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Putting AI Governance to Work

Pragmatic Perspectives on managing algorithmic bias, model explainability, fairness, and trust in the Industry.

As AI infused systems become commonplace, this rapid growth of machine learning capabilities and increasing presence in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies.

AI governance is about AI being explainable, transparent, and ethical. How do financial institutions, telecommunication companies, retail, and media enterprises implement policies to avoid bias perpetuation, administer principles of trustworthy AI, and deploy their systems in an ethical, inclusive, and accountable manner? Our panel of experts will answer these practical questions with data driven KPIs to measure, and tools to equip the attendees for narrowing down the knowledge gap between data science experts and the variety of people who use, interact with, and are impacted by these technologies.

Today, organizations seek clarity and structure around AI systems and grapple with harnessing the potential of AI systems while ensuring that they do not exacerbate existing inequalities and biases, or even create new ones. A comprehensive AI governance framework is the answer to address these challenges along with model management, data consistency, and algorithmic transparency.

In this session, panelist will outline the tools, technologies, and provide practical advice needed to understand and monitor AI life-cycle. Please join the UST Team of experts to explore policy remedies to address the complex challenges associated with emerging technologies, operationalize these concepts in a production AI system—and crucially, create a culture of trust in AI.
Recorded Jun 30 2020 61 mins
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Presented by
Maor Ivgi, CTO, Stardat, Adnan Masood, Chief Architect, AI and Machine Learning, UST & Heather Dawe, UK Head of Data, UST
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    According to Gartner, on average a consumer privacy response costs about $1,400. One of the most significant costs involved is the labor required to discover and retrieve PII data from across various data repositories in typical organizations.

    This session will be all about PII - Personally Identifiable Information. We will highlight the issues you need to address to manage your PII. We will show you how machine learning and artificial intelligence address these challenges,

    The session will focus on the operational aspect of PII, as well as the technical aspects of how machine learning and artificial intelligence can solve these challenges. We will also address a number of other related topics:

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    Join us for this discussion to jumpstart your Privacy Compliance (GDPR, CCPA, HIPAA) program!

    Mark Keelan, Director of Consumer Privacy Practice at UST Global
    Steve Kerler, Co-Founder and Managing Partner at Privageo
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    Bruce Roton, CISSP, CISA, CISM, CIPP/US, C|EH, C|CISO, CRISC, ISO-27001, CGEIT, CSSGB(IT), ITIL, CSMCP
    It is a common axiom of cyber security wisdom that it is not a question of if an organization’s defenses will be breached, but only a question of when. Further, while cyber-attacks and data breaches are always business disrupting, they can also be very costly. Therefore, Time to Detection and Time to Effective Respond have become critical measurements for the success of any organization’s cyber security program. An effective and proactive Intruder Hunting Program, combined with a well-planned cyber response, can help stop cyber-attacks before they become business disrupting events, and should be a cornerstone of any Enterprise Cyber Security Program.
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    With cyber threats increasing in quantity and complexity, what strategy should CISOs adopt in order to be prepared and protected from constant and new-age attack tactics?

    In this webinar CyberProof and Microsoft Australia security leaders will team up to discuss how the cyber security landscape has been altered due to COVID-19 and how using automation and data analytics can combat increasing cyber threats.

    Hear from security experts:

    Richard Telleria - Managing Director, UST Global
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    Halim Santoso - Head of Business Development, Microsoft Australia
    Abbas Kudrati - CISO,CISM,CPDSE,CSX-P, Chief Cyber Security Advisor, Microsoft APAC
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    2. Variety: Testing semi-structured and unstructured data generated from Tweets, Google search queries, Connected Car or IoT Sensors, Internet/Mobile Banking transactions.

    3. Velocity: Need for speed in testing for data streaming at light speed from devices, digital platforms, transactions, and networks.

    4. Veracity: Critical role of testing teams in ensuring conformity, accuracy, consistency, and validity of Big Data.

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    The virtues of Big Data also make a business case for Automation of Big Data Testing.
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    We will discuss:
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    3. Demo of how these tools can be integrated into your DataOps pipeline.
  • Putting AI Governance to Work Recorded: Jun 30 2020 61 mins
    Maor Ivgi, CTO, Stardat, Adnan Masood, Chief Architect, AI and Machine Learning, UST & Heather Dawe, UK Head of Data, UST
    Pragmatic Perspectives on managing algorithmic bias, model explainability, fairness, and trust in the Industry.

    As AI infused systems become commonplace, this rapid growth of machine learning capabilities and increasing presence in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies.

    AI governance is about AI being explainable, transparent, and ethical. How do financial institutions, telecommunication companies, retail, and media enterprises implement policies to avoid bias perpetuation, administer principles of trustworthy AI, and deploy their systems in an ethical, inclusive, and accountable manner? Our panel of experts will answer these practical questions with data driven KPIs to measure, and tools to equip the attendees for narrowing down the knowledge gap between data science experts and the variety of people who use, interact with, and are impacted by these technologies.

