Captricity transforms static documents, including handwriting on paper, into actionable data. Our solution is fast, vastly scalable, and 99%+ accurate. We combine high precision algorithms and machine learning with crowd sourcing, delivering the speed of automation with the accuracy of human verification. Our mission is to unlock the data that drives the world forward. For everyone.
Browne Jacobson, Deloitte and DoctorLink are pleased to invite you to our first joint health tech seminar with leading industry thought leaders. This will be a practical session, sharing experience from across the NHS and beyond to inform options on how to improve services, break down silos and focus on population health outcomes.
This event is exclusively for Commissioners, GPs, and Policymakers keen to understand how new integrated care systems and models of care can meet the needs of their local population and can be implemented pragmatically and affordably to drive improvement goals and achieve better health, better care and better value.
The presentation includes the introduction to the topic, the various dimensions of big data, its evolution from big data 1.0 to bid data 3.0 and its impact on various industries, uses as well as the challenges it faces. The concluding slide gives a brief on the future of big data.
Browne Jacobson, Deloitte and DoctorLink are pleased to invite you to our first joint health tech seminar with leading industry thought leaders. This will be a practical session, sharing experience from across the NHS and beyond to inform options on how to improve services, break down silos and focus on population health outcomes.
This event is exclusively for Commissioners, GPs, and Policymakers keen to understand how new integrated care systems and models of care can meet the needs of their local population and can be implemented pragmatically and affordably to drive improvement goals and achieve better health, better care and better value.
The presentation includes the introduction to the topic, the various dimensions of big data, its evolution from big data 1.0 to bid data 3.0 and its impact on various industries, uses as well as the challenges it faces. The concluding slide gives a brief on the future of big data.
8 reasons you need a strategy for managing information...before it's too lateJohn Mancini
Highlights from a keynote presentation that complements AIIM's free e-book -- 8 reasons you need a strategy for managing information...before it's too late.
E-book available at http://www.aiim.org/8things
Overview of major factors in big data, analytics and data science. Illustrates the growing changes from data capture and the way it is changing business beyond technology industries.
Building Confidence in Big Data - IBM Smarter Business 2013 IBM Sverige
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. You need confidence in your data – that it’s correct, trusted, and protected through automated integration, visual context, and agile governance. You need confidence in your ability to accelerate time to value, with fast deployments of big data appliances. Learn how clients have succeeded with big data by building confidence in their data, ability to deploy, and skills. Presenter: David Corrigan, Big Data specialist, IBM. Mer från dagen på http://bit.ly/sb13se
Intro to Demand-Driven Open Data for Data OwnersDavid Portnoy
This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Podcast Summary - Patient Identity and the Role of Today's Modern CIOM2SYS Technology
M2SYS Healthcare Solutions offers this slide show summary of our podcast with Sharon Canner from the College of Healthcare Information Management Executives (CHIME) on topics including: patient identity, CIOs, the advantages and disadvantages of a national patient identifier (NPI), how healthcare IT has succeeded and fallen short to implement electronic health records, the impact of health IT on the economy, and more.
Information Governance -- Necessary Evil or a Bridge to the Future?John Mancini
How the world is changing -- Old paradigms are being stretched to the breaking point
How we usually think about governance -- It’s not just about what you keep
How should we respond? -- Building an action plan for the next 2-3 years
Intro to Demand Driven Open Data for Data UsersDavid Portnoy
This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
How Insurers Fueled Transformation During a PandemicNuxeo
For many insurers, the past year has accelerated strategic investments to manage remote workforces, support virtual claims handling, and face off with FinTech upstarts.
In this webinar, we look at how leading insurers not only addressed the immediate challenges caused by global lockdowns but also found new efficiencies along the way. Get insights into some of the emerging technologies that are driving innovation in insurance, including the Cloud, artificial intelligence, and low-code. We also explore how these technologies reduce claims leakage while improving claims accuracy, employee productivity, and customer satisfaction.
Big Data Definition & Characteristic.
Company Dominates Big Data.
Big Data and Other Technologies.
Big Data and UN.
Big Data for Statistics.
Big Data for Development.
Big data & Open Data.
Big data & SDG’s.
20140826 I&T Webinar_The Proliferation of Data - Finding Meaning Amidst the N...Steven Callahan
Joint presentation with I&T's covering the proliferation of data available to insurance companies today and a high level view of searching for value and leveraging the relevant and useful buried in all of the trivia.
