Name: How to Reduce Inefficiencies in Healthcare with ML
Start: 2021-07-14T14:00:00Z
End: 2021-07-14T14:00:23.000Z
Location: BrightTALK
Rating: 0

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.

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

How to Maximize Automation Initiatives

Machine Learning and Automation are accelerating at a pace we’ve yet to really comprehend. When it comes to rapidly-evolving technologies, we are presented with an apparent and serious conflict: the enrichment of some people’s lives will come at the expense of others. Must that tradeoff exist? How do organizations and executives stay in tune with human values and ensure automation augments the workforce? How does improving the well-being of your employees impact your customer service?

Putting Customers First by Putting Employees First

Oubliez tout ce que vous connaissez de l’automatisation de la lecture des documents avec Hyperscience.

Vous avez une problématique autour de vos documents pour laquelle vous n’avez pas encore trouvé de solution satisfaisante?

Ou vous souhaitez ajouter une solution innovante à proposer à vos clients?

Ce webinar vous est dédié!

Hyperscience vous permet de simplifier vos processus quelle que soit la qualité des documents (écriture illisible, lignes de fax, caractères en dehors des cases, photo de smartphone…) avec les niveaux d’automatisation et de précision les plus élevés du marché (+99%) même sur le manuscrit. 

Notre solution utilise l'apprentissage automatique (Machine Learning)  pour traiter les documents et prend en charge les étapes de capture, de classification, de séparation et de déduplication des données en suivant une approche inédite et propriétaire.


Lors de ce webinar de 30 minutes : 
- Charlie Newark- French, notre COO vous parlera des enjeux d’Hyperscience sur la région EMEA
- Assistez à une démo concrète (effet woaou garanti!)
- Rencontrez notre équipe francophone (Commerciale, Partenaires et Technique)
- Posez-nous toutes vos questions

Comment Hyperscience révolutionne le marché de la dématérialisation de documents

Dans votre domaine, la précision fait toute la différence.
Qu’il s’agisse de demander un nouveau service, de traiter une facture ou de traiter une réclamation urgente, vos clients et partenaires attendent des résultats rapides et fiables ; c’est pourquoi vous devrez nécessairement transformer votre infrastructure logicielle pour simplifier et automatiser le processus d’extraction de données.
La première étape pour automatiser tout processus consiste à obtenir des données fiables, et très souvent les entreprises privées ou publiques, quel que soit leur secteur d'activité, doivent se doter d’outils suffisamment fiables pour permettre d’automatiser entièrement le traitement de leurs documents.
Lors de ce webinar :
          - découvrez comment : 
                    - Hyperscience et GEDOC-CI peuvent vous permettre de simplifier ce processus quelle que soit la qualité des documents (écritures illisibles, lignes de fax, caractères en dehors des cases…) avec les niveaux de précision les plus élevés du marché (99%). 
                     - Notre solution utilise l'apprentissage automatique (Machine Learning)  pour traiter les documents et prend en charge les étapes de capture de classification, de séparation et de déduplication des données en suivant une approche inédite et propriétaire.

          - Assistez à une démo concrète 
          - Posez toutes vos questions 

Nous avons hâte de vous y voir !

Automatiser la lecture des documents

Hyperautomation - Wie wird aus Hype Realität? 
Nice & Hyperscience zeigen in diesem Webinar, wie Sie mithilfe von RPA und Machine Learning neue Automatisierungspotentiale durch End-to-End Automatisierung heben können. Wir zeigen an einem Beispiel die Digitalisierung des Dateneingangs z.B. anhand einer Rechnung und einem handschriftlichem Antrag welcher anschließend mit einem RPA Roboter von Nice im Downstream System verarbeitet werden. So können Prozesse End-to-End automatisiert und Rechnungen unter einem bestimmten schwellwert zB. automatisiert verarbeitet und bezahlt werden. 
Arbeiten Sie mit Legacy OCR Lösungen? 
Denken Sie über den Einsatz einer RPA Lösung nach? 
Sind Sie auf der Suche nach neuen Potentialen für Ihre bestehende RPA Lösung?
Dann sind Sie bei diesem Webinar richtig!

