AI Goes Mainstream
In 2019, machine learning
and AI are no longer the sole domain of the Big Four multinational tech
companies (Google, Amazon, Facebook, and Apple – GAFA) and major tech
organisations. We’ve already seen chatbots flourish as the tools to build them
have become available to the Average Joe. Now, we’re seeing the same happening
with more advanced AI analytics as DevOps embraces end-to-end automation. The
more complex, labour-intensive tasks associated with AI are now being packaged
into simple, easy-to-deploy applications, and accessibility is opening up in a
big way.
This means that anyone with
enough development knowledge can theoretically build their own mini-Watson, not
just major enterprises with full data science teams at their disposal.
Start-ups, entrepreneurs, small businesses and NGOs alike will be able to
leverage existing tools to create their own AI-driven platforms and ecosystems.
According to Gartner,
citizen data scientists are expected to grow at five times the rate of their
professional counterparts.
African organisations and entrepreneurs in particular stand to benefit as they can more easily access strong data analytics that would’ve been unthinkable a few years ago. On the flipside, the competitive landscape is about to get a lot hotter as sophisticated AI becomes not just a nice-to-have but a key competitive differentiator. Organisations are going to need to take a serious look at their business intelligence capabilities going into 2019 and see whether they can keep up in a market where AI is everywhere.
The Digital Identity Question Takes Centre Stage
With the meeting of the
digital and physical worlds, having a fully formed digital identity is
increasingly important in being able to access real-world services. From banking
to travel to hospitals, industries are embracing the use of biometrics, digital
onboarding, and connected devices to serve consumers. Anyone who lacks a
digital footprint stands to be left out.
Shifting to a digital
identity model isn’t easy, not when identity fraud, spoofed information, and
even deepfakes are everywhere. It’s never been more important to have the tools
and processes in place to be able to distinguish real from fake. The other
defining question around digital identities is how you integrate an
individual’s online and offline behaviours to form a unified picture of who
they are. Expect to see a major focus in 2019 on data protection technologies
as organisations struggle with how to deliver more relevant experiences to
their customers, without exposing themselves to risk.
Identity inclusion stands to be the next great frontier in digitising society, especially in the developing world where the standard identity markers – ID numbers, addresses, utility bills, sources of income – don’t always work. Thankfully, Africa has a head start in looking beyond traditional ways of verifying digital identities to drive service delivery. Using AI to establish digital identities as well as alternative data models, will be key drivers in mapping digital identities and creating more secure access to products and services.
Click here to read predictions about how companies may clean up their data acts and rediscover their purposes.
Time To Clean Up Your Data Act
Over the past few years,
we’ve seen increased awareness among consumers around their personal data and
what it is used for. Even major players that previously seemed untouchable are
not immune to scrutiny of their data and security policies. Cambridge Analytica
has continued to haunt Facebook, and more companies have faced significant
public backlash following breaches or exposure of poor data practices. The
public has less tolerance for bad data practices every year.
The implementation of
various consumer protection policies around the world – GDPR and PoPIA in
particular – put organisations even under greater pressure to secure and
utilise personal data ethically. With great power doesn’t just come great
responsibility but also a greater chance of legal and financial consequences if
you don’t follow through.
Data protection technologies and services should thrive as a result, but we’ll also see companies wrestling with just how to implement analytics and make use of personal data without falling foul of privacy laws. Thankfully, even as AI poses a challenge, it also provides a potential solution – already, we are seeing sophisticated automated compliance solutions powered by machine learning and natural language processing.
Rediscovering Purpose in a Changing World
Lately, we’ve seen a
societal shift towards not only more ethical consumption of products and
services, but also trying to live a more purposeful life. Faced with more
choices and information than they’ve ever had access to, consumers are striving
to make more meaningful choices whether it’s who they work for, what they spend
their time doing, or how they spend their money.
Similarly, organisations
are wrestling with their own purpose in a world with nearly unlimited data and
powerful technology. How do you make the right choices to grow and deliver
meaningful outcomes to shareholders, consumers and society at large?
As the hype dies down on
disruptive technologies and they become an accepted part of our everyday lives,
2019 provides an opportunity to seriously consider how they can be used
purposefully. If every choice we make is capable of being enhanced with data,
and every object a potential source of rich insights, then the limits on what
we can and can’t do to create better businesses and societies fall away. Expect
the concept of ‘information for good’ to reach into even the most unexpected
places as we explore what it means to exist in the midst of the fourth
industrial revolution.
I’ll be expanding on each
of these trends in the months to come, providing use cases and practical advice
on how to navigate each of them. In the meantime, I’d love to hear your
thoughts. What trends do you think will have the biggest impact on your
industry? What predictions would you add to the list above?
Pages: 1 2