Reasons to go for self service analytics.pptxQuaeris
The self service analytics provides a way for organizations to empower every user in extracting value from their data independently. By democratizing access to analytics tools, everyone can leverage data to gain actionable insights faster. Here are some key reasons to adopt a self-service approach.
Mayfield CXO Survey: Post COVID-19 Impacts to ITNavin Chaddha
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8 reasons you need a strategy for managing information...before it's too lateJohn Mancini
Highlights from a keynote presentation that complements AIIM's free e-book -- 8 reasons you need a strategy for managing information...before it's too late.
E-book available at http://www.aiim.org/8things
Overview of major factors in big data, analytics and data science. Illustrates the growing changes from data capture and the way it is changing business beyond technology industries.
Building Confidence in Big Data - IBM Smarter Business 2013 IBM Sverige
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. You need confidence in your data – that it’s correct, trusted, and protected through automated integration, visual context, and agile governance. You need confidence in your ability to accelerate time to value, with fast deployments of big data appliances. Learn how clients have succeeded with big data by building confidence in their data, ability to deploy, and skills. Presenter: David Corrigan, Big Data specialist, IBM. Mer från dagen på http://bit.ly/sb13se
Intro to Demand-Driven Open Data for Data OwnersDavid Portnoy
This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Podcast Summary - Patient Identity and the Role of Today's Modern CIOM2SYS Technology
M2SYS Healthcare Solutions offers this slide show summary of our podcast with Sharon Canner from the College of Healthcare Information Management Executives (CHIME) on topics including: patient identity, CIOs, the advantages and disadvantages of a national patient identifier (NPI), how healthcare IT has succeeded and fallen short to implement electronic health records, the impact of health IT on the economy, and more.
Information Governance -- Necessary Evil or a Bridge to the Future?John Mancini
How the world is changing -- Old paradigms are being stretched to the breaking point
How we usually think about governance -- It’s not just about what you keep
How should we respond? -- Building an action plan for the next 2-3 years
Intro to Demand Driven Open Data for Data UsersDavid Portnoy
This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
How Insurers Fueled Transformation During a PandemicNuxeo
For many insurers, the past year has accelerated strategic investments to manage remote workforces, support virtual claims handling, and face off with FinTech upstarts.
In this webinar, we look at how leading insurers not only addressed the immediate challenges caused by global lockdowns but also found new efficiencies along the way. Get insights into some of the emerging technologies that are driving innovation in insurance, including the Cloud, artificial intelligence, and low-code. We also explore how these technologies reduce claims leakage while improving claims accuracy, employee productivity, and customer satisfaction.
Big Data Definition & Characteristic.
Company Dominates Big Data.
Big Data and Other Technologies.
Big Data and UN.
Big Data for Statistics.
Big Data for Development.
Big data & Open Data.
Big data & SDG’s.
20140826 I&T Webinar_The Proliferation of Data - Finding Meaning Amidst the N...Steven Callahan
Joint presentation with I&T's covering the proliferation of data available to insurance companies today and a high level view of searching for value and leveraging the relevant and useful buried in all of the trivia.
Reasons to go for self service analytics.pptxQuaeris
The self service analytics provides a way for organizations to empower every user in extracting value from their data independently. By democratizing access to analytics tools, everyone can leverage data to gain actionable insights faster. Here are some key reasons to adopt a self-service approach.
Mayfield CXO Survey: Post COVID-19 Impacts to ITNavin Chaddha
We asked our CXO Innovators Network how IT spending, priorities and strategy will change as a result of COVID-19 – here are some of the key takeaways from the survey.
The project started in 2015. My role was lead architect for the Retail Anti Financial Crime program and IT architect for the project delivering the regulatory control solution. We needed to build a system that could proactively identify suspicious patterns in customer behavior. This system should notify the relevant bank employees and also supply documentation of the progress in remediation efforts. It eventually won us the Cloudera Data Impact Award for 2016
Operations Research and ICT A Keynote AddressElvis Muyanja
By Prof. Venansius Baryamureeba, PhD
Uganda Technology And Management University (UTAMU)
www.utamu.ac.ug/barya ; barya@utamu.ac.ug
12th Operations Research Society for Eastern Africa (ORSEA) Conference, October 20-21, 2016, Hosted at the Faculty of Computing and Management Science Building, Makerere University Business School (MUBS), Kampala Uganda
As most NHS Trust’s advance in their commitment to deliver high quality services such as those illustrated by the Service Improvement Programme, it is essential the organisation is able to support good quality services through well informed decision making for services users and carers.
