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How to Maximize Automation Initiatives

As companies experience a decrease in efficiency within their organization they may want to digitally transform their processes. Many will want to start with RPA but with the advancements in technology RPA by itself may not get the job done. There are many benefits of RPA but the limitations prevent companies from completely turning to automation.

RPA needs structured data to succeed which for many organizations is not something they process often. This leads to needing a manual process that consists of humans entering data into their system. Machine learning paired with RPA allows companies to overcome these challenges.

In this webinar, Rich Medina, Principal Consultant and Cofounder at Doculabs and Tim Kalimov, Chief Customer Officer at Hyperscience talk about how to fully maximize automation within your organization. They will cover:
-The first steps to automating your processes
-Where Machine Learning comes in and why it is so important
-How ML and RPA work together to fully automate processes
-Applying best practices at your organization
Recorded Jan 14 2021 48 mins
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Presented by
Rich Medina, Principal Consultant and Cofounder at Doculabs, Tim Kalimov, Chief Customer Officer at Hyperscience
Presentation preview: How to Maximize Automation Initiatives

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  • Scaling Your Automation Program with ML-powered Document Processing Feb 11 2021 4:30 pm UTC 62 mins
    Vinay Ghule - RPA CoE Leader at Principal Financial Group, Neeraj Nagpal - CTO at Acronotics
    According to reports, 80% to 90% of data within organizations are unstructured, and most of it is locked in scanned or printed documents. Analysts suggest that over 70% of organizations still have paper-based process dependencies, from customer applications, through contracts, to purchase orders. Even if successful in automating some of these processes away, enterprises often rely on error-prone manual processes to extract and convert the data into a usable format. This is where the need for an end-to-end document extraction, processing, and comprehension solution comes in.

    In this webinar, Vinay Ghule - RPA CoE Leader at Principal Financial Group, Max Lien - Head of Strategic Partnerships and Corporate Development at Hyperscience, and Neeraj Nagpal - CTO at Acronotics, explore how to move from RPA centric automation program to Hyper Automation with the power of ML-powered document processing solutions. We will discuss:
    - Industry trends in document processing space
    - How Principal Financial Group is approaching Intelligent Automation
    - The role of advanced technologies, such as AI and Machine Learning, in hyperautomation
    - The differences between Intelligent Document Processing (IDP) and OCR
    - Best practices and lessons learnt when initiating automation strategies
    - Tips for keeping humans in the loop
  • Minimize Manual Work and Improve CX Feb 4 2021 4:00 pm UTC 21 mins
    Courtney Halpern, Director of Implementation at Hyperscience
    Customer experience is valued across all industries and it has the power to affect companies at all levels. For a customer, nothing is worse than an inefficient and broken experience. It has become a large factor in where customers base their loyalty. Customers expect speed and efficiency. Many industries continue to struggle with the experience they provide for their customers, specifically in those two factors.

    With the advancement of technology, CX should not be lacking in the way it is. Great customer experience starts in the back office. Document processing could be a first step in transforming processes. Companies should not be letting poor internal processes and outdated manual workflow be the reason they can not provide sufficient CX.

    In this session, Courtney Halpern, Director of Implementation at Hyperscience, talks about the value of customer experience and what companies should be thinking about moving forward when approaching CX. Join us to hear about;
    -Why your company should be thinking about CX
    -The benefits of CX across multiple industries
    -How automation can help improve CX
    -A case study featuring TD Ameritrade
    -Steps your company can take to improve CX
  • Successfully Scaling Automation Initiatives Feb 2 2021 4:00 pm UTC 53 mins
    Max Lien, Head of Partnerships at Hyperscience, Ahmed Zaidi, Chief Automation Officer at Accelirate
    AI is expected to deliver $16 trillion in gains over the next decade, however, not all technologies are created equal. As organizations everywhere rethink the ways in which they operate to stay competitive, they need a strategy in place to select, implement and successfully scale these cutting-edge technologies.

    Watch Accelirate’s Chief Automation Officer and HyperScience’s Head of Partnerships for a virtual fireside chat and learn how leading organizations are navigating this crowded landscape and using RPA and AI together to automate mission-critical processes.

