentiation more challenging.
The digital divide is expressing itself in new ways.
AI and technology biases are coupled with digital privilege, creating a growing gap between empowered consumers and those left behind.
This is true in the workforce as well, with departing workers taking their knowledge with them. Organizations need new approaches to talent acquisition.
©2018 IBM Corporation