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Smart Industry 1/2020

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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.

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