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Artificial Intelligence

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  • Does it matter if an algorithm can't explain how it knows what it knows?
    Does it matter if an algorithm can't explain how it knows what it knows? Beau Walker, Founder, Method Data Science Recorded: May 24 2018 34 mins
    With the General Data Protection Regulation (GDPR) becoming enforceable in the EU on May 25, 2018, many data scientists are worried about the impact that this regulation and similar initiatives in other countries that give consumers a "right to explanation" of decisions made by algorithms will have on the field of predictive and prescriptive analytics.

    In this session, Beau will discuss the role of interpretable algorithms in data science as well as explore tools and methods for explaining high-performing algorithms.

    Beau Walker has a Juris Doctorate (law degree) and BS and MS Degrees in Biology and Ecology and Evolution. Beau has worked in many domains including academia, pharma, healthcare, life sciences, insurance, legal, financial services, marketing, and IoT.
  • Semantic AI: Bringing Machine Learning and Knowledge Graphs Together
    Semantic AI: Bringing Machine Learning and Knowledge Graphs Together Kirk Borne, Principal Data Scientist, Booz Allen Hamilton & Andreas Blumauer, CEO, Managing Partner Semantic Web Company Recorded: May 23 2018 64 mins
    Implementing AI applications based on machine learning is a significant topic for organizations embracing digital transformation. By 2020, 30% of CIOs will include AI in their top five investment priorities according to Gartner’s Top 10 Strategic Technology Trends for 2018: Intelligent Apps and Analytics. But to deliver on the AI promise, organizations need to generate good quality data to train the algorithms. Failure to do so will result in the following scenario: "When you automate a mess, you get an automated mess."

    This webinar covers:

    - An introduction to machine learning use cases and challenges provided by Kirk Borne, Principal Data Scientist at Booz Allen Hamilton and top data science and big data influencer.
    - How to achieve good data quality based on harmonized semantic metadata presented by Andreas Blumauer, CEO and co-founder of Semantic Web Company and a pioneer in the application of semantic web standards for enterprise data integration.
    - How to apply a combined approach when semantic knowledge models and machine learning build the basis of your cognitive computing. (See Attachment: The Knowledge Graph as the Default Data Model for Machine Learning)
    - Why a combination of machine and human computation approaches is required, not only from an ethical but also from a technical perspective.
  • How AI is Changing Marketing
    How AI is Changing Marketing Gil Allouche, CEO, Metadata.io Recorded: May 17 2018 43 mins
    In this webinar, Metadata.io CEO Gil Allouche will talk about the different ways AI is being used by marketers. From analyzing data to orchestrating new marketing campaigns, AI is powering marketing activities in new and exciting ways and affecting interactions throughout the entire customer lifecycle. As an example of how AI can have a tremendous impact on marketing practices, Gil will focus on its role in lead generation. Webinar attendees will learn:

    - What Machine Learning is in relation to AI and how it connects your data to find patterns
    - Examples of how machine learning can identify target audiences, including the 20 percent that creates 80 percent of your revenue
    - How AI technology can help marketers prioritize their budgets to focus on the most effective programs
    - Starting with small, iterative uses of AI in marketing can be the most effective way to understand what will yield the most ROI

    Gil Allouche founded Metadata.io to make demand generation easy for non-technical marketers. The Metadata.io platform and AI Operator evolved from Gil's experiences hacking various marketing and CRM systems to get the solutions he needed.
  • The Teslification of Banking: The Role of Ethical AI in Sustainable Finance
    The Teslification of Banking: The Role of Ethical AI in Sustainable Finance Richard Peers, Director Financial Services Industry, Microsoft Recorded: May 17 2018 37 mins
    Artificial Intelligence has a huge role to play in banking, no more so than in sustainable finance. However, data is very patchy and much source data is not available to inform Sustainable Finance. The challenge as we set off on this new journey is to make sure that the data and algorithms used are transparent and unbiased.

    In this session, Richard Peers, Director of Financial Services industry at Microsoft will share how disruption and new entrants are bringing new business models and technology to play in banking as in other industries like the Auto Industry

    One new area is sustainable Finance, a voluntary initiative as part of the COP agreement on climate change but the data to inform the markets is a challenge. Big Data, Machine Learning and AI can help resolve this.

    But with such important issues at stake, this session will outline how AI much be designed to ethical principles

    Tune in to this session for a high-level view of some key trends and technologies in banking. Get insight into sustainable finance; why AI can help and why Ethical AI is important; and the Microsoft principles for Ethical AI.
  • Customer-Centered AI: A Radical Strategy
    Customer-Centered AI: A Radical Strategy Geordie Kaytes, Partner, Heroic Recorded: May 16 2018 34 mins
    AI is a powerful tool, but often companies get more excited about their technology than in the customer value they’re creating. Geordie Kaytes will share a framework for building customer-centered AI products. You’ll learn how to craft a far-reaching vision and strategy centered around customer needs and balance that vision with the day-to-day needs of your company.

