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IoT + = INTERNET OF THINGS: CAN IT HELP FINANCE? SEBASTIAN JAKUBIAK SENSONAR MANAGING DIRECTOR

Internet of Things: Can It Help Finance ?

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Page 1: Internet of Things: Can It Help Finance ?

IoT + =

INTERNET OF THINGS: CAN IT HELP FINANCE?SEBASTIAN JAKUBIAK SENSONAR MANAGING DIRECTOR

Page 2: Internet of Things: Can It Help Finance ?

S E B A S T I A N J A K U B I A K

Sensonar.com Intelligent Operation Systems

Managing Director

BIO

Managing Director at sensonar.com. ExO startup for development intelligent sensor platforms class IoT (Internet of Things) and IIoT (Industrial Internet of Things). He also inventing new business models based on digital transformation of value chain for Industry 4.0 and utilising Ai (Artificial intelligence). 

In previous assignments he was Managing Director of Sygnity S.A., between 2004 and 2011 in Hewlett-Packard - Enterprise Services and Outsourcing Services Director, and from 2002 to 2004 Trusted Advisor for Business Digital Transformation and Selective IT Outsourcing Project Manager in Netia.

He published in Harvard Business Review, Forbes, Computerworld and Puls Biznesu. Lecturer of Transformational Outsourcing at SGH post-gradute Management Study in Warsaw. Volunteering Juror Board of Directors Member at Polish National Sales Awards.

He awarded diploma in Quantum Physics, he is passionate in alpine skiing, MTB, loves good cuisine, love post-impressionism, cubism and modern art.

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Current technology trendsDigitalMesh

SmartMachines

New ITReality

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It’s estimated till 2030 sensors networks will increase about

700 000 x (!!!)* It will solve many todays problems of humanity:

from intelligent shoe to fight against cancer* See backup slides

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The Moore’s Law and the Koomey’s Law

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Large Hadron ColliderLHC

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Singularity in front of us

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Ai - Artificial intelligence

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Intelligent Analysis and Forecast• Definitions and monitoring of factors • Impact analysis • Identification and detection of patterns • Mathematical modeling

• Clustering group of points • Comparison analysis • Forecast and prediction (various models) • Alerts

SOFTWARE IN DECISION TAKING PROCESS

CONDITIONAL SELECTION

STATISTICAL REASONING

MACHINE LEARNING

ARTIFICIAL INTELLIGENCE

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New ecosystems are emerging

Source:EY–IndustryRedefined2016

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htttp://envisioning.io/money

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htttp://envisioning.io/money

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htttp://envisioning.io/money

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I O T I N T H E B A N K

NAO ROBOT IN THE BANK

▸ Nao is a customer service robot being piloted by Mitsubishi UFJ Financial Group, Japan’s biggest bank. Nao’s visual and auditory “senses,” connected to advanced arti cial intelligence, allow it to “see” customers, recognizing them and the tone of their voices. Nao thus has rich interactions with customers, greeting them in their native language (it understands and speaks 19). It can support human staff during rush hours or special events that draw more foreigners to the bank. If Nao performs well, the bank is likely to employ more robotic staff in pursuit of better customer service.

Source: PwC - „Tech breakthroughs megatrend: how to prepare for its impact”, 2016

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Are you sure ?

* CUT

*

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Bibliography• „Exponential organizations” – S. Ismail • „Rise of the robots” – M. Ford • „The second machine age” – E. Brynjolfson, A. McAfee • „The singularity is near” – R. Kurzweil • „The fourth paradigm” – E. Gray (not from the 50th Shades of Grey)

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KINDLY INVITE YOU TO COOPERATE IN THE SAME ECOSYSTEM

[email protected] HTTPS://PL.LINKEDIN.COM/IN/SJAKUBIAK

MOST PEOPLE SEE THE REVOLUTION ON THE THIRD DAY.

FEW OF THE OTHERS BECAME WINNERS.- prof. Piotr Płoszajski