    Today, organizations seek clarity and structure around AI systems and grapple with harnessing the potential of AI systems while ensuring that they do not exacerbate existing inequalities and biases, or even create new ones. A comprehensive AI governance framework is the answer to address these challenges along with model management, data consistency, and algorithmic transparency.

    In this session, panelist will outline the tools, technologies, and provide practical advice needed to understand and monitor AI life-cycle. Please join the UST Team of experts to explore policy remedies to address the complex challenges associated with emerging technologies, operationalize these concepts in a production AI system—and crucially, create a culture of trust in AI.
  • Practical Guide to using Salesforce for Privacy (CCPA, GDPR) Compliance Recorded: Jun 23 2020 60 mins
    Brad Kelso, Managing Partner & Co-Founder, Privageo and Scott Hines, Vice President, Privacy Practice, UST Global
    According to Gartner, on average a consumer privacy response costs about $1,400. In this webinar, we will show how you can streamline and reduce the cost while improving the quality of your consumer response and experience.

    We will review and demonstrate how you can use Salesforce to manage your privacy compliance program.

    Also, CCPA 2.0 is expected to hit the ballot in November 2020 and pass. This will result in the creation of a new regulatory agency to enforce CCPA compliance.

    If you have not already complied, you missed the first deadline. We will discuss why you should not wait and perhaps find yourself staring at large regulatory fines.

    We will discuss:

    • The ROI case for automation
    • Operating impacts of CCPA 2.0
    • How you can utilize Salesforce to manage privacy compliance requirements more efficiently

    Join us for this discussion to jumpstart your Privacy Compliance program!
  • Operationalizing your Analytics - Challenges and Best Practices Recorded: Jun 18 2020 55 mins
    Sripathi Jagannathan, Head of Data Engineering; Edward Biton, Principal Architect; Alejandro Iparraguirre, Product Engineer
    Data-driven organizations, like yours, should harness the full potential of Modern Business Intelligence platforms to unearth previously inaccessible insights.

    Why is this important? Because this will allow you to capitalize on all your data assets, be it first generation on-premise data warehouses, to next-generation centralized data lakes on the cloud, to the latest decentralized analytics with Data Fabric and Data Meshes.

    But a note of caution. Your teams need to be forearmed to successfully tackle the complexity associated with the data engineering pipeline, especially at the scale of modern analytical workloads.

    The data practitioners at UST Global have worked with global customers to overcome this complexity and operationalize analytics at scale.

    This has helped us gain some unique insights. One of our findings has been that our NextGen OLAP for Big Data platform reduces the TCO of analytics by up to 50%!

    In this webinar, we will discuss:

    - Challenges we observe in operationalizing analytics at scale – Frictions in your ingestion to insights journey
    - Generating real-time insights from structured data streams
    - Amplifying productivity through OLAP for petabyte scale through visual data engineering
    - Transforming data proliferation challenges to opportunities

    Join us at this session, as we share more learnings from our engagements.
  • Cracking the Code: Quality Engineering Models for Continuous Delivery Recorded: Jun 16 2020 62 mins
    Featuring guest speaker, Forrester analyst, Diego Lo Giudice and UST's Head of Testing & Quality Engineering, George Ukkuru
    As continuous delivery practices accelerate the volume of releases, test teams must find ways to validate software performance faster without compromising quality. Traditional testing practices can’t keep pace with modern application developments, and scaling testing for efficiency, accuracy and speed is critical. Test Automation has become an essential element of the end to end test lifecycle in every organization. Most tool-based testing approaches fall short of addressing test lifecycle automation needs or make it quite challenging. This has paved the way to platform-centric Quality Engineering.

    Join Forrester’s expert on SDLC processes and practices--our guest speaker, Vice President and Principal Analyst Diego Lo Giudice – and UST Global’ s Head of Testing and Quality Engineering Services, George Ukkuru, for a webinar discussing the modern methods and techniques around quality engineering. Learn about how UST’s quality engineering platform, NoSkript™ can improve quality, efficiency, and cost while accelerating cycle time.

    What you will learn:
    - How to apply Shift Left and Shift Right practices for early defect identification and to minimize business risks
    - Why should a quality engineering team focus on an API-led automation approach
    - How can automated test design help to optimize test cases and reduce maintenance efforts
    - How to use prefabricated test data to improve the accuracy of Artificial Intelligence Solutions
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    Founder & Research Vice President at 451 Research, Nick Patience, and Sajesh Gopinath, UST SmartOps GM
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    - Why do you now need Intelligent Process Automation (IPA)?
    - What are the different approaches to IPA?
    - How should business leaders increase traction across an organization to anchor its strengths?
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    Shamir Ahamed, Test Automation Architect and Abhilash Giridharan, Test Automation Architect
    ELIZA Chatbot (1966), A.L.I.C.E bot (1995), IBM’s Watson (2006), Siri (2010), Google Assistant (2012) to Amazon Alexa (2014).
    The journey of Conversational AI Chatbots and Digital Virtual Assistants has been a fascinating story and it continues to unfold!
    But how did these Virtual Assistant systems become so human-like and intuitive?
    Natural Language Understanding (NLU), Natural Language Processing (NLP), Machine Learning (ML) have indeed played an important role.
    However, in this webinar, we will deep dive into the role of Test Automation in helping organizations deliver accurate and efficient AI Chatbots and Digital Virtual Assistant products.

