How they describe themselves: We’ve developed a regulatory compliant social media analytics technology for lenders, insurance companies and other risk-centric businesses to better decision and understand specific individual risk outcomes for  thin-file, no-file and credit challenged consumers using our patent-pending personality and behavior analytics technology. We can, among other things, predict at VERY HIGH RATES  Default , Early Payoff or Full Amortization (whether they will transact or revolve), and a Risk Correlated Projected Fico with only a single Facebook, LinkedIn, or Twitter login.

We have essentially reduced Application Friction to almost zero and provided NextGen underwriting in the same solution.

How they describe their product/innovation: We’ll be demoing our Default Risk, Transactor-Revolver, and Risk Alignment Products which demonstrate our 1-click frictionless decisioning and the power of our specific individual risk outcome predictions.

Product distribution strategy: Direct to Business (B2B), through financial institutions, through other fintech companies and platforms

Contact

Bus. Dev., Press, & Sales: Jeff LoCastro, CEO & Founder, [email protected], 408-560-8720

How they describe themselves: NCR Corporation (NYSE: NCR) is a leader in omni-channel solutions, turning everyday interactions with businesses into exceptional experiences. With its software, hardware, and portfolio of services, NCR enables more than 550 million transactions daily across retail, financial, travel, hospitality, telecom and technology, and small business. NCR solutions run the everyday transactions that make your life easier.

NCR is headquartered in Duluth, Georgia with over 30,000 employees and does business in 180 countries. NCR is a trademark of NCR Corporation in the United States and other countries.

How they describe their product/innovation: A fully immersive VR ATM experience with real-time remote collaboration, proven to be very effective for showcasing technology and developing expertise.

We will demo  a collaborative Virtual Room in which multiple people at different locations can look inside an ATM. Every part of the ATM is rendered in 3D and can be moved and manipulated just like its real world counterpart. This makes it a powerful tool for:

• Training and servicing an ATM with a remote expert
• Showcasing configuration options
• For teams (engineers, customers, parters, suppliers) to collaborate during design cycles

Contact

Bus. Dev.: Kimberly Prieto, Bus. Dev. Director, Digital Insight an NCR Company, [email protected], 818-584-0907
Press: Aaron Gould, Communications Manager, [email protected], 212-589-8556
Sales: Chris King, Solution Sales VP, [email protected]

How they describe themselves: nanopay is a Fintech company based in Toronto that provides a unique payment platform that powers multi-currency payment solutions with instantaneous settlement. nanopay solutions include cross-border payment networks, business-to-business (B2B) payments and digital cash. Open APIs enable banks, payment service providers and businesses to securely store and transfer digital value between parties instantly and without intermediaries. The nanopay platform uses state-of-the-art cryptography and bank-grade HSM security and is designed for global regulatory compliance. nanopay is venture funded with strategic investments from international partners including the Merchant Banking Division of Goldman Sachs.

How they describe their product/innovation: Today, interbank cross-border payments are slow, expensive, non-transparent, highly manual, dependent on multiple intermediaries, and a poor customer experience. nanopay cross-border payments platform enables the banks to provide instantaneous fund transfers including settlement, without intermediaries, with higher straight through processing, full transparency and over 60% cost reduction. nanopay B2B payments enable businesses to make secure and trusted payments between parties who are unfamiliar with each other. Businesses use a centralized directory instead of exchanging bank account information and agree on conditions to complete payments. Using ISO 20022 standards to deliver metadata means achieving higher straight through processing.

Product distribution strategy: Direct to Business (B2B), through financial institutions, licensed

Contact

Bus. Dev. & Sales: Kent Rawlings, Chief Commercial Officer, [email protected]
Press: Lauren Jaeger, Senior Account Executive, [email protected]

How they describe themselves: Moxtra is a Business Collaboration service built for the Mobile Era. Business users collaborate externally and internally through conversations supported by business documents and content. The Moxtra service enables business conversations with Multilayer Document & Content Interactions. These interactions support unstructured document workflow and are bite-sized,  contextual, and on-demand. Moxtra’s capabilities are delivered as embeddable SDKs or as an application that can be white-labelled.