    Learn a framework for creating and communicating a vision that describes the overall direction of your AI product, a defined product strategy, a cross-functional roadmap aligned with the strategy, and a list of metrics that track progress towards the strategy

    About the Speaker: Geordie Kaytes is the director of UX strategy for Boston-area UI/UX studio Fresh Tilled Soil and a partner at Heroic (https://www.heroicteam.com), a design leadership coaching firm that helps growing companies scale their digital product capabilities. A digital product design leader with deep experience in design process transformation and cross-functional expertise in design, strategy, and technology, Geordie has helped companies in a broad range of industries develop a 360-degree view of their product design processes. Previously, he did his obligatory tour of duty in management consulting. He holds a BA from Yale in political science. He is a coauthor of the Medium publication Radical Product.
  • Applying AI and Machine Learning to Fight Fraud at Scale
    Applying AI and Machine Learning to Fight Fraud at Scale Julian Wong, VP of Customer Success, DataVisor Recorded: May 16 2018 46 mins
    With large-scale data breaches in the news almost every month, financial institutions are becoming increasingly vulnerable to synthetic identity fraud, account takeovers and other types of malicious activity.

    Fraudsters today have access to powerful computing resources and tools, giving them the ability to launch large-scale sophisticated attacks. This has led to an increasing number of businesses turning to more advanced methods for identifying suspicious activity and mitigating risk.

    Tune into this session to learn about new fraud trends and to also find out how AI and big data technology can be applied to uncover new fraud patterns early before they have time to do serious damage.
  • Intelligent Agents and a New Class of Perceived Errors
    Intelligent Agents and a New Class of Perceived Errors Dennis R. Mortensen, CEO and Founder, x.ai Recorded: May 16 2018 47 mins
    As we move to the conversational UI and take advantage of NLP and AI in general, we change the way we interact with technology dramatically. The standard GUI is many times fully eliminated, leading to novel challenges in UX. Tasks are removed from the user’s oversight with invisible or seamless software, and the output is not always as expected. But sometimes that output is correct within the parameters given and simply perceived as an error.

    Dennis will talk through where x.ai has encountered error perception issues as we seek to develop frictionless software, how we thought about the problem and the communication strategies we’re exploring to resolve it.
  • How Banks Can Use The Power of AI to Fight Fraud
    How Banks Can Use The Power of AI to Fight Fraud Dr. Pedro Bizarro, Chief Science Officer, Feedzai Recorded: May 16 2018 61 mins
    As artificial intelligence and machine learning takes the stage, its wide availability is creating an arms race. Financial institutions are leveraging the predictive power of machine learning to uncover hidden patterns and defeat fraud. Meanwhile, criminals are scrambling to find the institutions with the weakest links.

    Organizations in financial services are sorting through the generalized hype about machine learning as they seek to implement the best solution. This webinar can help.

    Join Feedzai’s Chief Science Officer Pedro Bizarro as he shares his insights from his years of developing the data science behind Feedzai’s AI-enabled fraud detection platform, which runs inside some of the world’s largest banks, acquirers, and merchants.

    Watch this webinar to discover:
    - Why machine learning is overthrowing rules
    - The secrets to great models in fraud detection
    - The key use cases in financial services that will be transformed
    - And why “OpenML,” which allows data scientists to import existing data science approaches to a third party system, represents the next frontier
  • Network Telemetry & Analytics in the Age of Big Data & AI
    Network Telemetry & Analytics in the Age of Big Data & AI Ruturaj Pathak, Senior Product Manager, Networking BU, Inventec Recorded: May 15 2018 35 mins
    We are seeing a sea change in networking. SDN has enabled improvements in network telemetry and analytics.

    In this presentation, I will talk about the current challenges that are out there and how the technology change is helping us to improve the overall network telemetry. Furthermore, I will share how deep learning techniques are being used in this field. Please join this webinar to understand how the field of network telemetry is changing.
  • The Predictive Bank of the Future: How AI will Change Banking Forever
    The Predictive Bank of the Future: How AI will Change Banking Forever Tariq Ali Asghar, CEO, Emerging Star investment Group Recorded: May 15 2018 47 mins
    This Webinar explains how Big Data, Artificial Intelligence, and Machine Learning is going to transform the future Banking Industry. Banks which can manage this Big Data evolution successfully will survive and thrive, and give a more holistic and personalized customer service, thereby increasing their revenues tremendously.

    The key takeaway from this Webinar is that “Right information at the right place and the right time is going to be the real money and will shape the future of Banking Industry.”

    Tariq is a Fintech Expert, writer, and thinker based in Toronto Canada and is currently working on an initiative to disrupt the conventional Banking Industry with “Big Data Predictive Analytics Model” of his startup.

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