It is time for Africa to Arise and Shine. Technological innovations in a form of digital and clear policy direction will propel Africa to leapfrog and be ahead. New technologies have opened up new vista for human enterprise, giving us comparative advantage. This is a collaboration platform to spark and embrace new ideas. Twitter @AfricaLead Facebook @AfricaLead with VeronicaMotloutsi
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Vision Matters; Digital transformative vision matters even more
Where there is no vision people perish, that is a verse
from the bible. Kotter in his paper, why
transformation efforts fails, he identified key steps required to make your
transformation journey as success. One
of them is to create a vision – the better people can envision where they are
going, the more they can focus on specific initiatives that will make that
vision a reality.
Successful digital transformation starts at the top of
the company. Only the senior-most
executives can create a compelling vision of the future and communicate it
throughout the organisation. Then the
people in middle and lower levels can make a vision a reality. The real benefits of transformation come from
seeing potential synergies across silos and then creating conditions through
which everyone can unlock that value.
Only senior executives are positioned to drive this kind of boundary-spanning
One is big question is where should you focus your
digital vision? Digital vision usually
takes one of three perspectives:
Combining the above
two approaches to reenvision business models.
Many customers start by reenvisioning the way they interact
with customers. They want to be smarter
in how they sell and serve customers.
Other companies envision how they can be smarter in serving their
customers through analytics. Some
companies are extending their visions beyond influencing customer experience to
actually changing customers’ lives.
Companies whose fortunes are tied closely tied to the performance
of their core operations and supply chains (such as mines) often start with
reenvisioning their operations. The
business drivers of operational visions include efficiency and the need to
integrate disparate operations. The
operational vision of some companies goes beyond an internal perspective to
consider how the company might change operation in its industry. Again analytics and big data play a big role.
Some executives combine ideas around operational
processes and the customer experience to envision new business model
What is important to note is that there is no single best
way to express a vision for digital transformation. It’s not a formulaic process. You need to craft a vision that builds on
your strength, engage employees and can evolve over time. You will need to identify the benefits you
want, and what the end point look like, and how you will engage your customers,
employees and investors.
Extract from Leading Digital: turning technology into
business transformation by Westerman et al.
IoT consist of a complex ecosystem and will be delivered
through partnership and collaboration – African perspective.
When it comes to adopting
technologies, Africa is often a unique market for obvious reasons i.e. lack of
infrastructure and diverse economies. Our uniqueness can make Africa an
implementation frontier. However Africa’s
regional diversity requires different approaches to implementing IoT Solution. The localisation of global use cases will be
key to implementation in sectors like agriculture. Health care and logistics.
Firstly lets us unpack IoT
The discussions around IoT
continue to dominate in all government and business platforms. The prospect of a myriad of interconnected
devices inspires both hope and fear. For
business, IoT promises to deliver operational efficiencies and enabling faster
decision making. Business leaders are also
tackling the fears around skills and loss of jobs. In the midst of that, many people still
regard IoT as one technology solution.…
The future of
cloud computing and machine learning: Solution for Africa Cloud computing
has come a long way over the last several years. Innovation is increasing at
rates never experienced before and will continue to do so. Cloud computing
started as a way to abstract physical infrastructure and data centers. The next
generation of cloud computing is focusing on abstracting virtual infrastructure
and the operational processes that go along with managing that infrastructure. Through
cloud computing, complex technologies like machine learning will be made
simple, so data scientists can focus on the data, and developers can enable the
data scientists without having to become experts at the underlying machine
learning technologies. Most tech
companies have been blazing the path for big data for almost two decades.Now they are shifting the conversation from
big data analytics to deep learning.I
believe that machine learning is the next layer of programming.It entails the process of data inge…