How they describe their product/innovation: Moxtra offers an embeddable,  omni-channel client engagement platform for financial services companies. Using Moxtra’s technology, clients and relationship managers can collaborate around documents using secure messaging, e-Signatures, voice layered over content, and real-time meetings. Moxtra is platform agnostic and is built with the mobile user in mind. The platform can be white-labeled and integrated deeply into existing workflows. Built with end-to-end encryption, it can be configured to meet any security or regulatory requirements.

Product distribution strategy: Direct to Business (B2B), through financial institutions, through other fintech companies and platforms, licensed

Contact

Bus. Dev.: Kartik Chillakanti, Product, [email protected], 510-283-3032
Press: Matthias Broner, Product Marketing, [email protected], 952-297-2047
Sales: Kartik Chillakanti, Product, [email protected], 510-283-3032

How they describe themselves: Microblink is R&D company focused on proprietary machine vision, specifically, real-time text recognition (OCR) for mobile devices. Microblink develops SDKs designed to improve UX in apps by replacing manual input. By turning a mobile camera into data catcher, Microblink offers scanning ID documents, payment slips, bills, scratch cards, TOP-UP, SIM card, VIN, etc. All solutions are simple to integrate into any app, designed to client’s needs, and work offline. The technology is based on the most advanced neural networks and machine learning to provide fast and accurate text recognition. Microblink is famous for developing Photomath app – real-time math solver that has 50M+ downloads and the first in the world that recognizes handwriting.

How they describe their product/innovation: BlinkReceipt is a real-time retail receipt scanner for mobile apps. The SDK provides extraction of all purchase data (meaning each item bought) from retail receipts in real-time. The solution runs locally on a device, has high accuracy, scales infinitely, and is the most cost-effective way to collect consumer purchase data. BlinkReceipt can be used for purchase validation, loyalty and rewards programs, consumer panels/market research, and personal finance/lifestyle management, amongst other things. Currently, SDK supports receipt scanning for the top US retailers and we plan to increase US coverage and expand internationally by the end of 2017.

Product distribution strategy: Direct to Business (B2B), through other fintech companies and platforms, licensed

Contact

Bus. Dev.: Izet Ždralović, Co-Founder & SMD, [email protected], +385 99 6000 575
Press: Nina Šuljak, Marketing Manager, [email protected], +385 99 210 1171
Sales: Tijana Žganec, KAM, [email protected], +385 95 5122 511

How they describe themselves: MedPut covers out-of-pocket medical expenses as an employee benefit.  As employers increasingly transfer healthcare costs to employees, providing employees with a low-cost source of point-of-service funds facilitates adoption of higher deductibles and saves employees from having to overuse credit cards.  MedPut reduces expenses for employers moving to high-deductible or self-insured health plans.

How they describe their product/innovation: MedPut’s OOP expense credit facility offers financing for most medical expenses at an APR below 5%.  MedPut works with medical bill negotiators to pass through cost savings to employees, pays the negotiated bill and collects repayment through payroll deductions.  We effectively transfer the risk of repayment away from provider bill collections offices or credit cards.  Enrollment and bill-pay are done in accordance with HIPAA compliance through our web application.

Product distribution strategy: Direct to Business (B2B)

Contact

Bus. Dev.: Harsha Puvvada, Head of Bus. Dev., [email protected]
Press: Lipika Swami, Head of Marketing Strategy, [email protected]
Sales: Stefan Sharma, Principal, [email protected]

OrchIS provides identity and access management (IAM) microservices using stateless APIs that bridge security and cloud enablement while reducing fraud in the financial sector. Our core technology is a continuous risk based adaptive authorization engine coupled with orchestrated remediation that leverages data security intelligence into authorization decisions fusing the risk/trust divide and allowing discrete business processes to reduce transactional risk. OrchIS uses a massively scalable distributed microservices architecture with real-time machine discovery to build complex relationships between users, devices, things, applications, locations and real time threats. Using that data we gauge transactional risk based on the who, what, why, where, when and how with a mitigation model that addresses risk changes during an active session.

Presentation

Provide Break-Through User Experience and Business Agility through Continuous Adaptive Security

Identity management has fundamentally shifted as microservices and IOT transform the meaning of business agility and user experience. OrchIS brings the microservices/API revolution to the IAM marketplace providing strong authentication, authorization and management of widely distributed users, devices, customers, things, locations, APIs, applications and their associative relationships into a transactional risk profile. This enables new disruptive features like session mobility and continuous risk based adaptive authorization that dynamically increases security and user engagement while reducing friction resulting in an increased capacity to know your customer.