    During this webinar, industry insiders share:
    - Key trends they’re seeing in the automation landscape
    - How companies are using RPA and AI to automate mission-critical processes
    - Proven strategies & tips for implementing and scaling cutting-edge tech
  • Financial Services Case Study: Using Automation to Manage Influx of Documents Recorded: Jan 26 2021 16 mins
    Patricia Diaz-Hymes, Director of Product Marketing at Hyperscience
    No one was prepared for the effects COVID-19 would have on the world. Many companies continue to struggle with the high demand of services being requested by their customers. In the financial services industry, they are seeing an influx in document processing requests and the legacy technology in place is not keeping up with the demand. Banks and lenders are witnessing first hand this strained process and how it is effecting their customers.

    Recently, a large financial service company was facing a similar issue.. With the advances in automation and machine learning, companies are leaving their legacy technologies behind and turning to faster, more efficient solutions.

    In this session, Patricia Diaz-Hymes, Director of Product Marketing at Hyperscience, talks about automation and how it can assist banks with the influxes they are seeing. Join us to hear about:

    -Reasons banks and lenders are struggling to serve their customers
    -A case study on how automation has helped financial services companies
    -What an automation solution offers
    -How ML-driven document processing can reduce human interaction
    -Why a solution that can handle imperfections is critical
    -What Hyperscience does
  • Achieving New Levels of Accuracy with Intelligent Document Processing Recorded: Jan 21 2021 20 mins
    Harry Nicholson, Senior Product Manager at Blue Turtle and Nay Odutola, VP EMEA at Hyperscience
    Recent breakthroughs in AI and Machine Learning enable many organizations to automate tasks that previously required the judgement of humans. AI and its related technologies, including IDP, are creating a sea change across all industries, automating everything from employee onboarding and invoice processing, to industry-specific processes, like underwriting, mortgage applications, or insurance claims. But with the average industry accuracy rate hovering around 55%, many enterprises find themselves choosing between accuracy and automation.

    In this session, Harry Nicholson, Senior Product Manager at Blue Turtle, interviews Nay Odutola, VP EMEA at Hyperscience, to explore:

    - The role of Machine Learning and IDP in hyperautomation
    - Differences between OCR and ML-driven automation solutions
    - How to automate manual processes delivering up to 95% automation and >99.5% accuracy
    - Lessons learnt from Global 2000 companies leveraging intelligent automation
    - Best practices for keeping humans in the loop
    - Metrics for evaluating the success of your automation projects
  • Scaling Your Automation Program with ML-powered Document Processing Recorded: Jan 19 2021 62 mins
    Vinay Ghule - RPA CoE Leader at Principal Financial Group, Neeraj Nagpal - CTO at Acronotics
    According to reports, 80% to 90% of data within organizations are unstructured, and most of it is locked in scanned or printed documents. Analysts suggest that over 70% of organizations still have paper-based process dependencies, from customer applications, through contracts, to purchase orders. Even if successful in automating some of these processes away, enterprises often rely on error-prone manual processes to extract and convert the data into a usable format. This is where the need for an end-to-end document extraction, processing, and comprehension solution comes in.

    In this webinar, Vinay Ghule - RPA CoE Leader at Principal Financial Group, Max Lien - Head of Strategic Partnerships and Corporate Development at Hyperscience, and Neeraj Nagpal - CTO at Acronotics, explore how to move from RPA centric automation program to Hyper Automation with the power of ML-powered document processing solutions. We will discuss:
    - Industry trends in document processing space
    - How Principal Financial Group is approaching Intelligent Automation
    - The role of advanced technologies, such as AI and Machine Learning, in hyperautomation
    - The differences between Intelligent Document Processing (IDP) and OCR
    - Best practices and lessons learnt when initiating automation strategies
    - Tips for keeping humans in the loop
  • How to Maximize Automation Initiatives Recorded: Jan 14 2021 48 mins
    Rich Medina, Principal Consultant and Cofounder at Doculabs, Tim Kalimov, Chief Customer Officer at Hyperscience
    As companies experience a decrease in efficiency within their organization they may want to digitally transform their processes. Many will want to start with RPA but with the advancements in technology RPA by itself may not get the job done. There are many benefits of RPA but the limitations prevent companies from completely turning to automation.

