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Managing the Customer Lifecycle through Data Science

In the digital-first, data-centric economy, customer behavior has fundamentally changed. Each digital interaction creates valuable customer information that provides businesses with insights about the customer lifecycle.

But that information, especially personally identifiable and sensitive information, is highly coveted by fraudsters. As a result, breaches are commonplace, identities are continuously compromised and identity fraud is rapidly evolving, putting both customers and businesses at risk.

With so many layers of identity fraud, the key for businesses is to deploy a solution that is adaptable to their needs, their roadmap and their long-term strategy to make big data and AI the competitive advantage. Join Simility’s CTO and Co-Founder Kedar Samant and Socure’s Co-founder and SVP Johnny Ayers for a discussion that explores the basics of managing digital fraud as well as opportunities to enhance fraud prevention going forward, while balancing the customer experience and regulatory landscape.

In this presentation you will learn about:

· How business can harness their digital footprints for better lifecycle management.

· The unique approach that Similty and Socure are taking to help businesses get a 360 degree view of the end customer.

· Insights on innovative customers.
Recorded Sep 18 2018 65 mins
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Presented by
Kedar Samant, CTO and Co-Founder, Simility Johnny Ayers, Co-Founder and SVP, Socure--
Presentation preview: Managing the Customer Lifecycle through Data Science

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  • Managing the Customer Lifecycle through Data Science Recorded: Sep 18 2018 65 mins
    Kedar Samant, CTO and Co-Founder, Simility Johnny Ayers, Co-Founder and SVP, Socure--
    In the digital-first, data-centric economy, customer behavior has fundamentally changed. Each digital interaction creates valuable customer information that provides businesses with insights about the customer lifecycle.

    But that information, especially personally identifiable and sensitive information, is highly coveted by fraudsters. As a result, breaches are commonplace, identities are continuously compromised and identity fraud is rapidly evolving, putting both customers and businesses at risk.

    With so many layers of identity fraud, the key for businesses is to deploy a solution that is adaptable to their needs, their roadmap and their long-term strategy to make big data and AI the competitive advantage. Join Simility’s CTO and Co-Founder Kedar Samant and Socure’s Co-founder and SVP Johnny Ayers for a discussion that explores the basics of managing digital fraud as well as opportunities to enhance fraud prevention going forward, while balancing the customer experience and regulatory landscape.

    In this presentation you will learn about:

    · How business can harness their digital footprints for better lifecycle management.

    · The unique approach that Similty and Socure are taking to help businesses get a 360 degree view of the end customer.

    · Insights on innovative customers.
  • Zero to PSD2 in 8 weeks! Recorded: May 28 2018 30 mins
    Swastik Bihani, VP of Product Management
    The European Commission’s Payment Services Directive 2 (PSD2) is helping to facilitate new opportunities and players within the payments market, but it is also creating substantial new obligations around security. Technology solutions such as Simility can address each of these requirements seamlessly, avoiding the SCA requirement, thus reducing fraud and improving customer satisfaction. Watch our on-demand webinar to see how we do it!
  • Innovations in Adaptive Fraud Prevention Recorded: Mar 7 2018 47 mins
    Kedar Samant, co founder and CTO and Lynn Strand, VP of Marketing
    Learn from Kedar Samant and Lynn Strand of Simility in this webinar as they discuss key advances in fraud detection and prevention.
    Enterprises today need to combat evolving threats with a highly-adaptive fraud prevention platform. In this webinar, hear firsthand how large banks, payment service providers, and ecommerce companies are using new adaptive fraud prevention technologies to detect and respond quicker than ever before. Learn how organizations like yours are easily updating their models and strategies — from pattern identification to hypothesis testing and deployment. See how additional data feeds from different, isolated sources are brought together to create accurate insights that reduce fraud, save time, lower costs, and improve the user’s experience—all accomplished without any coding or engineering work.
  • Omnichannel Banking needs Omnichannel Fraud Prevention Recorded: Nov 2 2017 34 mins
    Swastik Bihani, VP of Products, and Lynn Strand, VP of Marketing
    In this webinar, we will:

    -Discuss increasingly diverse ways in which customers are banking and the impact on fraud
    -Highlight how banks can identify and stop cyber criminals by using an omnichannel approach backed by a data-lakes solution
    -Provide practical insights for approving legitimate cross-channel payments with advanced device, behavioral, and transactional intelligence
  • Fishing the Data Lake? Cast a Smarter Net to Catch Fraud Recorded: Sep 14 2017 59 mins
    Swastik Bihani, Simility, & Julie Conroy, Aite Group
    There’s a new frontier in fraud detection. Join Julie Conroy, Aite Group, and Swastik Bihani, Simility, to learn how companies are using machine-learning models and behavioral analytics across a wide variety of structured and unstructured data to accurately detect fraud and suspicious activity.

    You’ll see how you can easily clean, transform, enrich, and deep dive into all the related suspicious activity that makes a potential transaction suspect.

    We’ll cover how these techniques yield insights from professionals in threat detection, fraud, security, and compliance use cases. Whether in a private cloud or on premise, you’ll see how your analytics stack can become clean, flexible, and accessible through an easy-to-use UI—no coding required.
  • Device Intelligence: Going Beyond Old-School Device Fingerprinting Recorded: Aug 23 2017 41 mins
    Kedar Samant, CTO & Co-Founder, Simility
    With old-school device fingerprinting, it’s easy to stop or allow known devices, but with the explosion of the number of new devices and companies engaging customers via multi-channels, the technology falls short in helping you identify transactions that are truly risky or good.

    In this webinar, you’ll see how device intelligence with machine learning allows you to derive more accurate fraud and risk insights from large amounts of device engagement data.
  • Fraud Mutates – Detect, Understand and Block It Recorded: Jul 5 2017 18 mins
    Kedar Samant, CTO & Co-Founder, Simility and Ravi Sandepudi, Head of Engineering, Simility
    Fraudsters are conjuring up new techniques to compromise systems, and today’s digital businesses are constantly evolving. In this environment of change, you need a fraud prevention solution that can effectively adapt to both the changing and evolving threat vectors as well as take into account the evolving business scenarios.

    In this session, we will demonstrate how a combination of flexible data ingestion and signal analysis bolstered by advanced machine learning models in combination of human analysis can provide an adaptive fraud prevention solution.
  • Fighting Loyalty Fraud with Device Behavior Analytics Recorded: Jun 13 2017 53 mins
    Swastik Bihani, VP Product Management, Simility
    How to counter loyalty fraud using transaction data and device fingerprint along machine learning.
  • Managing Fraud in Fintech Recorded: Jun 13 2017 20 mins
    Kedar Samant, co-founder and CTO at Simility and Ravi Sandepudi, Engineering head at Simility
    How to understand and counter Fraud in Fintech space of the changing world.
  • Why Fraud cannot be Managed using Traditional Device Fingerprinting? Recorded: Jun 13 2017 48 mins
    Alex Andon, Product Manager at Simility
    What is Device Fingerprinting? Why is the traditional device fingerprinting falling short of catching fraudsters? Why is an evolving device fingerprinting necessary?
  • Fraud Detection: What’s Beyond Machine Learning? Recorded: May 11 2017 54 mins
    Kedar Samant, co-founder and CTO of Simility, Swastik Bihani, VP of Product Management, Simility
    In this session you will learn:

    -Brief discussion on ML and how it helps with fraud detection
    -Limitations of machine learning and unsupervised learning
    -Emerging approaches such as adaptive data ingestion and dynamic data ontology
    -Steps and approaches to build a strategy beyond machine learning
Fraud Prevention Technology
Adaptive Fraud Detection that learns and evolves, prevents frauds in real-time and helps grow your business. Simility's superior combination of machine intelligence and flexible data ingression is disrupting conventional thinking about risk and offers a pioneering approach to fraud protection.

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  • Title: Managing the Customer Lifecycle through Data Science
  • Live at: Sep 18 2018 9:30 am
  • Presented by: Kedar Samant, CTO and Co-Founder, Simility Johnny Ayers, Co-Founder and SVP, Socure--
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