By Tammy Wood, Director of
Global Technical SEO at Automation Anywhere
Artificial intelligence is an exciting tool
for today's businesses, offering many new opportunities including contact centre automation. It's also seen
widespread uptake in the likes of Siri, Alexa, and other consumer-level
technologies.
Unsurprisingly, AI is a key part of today's biggest businesses, such
as Google and NVIDIA, and its use is only going to become widespread. If you're
thinking of using AI in your own organization, now is a perfect time. This
article will explain what AI is capable of, and how to use AI most effectively.
1.
Understand AI's Potential
Artificial intelligence is a useful yet
complex area of technology. The first step to using it in your business is
having a clear idea of what it can do.
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We can group AI uses into three areas:
- Process automation - or dealing
with mundane administrative tasks; transferring data from call centers into
records, or making address changes for customers.
- Cognitive insight - this covers
tasks like predicting what a customer will buy or personalizing adverts for a
specific customer.
- Cognitive engagement - this includes
providing customer service, answering questions posed by employees, and even
recommending products and services to retailers.
2.
Identify Business Problems
Once you understand AI's broad capabilities,
you need to match AI to specific tasks; AI is a means to an end, rather than an
end in itself. If you've ever had to compare agile
vs waterfall during software development, say, you'll understand
this sentiment fully. You need to have a clear sense of what you will use AI
for to get a return on your (significant) investment.
You might use a chatbot to answer common
questions or guide customers towards important parts of the site. You may want
to use AI to compare your business with your competitors'. You can even (in
some cases) put AI to work on legal matters, like identifying problems with a
Non-Disclosure Agreement (NDA).
Alternatively, try looking for business tasks
that are repetitive, high-volume, or clearly rules-based. It's likely that AI
can play a significant part in these areas. If you work in ecommerce, for
instance, look into projects such as automated shipping.
Keep in mind AI still has its limits, and
can't replicate a human being's judgment or insight. While it's great for onboarding automation, for example, it has limited
uses when you're actually searching for new recruits.
3.
Bring In Help
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At this stage, you'll still have questions and
concerns, and you're not alone in this; many interested professionals have
identified roadblocks to adopting AI in their business.
That's why it's a great idea to bring in an external professional. They can
clarify AI's capabilities and help you choose a simple AI project to start with.
Early projects can be completed in a few
months, and work best when you bring together internal and external staff
members. This ensures you have the right mix of skills; you and your own staff
will understand how your business works and what it really needs. AI experts
can build upon this knowledge to produce an effective AI solution, which will
likely be an aid to day-to-day operations or service offerings.
Bear in mind that it may take a little time to
find the right AI service for you. It's also important to understand AI doesn't
offer an instant ROI: it requires time, understanding, and broader
infrastructure investment to really deliver.
4.
Educate Your Staff
Staff members might not be familiar with AI,
or they might have some negative preconceptions of AI. Before you begin to use
AI widely, it's important you thoroughly explain AI to your broader workforce.
Start by explaining the ins and outs of your
AI strategy to senior staff. It's important that they understand and are on
board with AI at this point; you're a team, and you need to be working towards
the same goal. It also ensures they can explain AI to the rest of your staff,
and moderate any fears they might have.
Try highlighting established AI to demystify
them; virtual assistants such as Siri may already be used by your staff, and
clearly illustrate AI's potential. You might also highlight common uses for AI in small businesses like
office management, lead nurturing, and customer feedback.
It's possible that your staff will have some
anxiety about wider AI use. Emphasize that AI is an assistant to employees
rather than a replacement.
5.
Consolidate Your Data
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AI needs large quantities of data in order to
work properly. This is because AI offers solutions by analyzing the information
given to it. Therefore, you need to make sure your data is as good as it can be
before it gets passed to AI.
Part of this means bringing all your data into
a single space as data that's useful to AI is often spread across different
systems or business groups. Early AI projects don't need to worry about this
too much, because you'll only be using a small quantity of data. If you want to
take AI seriously, you need to make sure data isn't mislabelled or low-quality
for AI-driven solutions to be useful.
You also need to consider the infrastructure surrounding your AI. While
cloud-based services are important, good AI requires things like scalable data
storage, network infrastructure, and appropriate physical hardware.
6.
Use AI Ethically
AI is a blessing to today's businesses, but it
also demands serious ethical considerations. A business needs to make sure it's
not using AI at the expense of its customers' dignity and privacy. A recent
example of this is the Apple Card, whose algorithm was accused of sexist decision-making.
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AI ethics are still evolving, and places such
as the UK don't have any AI-specific legislation at the time of publishing.
However, people are protected by other pieces of legislation (like the Equality
Act) which businesses should consider in their AI strategies. As a general
guideline, businesses should always be transparent about how their AI works.
They should respect the privacy of their users
and not use data in ways they haven't explicitly agreed to. If AI threatens
individual jobs, businesses also need to inform employees of these risks and
help them retrain.
7.
Think About Scaling
As RPA tools have demonstrated, today's AI has
multiple uses. Those uses are only going to expand, and it's worth considering
how you want to scale AI within your business.
In the early days of using it, you'll probably
be sticking with tried-and-true AI solutions - something that you expand across
your business more widely. As time goes by, you might want to look at AI
products that are still developing or even AI in its infancy. These AI options
can help you solve both more specific and unwieldy problems within your
business.
Again, remember that whatever AI product you
choose needs to serve your business interests, not the other way round.
8.
Consider What Makes You Different
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Businesses need to stay ahead of competitors,
through their choice of software testing methodologies and other
practices. A similar idea applies to AI - businesses need to think about how
their use of AI separates them from their rivals.
Open Your Doors to AI
One way to give your business an edge (at
least in the short term) is by expanding your in-house AI knowledge, via a center of excellence or other initiatives. For
AI to maintain its usefulness it needs engineers, data analysts, IT
professionals, and other skilled workers. By bringing in these professionals
(either by hiring new individuals or retraining existing employees), moving
forward, your business can fully embrace AI.
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ABOUT THE AUTHOR
Tammy Wood the Director of Technical SEO
at Automation Anywhere, has 20+
years in the SEO industry, often attending industry conferences world-wide. In
her opinion the best part of SEO is always the constant learning.