This whitepaper looks at ways in which Trusts can improve how they share knowledge and work collaboratively towards the main goal; quality patient care.
As most NHS Trust’s advance in their commitment to deliver high quality services such as those illustrated by the Service Improvement Programme, it is essential the organisation is able to support good quality services through well informed decision making for services users and carers.
This whitepaper looks at ways in which Trusts can improve how they share knowledge and work collaboratively towards the main goal; quality patient care.
The Next Normal Digital Transformation In A Post-pandemic FutureSeta Wicaksana
Technology offers businesses across industries incredible potential to engage with people around the world at a moment’s notice. Prior to the pandemic, many organizations were just beginning to see the potential that many of these capabilities offered their businesses. However, when in-person meetings and work were limited in response to Covid-19, they quickly realized just how powerful technology can be. The pandemic helped to accelerate digital transformation and created a landscape that will continue to encourage innovation and technological adoption moving forward. As businesses begin to better understand the capabilities of these types of modern technology, they will also begin to understand the opportunities that lie before them, even after the pandemic is over.
Digital transformation is more necessary during this crisis, not less. But that doesn’t mean it will look the same as it did before the pandemic. Resources—both in terms of talent and money—will likely be constrained. Digital initiatives may need to be reprioritized based on relevance in the current environment. New problems and opportunities may come to light with greater urgency. For some businesses, the forces of disruption may be so great that the long-term strategic vision will need to be overhauled. And any digital transformation roadmap that does not deliver value at every increment will need to be reimagined. The key is continuing to experiment and innovate with digital solutions front and center. With the right approach, businesses can come out of the fray stronger, more agile, and more customer-centric than before. Foremost, digitisation is accelerating. To lead in the post-COVID-19 world.
There will be no “return to normal”. The coronavirus is permanently reshaping the way we live and work. Some of the behaviors developed in crisis—including wide-scale digital adoption—will outlast the pandemic, well after restrictions on activity are lifted. To stay competitive, organizations must respond to these behavioral changes and meet emerging customer demands. Savvy organizations will focus now on leveraging advanced analytics to extract insights from their customer data and continue internal and external data integration efforts to develop a more holistic view. Detecting those signals of change early will be crucial to optimizing the customer experience and redefining customer value propositions in line with evolving preferences and needs.
Usama Fayyad talk in South Africa: From BigData to Data ScienceUsama Fayyad
Public talk by Barclays CDO Usama Fayyad in South Africa: both at University of Pretoria (GIBS) - Johannesburg and at Workshop17 in Capetown July 14-15, 2015
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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).
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Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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Extract Data from Static Documents
1. Unlocking the data that
drives the world forward
CONFIDENTIAL: DO NOT DISTRIBUTE
2. Without your data, you are flying blind
• Information and paper-based backlogs cost
time and revenue
• Lack of timely visibility into
customers, operations, and competition
hampers growth and innovation
• Reliance on costly, slow and inaccurate data
capture holds you back
3. The Captricity Solution
• Transform paper, pdf, and fax forms into
actionable data in hours with 99% accuracy
• Handles the hardest problems, including
handwriting on paper
• Flexible, subscription-based web-based service
5. What We Are Not
• NOT an “OCR”
o
A blend of machine and human intelligence
• NOT an outsourced operation
o
Democratizing access to data through
easy, affordable and widely available solutions
• NOT a closed system
o
Captricity’s API allows customers to seamlessly
blend structured data extraction from paper
forms into your applications
6. Fast and Accurate
• Self serve interface means no programming
• Easy to set up and use
• Handles even large amounts of data in about a
day.
• Accurate to 99%, double-entry accuracy even
with handwriting.
7. Integrated
• Plugs into your existing business process.
• Deliver results in the form you need, from .csv to
Salesforce to your in-house database via API.
• Results delivered in a secure, shareable
environment.
8. Distributed
• Supports multiple entry points, including mobile
• Easy cloud upload enables distributed data
capture.
• Supports popular cloud-based solutions such as
Salesforce, Box, Dropbox and Constant Contact.
9. Privacy: your data is secure
The key to our technology is “shredding”
the digital image of the form.
Human workers do some data entry/ data
verification to calibrate and check our
software tools. This achieves high accuracy.
However, no individual worker can access a
whole form or multiple data points from a
single form. This keeps your data secure.
