Looking to make your document processing operations more effective and cost-efficient with AI/ML? Learn from the experts of Provectus and Amazon Web Services (AWS) how to choose the right solution for your company! We will look into the management and engineering perspectives of AI document processing, from industry use cases and the solution map to our unique methodology for assessing available document processing solutions to Provectus IDP. Whether you are looking for a ready-made solution or you plan to build a custom solution of your own, this webinar will help you find the best option for your business.
Agenda
- Introductions
- Industry use cases
- Intelligent Document Processing (IDP) overview
- IDP Solutions map
- AWS IDP Solution
- Provectus IDP Platform
- Q&A
Intended Audience
Technology executives and decision makers, including such roles as CIO, CCO, COO, and CDO; digital transformation managers; data and ML engineers.
Presenters
Almir Davletov, IDP Subject Matter Expert, Provectus
Yaroslav Tarasyuk, Business Development, Provectus
Sonali Sahu, Sr. Solutions Architect, AWS
Interested? Learn more about Provectus Intelligent Document Processing Solution: https://provectus.com/document-processing-solution/
Intelligent Document Processing in Healthcare. Choosing the Right Solutions.Provectus
Healthcare organizations generate piles of documents and forms in different formats, making it difficult to achieve operational excellence and streamline business processes. Manual entry and OCR are no longer viable, and healthcare entities are looking for new solutions to handle documents.
In this presentation you can learn about:
- Healthcare document types and use cases
- IDP framework: building blocks for document processing solutions
- The document processing market landscape
- Methodology for solution evaluation: comparing apples to apples
Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
Canadian Experts Discuss Modern Data Stacks and Cloud Computing for 5 Years o...Daniel Zivkovic
Two #ModernDataStack talks and one DevOps talk: https://youtu.be/4R--iLnjCmU
1. "From Data-driven Business to Business-driven Data: Hands-on #DataModelling exercise" by Jacob Frackson of Montreal Analytics
2. "Trends in the #DataEngineering Consulting Landscape" by Nadji Bessa of Infostrux Solutions
3. "Building Secure #Serverless Delivery Pipelines on #GCP" by Ugo Udokporo of Google Cloud Canada
We ran out of time for the 4th presenter, so the event will CONTINUE in March... stay tuned! Compliments of #ServerlessTO.
Pysyvästi laadukasta masterdataa SmartMDM:n avullaBilot
1.9.2016 aamiaistilaisuuden esitys.
Mitäpä jos valjastaisit koko organisaatio masterdatan ylläpitoon? Hallitsisit hajauttamalla? Uudistunut SmartMDM tuo käyttöösi hallinnan, Microsoft SQL Server Master Data Services (MDS) keskityksen.
Lisää tapahtumiamme sivustollamme: http://www.bilot.fi/en/events/
Intelligent Document Processing in Healthcare. Choosing the Right Solutions.Provectus
Healthcare organizations generate piles of documents and forms in different formats, making it difficult to achieve operational excellence and streamline business processes. Manual entry and OCR are no longer viable, and healthcare entities are looking for new solutions to handle documents.
In this presentation you can learn about:
- Healthcare document types and use cases
- IDP framework: building blocks for document processing solutions
- The document processing market landscape
- Methodology for solution evaluation: comparing apples to apples
Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
Canadian Experts Discuss Modern Data Stacks and Cloud Computing for 5 Years o...Daniel Zivkovic
Two #ModernDataStack talks and one DevOps talk: https://youtu.be/4R--iLnjCmU
1. "From Data-driven Business to Business-driven Data: Hands-on #DataModelling exercise" by Jacob Frackson of Montreal Analytics
2. "Trends in the #DataEngineering Consulting Landscape" by Nadji Bessa of Infostrux Solutions
3. "Building Secure #Serverless Delivery Pipelines on #GCP" by Ugo Udokporo of Google Cloud Canada
We ran out of time for the 4th presenter, so the event will CONTINUE in March... stay tuned! Compliments of #ServerlessTO.
Pysyvästi laadukasta masterdataa SmartMDM:n avullaBilot
1.9.2016 aamiaistilaisuuden esitys.
