Smart Industry 1/2020
Smart Industry 1/2020 - The IoT Business Magazine - powered by Avnet Silica
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<strong>Smart</strong> Business Title Story: <strong>Smart</strong> Companies<br />
source ©: Medium Corporation<br />
globally. For example, it supports<br />
a Care Manager function that can<br />
sift through both structured and<br />
unstructured data to help tailor care<br />
programs in conjunction with human<br />
medical professionals. Watson<br />
has also been applied to the hunt<br />
for new therapeutic drugs and in<br />
optimizing cancer treatment and<br />
care using historic data and patient<br />
information to fine-tune regimens<br />
to the needs of the individual.<br />
Dreamstime is a European stock photography<br />
company which has started<br />
to use AI to improve the experience<br />
of its website users, for instance during<br />
the photo-vetting process. Horia<br />
Beschea, an AI specialist working<br />
with the company from Bucharest,<br />
Romania, explains: “Before photos<br />
are posted onto the website, AI is<br />
used to sort through them. That allows<br />
us to distribute content to our<br />
users at a much faster rate than ever<br />
before. Our AI models recognize hu-<br />
18<br />
Watching Out for<br />
Subtle Signals<br />
AI can be trained to<br />
detect and interpret<br />
the social signals in<br />
human communication,<br />
thus offering<br />
in-call guidance to<br />
call center agents<br />
for every phone<br />
conversation.<br />
AI is a huge<br />
win for an<br />
industry that<br />
relies on<br />
heavy<br />
reporting.<br />
Oscar Macia<br />
ForceManager<br />
AI allows us<br />
to distribute<br />
content to our<br />
users much<br />
faster than ever<br />
before.<br />
Horia Beschea<br />
AI specialist,<br />
Dreamstime<br />
Conversation Starters<br />
LivePerson has access to data that<br />
helps inform the brand–consumer<br />
relationship and interaction, he explains.<br />
This data can be leveraged to<br />
reveal within each product category<br />
and subcategory why people are<br />
reaching out to customer care. The<br />
system is built on 24 years of customer<br />
call center data. According to<br />
Fischaleck, more than 18,000 companies<br />
currently use LivePerson.<br />
Finally, Stephane Rion, senior deeplearning<br />
scientist for Teradata in<br />
France, says his company is delivering<br />
AI customized solutions “built<br />
from the ground up” and based<br />
on the client’s requirements, using<br />
a blend of the latest open-source<br />
technologies and Teradata’s Vantage<br />
analytics platform.<br />
“We deliver fraud detection solutions<br />
based on deep recurrent neural<br />
networks, financial products recommendation<br />
systems, and document<br />
processing and automatic validation<br />
for the back office,” Rion says.<br />
Teradata is currently working with<br />
Abanca and other major banks in<br />
Spain on the implementation of a<br />
solution to accelerate the loan acceptance<br />
process for bank customers.<br />
The product is up and running<br />
and enables the validation of hundreds<br />
of loan requests per day, Rion<br />
claims. It processes and classifies<br />
necessary client documents (proof<br />
of address, pay slips, etc.) for a loan<br />
request using natural language processing<br />
techniques and machine<br />
learning. It also extracts and validates<br />
specific information such as<br />
national insurance numbers and signatures<br />
from the documents using<br />
optical character recognition and<br />
deep-learning models.<br />
Beyond those adoption stories and<br />
the range of views on AI’s progman<br />
models in images, image type,<br />
and content that should be filtered<br />
[e.g. adult/health/violence] and run<br />
on all new images at once.”<br />
Applying AI allows Dreamstime to<br />
get an automated understanding<br />
of the image content and its potential<br />
value as stock photography.<br />
Freed from the onerous and timeconsuming<br />
tasks of sorting images,<br />
editors can focus on quality issues.<br />
In Barcelona, ForceManager, which<br />
specializes in mobile CRM, says it<br />
is the first in Europe to incorporate<br />
machine learning and conversational<br />
AI technology (along the lines of Siri<br />
and Alexa) to help field sales representatives<br />
working away from the<br />
office. The system delivers insights<br />
on upcoming deals, recalls data from<br />
previous visits, and even recommends<br />
certain products or services<br />
for promotion to specific customers.<br />
“We’re seeing many of the consumer<br />
AI trends carry over to business to cut<br />
out menial tasks and drive efficiency,”<br />
says ForceManager’s cofounder<br />
and CEO Oscar Macia. One of the<br />
company’s creations is a virtual, AIbased<br />
sales assistant called Dana.<br />
On average, according to Macia, field<br />
sales reps spend 63 percent of their<br />
time on non-selling activities. With<br />
Dana’s help, they can use their commuting<br />
time to report on a meeting<br />
in real time and stay up to date on<br />
their pipeline. “It’s a huge win for<br />
an industry that relies on a heavy<br />
reporting funnel to survive,” he says.<br />
AI-enabled artificial assistants are in<br />
many ways similar to what’s on of-<br />
source ©: ForceManager<br />
fer from LivePerson, a provider of<br />
conversational commerce software<br />
that can work semi-autonomously<br />
or in concert with employees. “We<br />
are changing the very nature of<br />
brand–customer interaction,” says<br />
Moritz Fischaleck, a product evangelist<br />
at LivePerson in Berlin.