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TaxLab 2017

Four Faces of TaxPeter Kits, 28 March 2017

TaxLab 2017

Tax Technology

© 2017 Deloitte The Netherlands

Bill Gates Chairman and CEO of Microsoft

“We always overestimate the change that will occur in the next 2 years and underestimate the change that will occur in the next 10…..….. don’t let yourself be lulled into inaction”

Exponential developments vs linear developments

TaxLab 2017


Crowd-sourcingRobotic Process Automation

Cognitive ComputingDigitisation

Data

Wran

glin

g

Enterprise data management

Hadoop

Data Analytics

Infor mating

Artificial Intelligence

Robotics

Data

Scie

nce

AutonomicsD

ata

Min

ing

Fuzzy logic

Pattern matchingMachine Learning

Deep learn

ing

IBM

Wats

on

ERP

Open Source

Conte

nt

scra

pin

g

STEM

XBRL

Block chain

Bitcoin

Botn

et

Internet of things

SaaS

(Soft

ware

as a

Serv

ice)

IaaS (Infrastructure as a Service)

PaaS (Platform as a Service)

Focus

TaxLab 2017


ROBOTIC PROCESSAUTOMATION

BIG DATACOGNITIVE COMPUTING

The important emerging technologies for tax

TaxLab 2017


Differences RPA / Cognitive / Artificial Intelligence

“Mimics/Augments Quantitative Human

Judgment”

• Used for judgment based processes

• Covers machine learning capability

• Interprets human behavior

“Augments Human Intelligence”

• Used for predictive decisioning

• Dynamically self-adaptable and managing

“Mimics Human Actions”

• Used for rule-based, simple to complex (transactional) processes

• Addresses priority business problems driven by process breakages

• Enables:

‒ Faster handling time

‒ Higher volumes

‒ Reduced error rates and handling costs

“Mimics Human Intelligence”

Turing Test Definition: “A test for intelligence in a computer, requiring that a human being should be unable to distinguish the machine from another human being by using the replies to questions put to both”

No current true AI

capability yet

RPA Cognitive automationArtificial

intelligence

+

TaxLab 2017


“The data volumes are exploding, more data has been created in the past two years than in the entire previous history of the human race.”

“By 2020, we will have over 6.1 billion smartphone users globally (overtaking basic fixed phone subscriptions).”

“Within five years there will be over 50 billion smart connected devices in the world, all developed to collect, analyze and share data.”

Forbes 2015

Big data – The growth of information

TaxLab 2017


Big data – Information generation

What is generating all this data? Internet

• Sensors everywhere• A linked up world generating huge

quantities of data • Systems tracking our behaviour

triggering actions

• What we browse

• What we purchase

• What we are interested in

• Companies house

• Country by Country reports

• Other regulators

Internet of things Publically available information

• Social media

• Our online interactions

• Where we are: photos, calendar,

emails

TaxLab 2017


Big data / Cognitive Computing

• Based on historic and

real time data

generated we are

supported to make

decisions

• We are able to project

what is coming to

make better and

smarter decisions

• We avoid risks and be

as efficient as possible

Any different for a Tax

Director?

TaxLab 2017


Cognitive examples – Chatbots

Imagine you can ask questions to a virtual machine, supported by a bulk of structured

and unstructured data. Easy to access, just like you would ask an expert. Will this drive

change in the world of TAX?

Tax applications?

A trend or solution?

Will this replace human interaction?

Can this work for us?

TaxLab 2017


Structured vs unstructured data

TaxLab 2017


Cognitive Computing – The future

We are more capable of working with structured and

unstructured data and getting meaning out of it. However, the

way we retrieve information and how it is presented is crucial.

We take advice from people not robots

This is changing and we are driving this change. Chatbots can

mimic human interaction feeling you talk to a human

TaxLab 2017


Cognitive examples – Changing the way we obtain expert information

TaxLab 2017


Cognitive examples – Changing the way we process information

“The DoNotPay bot has

beaten 160,000 traffic tickets

— and counting”

TaxLab 2017


Cognitive examples – Chatbot Carl (Deloitte)

Combining structured and

unstructured data, with

machine learning and a

smart interface we

internally support our

colleagues with valuable

and relevant information.

Not delivered by people

but by machine

TaxLab 2017


‘Cognitieve Intelligentie Chatbot (CIC)’

In order to improve the functionality of Carl several initiatives are identified as potential follow-ups. Carl’s basic functionality can be improved by incorporating user feedback. He can also be connected to other systems to be able to extract knowledge from those sources. Last, the ability to ask return questions can be added in a later stage to improve the specificity of the final answer if required.

Baby CARL

16Cognitive Technologies - 8 December 2016

Capabilities

Baby Carl, a proof of concept

Nature and feed information to improve functionality

Connect with other systems and increase knowledge

Intelligent solution that can operate independently

Time and effort

We are here


A work in progress

CARL - Process

19Cognitive Technologies - 8 December 2016


Robotic Process Automation (brief introduction)

RPA is delivered through software that can be configured to undertake rules-based (deterministic) tasks

RPA is… RPA is not…

Computer-coded software

Programs that replace humans

performing repetitive rules-

based tasks

Cross-functional and cross-

application macros

Walking, talking auto-bots

Physically existing

machines processing paper

Artificial intelligence or

voice recognition and reply

software

TaxLab 2017


Robotic Process Automation (brief introduction)

Opening email and attachments

Logging into web/ enterprise applications

Moving files and folders

Copying and pasting

Filling in forms

Reading and writing to databases

Scraping data from the web

Making calculations

Connecting to system APIs

Extracting structured data from documents

Collecting social media statistics

Following “if/then” decisions/rules

IN AN RPA SOLUTION, ROBOTS ARE CAPABLE OF MIMICKING MOST USER ACTIONS

TaxLab 2017


Invest in knowledge to get a better understanding of Big Data, Cognitive and Robotic Process Automation

Reach out to any matter experts from Deloitte to gain knowledge and to explore and identify technology opportunities for certain area’s in your company

Peter Kits – Cognitive

Wobke Hählen – Robotic Process Automation

Our Message

TaxLab 2017

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taxlab 2017 tax technology - deloitte us | audit ... · taxlab 2017 tax technology ... we will have...

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