    RPA needs structured data to succeed which for many organizations is not something they process often. This leads to needing a manual process that consists of humans entering data into their system. Machine learning paired with RPA allows companies to overcome these challenges.

    In this webinar, Rich Medina, Principal Consultant and Cofounder at Doculabs and Tim Kalimov, Chief Customer Officer at Hyperscience talk about how to fully maximize automation within your organization. They will cover:
    -The first steps to automating your processes
    -Where Machine Learning comes in and why it is so important
    -How ML and RPA work together to fully automate processes
    -Applying best practices at your organization
  • Successfully Scaling Automation Initiatives Recorded: Dec 17 2020 53 mins
    Max Lien, Head of Partnerships at Hyperscience, Ahmed Zaidi, Chief Automation Officer at Accelirate
    AI is expected to deliver $16 trillion in gains over the next decade, however, not all technologies are created equal. As organizations everywhere rethink the ways in which they operate to stay competitive, they need a strategy in place to select, implement and successfully scale these cutting-edge technologies.

    Watch Accelirate’s Chief Automation Officer and HyperScience’s Head of Partnerships for a virtual fireside chat and learn how leading organizations are navigating this crowded landscape and using RPA and AI together to automate mission-critical processes.

    During this webinar, industry insiders share:
    - Key trends they’re seeing in the automation landscape
    - How companies are using RPA and AI to automate mission-critical processes
    - Proven strategies & tips for implementing and scaling cutting-edge tech
  • Scaling Your Automation Program with ML-powered Document Processing Recorded: Dec 15 2020 62 mins
    Vinay Ghule - RPA CoE Leader at Principal Financial Group, Neeraj Nagpal - CTO at Acronotics
    According to reports, 80% to 90% of data within organizations are unstructured, and most of it is locked in scanned or printed documents. Analysts suggest that over 70% of organizations still have paper-based process dependencies, from customer applications, through contracts, to purchase orders. Even if successful in automating some of these processes away, enterprises often rely on error-prone manual processes to extract and convert the data into a usable format. This is where the need for an end-to-end document extraction, processing, and comprehension solution comes in.

    In this webinar, Vinay Ghule - RPA CoE Leader at Principal Financial Group, Max Lien - Head of Strategic Partnerships and Corporate Development at Hyperscience, and Neeraj Nagpal - CTO at Acronotics, explore how to move from RPA centric automation program to Hyper Automation with the power of ML-powered document processing solutions. We will discuss:
    - Industry trends in document processing space
    - How Principal Financial Group is approaching Intelligent Automation
    - The role of advanced technologies, such as AI and Machine Learning, in hyperautomation
    - The differences between Intelligent Document Processing (IDP) and OCR
    - Best practices and lessons learnt when initiating automation strategies
    - Tips for keeping humans in the loop
  • Minimize Manual Work and Improve CX Recorded: Dec 10 2020 21 mins
    Courtney Halpern, Director of Implementation at Hyperscience
    Customer experience is valued across all industries and it has the power to affect companies at all levels. For a customer, nothing is worse than an inefficient and broken experience. It has become a large factor in where customers base their loyalty. Customers expect speed and efficiency. Many industries continue to struggle with the experience they provide for their customers, specifically in those two factors.

    With the advancement of technology, CX should not be lacking in the way it is. Great customer experience starts in the back office. Document processing could be a first step in transforming processes. Companies should not be letting poor internal processes and outdated manual workflow be the reason they can not provide sufficient CX.

    In this session, Courtney Halpern, Director of Implementation at Hyperscience, talks about the value of customer experience and what companies should be thinking about moving forward when approaching CX. Join us to hear about;
    -Why your company should be thinking about CX
    -The benefits of CX across multiple industries
    -How automation can help improve CX
    -A case study featuring TD Ameritrade
    -Steps your company can take to improve CX
  • Successfully Scaling Automation Initiatives Recorded: Dec 8 2020 53 mins
    Max Lien, Head of Partnerships at Hyperscience, Ahmed Zaidi, Chief Automation Officer at Accelirate
    AI is expected to deliver $16 trillion in gains over the next decade, however, not all technologies are created equal. As organizations everywhere rethink the ways in which they operate to stay competitive, they need a strategy in place to select, implement and successfully scale these cutting-edge technologies.