Mitäpä jos valjastaisit koko organisaatio masterdatan ylläpitoon? Hallitsisit hajauttamalla? Uudistunut SmartMDM tuo käyttöösi hallinnan, Microsoft SQL Server Master Data Services (MDS) keskityksen.
Lisää tapahtumiamme sivustollamme: http://www.bilot.fi/en/events/
Gluon Consulting - Specialized Software Development for FinanceDennis Cabarroguis
Gluon offers specialized software development and consultancy services for fintechs and financial services SMEs.
Our unique delivery model combines London based analysis, project management and QA with delivery from our team of talented developers in the Philippines.
Results, service and care levels are those you would expect from the best front-office tech teams in London, New York and Silicon Valley. Costs? Refreshingly close to your average total outsourcing initiative, but without the risk and the hassle.
OVER 40 YEARS OF EXPERIENCE IN LONDON
Our core team members are veteran software consultants and enterprise architects with a combined 40 years of experience writing high-performance, robust and scalable software for some of the world's largest financial organizations and independent technology providers.
TECH BEFORE FINTECH
In our journeys, we built trading and portfolio analytics platforms, distributed and parallel calculation and workflow engines, high volume messaging middleware, dashboards with advanced interaction and visualization features. We did numerical and statistical computing, machine learning and semantic processing.
We produced real-time, interactive scenario analysis for one of the most profitable trading desks on the planet. We helped e-commerce and brokerage companies to scale their operations without breaking a sweat. We contributed to pioneering robotics and field automation platforms before IoT and event streams were cool.
For more info, please contact
Dennis Cabarroguis
dennis.cabarroguis@gluonconsulting.com
GraphSummit - Process Tempo - Build Graph Applications.pdfNeo4j
Neo4j offers a powerful platform for developing digital twins and advanced graph data science use cases. Process Tempo accelerates these efforts with a native Neo4j, no-code development environment that combines data visualization with advanced workflow. Learn how the combination of these features can open new value streams for your Neo4j graph investment.
No Code Data Transformation for Insurance with Altair MonarchAltair
Altair Monarch is the fastest and easiest way to extract data from dark, semi-structured sources like PDFs, spreadsheets, and text files, as well as from Big Data and other structured sources. Monarch cleans, transforms, blends, and enriches data with an easy-to-use interface free of coding and scripting. For 30 years Monarch has helped insurers worldwide save time and money by enabling people of different skill sets to transform data quickly and precisely for efficient analysis around calculating premiums, identifying fraudulent claims, optimizing customer retention strategies, and more.
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
The Information Governance Headache - SharePoint ECMGareth Fisher
Extending the capabilities of SharePoint with a robust ECM Platform. Webinar is given with SharePoint 2010/2013 and OpenText Content Server with the Application Governance and Archiving tool.
Key Considerations While Rolling Out Denodo PlatformDenodo
Watch full webinar here: https://bit.ly/3zaPGLO
Our approach for data virtualization advisory takes the following 3 dimensions/areas into consideration:
- Technology / Architecture
- Business User Groups (your clients)
- IT Organization
To deliver quick results, Q-PERIOR uses a multitude of accelerators in predefined topics within these three dimensions. In our presentation we will elaborate on client examples why such an exercise makes sense before rolling out Denodo and what kind of risks you can avoid doing so.
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Denodo
Watch full webinar here: https://bit.ly/2O9gcBT
Denodo 8 expands data integration and management to data fabric with advanced data virtualization capabilities. What are they? Denodo CTO Alberto Pan will touch upon the key Denodo 8 capabilities.
Introducing Camunda can significantly support your organization's digital transformation. We want to discuss how IT executives can systematically leverage this potential and which pitfalls should be observed.
MLOps and Data Quality: Deploying Reliable ML Models in ProductionProvectus
Looking to build a robust machine learning infrastructure to streamline MLOps? Learn from Provectus experts how to ensure the success of your MLOps initiative by implementing Data QA components in your ML infrastructure.
