What purpose do Data Science tools play at DigiOutsource?

DATA SCIENCE AT DIGIOUTSOURCE

FROM DAILY GUESSWORK TO THE DEVELOPMENT OF IN-HOUSE DATA SCIENCE TOOLS. WHAT PURPOSE DO THESE TOOLS PLAY AT DIGIOUTSOURCE?

As a tech company and gaming house of choice, with hosts of global clients, DigiOutsource aims to provide superior customer service 24/7. We excel at managing our clients’ expectations as well as our own, having found enormous benefits growing our technical teams to expand the former and assist with the latter.

Data Science tools and techniques are only one part of how we choose to mitigate risk, curate the customer experience, or mine valuable data for example. Many of our Data Science tools have been developed in-house. One such tool, the Recommenda System, works very much like Netflix’s algorithm that recommends shows to watch based on your viewing habits. The Recommenda System suggests and displays games for our customers to play that are configured based on previous game choices.

Our Facial Recognition, Text Mining, and ASR Tools

Mitigating risk is a crucial part of our business, and involves the scaling of data verification on a global scale. Our in-house facial recognition tool is powerful for weeding out duplicate images during document processing, to protect our business against fraudulent behaviour.

With Text Mining, we are able to mine chats for technical flags (such as login errors) that assist the Tech department with keeping things running smoothly.

Automatic Speech Recognition (ASR) converts customer service conversations to text by means of a tool devised in-house using Python. ASR is significant for tracking persistent and recurring issues our global customers face that our internal monitoring may have not yet identified. Reports are collated on a daily basis to allow highlighted problems to be fixed efficiently.

Q&A with Data Scientist Trevor

We chatted to Data Scientist, Trevor, about Data Science trends for 2019, as well as how one could get involved in the fascinating field.

What is your background?

I studied a BSc in Statistics, and chose Data Science because it is a great challenge to implement algorithms that optimise some or other feature.  I have always been an analyst, initially in short term insurance and then I moved to DigiOutsource where I’ve been for almost 10 years now.

I like all things science! I used to represent South Africa at the World Memory Championships and have my Grandmaster in Memory. In general, I learn a lot from Coursera and YouTube.

What piece of advice would you give to someone trying to get into the field of Data Science?

a.             Look at doing some MOOC courses like those found on Coursera or edX.

b.             GitHub has many great Data Science implementation examples.

c.             Participate in Kaggle.com competitions or any data science competitions.

d.             Keep up to date on all things DS at https://www.datasciencecentral.com/

What Data Science trends do you think we can expect to see, or should keep an eye out for in 2019?

As the world of AI gains traction, we find questions such as, ‘What are the principles according to which we can say that we trust a robot?’ Imbuing machine learning and AI with ethics and fairness will gain a lot of traction this year. Other than that, the scope of application of Machine Learning (ML) and AI will widen considerably as we seek to fill gaps that can easily be filled with ML and AI. Here is a good article on such items:

https://towardsdatascience.com/data-science-trends-for-2019-11b2397bd16b

04 NOVEMBER 2019
Germany to Cape Town: Pia Lettenbauer

31 OCTOBER 2019
Digi Women in Tech: Lyndelle Lok

28 OCTOBER 2019
Long Service Awards: Khanyisa Poto

22 OCTOBER 2019
Digi Women in Tech: Jayd Williams

21 OCT 2019
The DIGIOUTSOURCE CUSTOMER SERVICE AWARDS 2019

15 OCTOBER 2019
The Importance of Real-time Risk Management at DigiOutsource

10 OCTOBER 2019
Digi Women in Tech: Ankita Dalmia

02 OCTOBER 2019
Software Design for Modern Architecture

16 SEPTEMBER 2019
The Importance of Good Leadership to Effectively Scale a Tech Department

13 SEPTEMBER 2019
Interview with Carlo Phillips

30 AUGUST 2019
Digi Women in Tech: Cheryl Fowler

26 AUGUST 2019
Software Architecture at DigiOutsource

20 AUGUST 2019
Digi Women in Tech: Tristan Tong

12 AUGUST 2019
Digi Women in Tech: Dudu Mhlanga

05 AUGUST 2019
Risk Services Career Day

01 AUGUST 2019
Digi Women in Tech: Rehana Levesque

24 JULY 2019
THE DATA SCIENCE CHATBOT CHALLENGE

23 APRIL 2019
MICRO SERVICES, WHAT ARE THEY AND HOW DO THEY WORK

3 APRIL 2019
DATA SCIENCE AT DIGIOUTSOURCE

19 FEBRUARY 2019
INTERVIEW WITH RICKY

2 JANUARY 2019
INTERVIEW WITH CHER

31 JULY 2018
INTERVIEW WITH CHARL BAARD

16 MAY 2018
Exploring Career Opportunities

4 MAY 2018
A Hike a Day for a Year

17 APRIL 2018
Q & A with JP Stoltenkamp

19 DEC 2017
INTERVIEW WITH JAMESON KRETZMANN

01 SEP 2017
CCMG AWARD WINNERS

26 AUG 2017
CELEBRATING 20 YEARS OF DIGIOUTSOURCE

05 JUN 2017
DIGIOLYMPICS WINNERS

05 MAY 2017
DARG AND FALLEN ANGELS

10 DEC 2016
DIGIOUTSOURCE YEAR END FUNCTION