    Watch Accelirate’s Chief Automation Officer and HyperScience’s Head of Partnerships for a virtual fireside chat and learn how leading organizations are navigating this crowded landscape and using RPA and AI together to automate mission-critical processes.

    During this webinar, industry insiders share:
    - Key trends they’re seeing in the automation landscape
    - How companies are using RPA and AI to automate mission-critical processes
    - Proven strategies & tips for implementing and scaling cutting-edge tech
  • Scaling Your Automation Program with ML-powered Document Processing Recorded: Dec 3 2020 63 mins
    Vinay Ghule - RPA CoE Leader at Principal Financial Group, Neeraj Nagpal - CTO at Acronotics
    According to reports, 80% to 90% of data within organizations are unstructured, and most of it is locked in scanned or printed documents. Analysts suggest that over 70% of organizations still have paper-based process dependencies, from customer applications, through contracts, to purchase orders. Even if successful in automating some of these processes away, enterprises often rely on error-prone manual processes to extract and convert the data into a usable format. This is where the need for an end-to-end document extraction, processing, and comprehension solution comes in.

    In this webinar, Vinay Ghule - RPA CoE Leader at Principal Financial Group, Max Lien - Head of Strategic Partnerships and Corporate Development at Hyperscience, and Neeraj Nagpal - CTO at Acronotics, explore how to move from RPA centric automation program to Hyper Automation with the power of ML-powered document processing solutions. We will discuss:
    - Industry trends in document processing space
    - How Principal Financial Group is approaching Intelligent Automation
    - The role of advanced technologies, such as AI and Machine Learning, in hyperautomation
    - The differences between Intelligent Document Processing (IDP) and OCR
    - Best practices and lessons learnt when initiating automation strategies
    - Tips for keeping humans in the loop
  • Financial Services Case Study: Using Automation to Manage Influx of Documents Recorded: Dec 1 2020 16 mins
    Patricia Diaz-Hymes, Director of Product Marketing at Hyperscience
    No one was prepared for the effects COVID-19 would have on the world. Many companies continue to struggle with the high demand of services being requested by their customers. In the financial services industry, they are seeing an influx in document processing requests and the legacy technology in place is not keeping up with the demand. Banks and lenders are witnessing first hand this strained process and how it is effecting their customers.

    Recently, a large financial service company was facing a similar issue.. With the advances in automation and machine learning, companies are leaving their legacy technologies behind and turning to faster, more efficient solutions.

    In this session, Patricia Diaz-Hymes, Director of Product Marketing at Hyperscience, talks about automation and how it can assist banks with the influxes they are seeing. Join us to hear about:

    -Reasons banks and lenders are struggling to serve their customers
    -A case study on how automation has helped financial services companies
    -What an automation solution offers
    -How ML-driven document processing can reduce human interaction
    -Why a solution that can handle imperfections is critical
    -What Hyperscience does
  • How to Reduce Inefficiencies in Healthcare with ML Recorded: Nov 24 2020 23 mins
    Grant Proctor, Account Executive at Hyperscience
    The healthcare industry is massive and the growth is not going to slow down any time soon. The industry itself is built on information, billions of documents are generated and moved around every day. It is critical these documents get into the right hands at the right time. As well as, the information on the documents must be recorded and transferred as accurately as possible. Currently, the inaccuracy rate for these documents is extremely high due to the manual process of entering data.

    The industry sees a wide variety of documents which is why there has not been a reliable solution to date. Though there are systems that can reduce the inefficiencies doctors and healthcare professionals are seeing. With the assistance of machine learning, the healthcare industry could see vast improvements.