For most organizations, the development of multiple machine learning models, their deployment and maintenance in production are relatively new tasks. Join Provectus as we explain how to build an end-to-end infrastructure for machine learning, with a focus on data quality and metadata management, to standardize and streamline machine learning life cycle management (MLOps).
Agenda
- Data Quality and why it matters
- Challenges and solutions of Data Testing
- Challenges and solutions of Model Testing
- MLOps pipelines and why they matter
- How to expand validation pipelines for Data Quality
AI Stack on AWS: Amazon SageMaker and BeyondProvectus
Looking to learn more about AWS AI stack? Join experts from Provectus & AWS to find out how to use Amazon SageMaker (with combination with other tools and services) to enable enterprise-wide AI.
Companies are looking to scale and become more productive when it comes to AI and data initiatives. They seek to launch AI projects more rapidly, which, among many other factors, requires a robust machine learning infrastructure. In this webinar, you will learn how to create a canonical SageMaker workflow, expand the SageMaker workflow to a holistic implementation, enhance and expand the implementation using best practices for feature store, data versioning, ML pipeline orchestration, and model monitoring.
Agenda
- Introductions
- Amazon SageMaker Overview
- Real-World Use Case
- Data Lake for Machine Learning
- Amazon SageMaker Experiments
- Orchestration Beyond SageMaker Experiments
- Amazon SageMaker Debugger
- Amazon SageMaker Model Monitor
- Webinar Takeaways
Intended audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Pritpal Sahota, Technical Account Manager, Provectus
- Christopher A. Burns, Sr. AI/ML Solution Architect, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/ai-stack-on-aws-sagemaker-and-beyond-mar-2020/
Gluon Consulting - Specialized Software Development for FinanceDennis Cabarroguis
Gluon offers specialized software development and consultancy services for fintechs and financial services SMEs.
Our unique delivery model combines London based analysis, project management and QA with delivery from our team of talented developers in the Philippines.
Results, service and care levels are those you would expect from the best front-office tech teams in London, New York and Silicon Valley. Costs? Refreshingly close to your average total outsourcing initiative, but without the risk and the hassle.
OVER 40 YEARS OF EXPERIENCE IN LONDON
Our core team members are veteran software consultants and enterprise architects with a combined 40 years of experience writing high-performance, robust and scalable software for some of the world's largest financial organizations and independent technology providers.
TECH BEFORE FINTECH
In our journeys, we built trading and portfolio analytics platforms, distributed and parallel calculation and workflow engines, high volume messaging middleware, dashboards with advanced interaction and visualization features. We did numerical and statistical computing, machine learning and semantic processing.
We produced real-time, interactive scenario analysis for one of the most profitable trading desks on the planet. We helped e-commerce and brokerage companies to scale their operations without breaking a sweat. We contributed to pioneering robotics and field automation platforms before IoT and event streams were cool.
For more info, please contact
Dennis Cabarroguis
dennis.cabarroguis@gluonconsulting.com
GraphSummit - Process Tempo - Build Graph Applications.pdfNeo4j
Neo4j offers a powerful platform for developing digital twins and advanced graph data science use cases. Process Tempo accelerates these efforts with a native Neo4j, no-code development environment that combines data visualization with advanced workflow. Learn how the combination of these features can open new value streams for your Neo4j graph investment.
No Code Data Transformation for Insurance with Altair MonarchAltair
Altair Monarch is the fastest and easiest way to extract data from dark, semi-structured sources like PDFs, spreadsheets, and text files, as well as from Big Data and other structured sources. Monarch cleans, transforms, blends, and enriches data with an easy-to-use interface free of coding and scripting. For 30 years Monarch has helped insurers worldwide save time and money by enabling people of different skill sets to transform data quickly and precisely for efficient analysis around calculating premiums, identifying fraudulent claims, optimizing customer retention strategies, and more.
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
The Information Governance Headache - SharePoint ECMGareth Fisher
Extending the capabilities of SharePoint with a robust ECM Platform. Webinar is given with SharePoint 2010/2013 and OpenText Content Server with the Application Governance and Archiving tool.