Hyperautomation - Schriftverkehr Digitalisierung mit End-to-End Automation

“Automate to dominate” is the modus operandi within insurance companies now, with a revolution in underwriting and submissions well underway. Consumers demand a transparent, digitized, personalised insurance buying experience equal to that of which they’ve become accustomed to with popular online retailers. For insurance companies slow to embrace change or digitisation, there is a real risk of becoming an industry laggard and losing customers and market share to more progressive competitors.

But how are large insurers articulating and operating against their digital transformation agendas? What is the best way to find, evaluate and implement solutions to automate submissions and underwriting? Register for this upcoming webinar to find out.

You’ll hear from:
- Steve Robinson, Chief Distribution Officer, Bestow Life Insurance
- Crystal McQueen, Divisional Assistant Vice President, Great American Insurance Group
- George Beattie, Head of Incubation Underwriting, Beazley
- Charlie Newark-French, Chief Operating Officer, Hyperscience
- Moderator: Jacob Abboud, Managing Partner & Founder, Petraenovus Consulting

And you’ll find out how to:
- Free up critical employee resources to focus on delivering more innovative products and services
- Develop modern underwriting practices while protecting data and customers
- Unlock accurate, actionable data to make swifter and smarter underwriting decisions and improve customer experience
- Get advice on how to choose an automation solution that balances speed with quality, including mechanisms for bringing “humans-in-the-loop” to supervise machines

Automate Underwriting to Reinvent Customer Experience and Drive Business Growth

Lernen Sie wie Wefox Insurance mithilfe von KI den Dateneingang automatisiert und somit die Onboarding Zeit von neuen Kunden deutlich verkürzt. Hyperscience unterstützt wefox Insurance dabei automatisiert Daten von Versicherungspolicen zu extrahieren und diese automatisiert zu vergleichen. Dies spart Zeit und Kosten bei der Validierung ein und neue Policen können schneller erstellt werden, was zu einer höheren Kundenzufriedenheit führt. 

Ihre Referenten :
Tamara Ries, Wefox
Dominic Erdtmann, Hyperscience
Thomas Wagner, Hyperscience

Digitalisierung des Dateneingangs mithilfe von Künstlicher Intelligenz

Dans le secteur de l’assurance, l'échange de documents est de plus en plus éparse dans le cadre de la relation client : adhésion, déclaration de sinistres...
En effet :
+25 % des organisations gèrent des formulaires et documents contenant des données manuscrites durant leurs processus métier clés
+45 % des organisations utilisent des formulaires pour recueillir des informations et la moitié des formulaires contiennent des données manuscrites
Le traitement de ces documents ralentit le processus de gestion : formulaires, relevés, attestations, photos, etc.
La numérisation avec les appareils mobiles et l'écriture manuscrite restent donc incontournables dans beaucoup de processus comme la déclaration de certains sinistres.
La complexité, sur le marché de l’assurance (traditionnelle ou entièrement digitale), réside dans le besoin d'être de plus en plus rapide dans le traitement et la gestion des documents entrants, tout en améliorant toujours plus la qualité du service client. Pour un assureur, la charge de gestion représente 15 à 20% du coût du sinistre.
Dans ce webinar, Arondor et Hyperscience vous aideront à :
Comprendre les bénéfices de l'automatisation du traitement des documents entrants pour le client/assuré/adhérent mais aussi pour l’entreprise en charge du back-office durant tout le workflow
Découvrir comment Hyperscience avec son Intelligence Artificielle et Machine Learning propriétaire permet d’automatiser à plus de 97% l’extraction des données des documents de réclamations quels que soient leur nature, format, résolution et avec une écriture scripte ou cursive, jusqu'à 98% de précision des données extraites automatiquement
Gérer, au delà de l’extraction des données, la circulation des dossiers vers les agents et superviser de manière proactive grâce au machine learning
Construire un service Cloud de traitement des constats amiables basé sur les technologies Hyperscience
Et pour finir, une démo concrète et complète !

