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DTSTAMP:20231207T185208Z
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DTSTART;TZID=US/Pacific:20231205T093000
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DESCRIPTION:Abstract:\n\nIn the ever-evolving landscape of corporate automa
 tion\, the transition from Robotic Process Automation (RPA) to Intelligent
  Process Automation (IPA) is critical nowadays. Integrating Machine Learni
 ng (ML) technologies and sophisticated Generative Pre-trained Transformer 
 (GPT) models reshape how financial institutions optimize their processes.\
 n\nThis presentation delves into Intelligent Process Automation\, where tr
 aditional boundaries are surpassed\, unlocking unprecedented possibilities
 . From the classification of tasks using ML algorithms to the revolutionar
 y impact of GPT models\, we explore each facet and unravel a narrative tha
 t underscores the transformative power of automation in the corporate sect
 or.\n\nDuring the talk\, we will discuss the following topics:\n\n- The Sh
 ift from RPA to Intelligent Automation.\n- Classification Algorithms in Ac
 tion — Illustrate how classification algorithms streamline corporate ope
 rations.\n- Information Extraction for Corporate Data — examine ML’s r
 ole in extracting data from unstructured corporate documents.\n- Signature
  Recognition for Enhanced Security — explore the role of ML in recognizi
 ng and authenticating signatures in various corporate documents.\n- Revolu
 tionizing AI with GPT Models — uncover the latest advancements in Genera
 tive Pre-trained Transformer (GPT) models\, highlighting their impact on t
 he corporate sector.\n- Delegating tasks to AI: Balancing Trust and Risk 
 — emphasize the importance of understanding the cost of errors in each p
 rocess.\n- Specialized Platforms for Corporate Automation — advocate for
  a balanced approach with a human-in-the-loop for continuous quality impro
 vement.\n\nCo-sponsored by: IEEE Okanagan College Student Branch\n\nSpeake
 r(s): Sergii Baibara Director of IBA Ukraine\, part of IBA Group\n\nRoom: 
  HS 102\, Bldg:  HS\, 1000 KLO Rd.\, Kelowna\, British Columbia\, Canada\,
  V1Y 4X8\, Virtual: https://events.vtools.ieee.org/m/386898
LOCATION:Room:  HS 102\, Bldg:  HS\, 1000 KLO Rd.\, Kelowna\, British Colum
 bia\, Canada\, V1Y 4X8\, Virtual: https://events.vtools.ieee.org/m/386898
ORGANIZER:youry@ieee.org
SEQUENCE:13
SUMMARY:From Robotic Process Automation (RPA) to Intelligent Process Automa
 tion (IPA)
URL;VALUE=URI:https://events.vtools.ieee.org/m/386898
X-ALT-DESC:Description: <br /><p><strong><span data-preserver-spaces="true"
 >Abstract:</span></strong></p>\n<p>In the ever-evolving landscape of corpo
 rate automation\, the transition from Robotic Process Automation (RPA) to 
 Intelligent Process Automation (IPA) is critical nowadays. Integrating Mac
 hine Learning (ML) technologies and sophisticated Generative Pre-trained T
 ransformer (GPT) models reshape how financial institutions optimize their 
 processes.</p>\n<p>This presentation delves into Intelligent Process Autom
 ation\, where traditional boundaries are surpassed\, unlocking unprecedent
 ed possibilities. From the classification of tasks using ML algorithms to 
 the revolutionary impact of GPT models\, we explore each facet and unravel
  a narrative that underscores the transformative power of automation in th
 e corporate sector.</p>\n<p>During the talk\, we will discuss the followin
 g topics:</p>\n<ul>\n<li>The Shift from RPA to Intelligent Automation.</li
 >\n<li>Classification Algorithms in Action &mdash\; Illustrate how classif
 ication algorithms streamline corporate operations.</li>\n<li>Information 
 Extraction for Corporate Data &mdash\; examine ML&rsquo\;s role in extract
 ing data from unstructured corporate documents.</li>\n<li>Signature Recogn
 ition for Enhanced Security &mdash\; explore the role of ML in recognizing
  and authenticating signatures in various corporate documents.</li>\n<li>R
 evolutionizing AI with GPT Models &mdash\; uncover the latest advancements
  in Generative Pre-trained Transformer (GPT) models\, highlighting their i
 mpact on the corporate sector.</li>\n<li>Delegating tasks to AI: Balancing
  Trust and Risk &mdash\; emphasize the importance of understanding the cos
 t of errors in each process.</li>\n<li>Specialized Platforms for Corporate
  Automation &mdash\; advocate for a balanced approach with a human-in-the-
 loop for continuous quality improvement.</li>\n</ul>
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