Key Considerations While Rolling Out Denodo PlatformDenodo
Watch full webinar here: https://bit.ly/3zaPGLO
Our approach for data virtualization advisory takes the following 3 dimensions/areas into consideration:
- Technology / Architecture
- Business User Groups (your clients)
- IT Organization
To deliver quick results, Q-PERIOR uses a multitude of accelerators in predefined topics within these three dimensions. In our presentation we will elaborate on client examples why such an exercise makes sense before rolling out Denodo and what kind of risks you can avoid doing so.
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Denodo
Watch full webinar here: https://bit.ly/2O9gcBT
Denodo 8 expands data integration and management to data fabric with advanced data virtualization capabilities. What are they? Denodo CTO Alberto Pan will touch upon the key Denodo 8 capabilities.
Introducing Camunda can significantly support your organization's digital transformation. We want to discuss how IT executives can systematically leverage this potential and which pitfalls should be observed.
MLOps and Data Quality: Deploying Reliable ML Models in ProductionProvectus
Looking to build a robust machine learning infrastructure to streamline MLOps? Learn from Provectus experts how to ensure the success of your MLOps initiative by implementing Data QA components in your ML infrastructure.
For most organizations, the development of multiple machine learning models, their deployment and maintenance in production are relatively new tasks. Join Provectus as we explain how to build an end-to-end infrastructure for machine learning, with a focus on data quality and metadata management, to standardize and streamline machine learning life cycle management (MLOps).
Agenda
- Data Quality and why it matters
- Challenges and solutions of Data Testing
- Challenges and solutions of Model Testing
- MLOps pipelines and why they matter
- How to expand validation pipelines for Data Quality
AI Stack on AWS: Amazon SageMaker and BeyondProvectus
Looking to learn more about AWS AI stack? Join experts from Provectus & AWS to find out how to use Amazon SageMaker (with combination with other tools and services) to enable enterprise-wide AI.
Companies are looking to scale and become more productive when it comes to AI and data initiatives. They seek to launch AI projects more rapidly, which, among many other factors, requires a robust machine learning infrastructure. In this webinar, you will learn how to create a canonical SageMaker workflow, expand the SageMaker workflow to a holistic implementation, enhance and expand the implementation using best practices for feature store, data versioning, ML pipeline orchestration, and model monitoring.
Agenda
- Introductions
- Amazon SageMaker Overview
- Real-World Use Case
- Data Lake for Machine Learning
- Amazon SageMaker Experiments
- Orchestration Beyond SageMaker Experiments
- Amazon SageMaker Debugger
- Amazon SageMaker Model Monitor
- Webinar Takeaways
Intended audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Pritpal Sahota, Technical Account Manager, Provectus
- Christopher A. Burns, Sr. AI/ML Solution Architect, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/ai-stack-on-aws-sagemaker-and-beyond-mar-2020/
Feature Store as a Data Foundation for Machine LearningProvectus
Looking to design and build a centralized, scalable Feature Store for your Data Science & Machine Learning teams to take advantage of? Come and learn from experts of Provectus and Amazon Web Services (AWS) how to!
Feature Store is a key component of the ML stack and data infrastructure, which enables feature engineering and management. By having a Feature Store, organizations can save massive amounts of resources, innovate faster, and drive ML processes at scale. In this webinar, you will learn how to build a Feature Store with a data mesh pattern and see how to achieve consistency between real-time and training features, to improve reproducibility with time-traveling for data.
Agenda
- Modern Data Lakes & Modern ML Infrastructure
- Existing and Emerging Architectural Shifts
- Feature Store: Overview and Reference Architecture
- AWS Perspective on Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data architects & analysts, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Gandhi Raketla, Senior Solutions Architect, AWS
- German Osin, Senior Solutions Architect, Provectus
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-feature-store-as-data-foundation-for-ml-nov-2020/
MLOps and Reproducible ML on AWS with Kubeflow and SageMakerProvectus
Looking to implement MLOps using AWS services and Kubeflow? Come and learn about machine learning from the experts of Provectus and Amazon Web Services (AWS)!
Businesses recognize that machine learning projects are important but go beyond just building and deploying models, which is mostly done by organizations. Successful ML projects entail a complete lifecycle involving ML, DevOps, and data engineering and are built on top of ML infrastructure.
