BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240721T043836Z UID:FE6BF006-B5A6-4D36-B972-2A68AAE596CA DTSTART;TZID=US/Pacific:20240720T093000 DTEND;TZID=US/Pacific:20240720T123000 DESCRIPTION:In the ever-evolving landscape of corporate automation\, the tr ansition from Robotic Process Automation (RPA) to Intelligent Process Auto mation (IPA) is critical nowadays. Integrating Machine Learning (ML) techn ologies and sophisticated Generative Pre-trained Transformer (GPT) models reshape how financial institutions optimize their processes.\n\nThis works hop delves into Intelligent Process Automation\, where traditional boundar ies are surpassed\, unlocking unprecedented possibilities. From task class ification using ML algorithms to the revolutionary impact of GPT models\, we explore each facet and unravel a narrative that underscores the transfo rmative power of automation in the corporate sector.\n\nDuring the worksho p\, we will discuss the following topics:\n\n-\nThe Shift from RPA to Inte lligent Automation.\n-\nClassification Algorithms in Action — Illustrate how classification algorithms streamline corporate operations.\n-\nInform ation Extraction for Corporate Data — examine ML’s role in extracting data from unstructured corporate documents.\n-\nSignature Recognition for Enhanced Security — explore the role of ML in recognizing and authentica ting signatures in various corporate documents.\n-\nRevolutionizing AI wit h GPT Models — uncover the latest advancements in Generative Pre-trained Transformer (GPT) models\, highlighting their impact on the corporate sec tor.\n-\nDelegating tasks to AI: Balancing Trust and Risk — emphasize th e importance of understanding the cost of errors in each process.\n-\nSpec ialized Platforms for Corporate Automation — advocate for a balanced app roach with a human-in-the-loop for continuous quality improvement.\n\nCo-s ponsored by: IEEE Okanagan College Student Branch\n\nSpeaker(s): Sergii Ba ibara Director of IBA Regional Office\, part of IBA Group\, Sergey Zlobich \, Ajitesh Parihar \, Kristina Cormier\n\nAgenda: \n-\n-\nA mini workshop Agenda:\n\n1. Welcome from Computer Science Department: Dr. Youry Khmelev sky\, Chair (9:30 am – 10:00 am)\n2. An Invited Speaker from Industry: I BA Group (10:00 am – 11:00 am)\n3. Coffee break (11:00 am – 11:30 am)\ n4. An Invited Speaker from Academia. Mohamad Khajezade\, Computer Science Department\, UBCO and OC: Model Compression: Quantization and Knowledge D istillation (11:30 am – 12:00 pm)\n5. COSC Students Capstone Project res ults presentation and demonstration (12:00 pm – 01:00 pm)\n\n-Introducti on of Students\n-Introduction of Project\n-Machine Learning Team Roles\n-I nformation Extraction (IE) from Annual Financial Statements\n       Step 1: Create a new document type\n      Step 2: Collec t & prepare a training set\n      Step 3: Train Machine Learni ng (ML) model\n-Automation Process\n-Matching Purchase Orders with the cor responding Invoice using a Hybrid Process\n-DEMO Information Extraction An nual Financial Statements\n-DEMO Matching Purchase Order to Corresponding Invoice using Hybrid Process.\n\nQ&A\n\nRoom: E-308\, Bldg: E-308\, 1000 K LO Rd.\, Kelowna\, British Columbia\, Canada\, V1Y 4X8\, Virtual: https:// events.vtools.ieee.org/m/424538 LOCATION:Room: E-308\, Bldg: E-308\, 1000 KLO Rd.