    The Webinar Agenda:

    - Why leveraging the full potential of AI in the Testing of Chatbots is the success mantra?
    - What are the challenges that your team may encounter during the testing of Chatbots?
    - We will discuss some innovative test automation techniques to help you evaluate QE parameters.
    - We will also learn how you can capture data analytics for functional and non-functional QE parameters


    Who should attend this webinar?
    Individuals/teams who want to understand how an end-to-end test automation platform can help in training and testing of human-like Conversational AI Chatbot and other Virtual Assistant Systems.

    Please meet your webinar hosts:

    Shamir Ahamed, Test Automation Architect and Abhilash Giridharan, Test Automation Architect
  • How Walk-In, Walk-Out Frictionless Technology Improves Customer Experience Recorded: Jun 4 2020 30 mins
    Ken Bolick, RBS, Erika Strandberg, Stanford University Mahesh Athalye, UST, Krishna Prasad, UST
    Frictionless shopping was gaining popularity before the pandemic, but new retail realities are increasing the popularity of this technology that empowers shoppers to just walk in, shop and walk out.

    Join us for a 30-minute panel discussion exploring what it was like to open two stores that utilize Walk-in Walk-out shopping technology. This talk will investigate how this retail solution combines computer vision cameras, AI, sensor and edge computing technology to deliver low-contact customer experience and operational efficiency. We will also investigate the implications of using AI within retail and the ways it is influencing shopping in this new paradigm.

    Moderated by UST Global’s Chief Customer Officer, Krishna Prasad, panelists Ken Bolick, Head of IT Innovation, RBS (an Ahold-Delahaize Company), Erika Strandberg, Director of Stanford University’s AI Lab, and UST Global’s Mahesh Athalye, Go-to-Market Leader for UST Walk-In, Walk-Out Technology. Each will share their perspectives on how this evolutionary technology contributes to a more customer centric shopping experience.

    What you will learn:
    • How frictionless shopping aligns with the new realties for retailers to follow reopening guidelines and instill consumer confidence
    • How walk-in-walk-out shopping works.
    • What’s involved in setting up a frictionless shopping store or cafeteria?
    • How AI keep track of what customers buy
  • Algorithmic Bias: How to understand, manage, and mitigate Recorded: Jun 2 2020 60 mins
    Maor Ivgi, CTO, Stardat, Heather Dawe, UK Head of Data, UST & Adnan Masood, Chief Architect of AI and Machine Learning, UST
    Do you also feel concerned about the urgent need for consistency in data, transparency in algorithms, and the prevention of the underlying bias in AI/ML?

    Then join us for this live webinar discussion and learn how you can achieve Fairness, Accountability, and Transparency (FAT) in AI Systems.

    The following is the agenda of this discussion:
    • What are the different types of bias?
    • How to understand and monitor Data, throughout the AI Life-cycle?
    • How to deal with the trade-off between the accuracy and fairness of Machine Learning Algorithms?
    • How to address Engineering and Organizational challenges and build a culture for trust-worthy AI systems?

    Moderator:
    Megan Heath, Commercial Director for UK, UST Global

    Panelists:
    Maor Ivgi, Chief Technology Officer, Stardat
    Heather Dawe, UK Head of Data, UST Global
    Adnan Masood, Chief Architect of AI and Machine Learning, UST Global
  • Create Better App Experience for your users with Remote Testing Recorded: May 28 2020 62 mins
    Avinash Tiwari, Co-Founder, pCloudy and Mhahesh Muraleedharan, Test Architect, UST Global
    As the world battles with turbulent, uncertain times, most of the workforce across the globe is working remotely. Organisations have acknowledged the importance of remote working as it helps in maintaining business continuity. However, in some scenarios, it is difficult to maintain business continuity or distribute resources within the teams while working remotely.

    We will address the following issues as part of the webinar:
    • How would you test your app on multiple mobile devices if you have a physical device infrastructure?
    • How can you share the devices with other testers and developers in your team working from different locations?
    • How will you make sure that the app works smoothly on all the popular devices?
Accelerating Possibilities Through Digital Innovation
UST Global is a technology partner dedicated to transforming businesses, communities, and the people who live within them. Operating in 25 countries, we deliver future-ready digital transformation strategy services, products, and platforms that create new possibilities and help you imagine what’s next in financial services, healthcare, retail, manufacturing, semiconductor, and communications.

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  • Title: Putting AI Governance to Work
  • Live at: Jun 30 2020 5:00 pm
  • Presented by: Maor Ivgi, CTO, Stardat, Adnan Masood, Chief Architect, AI and Machine Learning, UST & Heather Dawe, UK Head of Data, UST
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