AWS and Amazon SageMaker provide a foundation for building infrastructure for machine learning while Kubeflow is a great open source project, which is not given enough credit in the AWS community. In this webinar, we show how to design and build an end-to-end ML infrastructure on AWS.
Agenda
- Introductions
- Case Study: GoCheck Kids
- Overview of AWS Infrastructure for Machine Learning
- Provectus ML Infrastructure on AWS
- Experimentation
- MLOps
- Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Qingwei Li, ML Specialist Solutions Architect, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-mlops-and-reproducible-ml-on-aws-with-kubeflow-and-sagemaker-aug-2020/
Cost Optimization for Apache Hadoop/Spark Workloads with Amazon EMRProvectus
Considering new ways and options for reducing operational costs and scaling flexibility of your Apache Hadoop/Spark? Try migrating to Amazon EMR!
On-premises Apache Hadoop/Spark clusters are among the top sources of financial pressure for businesses. IT organizations want to reduce spend while still meeting demand, to keep their legacy data applications up and running. Come and learn from experts at Provectus & AWS how you can use Amazon EMR to start driving cost efficiencies in your organization!
Agenda
- Hadoop market and cost optimizations using Amazon EMR
- Cost related and other challenges of on-prem Hadoop clusters
- Cost optimizations by using Amazon EMR and migration best practices
Intended audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Pritpal Sahota, Technical Account Manager, Provectus
- Nirav Shah, Senior Solutions Architect, AWS
- Perry Peterson, Business Development Manager, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/cost-optimization-for-apache-hadoop-spark-workloads-with-amazon-emr-june-2020/
ODSC webinar "Kubeflow, MLFlow and Beyond — augmenting ML delivery" Stepan Pu...Provectus
What's a machine learning workflow? What open source tools can you use to automate ML workflow?
Reproducible ML pipelines in research and production with monitoring insights from live inference clusters could enable and accelerate the delivery of AI solutions for enterprises. There is a growing ecosystem of tools that augment researchers and machine learning engineers in their day to day operations.
Still, there are big gaps in the machine learning workflow when it comes to training dataset versioning, training performance and metadata tracking, integration testing, inferencing quality monitoring, bias detection, concept drift detection and other aspects that prevent the adoption of AI in organizations of all sizes.
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: "Building a Modern Data platform in the Cloud"
Speaker: Alex Casalboni, AWS Technical Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/HIDnAG9AxZo
"How to build a global serverless service", Alex Casalboni, AWS Dev Day Kyiv ...Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "How to build a global serverless service"
Speaker: Alex Casalboni, AWS Technical Evangelist
Level: 400
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/Q19B-NTkMfk
"Automating AWS Infrastructure with PowerShell", Martin Beeby, AWS Dev Day Ky...Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: "Automating AWS Infrastructure with PowerShell"
Speaker: Martin Beeby, AWS Principle Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/rgIjjK2J4dQ
"Analyzing your web and application logs", Javier Ramirez, AWS Dev Day Kyiv 2...Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: "Analyzing your web and application logs"
Speaker: Javier Ramirez, AWS Technical Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/IpEhEs1sXeg
"Resiliency and Availability Design Patterns for the Cloud", Sebastien Storma...Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: "Resiliency and Availability Design Patterns for the Cloud"
Speaker: Sebastien Stormacq, AWS Technical Evangelist
Level: 400
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/O8gonQCJawU
"Architecting SaaS solutions on AWS", Oleksandr Mykhalchuk, AWS Dev Day Kyiv ...Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: ""Architecting SaaS solutions on AWS""
Speaker: Oleksandr Mykhalchuk, Director of DevOps & Cloud Services at Softserve
Level: 300
Video: https://youtu.be/3lKoe-ts8Qs
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
"Developing with .NET Core on AWS", Martin Beeby, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "Developing with .NET Core on AWS"
Speaker: Martin Beeby, AWS Principle Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/OzM8L7H1LmA
"How to build real-time backends", Martin Beeby, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: "How to build real-time backends"