    In this session, Grant Proctor, Account Executive at Hyperscience, takes a deep dive into the healthcare industry and talks about how automation could be a part of the solution. Watch to hear more about:

    -Types of documents the healthcare industry receives and why the differences are so important
    -Why the legacy tech is not working anymore for the industry
    -What this all means for key stakeholders
    -How Hyperscience is solving these issues using ML
  • Achieving New Levels of Accuracy with Intelligent Document Processing Recorded: Nov 19 2020 21 mins
    Harry Nicholson, Senior Product Manager at Blue Turtle and Nay Odutola, VP EMEA at Hyperscience
    Recent breakthroughs in AI and Machine Learning enable many organizations to automate tasks that previously required the judgement of humans. AI and its related technologies, including IDP, are creating a sea change across all industries, automating everything from employee onboarding and invoice processing, to industry-specific processes, like underwriting, mortgage applications, or insurance claims. But with the average industry accuracy rate hovering around 55%, many enterprises find themselves choosing between accuracy and automation.

    In this session, Harry Nicholson, Senior Product Manager at Blue Turtle, interviews Nay Odutola, VP EMEA at Hyperscience, to explore:

    - The role of Machine Learning and IDP in hyperautomation
    - Differences between OCR and ML-driven automation solutions
    - How to automate manual processes delivering up to 95% automation and >99.5% accuracy
    - Lessons learnt from Global 2000 companies leveraging intelligent automation
    - Best practices for keeping humans in the loop
    - Metrics for evaluating the success of your automation projects
  • Achieving New Levels of Accuracy with Intelligent Document Processing Recorded: Nov 19 2020 21 mins
    Harry Nicholson, Senior Product Manager at Blue Turtle and Nay Odutola, VP EMEA at Hyperscience
    Recent breakthroughs in AI and Machine Learning enable many organizations to automate tasks that previously required the judgement of humans. AI and its related technologies, including IDP, are creating a sea change across all industries, automating everything from employee onboarding and invoice processing, to industry-specific processes, like underwriting, mortgage applications, or insurance claims. But with the average industry accuracy rate hovering around 55%, many enterprises find themselves choosing between accuracy and automation.

    In this session, Harry Nicholson, Senior Product Manager at Blue Turtle, interviews Nay Odutola, VP EMEA at Hyperscience, to explore:

    - The role of Machine Learning and IDP in hyperautomation
    - Differences between OCR and ML-driven automation solutions
    - How to automate manual processes delivering up to 95% automation and >99.5% accuracy
    - Lessons learnt from Global 2000 companies leveraging intelligent automation
    - Best practices for keeping humans in the loop
    - Metrics for evaluating the success of your automation projects
  • How to Maximize Automation Initiatives Recorded: Nov 10 2020 49 mins
    Rich Medina, Principal Consultant and Cofounder at Doculabs, Tim Kalimov, Chief Customer Officer at Hyperscience
    As companies experience a decrease in efficiency within their organization they may want to digitally transform their processes. Many will want to start with RPA but with the advancements in technology RPA by itself may not get the job done. There are many benefits of RPA but the limitations prevent companies from completely turning to automation.

    RPA needs structured data to succeed which for many organizations is not something they process often. This leads to needing a manual process that consists of humans entering data into their system. Machine learning paired with RPA allows companies to overcome these challenges.

    In this webinar, Rich Medina, Principal Consultant and Cofounder at Doculabs and Tim Kalimov, Chief Customer Officer at Hyperscience talk about how to fully maximize automation within your organization. They will cover:
    -The first steps to automating your processes
    -Where Machine Learning comes in and why it is so important
    -How ML and RPA work together to fully automate processes
    -Applying best practices at your organization
The Automation Company
Hyperscience modernizes mission-critical processes and operations for Global 2000 organizations and governments. Since 2014, Hyperscience’s automation technology has helped data-centric companies parse through vast amounts of unstructured inputs and raw information to get to swifter and smarter business outcomes. Through the Hyperscience Platform, enterprises are empowered to transform their operations, and drive operational efficiency as well as human productivity by fully unlocking the power of their data. Ranked on the Inc. Fastest-Growing Company List, Hyperscience has raised $190M+ from investors including Tiger Global, BOND, Bessemer Venture Partners, Stripes, and FirstMark. The company has a global footprint with offices in New York City, Sofia, Bulgaria, and London, UK. For more information please visit www.hyperscience.com.

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  • Title: How to Maximize Automation Initiatives
  • Live at: Jan 14 2021 4:00 pm
  • Presented by: Rich Medina, Principal Consultant and Cofounder at Doculabs, Tim Kalimov, Chief Customer Officer at Hyperscience
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