A perfect storm of technology is brewing.
Cloud services are enabling highly intelligent machines, and the artificial intelligence of those machines is enabling a deep understanding of everything around us. Perhaps more importantly, that understanding is extending the ability to use intelligence to provide experiences.
We are starting to see the emergence of personal digital assistants that can automate basic tasks and help manage our day. Siri, Google Now, Alexa and Cortana are now brands in their own right and have an ever-increasing range of capabilities to help improve our day. Alongside personal digital assistants, the ability to converse with deep artificial intelligence, integrated with business workflows, is emerging. These conversational BOTS enable more efficient processes while removing the need for human intervention.
The second logical, consumer-led phase that we have entered is that of the API — integrating systems together to allow intelligent workflows that take into account our activities, location and environment.
Smart devices are entering our homes and workplaces and are designed to enable interaction. You can now increase the temperature of your home when you get within 10 minutes of the house. And in the enterprise, you can now, for example, integrate building entry systems to create your virtual desktop session when you enter the building, meaning that by the time you get to a desk you needn’t wait for boot or login scripts to complete. Aside from nice productivity aids, APIs are opening data from various public and enterprise systems, allowing that data to coalesce and provide a new value chain.
That value chain is enabled by the third element of enhancement: analytics. Our professional and personal knowledge systems contain a wealth of information, such as the work we perform, our personal value, the value of the products and services we develop, our itineraries and importantly our networks. Analytics linked to smart machines bring new capabilities, often referred to as machine learning or artificial intelligence. Machine learning is allowing systems to deeply understand our activities, identify information and provide relevant support to make us more efficient and productive.
These three elements are enabling a contextual experience. Enterprises can’t afford to let competitors take advantage of improved productivity through contextual experiences while they continue to use legacy technology and operating models.
Over a series of blog posts we will examine the elements of a contextual experience and provide guidance on how to commence your contextual journey.
Stu Downes is a solution lead within the CSC MyWorkStyle offering group. Stu’s role working with product management, industry analysts, key clients and partners gives him a unique view of market trends and client needs. Since joining CSC in 1999 Stu has had a number of roles delivering, designing and leading solutions and products. Stu is now shaping workplace products that enable the hyper productive digital workplace.