CONFIDENTIAL: DO NOT DISTRIBUTE
10. Secure
We “shred” the digital image
of the form to ensure privacy
• 100% HIPAA compliant
• ATO with major federal agency
• Computer vision-based image
security
12. Captricity: Federal Government
The FDA is responsible for protecting and promoting public health through
the regulation and supervision of food and medical products safety.
The Problem
•
•
•
•
Urgent backlog of
mandatory forms.
Filings volume growing
15% - 30% per year
Cost to process filings
increasing with more
information.
Budget frozen.
The Solution
•
•
•
•
Automation of data
entry.
Handles multiple forms
and data types.
Integrates with in-house
systems.
Passed FISMA medium
security clearance.
Benefits
•
•
•
•
Reduce dependence
on outsourced data
entry.
Scales up and down to
meet need.
Predictable cost.
Security assured.
“For the paper jam we experienced, it was originally estimated to take a very long time to
overcome the backlog using manual data entry. Captricity was part of a solution that was
timelier, and we were able to achieve very high quality data at the fraction of the cost.”
-- Taha Kass-Hout, CHIO, FDA
13. Captricity: CA State Government
The Fair Political Practices Commission (FPPC) was created by the Political Reform Act of 1974
(Act), a ballot initiative passed by California voters in 1974 as Proposition 9.
The Problem
•
•
•
Urgent backlog of
judges public disclosure
forms.
Set budget for
processing backlog
won’t meet need.
Forms needed to meet
transparency
requirements.
The Solution
•
•
•
Automation of data
entry.
Forms sent to Captricity
via email.
Data housed on
Captricity Open Data
Portal.
Benefits
•
•
•
Meet public
transparency
mandate within
budget.
Easily manages
ongoing demand.
Predictable cost.
“Captricity took our scanned documents and converted them to a machine readable
format at a very reasonable cost. Now the data is more accessible
and easier to analyze.”
-- Tina Z Bass, Interim Executive Director of the Fair Political Practices Commission
14. Captricity: Research
The Abdul Latif Jameel Poverty Action Lab (J-PAL) at Massachusetts Institute of
Technology, is a global network of researchers who use randomized evaluations to answer
critical policy questions in the fight against poverty.
The Problem
•
•
30,000 handwritten voter
turnout forms from
recent Kenyan election
critical to research
project.
Data from forms
necessary to complete
study on impact of SMS
messages on voter
turnout.
The Solution
•
•
30,000 forms processed
in one week, compared
to months for manual
entry
No retraining of staff
needed to complete
work
Benefits
•
•
•
Double entry quality in
a fraction of the time
Rapid access to
original data helpful for
research
No infrastructure to
manage or software to
maintain
“Captricity was very quick and flexible. We were able to tweak the forms and extract the
data we needed to complete our research quickly and efficiently. One feature that has
been particularly useful is the ability to click on a cell and view the original data.”
-- Tavneet Suri, Associate Professor at MIT
15. Captricity: NGO
The Problem
•
•
•
Entering paper
petitions and forms
into database slows
down workflow and
generates staff and
volunteer burnout.
Significant backlog
Required an ethical
solution that would
not exploit
outsourced workers
Transportation Alternatives is a
10,000+ member advocacy
organization for biking, walking
and public transit based in New
York City.
The Solution
•
•
•
Self serve
document
definition critical to
support new forms
types.
Speed of entry
critical for member
and constituent
outreach.
On-demand model
meets variable
need
Benefits
•
•
•
Ease of self-serve
document definition
supports all form types.
Scalability and pricing
means no costly lock-in
or support for in-house
solutions.
Staff and volunteers
free for other work
“Captricity was exactly what we were looking for. It was very easy to get going and the
customer service has been amazing. I’ve never had to wait even a day for a
completely comprehensive response to any question.”
-- Ian Cramer, IT Coordinator, Transportation Alternatives
17. The Captricity Organization
Public Launch
Founded 2011
Progress:
Best Tech --Launch Conference
2012
Private Beta
First 1M fields processed
Investors:
Awards:
2013 Strata
Data for
Social Impact
Series A Funding
2013
Enterprise Ready
Salesforce, Box Integrations
Public REST API
Team collaboration
HIPAA Compliance
Editor's Notes
Data in paper drives business process… $$$85% business data in documents, opentext+sap for 20 yearsPaper documents capture transactions, and that won’t changeOCR is 80% solution, only largest vols can affordSaaS, pay-go