Digital convergence accelerates digital flow, improves digital fluency and bridges digital divides
Digitalization is paradoxical, on one side, it is
over-complex to create many new divides and uncertainties; on the other side,
digital means convergence, connectivity and collaboration. Here are three
technological components of digital convergences.
Convergence
of Enterprise IT & Consumerization of IT: We are entering the
new age-the convergence of enterprise IT and consumerization of IT, Digital
customers and employees expect applications to be as intuitive and
task-oriented. It’s that consumers and employees are using the same technology
devices for similar activities. It represents a merging of corporate and
consumer capabilities within the organization. It blurs the line between professional
life and personal life, it also transforms the monolithic enterprise IT
infrastructure into mosaic digital backbone, and catalyze the new business
culture. People can work anytime, anywhere, to access any necessary information
to create any innovative idea now with partners outside organization, sustainable
innovation means product and service need be improved via continuous
conversation and open loop feedback from customers and partners. This digital convergence
of devices and services are creating new business models and revenue source as most
companies across industries are being forced to become technology companies and run information business.
Analytics Convergence:
The convergence of machine learning, artificial intelligence, analytics and
business intelligence, statistics & decision science will make direct impact
on building an intelligent business. Talent, particularly those in a position
where they need a dramatic change to the status quo in enterprise computing,
are seeking to exploit the value found in convergence technologies -- advanced
analytics, with much more efficient returns, easier to use for entire knowledge
workforce, and on any device anytime anywhere. A holistic view on enterprise
data has become a core asset for every organization. The convergence of transactional
and analytical processes leads through the revolution of in-memory technologies
across all computing platforms. The convergent analytics intends to solve such
puzzles -Where is the wisdom we have lost in knowledge? Where is the
knowledge we have lost in information? Where is the information we have
lost in data?. Analytics helps understand the business, information, and
process landscape to consolidate data and generate insight across the
enterprise. With this in place, the BI tools of tomorrow will need to integrate
with all systems, applications, and data sources, Innovation in new-generation BI tools will
shift towards scenario planning, data discovery, predictive analytics, data
integration, connectivity, collaboration, visualization, user interfaces, and
interactive capabilities.
Process Convergence:
It is important to achieve digital operational excellence via the convergence
of unstructured processes and structured processes: The convergence of
unstructured text messages with structured process entities will help
create user-friendly process management applications handling structured and
unstructured processes in a similar manner. Social interactions usually contain
messages in a plain text form. Therefore all social interactions containing
plain text messages as significant process entities (not just comments, but
activities, human tasks, events, assignments etc.) are unstructured. Adding
social interactions in the business processes will make them unstructured and
unpredictable. The social BPM should handle such hybrid processes effectively.
Digital convergence accelerates digital flow, improves
digital fluency and bridges digital divides, it’s all about how to improve
digital maturity.
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