Speaker: Martin Beeby, AWS Principle Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/bsZYA6V3bDA
"Integrate your front end apps with serverless backend in the cloud", Sebasti...Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "Integrate your front end apps with serverless backend in the cloud"
Speaker: Sebastien Stormacq, AWS Technical Evangelist
Level: 200
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=6z43H11qoU8&t=1s
"Scaling ML from 0 to millions of users", Julien Simon, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: ""Scaling ML from 0 to millions of users""
Speaker: Julien Simon, Global AI & Machine Learning Evangelist at AWS
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=N73u1mx9DqY
How to implement authorization in your backend with AWS IAMProvectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: ""How to implement authorization in your backend with AWS IAM""
Speaker: Stas Ivaschenko, AWS solutions architect at Provectus
Level: 400
Video: https://www.youtube.com/watch?v=4Jje_WJ4V7Q
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
"
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Choosing the Right Document
Processing Solution
Presented by:
Almir Davletov, IDP Subject Matter Expert @ Provectus
Yaroslav Tarasyuk, Business Development @ Provectus
Sonali Sahu, Sr. Solutions Architect @ AWS
2. 1. Provide an overview of the market for document processing solutions
2. Outline critical factors for choosing the right document processing solution
for your business use case
1. Strategize on whether you should look for a ready-made solution to purchase,
or to build a custom solution of your own
1. Get qualified for the Provectus IDP Solution Discovery Program
Webinar Objectives
4. Major Business Drivers
Companies are looking to adopt IDP solutions to unlock insights from semi-structured and unstructured
documents to improve operational efficiency and strategic outcomes.
Major business drivers of IDP adoption are:
1. Reduce costs of document processing
2. Increase accuracy and speed of processing
3. Improve strategic business outcomes by providing actionable insights for increased customer
satisfaction & employee productivity
4. Potential synergy by integrating IDP solutions with RPA or BPM solutions
5. Technology Consulting
& Professional Services
650+ Employees
● US, Canada, LATAM, Europe
Competencies
● AWS Premier Partner
● AI/ML, Big Data & Analytics
● DevOps, Cloud Migration
Industry Focus
● Healthcare & Life
Sciences
● CPG, Retail & Ecommerce
● Manufacturing
● Public Sector
AI Solutions
● Crystal: Customer 360 Personalization
● IDP: Intelligent Document Processing
● Real-Time Video Analytics
● Fraud Detection
Foundation & Accelerators
● NextGen Data Lake
● MLOps Infrastructure
Open-Source Leadership
● Kubernetes, Kubeflow
● UI for Apache Kafka
● ODD: Open Data Discovery
Spec & Platform
Provectus’ mission is to leverage cloud, data and AI to reimagine the way
businesses operate, compete, and deliver customer value
6. Documents are everywhere
1 2 3 4
structured semi-structured unstructured handwritten
Legal
● Contracts
Banking & Finance
● Bank & income
statements
● Insurance claims
● Invoices & contracts
Healthcare
● Patient onboarding
● Medical records
● Claim-related
documents
Supply Chain
● Shipping labels
● Proof of delivery
● Bill of lading
Manufacturing
● Purchase orders
● Change requests
● QA records
Human Resources
● Employee
onboarding
Government
● Immigration
applications
● Tax assessment
forms
Telecoms
● Maintenance logs
● Driver logs
7. OCR converts images of documents into plain
text and extracts specific fields based on
templates, regular expressions, etc.
It uses rule-based or template-based
extraction. User needs to configure the
templates for each document type
Every converted document needs to be
manually reviewed, unless the input documents
are standard (in quality, positional elements,
etc.)
Cannot process unstructured documents such
as contracts and emails
It may use OCR to convert images of documents
to a digital format, but extracts specific
information using machine or deep learning
algorithms
The extraction does not depend on the template
but content. User needs to do minimal (if any)
training for minor template changes
Once the system is trained, Straight Through
Processing (STP) can be partially enabled. Human
interaction is reduced to minimum
Using Natural Language Processing (NLP) models,
IDP can extract specific information from complex
unstructured documents
OCR and template-based solutions IDP Solutions
Compare OCR and IDP
8. General goal is to spot main entities
in the document (paragraphs, forms,
tables, etc.) and then successfully
identify written text in them
(segmentation and OCR).
