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AI for Regulatory Change: Why, What and How?

Since the financial markets collapse of 2008, the financial services sector has been engulfed in new rules and regulations. Compliance teams must track regulatory data, and assess the impact of every regulatory requirement, to avoid breaches and punitive enforcement fines.

With 45 new regulatory documents to deal with every week, and more than 53,000 regulatory updates issued every year, manual approaches to monitoring regulatory intelligence and managing regulatory change are putting financial services businesses at risk.

Artificial intelligence (AI) allows you to marry human expertise with the almost limitless ability of technology to consume and analyze huge amounts of data, automate manual processes and reduce complexity. In doing so, financial institutions can leverage AI to respond to regulatory change more efficiently and effectively.


Join regulatory change expert, and Head of Product Management at CUBE Elliot Burgess to learn

Why AI is the only answer to addressing big data compliance challenges, at scale
What elements of AI are driving value for Risk and Compliance teams (e.g. Machine Learning, Natural Language Processing, Robotic Process Automation)
How regulated financial institutions are utilizing AI today to ease and accelerate regulatory change processes

NOTE: The audio during the first five minutes of this webcast is audible but slightly distorted. Apologies for any inconvenience.
Recorded Aug 21 2019 46 mins
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Presented by
Elliot Burgess, Head of Product, CUBE
Presentation preview: AI for Regulatory Change: Why, What and How?

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    Lee Fairey has more than 15 years of first-hand experience managing information and technology risk at a variety of financial institutions, including RBS, BNY Mellon and Citi. Lee’s specialist expertise includes the application of RegTech to capture regulatory intelligence and manage regulatory change for information governance.
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    It's never been more challenging for multi-national firms to manage cyber-related risk. In fact, the average cost of cyber crime for financial institutions has jumped by $1.4 million to $13m.

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  • Navigating Regulatory Compliance for Information Governance Recorded: Aug 22 2019 22 mins
    Lynn Molfetta and Lee Fairey
    How to solve the top 3 information governance challenges for financial services

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    Lee Fairey. Prior to his current role as Head of Customer Success at CUBE, Lee gained 15 years first-hand experience managing information and technology risk at a variety of financial institutions, including RBS, Barclays, BNY Mellon, BNP Paribas and Citi. Lee’s specialist expertise includes the application of regulatory technology (RegTech) to capture regulatory intelligence and manage regulatory change for information governance.
  • AI for Regulatory Change: Why, What and How? Recorded: Aug 21 2019 46 mins
    Elliot Burgess, Head of Product, CUBE
    Since the financial markets collapse of 2008, the financial services sector has been engulfed in new rules and regulations. Compliance teams must track regulatory data, and assess the impact of every regulatory requirement, to avoid breaches and punitive enforcement fines.

    With 45 new regulatory documents to deal with every week, and more than 53,000 regulatory updates issued every year, manual approaches to monitoring regulatory intelligence and managing regulatory change are putting financial services businesses at risk.

    Artificial intelligence (AI) allows you to marry human expertise with the almost limitless ability of technology to consume and analyze huge amounts of data, automate manual processes and reduce complexity. In doing so, financial institutions can leverage AI to respond to regulatory change more efficiently and effectively.


    Join regulatory change expert, and Head of Product Management at CUBE Elliot Burgess to learn

    Why AI is the only answer to addressing big data compliance challenges, at scale
    What elements of AI are driving value for Risk and Compliance teams (e.g. Machine Learning, Natural Language Processing, Robotic Process Automation)
    How regulated financial institutions are utilizing AI today to ease and accelerate regulatory change processes

    NOTE: The audio during the first five minutes of this webcast is audible but slightly distorted. Apologies for any inconvenience.
  • RegTech in 10: Managing regulatory change for cybersecurity Recorded: Aug 13 2019 10 mins
    Dr Alexander Duisberg, Bird & Bird and David Noble, CUBE
    Cybercrime is rising rapidly, takes more time to resolve and costs the financial services industry US$18 billion annually. The average cost of cybercrime for financial institutions increased US$1.4 million to US$13.0 million in the past year, according to a recent Accenture report.

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  • Transforming Compliance with Artificial Intelligence Recorded: Jan 24 2019 50 mins
    Elliot Burgess, Head of Product, CUBE
    Listen our webinar to learn which elements of AI are driving value for risk and compliance (i.e. ML, NLP, RPA).

    -Learn about AI in practice
    -How regulated financial institutions are utilizing AI today,
    -Why AI is the only answer to addressing big data compliance challenges, at scale.
    -We will also go over what happened when RegTech met SupTech – how are regulators are applying AI to ease and accelerate compliance processes.
  • RegTech for Information Governance Recorded: Dec 5 2018 62 mins
    Devie Mohan, Co-Founder and CEO, Burnmark
    If you are feeling challenged by regulatory change, you are not alone. Everyone involved in information governance, at every stage of the information lifecycle, is feeling the effects – from Records Management and the Data Office through to Legal and Compliance. Heightened focus on data protection has created a collision of worlds – new intersections between data, records, privacy and security, requiring superhero experience, skill and agility to solve.

    •How have changes in data privacy and protection disrupted information governance?
    •How are financial institutions ensuring compliance, faced with extensive regulatory change?
    •Which technologies are best suited to managing regulatory change?

    We have assembled a team of superheroes to debate how to tackle these challenges, and offer tips to help you combat compliance.

    Meet the superhero panel
    Devie Mohan, Co-Founder and CEO, Burnmark
    Lynn Molfetta, Global Head of Records Management, Deutsche Bank
    Matthew Bernstein, Information Management Strategist, MC Bernstein Data
    Ben Richmond, Founder and CEO, CUBE

    Exclusive Research Report Access!
    Register now to get your pre-launch copy of Burnmark’s latest research report ‘RegTech for Information Governance’, direct to your in-box immediately following the webinar.

    If you are a Chief Data Officer, Head of Information Governance, Head of Records Management or a Chief Compliance Officer, register now to discover if your information governance is standing up to regulatory change.
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    This 30-minute webinar explores practical examples of how Artificial Intelligence (AI) and Machine Learning (ML) is leveraged to drive regulatory change strategies based on our experience of bringing together customer best practice and the latest technology.

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Automating regulatory change for global financial institutions
Knowing about regulatory change is one thing. Having the regulatory intelligence and analytical capabilities to understand the impact of regulatory change on your business is a very different matter. It may take days or even weeks to re-evaluate your compliance status and remediate non-compliant gaps, especially when you are a financial institution operating in multi-jurisdictional, multi-state, and cross-border environments.

CUBE leverages AI-driven technology to automate the capture of global regulatory data, alert you to regulatory changes that pose a compliance risk to your business, pinpoint all policies, procedures, controls and records that are affected, and enable rapid remediation.

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