What You’ll Learn

• IAM microservices provide an unparalleled level of scale and agility for managing users, devices, things, applications, customers and locations.
• Risk based adaptive authorization increases security and reduces transactional friction.
• Examples of great and secure user experiences provided by continuous risk based adaptive authorization.

Presenters

Nathanael Coffing, Co-Founder

linkedin.com/in/ncoffing

Nathanael’s extensive knowledge of the enterprise security environment has been a major driver in developing the company’s vision for the future of identity and data security. His expertise in the areas of identity and access management extends from the birth of the industry to today’s rapidly shifting landscape and standards.

Łukasz Jaromin, Director, Product Development

linkedin.com/in/łukasz-jaromin-54355647

Łukasz is an ultra scale architect with the last decade focusing on IAM. He’s the director of development at Orchis and shaped his career building massive scale projects for online transactions in the international telco and finance space.

NuCypher is a data-centric, zero-trust security and encryption platform for big data. By embedding access policies directly into encryption, NuCypher’s data-centric encryption follows data wherever it goes: across platforms (Hadoop, Kafka, Spark) and between on-premise and cloud environments.

Whether compute is happening in isolated, controlled networks or distributed, ubiquitous environments, no network is truly secure, and modern enterprises must architect their systems under the assumption that any component can be compromised at any time. Modern infrastructures are massively complex, with vulnerabilities that will eventually be exploited. Responsible enterprises must act as if they’ve already been compromised and adopt a zero-trust security model. NuCypher is leading the charge.

Presentation

Truly Secure Big Data and Cloud Environments

NuCypher is commonly used by enterprises seeking to: Move big data storage and compute to the cloud, while keeping encryption keys on-premise, Enable inter- and cross-organizational, granular sharing of data in a secure and auditable way based on existing AD/LDAP/Kerberos access policies, and Bring big data projects into compliance with internal security policies and regulatory requirements, including PCI, HIPAA, and GDPR.

In this presentation, we will review the above use cases, explain the underlying technical architecture of NuCypher, and demo the technology in action for both Hadoop and Kafka.

What You’ll Learn

• How to securely store and process big data in the cloud, while keeping encryption keys on-premise
• How to enable granular, inter- and cross-organizational sharing of data in a secure and auditable way
• How to bring big data projects into compliance with internal security policies and government regulations

Presenter

Michael Egorov, CTO

linkedin.com/in/michael-egorov-77663332 | @newmichwill | [email protected] | 408.550.3891

Dr. Michael Egorov is a software engineer and the cofounder and CTO of NuCypher. Previously, he worked on infrastructure tools at LinkedIn and as a post-doc physicist experimenting with ultra-cold atoms. He graduated from the Moscow Institute of Physics and Technology and was a bronze medalist in the 2003 International Physics Olympiad.

MapD is a next-generation database and visualization layer that harnesses the parallel power of GPUs to explore multi-billion row datasets in milliseconds. By combining a purpose-built GPU database with a powerful visualization layer, MapD is able to deliver immersive, instantaneous analytics on datasets (market, alternative, transaction, customer) previously considered too large to explore interactively.

The speed and scope of MapD’s solutions enable organizations to compete more effectively, solve more complex problems, find pockets of alpha and to manage operational risk more comprehensively.

Founded in 2013, MapD is funded by Google Ventures (GV), Nvidia, In-Q-Tel, Vanedge Capital and Verizon Ventures.

Presentation

How GPU-Powered Visual Analytics Are Remaking Financial Services

What are the ingredients for an a-ha moment in financial services where a trade is discovered, a risk exposed or a behavior illuminated? It is not luck, or fate, or even hard work. It is the intersection of tools, technology and domain knowledge.

MapD Founder and CEO, Todd Mostak will address the technical details associated with applying GPUs to the task of visual analytics. The talk will cover the database elements, the visual frontend elements and the hybrid, server side rendering required to interact with billions of rows with millisecond latency.

What You’ll Learn

• The consideration of building a GPU database. From memory management to query compilation – what components require a different perspective than standard CPU implementations.
• Why traditional visual analytics are not well suited to rendering and cross filtering multi-billion row datasets and how a GPU can be used to create a hybrid approach that delivers speed and scale.
• With a database and dataviz built on GPUs, the logical next step is data science. This talk will briefly cover how to approach the problem with the goal of persisting as much on the GPU as possible.