IDP Components: OCR/CV
9. Context search on data from OCR + segmentation
Forms and tables greatly impact overall performance. Data extraction from forms is resolved
efficiently (due to a straightforward key-value structure), but tables are still being a pain point
for all the data extractors. For unstructured texts, deep networks are a solution at this point. E.g.
ReLIE or GPT-like models are good for finding key-value (question / answer) pairs in the context
of the unstructured documents.
OCR +
Segmentation
Users input
Semi-structured
data
Query
Context
search
Structured
answers
IDP Components: Data Extraction
10. Evaluation of the document processing
model is a task in progress.
Results with a low-confidence score
and missing information
are forwarded to human experts.
Samples of successfully extracted
information are also forwarded to
human experts for evaluation.
IDP Components: Evaluation and Monitoring
11. S3, RDS, ElasticSearch
Input documents are usually stored as is in
a Data Lakes, application data and metadata -
in RDS, discoverable output results -
in ElasticSearch.
But depending on the industry, storage layer
can get more complicated. For example, FHIR
data format in the healthcare industry requires
careful design and implementation of the data
storage.
IDP Components: Storage
12. Automation encapsulates all the processes outlined previously
and unites them into one single product, featuring:
● Document capture
● ML model lifecycle
○ Labeling
○ (Re)Training
○ Evaluation
○ Monitoring
● Human-in-the-loop
● Integrations
● CI/CD pipelines
● System monitoring
● Infrastructure as Сode
IDP Components: Automation
13. IDP is more than just OCR. To resolve the problem in-house, you need
to take care of data capture, data ingestion, pre-processing, OCR, data
extraction, evaluation, post-processing, and further integrations to
destination systems.
Bottleneck: Tables and unstructured text
IDP Takeaway
15. Public Cloud
Solutions by public cloud providers are
built on top of fully managed services
and easy to setup and deploy.
1. Maintained by cloud vendor
2. Built-in infrastructure
3. Secure and compliant
4. Human-in-the-loop included
5. Low costs at scale
6. Mostly general-purpose, but
with few specific use cases
Standalone
Pre-packaged solutions by ISVs,
usually narrowed down to a several
use-case and shipped as SaaS.
1. Little or no configuration
2. Narrow use-case support
3. Usually comes with rich GUI
4. Human-in-the-loop included
5. Medium or high costs
6. Data usually stored outside
of the organization
Custom In-House
Solutions built in-house, implementing
very specific or custom use cases, can
be deployed on the cloud or on-prem.
1. Highly customizable
2. Room for modern technologies
3. IP belongs to the organization
4. Can onboard new use cases
5. High costs on the start
6. Requires strong domain and
technical expertise
Brief Solutions Overview
16. Public Cloud Vendors usually offer general-purpose technology components for document processing,
such as Amazon Textract, Comprehend, A2I, etc. Components like A2I has rich spectrum of functionality
allowing to handle edge cases using human forces.
Some services are narrowed down to the industry-specific use cases to improve the accuracy of
predictions, like Comprehend Medical, Textract Expenses Analyzer, Textract Identity Documents Analyzer,
etc.
Public Cloud Solutions
17. Stand-alone Solutions
Independent Software Vendors who have built solutions using AI-native platforms tackle the most
demanding automation challenges.
Generally, they can handle documents that are more complex or have greater variation. As a result, they
often can deliver a greater business impact for the narrow use cases. But the downside of such solutions is
cost and flexibility to onboard new use cases.
It also makes sense to assess the effort to integrate those solutions with the existing infrastructure and
systems.
18. Custom In-house Solutions
Custom in-house IDP solutions allow to implement most complex niche use cases by combining the
capabilities of the cloud vendors and modern state-of-the-art technologies. Full control over the roadmap
allows to build next-gen, future oriented solutions.
It requires strong technical and domain expertise, which a lot of the companies are lacking today, but
partnering with the IDP partners might efficiently fill this gap.
