Post on 15-Apr-2017
transcript
Success story
Outsource People 2016
April 2016
Outline
3
Facts about me
What problems banks are trying to solve?
What prevents them to do that?
Smart Process Automation
Team Collaboration
Q&A
Facts about WorkFusion
Facts about me
4
BSU. Faculty of Mechanics and Mathematics. 1995 – 2000
NT lab – 2 years. VHDL developer
IBA – 8 years. Developer -> Team Lead
Exadel – 4 years. Department Manager
Strevus – 3 years. Co-Founder. Director of Engineering
WorkFusion – 1 year. Co-Founder. Director of Engineering
Institute of Technical Cybernetics, National Academy of Sciences
Facts about WorkFusion
5
WorkFusion is in 10 NYC Startups That Raised the Most Amount of
Capital in December
WorkFusion Raises $14M to Drive Smart Process Automation in
Enterprise
What problems banks are trying to
solve?
6
Reduce cost
Configurability
Automation process
Reduce FTE: 25% or more
What prevents them to do that?
7
Tech team can not deliver
Leaving Legacy systems as is
Huge amount of low quality documents
All optimization was considered done by moving to Offshore
Support Chinese, Korean, Japanese, etc.
Smart Automation Process
April 2016
What is “Robotics” and “Cognitive”?
Why are they new?
9
Head work
Hand work Cognitive Automation
Robotics “aka” RPA
i.e. entering data from one application into another
i.e. extracting information from unstructured documents
Why now? End of labor arbitrage + strong adoption of
self-service across enterprise
Why now? Breakaway progress in AI tech + availability of data and compute in
cloud
50% impact can be expected from full-stack
implementation of smart automation, as high
as 70% if starting from onshore
10
Initial state Future state
Plain old offshoring and outsourcing
Sourcing Cognitive Robotics
10-15% robotic automaton on offshore, 40% on onshore resources
10-20% cognitive automation on top of robotics
5-10% human worker analytics / UX improvements
30%
+50%
Smart automation
Automation of onshore FTE remaining due to regulatory reasons
WorkFusion is Smart Automation
11
Human-in-the loop
Crowdsourcing Statistical Quality Control
2011 MIT CSAIL lab research leads to R&D on human-in-the-loop computing
Microtasking Robotics
2012 WorkFusion launches first SaaS platform for Microtasking in enterprise
Machine Learning
2013 WorkFusion launches Machine Learning automation
Smart Automation
2014 WorkFusion becomes first full stack robotics + cognitive + human platform
Full stack Automation
2015 WorkFusion patents Worker Fitness, Virtual Data Scientist
CASE STUDY
Processing of Invoices to extract header information and
individual line-items
12
Situation
A Human Resource software company processes up to 150k invoices on a monthly basis
The current processing method is fully manual, which limits the amount of information that can be extracted
Approach
Optical Character Recognition (OCR) capabilities are applied to turn each invoice into structured text, which is then passed through a workflow
Machine Learning models are applied to automatically extract values where possible
When human effort is required, a semi-automated information extraction task is used to speed-up the manual work
Impact
FULLY MANUAL
TO
80% AUTOMATION
1 LINE PER
DOCUMENT TO
ALL DOCUMENT
LINES
KEYING
REPLACED BY
HIGHLIGHTING
AND AUTO-
SELECTION
CASE STUDY
Standardizing on processing format to collect key values
from tax documents
Problem
Customer is storing and analyzing tax documents for its customers. To add each document to the database correctly, the Company Name and Jurisdiction need to be extracted from the document. The current process is fully manual due to the large variety of PDF types and tax documents
Impact
Utilized WF’s OCR technology to convert all documents to a format maintaining context. Configured web scraper and information extraction tools to be able to collect data. Incorporate in a workflow that incudes normalization of values and human exception management.
1
How does WorkFusion enabled enterprise automation architecture?
14
Enterprise Infrastructure / Enterprise Cloud
Systems of Record (ERP, CRM, …) Data Warehouse / Data Lake
Cognitive Automation (VDS)
Digitization (OCR, Scraping, …)
Workforce Orchestration
Au
tom
ation
A
uto
matio
n en
ablers
Mobile
Business Process Management
Messaging UX D
ata
Inte
grat
ion
(ET
L, D
Q, M
DM
)
Robotic Automation (RPA)
Au
tom
atio
n B
I/A
nal
ytic
s
Emb
edd
ed A
uto
mat
ion
Team collaboration
June 2015
Team structure
Sales, marketing
Pre-Sales
R&D
Engineering
Professional Services
Customer Support
16
Process Improvements
Top priorities focus
Feature Team Approach
Continuous Delivery
Collaboration
Ownership
Seniority
Expertise
17
Q&A
18
Contact
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Ilya Kazimirovskiy Director of Engineering Mobile: +375 29 163 3393 Email: ikazimirovskiy@workfusion.com Site: workfusion.com