Presenter

Todd Mostak, Founder & CEO

linkedin.com/in/toddmostak | @ToddMostak

Todd Mostak is the founder and CEO of MapD. He built one of the first GPU databases while studying the role of social media in the Arab Spring while a graduate student at Harvard and refined it at MIT’s CSAIL before founding MapD in 2013. Todd received his undergraduate in economics and anthropology from the University of North Carolina.

Modelshop is an analytic decision platform for financial services. We enable organizations to create analytic decision services an order of magnitude faster than traditional technologies. Examples include lending origination, credit pricing, portfolio optimization, fraud prevention, and insurance claims decisioning. What makes Modelshop unique is our powerful data modeling and variable engine. We empower business analysts to create decision models as easily as creating a spreadsheet, while providing a platform that enables high-volume, low latency services that can drive mission critical decisions. By integrating predictive analytics created in R or Python, Modelshop allows financial institutions to improve the performance of their business without the hassle of building custom model deployment software.

Presentation

Create a Custom Credit Risk Model Using Modelshop

Modelshop enables financial institutions to create custom decision models in record time. In this presentation, the Modelshop team will demonstrate building a credit risk model that uses credit report details, applicant assets, and deal ratios to predict loan default rates and price a credit offer. The model will be created from scratch in 15 minutes. This is one example of how Modelshop can improve the performance of financial institutions. Our platform has created decision models for origination, fraud mitigation, portfolio optimization, roboadvisor recommendations and compliance assurance.

What You’ll Learn

• Creating custom analytic applications has become accessible to all financial services organizations, regardless of size.
• Predictive analytics can be easily integrated with business managed decision strategies, without long deployment cycles.
• A real-time analytic framework is critical to power the next generation of financial services products.

Presenters

Tom Tobin, CEO

linkedin.com/in/tomtobin | @modelshopinc | [email protected] | 973.882.0111

Tom Tobin has been creating analytic software for financial services for over 25 years, working for companies including FICO, Oracle, Fiserv, and Hewlett Packard. Tom’s vision is to make decision automation more accessible to business analysts. Tom has an electrical engineering degree from Cornell University.

James Marsh, Modeler

[email protected]

James started his career building analytic algorithms for Wall Street but has developed a passion for creating analytic applications using Modelshop. James has an MBA from Duke University’s Fuqua School of Management.

Prevoty provides visibility and protection for critical applications and data by automating intelligence and defense. Prevoty runtime application and data security delivers real-time, actionable security analytics and automated vulnerability mitigation — including the OWASP Top 10, data exfiltration and fraudulent behavior. Prevoty’s solution is installed directly within an application and travels wherever it is deployed, in the cloud or on-premises. By using Prevoty, enterprises have unprecedented visibility and correlation across network, application and database activity. These capabilities enable Global 2000 enterprises to dramatically improve remediation of vulnerabilities, enabling security and development teams to work together more effectively, even with agile release cycles.

Presentation

Using Runtime Visibility to Align Application Security with DevOps

Programming languages are becoming more powerful and capable, and applications more porous than before. Evolving constraints, patterns and definition lists make validating data inputs and preventing injections while maintaining performance unwieldy and difficult. Nobody wants vulnerabilities, but with the rise of Agile DevOps, security is usually playing catch-up.

New embedded runtime security tools coined Runtime Application Self-Protection (RASP) are enabling developers and security admins to see beyond potential vulnerabilities and identify actual attacks that hit applications in production. This talk will introduce RASP based on the LANGSEC methodology and its mission to align security and DevOps – giving both teams the visibility and automation they need to work in synchrony.

What You’ll Learn

• Discover how automated security tools can seamlessly integrate with existing Continuous Integration/Continuous Development DevOps processes
• How to gain visibility into complex, live application attacks in production and shift the paradigm from potential vulnerabilities to real threats
• How we are using runtime security to automatically neutralize 98% of vulnerabilities in production — even for legacy or third-party code

Presenter

Kunal Anand, CTO & Co-Founder

linkedin.com/in/kunalanand | @ka | [email protected]

CTO & Co-Founder of Prevoty, an application security and intelligence platform. Formerly the Director of Technology at the BBC Worldwide, overseeing engineering and ops across the company’s global initiatives. Kunal also has several years of experience leading security, data and engineering at Gravity, MySpace and Nasa JPL.