29. ● Provectus IDP Platform is a white box solution integrated with the
expert-in-the-loop UI, retraining pipelines, analytics dashboards,
built-in integrations and custom built NLP models that go beyond
the generic use cases covered by the public cloud vendors and
standalone solutions.
● It can be deployed on top of existing services like AWS Textract and
Comprehend to combine the best from two worlds - fully managed
OCR engine and custom built CV/NLP models.
● The “Platform” nature of the Provectus IDP solution allows to
customize it in every step, covering all the business end-to-end and
allowing to seamlessly integrate with any existing systems and
infrastructure.
Solution Overview
30. Structured &
unstructured data
Including invoices, contracts,
insurance claims, shipment
orders
Provectus IDP
White box solution that
processes data
integrated with Cloud
OCR, expert-in-the-loop
UI, retraining pipeline,
custom built NLP models
Structured, indexed,
and normalized data
Including invoices,
contracts, insurance claims,
shipment orders, medical
records, etc.
OCR, Data
Extraction
CV/NLP models
Pre-Processing
Classification
APIs, Integrations
Data Validation
Expert-in-the-loop
UI and retraining
Amazon
SageMaker
Amazon
QuickSight
Third-party
applications
How It Works on AWS
31. ● Provectus IDP is a platform, allowing to either start with the pre-
configured deployment for industry-specific use cases or implement
complex and specific use cases
● We train-retrain our models for each customer, so the quality of our
models stacked on top of Textract allow them to close the gap and
outperform competitors on the given range of the documents
● Human-in-the-loop system that allows to review disputed cases
and input corrected data into the ML model to increase text
extraction accuracy
● Support of structured, semi-structured and unstructured
documents
● Ensuring highest security and compliance standards
Key Features
32. Accurate Extraction and Conversion
Capable of ensuring 80-95% accuracy of data extraction,
the solution flags disputed cases for manual review to
prevent any errors in the output data.
Continuously Improved Accuracy
Powered by a Natural Language Processing technologies,
solution continuously retrains the ML models and improves
its self-sufficiency.
Streamlining Business Processes
As human review is needed only for a error correction and
data verification, companies can scale their document
processing workflows and reduce the costs.
Faster Access to Analytics Initiatives
Scanned documents are processed at scale, and
businesses get faster access to structured data to drive AI
adoption and analytics initiatives.
Lower document processing costs and error-rate
Key Benefits
33. From 4-8 months of internal
R&D to free of charge 4 week
PoC
Accelerate your time
to market
10-30% of quality improvement
on documents processed by
pure cloud components or
standalone solution vendors
Push the limits of cloud
and stand-alone solutions
● By 2-8x compared to manual
workflows
● By 30%+ compared to legacy
OCR solutions
● By 10%+ compared to modern
cloud solutions
Reduce your document
processing costs
Understanding the Value
35. Data
● EDA (exploratory data analysis) —knowing your data is
the key to success
● Sample data based on EDA
● Use this data as the evaluation dataset for measuring
performance of solutions on the market / in the segment
Metrics
● F1, accuracy, recall, etc.
● Key / value extraction
● Table data
● Language, character recognition, spelling, handwritten text
Provectus Evaluation Methodology
36. Now, you have all the information about
possible go-to solutions in your market
segment. What’s next?
You need to fairly compare each and every
solution to choose one that fits
and aligns with your use case the most.
Deep evaluation is key to making
the right decision.
Cloud-based
Stand-alone
Custom In-house
Provectus IDP
Platform on AWS
Amazon IDP
(Augmented AI)
What to Choose?
37. 1. Ecosystem matters: Data integration with built-in industry specific connectors, data
pipelines, OCR, NLP, security, storage, and a human-in-the-loop workflow — all these
elements should be integrated with each other for optimal performance.
1. Use unbiased benchmarking framework for evaluating real performance of different
providers, based on your use case and datasets.
1. Work with Provectus to reduce your document processing costs
a. By 2-8x compared to manual workflows
b. By 30%+ compared to legacy OCR solutions
c. By 10%+ compared to modern cloud solutions.
Takeaways
38. Questions?
We would be happy to answer!
125 University Avenue
Suite 295, Palo Alto
California, 94301
provectus.com