\, Kelowna\, British Colum bia\, Canada\, V1Y 4X8\, Virtual: https://events.vtools.ieee.org/m/424538 ORGANIZER:youry@ieee.org SEQUENCE:15 SUMMARY:Robotic Process Automation (RPA) and Intelligent Process Automation (IPA) for Small Industries in BC (a mini workshop) URL;VALUE=URI:https://events.vtools.ieee.org/m/424538 X-ALT-DESC:Description: <br /><div>In the ever-evolving landscape of corpor ate automation\, the transition from Robotic Process Automation (RPA) to I ntelligent Process Automation (IPA) is critical nowadays. Integrating Mach ine Learning (ML) technologies and sophisticated Generative Pre-trained Tr ansformer (GPT) models reshape how financial institutions optimize their p rocesses.</div>\n<div>&nbsp\;</div>\n<div>This workshop delves into Intell igent Process Automation\, where traditional boundaries are surpassed\, un locking unprecedented possibilities. From task classification using ML alg orithms to the revolutionary impact of GPT models\, we explore each facet and unravel a narrative that underscores the transformative power of autom ation in the corporate sector.</div>\n<div>&nbsp\;</div>\n<div>During the workshop\, we will discuss the following topics:</div>\n<div>&nbsp\;</div> \n<ul>\n<li>\n<div>&nbsp\; &nbsp\; The Shift from RPA to Intelligent Autom ation.</div>\n</li>\n<li>\n<div>&nbsp\; &nbsp\; Classification Algorithms in Action &mdash\; Illustrate how classification algorithms streamline cor porate operations.</div>\n</li>\n<li>\n<div>&nbsp\; &nbsp\; Information Ex traction for Corporate Data &mdash\; examine ML&rsquo\;s role in extractin g data from unstructured corporate documents.</div>\n</li>\n<li>\n<div>&nb sp\; &nbsp\; Signature Recognition for Enhanced Security &mdash\; explore the role of ML in recognizing and authenticating signatures in various cor porate documents.</div>\n</li>\n<li>\n<div>&nbsp\; &nbsp\; Revolutionizing AI with GPT Models &mdash\; uncover the latest advancements in Generative Pre-trained Transformer (GPT) models\, highlighting their impact on the c orporate sector.</div>\n</li>\n<li>\n<div>&nbsp\; &nbsp\; Delegating tasks to AI: Balancing Trust and Risk &mdash\; emphasize the importance of unde rstanding the cost of errors in each process.</div>\n</li>\n<li>\n<div>&nb sp\; &nbsp\; Specialized Platforms for Corporate Automation &mdash\; advoc ate for a balanced approach with a human-in-the-loop for continuous qualit y improvement.</div>\n</li>\n</ul><br /><br />Agenda: <br /><ol>\n<li>\n<u l>\n<li>\n<div>A mini workshop Agenda:</div>\n<div>&nbsp\;</div>\n<div>1. Welcome from Computer Science Department: Dr. Youry Khmelevsky\, Chair (9: 30 am &ndash\; 10:00 am)</div>\n<div>2. An Invited Speaker from Industry: IBA Group (10:00 am &ndash\; 11:00 am)</div>\n<div>3. Coffee break (11:00& nbsp\; am &ndash\; 11:30 am)</div>\n<div>4. An Invited Speaker from Academ ia. Mohamad Khajezade\, Computer Science Department\, UBCO and OC: Model C ompression: Quantization and Knowledge Distillation (11:30 am &ndash\; 12: 00 pm)</div>\n<div>5. COSC Students Capstone Project results presentation and demonstration (12:00 pm &ndash\; 01:00 pm)</div>\n<div>\n<div class="e lementToProof">-Introduction of Students</div>\n<div>-Introduction of Proj ect</div>\n<div>-Machine Learning Team Roles</div>\n<div>-Information Extr action (IE) from Annual Financial Statements</div>\n<div>&ensp\;&ensp\;&en sp\;&ensp\;&ensp\;&ensp\;Step 1: Create a new document type</div>\n<div>&e nsp\;&ensp\;&ensp\;&ensp\;&ensp\;&ensp\;Step 2: Collect &amp\; prepare a t raining set</div>\n<div>&ensp\;&ensp\;&ensp\;&ensp\;&ensp\;&ensp\;Step 3: Train Machine Learning (ML) model</div>\n<div>-Automation Process</div>\n< div>-Matching Purchase Orders with the corresponding Invoice using a Hybri d Process</div>\n<div>-DEMO Information Extraction Annual Financial Statem ents</div>\n<div>-DEMO Matching Purchase Order to Corresponding Invoice us ing Hybrid Process.</div>\n</div>\n</li>\n</ul>\n<p>Q&amp\;A</p>\n<p>&nbsp \;</p>\n</li>\n</ol> END:VEVENT END:VCALENDAR