Comment intégrer le manuscrit au coeur de vos processus digitaux

Changing market dynamics are driving an automation revolution within an insurance marketplace that competes on two key factors: cost and customer experience. The ability for insurance companies to deliver on this (faster service, greater transparency, increased control) begins with data.

Yet, the insurance industry today continues to struggle with the first mile of data processing, relying on a complex patchwork of outdated, legacy technology and cumbersome, manual processes. This creates an informational and operational bottleneck that affects all downstream processes, preventing customers from getting the experience they deserve and putting an insurance organization’s competitive position in jeopardy.

Insurance leaders everywhere are rethinking their existing operations, leveraging the latest technologies to reduce manual work, streamline processes, unlock employee capacity, and enhance overall customer experience. Intelligent automation technologies that utilize Artificial Intelligence (AI) and Machine Learning (ML) are becoming the critical driver to higher quality data and faster, more reliable insurance processing and decision-making – whether that’s handling a claim or processing an application.

Watch this webinar to gain insight into the cutting-edge technologies being used by insurers to streamline claims processing and improve customer experience. Change is always a challenge, and it takes time to fully integrate new tech. But by focusing on some of the tips and best practices mentioned here by these experts, you can help your firm become more agile and responsive to future needs. 

Taking part in the discussion are:
• Mario Riccò, Head of Group Claims, Generali
• Liz Ryan, Head of Claims Performance & Insights, Zurich
• Joël Farvault, Head of Data Analytics and Data Innovation, AXA
• Patricia Diaz, Director of Product Marketing, Hyperscience
• Moderator: Wyn Jenkins, Managing Editor, Intelligent Insurer

Integrate AI and Machine Learning into the Claims Process to Unlock Efficiencies

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

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

Minimize Manual Work and Improve CX

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

How to Reduce Inefficiencies in Healthcare with ML

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

Successfully Scaling Automation Initiatives

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

Financial Services Case Study: Using Automation to Manage Influx of Documents

Changing market dynamics are driving an automation revolution within an insurance marketplace that competes on two key factors: cost and customer experience. The ability for insurance companies to deliver on this (faster service, greater transparency, increased control) begins with data.

Yet, the insurance industry today continues to struggle with the first mile of data processing, relying on a complex patchwork of outdated, legacy technology and cumbersome, manual processes. This creates an informational and operational bottleneck that affects all downstream processes, preventing customers from getting the experience they deserve and putting an insurance organization’s competitive position in jeopardy.

Insurance leaders everywhere are rethinking their existing operations, leveraging the latest technologies to reduce manual work, streamline processes, unlock employee capacity, and enhance overall customer experience. Intelligent automation technologies that utilize Artificial Intelligence (AI) and Machine Learning (ML) are becoming the critical driver to higher quality data and faster, more reliable insurance processing and decision-making – whether that’s handling a claim or processing an application.

In this webinar we will: 
-  Share insight into the cutting-edge technologies being used by insurers to streamline claims processing 
-  Teach you how to leverage these technologies to improve customer experience
-  Share tips and best practices from experts in the field on becoming more agile

Taking part in the discussion are:
• Mario Riccò, Head of Group Claims, Generali
• Liz Ryan, Head of Claims Performance & Insights, Zurich
• Joël Farvault, Head of Data Analytics and Data Innovation, AXA
• Patricia Diaz, Director of Product Marketing, Hyperscience
• Moderator: Wyn Jenkins, Managing Editor, Intelligent Insurer

Artificial Intelligence

Automation

Best Practice

Document Process

Healthcare Marketing

Machine Learning

Process Automation

Robotic Process Automation

Software Defined

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How to Reduce Inefficiencies in Healthcare with ML

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