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BEAST #7

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72 #Technology | Artificial Intelligence<br />

#Technology | Artificial Intelligence 73<br />

SUPER-BOOST<br />

YOUR COMPANY<br />

WITH AI IN 4 AREAS BY<br />

FATEH AMROUNE<br />

The overall artificial intelligence market is<br />

expected to be worth between USD 16.06Bn<br />

… and a staggering 153Bn by 2022 [1] . The<br />

difference is so big that any projection or<br />

conclusion is pointless, the complexity to<br />

evaluate the market potential of AI market is<br />

a direct consequence of the broad meaning<br />

of AI. AI is in reality «just» an umbrella term,<br />

or like some say a marketing buzz word, that<br />

include a lot of sub-fields, ranging from the<br />

classic ‘Problem Solving’ to the holy grail of<br />

‘General Intelligence’. Therefore, asking if AI is<br />

good for your business is like asking a doctor if<br />

medicine is good to heal patients, the answer<br />

is «yes» but you won’t get many more details.<br />

In this article, instead of going through a list of technologies and fields that<br />

AI covers, I’ve taken an enterprise-centric approach, and imagined how key<br />

departments could benefit from this new super-power, today and tomorrow.<br />

From Human Resource to Employee Happiness Department<br />

The HR department is crucial in every company, they do the single most<br />

important thing that make all the rest possible, they hire the people to<br />

build the company. Unfortunately, CV mining, office management and other<br />

administrative tasks consume most of their time, neglecting the core and<br />

critical part of their job; choosing the right people to work in the company and<br />

working on their happiness that will lead to performance for the company. The<br />

AI field that will help HR the most are Natural Language Processing and Social<br />

Intelligence and Machine Learning. With these technologies, HR will smartly<br />

automate the identification of ideal candidates, using multiple sources of data<br />

such as internet fingerprint, posted CV, social network density and quality and<br />

social media activity. AI will also predict future employee performance based<br />

on their past performance, company forecast, manager and peers feedback,<br />

personal profiling etc. and take over most of the administrative tasks. AI will<br />

liberate HR from the paper work, and they will be able to re-focus their time<br />

and energy on the Human side of their role.<br />

Companies such as EmployInsight rely heavily on data processing and<br />

machine learning techniques to identify the best applicant.<br />

© Shutterstock - ktsdesign<br />

A Company like Onfido also uses internet and AI to process background<br />

checks more quickly and effectively than ever.<br />

From Customer Service to User Delight Department<br />

If HR own the first interaction with employee, the Customer Service<br />

department owns the other critical first interaction, the one with<br />

customer. Its quality can make or break a company. Therefore, being on<br />

the top of your game can change the destiny of your company. Here,<br />

two fields of AI may generate a decisive advantage; Natural Language<br />

Processing and Social Intelligence. With a market expected to grow<br />

at a CAGR of more than 37% between 2017 and 2021 according<br />

to BusinessWire, Global Chatbot is the flagship of Natural Language<br />

Processing. Chatbots combined with Social Intelligence may disrupt<br />

the customer service for ever. This technology will allow companies<br />

to offer instant and customized responses to any customer on any<br />

device at any time<br />

Chatbot is a bourgeoning space with multiple actors from very big<br />

companies such as Microsoft to startups such as Anboto and Nuance,<br />

two promising companies offering a performant Chatbot dedicated to<br />

Customer Service.<br />

From Marketing to Financial Scenario Department<br />

There’s a famous quote about Marketing stating «the main problem<br />

of marketing campaign is that 50% of their campaign fails, but noone<br />

knows which half». Marketing is both a science and an art,<br />

but it may definitely turn into a science sooner rather than later.<br />

Advanced capabilities such as Machine Learning, Natural Language<br />

Processing, applied statistics among other techniques pave the<br />

way to a new field called the prescriptive analytics. It goes a step<br />

ahead of predictive analytics in the sense that this technology also<br />

suggests the best actions to initiate to take advantage of the future<br />

as perceived. With this technology in hand, a marketer becomes a<br />

man with super-powers, as he will have the power to visualise, make<br />

scenarios and act on the future (only concerning their product sales<br />

and not the lottery…). The principle is quite simple. Sales output<br />

means a direct outcome of millions of inputs (external or internal),<br />

and if you have access to this input, with enough power to process it<br />

and the right algorithm to learn and refine the model, then you can<br />

predict the sales outcome more precisely than ever. An unexpected<br />

outcome might be the merge of finance and marketing functions in<br />

the near future.<br />

«Fateh Amroune is the founder of Kemada, a consulting company<br />

in digital transformation, and co-founder of Singular Intelligence,<br />

an Oxford-based start-up specialized in AI and prescriptive<br />

analytics. Serial entrepreneur with over 18 years of<br />

experience in software industry and an Oxford<br />

graduate in Strategy and Innovation, Fateh is<br />

passionate about the impact of technologies on<br />

businesses.»<br />

Interested in this field? If you just play it safe, you can try IBM<br />

or Nielsen Quick. If you are an investor or an early adopter<br />

have a look at Singular Intelligence for their prescriptive<br />

analytics solution or Talkwalker for their AI powered solution<br />

offering advanced market knowledge.<br />

From Top Management to General Intelligence Management<br />

Does having a robot in your board of director sound like<br />

science fiction? In fact, it has already happened as a<br />

robot called Vital was named director by a Hong Kong<br />

venture capital in 2014. In 2016, Tieto, a Nordic company<br />

also appointed an Artificial Intelligence as a member of<br />

the leadership team. The rise of AI in these two cases is<br />

largely due to the nature of the companies which are heavily<br />

data-driven. The underlying technology for those two AI is<br />

prescriptive analytics. But there’s an even bigger jump that<br />

may happen, the combination of several AI sub-fields such<br />

as prescriptive analytics, NLP, creativity processing, social<br />

intelligence and planning all packaged in one will generate<br />

what we call «general intelligence», an artificial intelligence<br />

able to surpass Humans in all cognitive aspects and able to<br />

understand the human impact of the decision.<br />

General Intelligence technology is mostly studied in universities<br />

such as Cambridge or MIT but there are two noticeable startups<br />

working on a commercially viable General Intelligence<br />

solution: the first is KIMERA with Nigel and the second is<br />

Maluuba which was recently acquired by Microsoft.<br />

Any technology that can reproduce automatically a human<br />

reasoning is by definition Artificial Intelligence in that sense AI<br />

can be dated back to the mid-1600 and the first calculating<br />

machine. That is why AI is a moving target, what we’ve called<br />

today AI will be just simple technology tomorrow. That is<br />

also why AI will remain a greenfield world with millions of<br />

possibilities but we should not be blurred by the buzzword<br />

and trends, we should put the technology aside, think value<br />

proposition and reframe our ambition. As a rule of thumb, use<br />

the value 10, and force yourself to ask over ambition goals:<br />

how can I divide my costs by 10? How can I build this product<br />

10 times faster? How I can multiply my sales by 10? This<br />

way of thinking will force the company to put aside the old<br />

processes leading to incremental progress and think about<br />

disruptive innovation (at organisation,<br />

business and technology levels).<br />

Only then you can start thinking<br />

about how AI, or any other<br />

technology, can help you.<br />

<strong>BEAST</strong> MAGAZINE <strong>#7</strong><br />

1<br />

Sources: marketsandmarkets.com and techemergence.com - 31/03/1

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