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Business Intelligence and Analytics

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  • Improve Customer Experience through Multi-Arm Bandit
    Improve Customer Experience through Multi-Arm Bandit Jeremy Gu, Sr. Data Scientist, Uber Recorded: Jun 21 2018 59 mins
    In order to accelerate innovation and learning, the data science team at Uber is looking to optimize Driver, Rider, Eater, Restaurant and Courier experience through reinforcement learning methods.

    The team has implemented bandits methods of optimization which learn iteratively and rapidly from a continuous evaluation of related metric performance. Recently, we completed an AI-powered experiment using bandits techniques for content optimization to improve the customer engagement. The technique helped improve customer experience compared to any classic hypothesis testing methods.

    In this session, we will explain various use cases at Uber that this technique has proven its value and how bandits have helped optimize and improve customer experience and engagement at Uber.
  • Using Energy Harvesting to Create Self Sustaining IoT Devices
    Using Energy Harvesting to Create Self Sustaining IoT Devices Sam Jones, R&D Engineer, PowerFilm Solar Recorded: Jun 21 2018 61 mins
    Today’s ultra low-power sensors and wireless modules not only allow batteries to last longer but also make completely self-sustaining IoT devices possible. This webinar will overview energy harvesting methods including photovoltaic, piezoelectric, thermoelectric, and RF with a focus on indoor ambient light collection.

    Practical applications and how to integrate solar energy harvesters into electronics will also be discussed. An indoor solar-powered Bluetooth sensor will be analyzed as a use case example.
  • AI is the Catalyst of IoT
    AI is the Catalyst of IoT Prof. Ahmed Banafa, IoT Expert, Faculty, Author and Keynote Speaker, SJSU Recorded: Jun 21 2018 53 mins
    For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention.

    Join this webcast to learn and discuss the best practices and trends coming for AI in IoT.

    About the speaker:
    Ahmed Banafa has extensive experience in research, operations and management, with focus on IoT, Blockchain and AI. He is a reviewer and a technical contributor for the publication of several technical books. He served as a faculty at well-known universities and colleges, including the University of California, Berkeley; California State University-East Bay; San Jose State University; and University of Massachusetts. He is the recipient of several awards, including Distinguished Tenured Staff Award of 2013, Instructor of the year for 2013, 2014, and Certificate of Honor from the City and County of San Francisco. He was named as number one tech voice to follow by LinkedIn in 2016, his researches featured in many reputable sites and magazines including Forbes, IEEE and MIT Technology Review, and Interviewed by ABC, CBS, NBC and Fox TV and Radio stations.
  • Why Feature Stores Matter When it Comes to AI and IoT
    Why Feature Stores Matter When it Comes to AI and IoT Gary Richardson, Managing Director, AI Data & Analytics at 6point6 Recorded: Jun 21 2018 46 mins
    The need to make IoT devices smarter is a trend that will continue long into the future, enabling the "smart" in Cities, Supply Chains and every other area IoT is making an impact.

    Making small decisions at the edge on the device ensures that the devices remain smart at all times. Building the feature store provides the ability for ongoing training and validation of the machine and deep learning models. Without the feature store, this process becomes arduous.

    Join this interactive webinar to learn more about:
    - What is a feature store and how is it different from Data Lakes
    - Gain an understanding of repeatable feature generation and best practices
    - What are the technology considerations to enable feature stores

    About the Speaker:
    Gary is the Managing Director for AI, Data and Analytics at 6point6. With over 17 years’ of experience, Gary leads a team of data scientists and data engineers in the agile development of AI and Machine Learning solutions. The focus of the team is bringing a collaborative approach to analytics, underpinned by machine learning and data engineering. He believes mainstream business adoption of AI solutions are the key to accelerating innovation enabling businesses to out compete, reduce cost and ensure compliance.
  • Winning the Red Queen's Race with IoT and Artificial Intelligence
    Winning the Red Queen's Race with IoT and Artificial Intelligence Jen Stirrup, Director, Data Relish Recorded: Jun 20 2018 39 mins
    Artificial Intelligence is a part of our daily lives through the use of technologies like virtual assistants such as Cortana, smart homes, and automated customer service. We also have the power of the Internet of Things technology in organizations. How can we put them together for success in our organizations?

    Businesses are running the Red Queen's race not just to win, but to survive in a world where Artificial Intelligence and IoT are becoming the present as well as the future of technology, and ideas are developing into reality at accelerated rates.

    How can you help your company to evolve, adapt and succeed using IoT and Artificial Intelligence to stay at the forefront of the competition, and win the Red Queen's Race? What are the potential issues, complications, and benefits that the future of technology could bring to us and our organisations, right now?

    In this session, Jen Stirrup will explain the quick wins to win the Red Queen's Race in AI and IoT to help you and your organization to win the Red Queen's race.
  • Big Data & IoT Challenges for the Financial Services Industry
    Big Data & IoT Challenges for the Financial Services Industry Tariq Ali Asghar, CEO, Emerging Star investment Group Recorded: Jun 19 2018 37 mins
    This webinar explains how Big Data in the context of IoT is going to impact Financial Services Organizations and what steps these incumbent organizations need to undertake for benefitting from this mega trend instead of getting drowned by it.

    The key take-away from this webinar is that “As financial services companies embark on a journey to gain a better understanding of customers in order to provide effective and differentiated services, the amount of data is growing, IoT is multiplying this growth of data, and data structures are becoming more complex. Fintech Organizations need to develop technical capabilities to handle this Big Data and turn it to their advantage.”

    About the speaker:
    Tariq is a Fintech Expert, writer and thinker based in Toronto Canada and is currently working on an initiative to disrupt the conventional Insurance Industry with “Block chain and IOT applications to the insurance industry” for his startup.
  • Building Event-Driven Systems at the Speed of IoT
    Building Event-Driven Systems at the Speed of IoT Blaine Mathieu, CMO, VANTIQ Recorded: Jun 19 2018 52 mins
    Legacy development approaches and tools simply aren’t architected to handle the enormous flow of real-time, event-driven, data streams generated by IoT devices, existing systems, and people.

    In this session, learn how the revolution in event-driven application platforms enable innovative companies to develop, deploy and run real-time enterprise applications with dramatically reduced time-to-market, significantly lowered development and maintenance costs, and maximized agility in the face of requirements for continuous innovation and digital transformation.
  • UCC Series [Ep. 5]: Conference Room of the Future
    UCC Series [Ep. 5]: Conference Room of the Future Robin Gareiss, President & Founder, Nemertes Research Recorded: May 30 2018 58 mins
    At most organizations, conference rooms are less than perfect--and that affects the productivity of any meeting. Inconsistency is the cornerstone of meeting room space, whether it's the power outlet locations, wired or wireless connectivity, brand of digital whiteboard, or video conferencing capabilities. That's why many companies are investing in "Conference Room of the Future" initiatives.

    Nemertes recently conducted research among 600+ global organizations, and this webinar will focus on best practices.

    It will address the following:
    • What technologies are crucial to effective meetings?
    • Who should run the meeting-room overhauls for the most success --IT or facilities?
    • What are the differences between smaller, huddle rooms and large conference rooms, in terms of user expectations?
    • How do advanced technologies, such as artificial intelligence and Internet of Things, play a role in meeting rooms?
    • What should IT leaders look for in management and monitoring tools?

    We look forward to sharing this information with you and answering your questions!
  • 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.

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