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[Ep.5] Quantum Machine Learning

Quantum machine learning is an emerging interdisciplinary research area intersecting quantum physics & machine learning. It is often associated with machine learning methods applied to data from quantum experiments. Quantum computers provide the computational advantage to classify objects in nth dimensions.

Quantum machine learning is applied in the areas of nano-particles, material discovery, chemical design, drug design, pattern recognition & classification. Use cases include: creating new materials for space tech, wearable tech, renewable energy, nanotech, new drugs & chemical combos, genetic science, biometrics, IoT devices & universe discovery.

Quantum walks are a quantum analogue to random walks and have substantially reduced time-consumption in Monte Carlo simulations for mixing of Markov chains (Ashley Montanaro, 2015). These quantum algorithms are applied in wealth management & trading.

Key TakeAways
-Discover classic machine learning & quantum machine learning methods & applications in various areas.
-Learn how quantum algorithms are applied in wealth management and trading.
-A demo on quantum algorithms

Bio: Bhagvan Kommadi is the Founder of Architect Corner & has around 18 years’ experience in the industry, ranging from large scale enterprise development to helping incubate software product startups. He has a Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) & Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is a member of IFX forum, Oracle JCP and participant in Java Community Process.

He founded Quantica Computacao, the first quantum computing startup in India. Bhagvan has engineered & developed simulators & tools in the area of quantum technology using IBM Q, Microsoft Q# & Google QScript. The company's focus is on developing quantum cryptographic tools, which will provide quantum-proof data security that will help banking institutions protect their transactions.
Recorded Apr 5 2019 48 mins
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Bhagvan Kommadi, Founder of Quantica Computacao, India's first quantum computing startup
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  • [Ep.5] Quantum Machine Learning Recorded: Apr 5 2019 48 mins
    Bhagvan Kommadi, Founder of Quantica Computacao, India's first quantum computing startup
    Quantum machine learning is an emerging interdisciplinary research area intersecting quantum physics & machine learning. It is often associated with machine learning methods applied to data from quantum experiments. Quantum computers provide the computational advantage to classify objects in nth dimensions.

    Quantum machine learning is applied in the areas of nano-particles, material discovery, chemical design, drug design, pattern recognition & classification. Use cases include: creating new materials for space tech, wearable tech, renewable energy, nanotech, new drugs & chemical combos, genetic science, biometrics, IoT devices & universe discovery.

    Quantum walks are a quantum analogue to random walks and have substantially reduced time-consumption in Monte Carlo simulations for mixing of Markov chains (Ashley Montanaro, 2015). These quantum algorithms are applied in wealth management & trading.

    Key TakeAways
    -Discover classic machine learning & quantum machine learning methods & applications in various areas.
    -Learn how quantum algorithms are applied in wealth management and trading.
    -A demo on quantum algorithms

    Bio: Bhagvan Kommadi is the Founder of Architect Corner & has around 18 years’ experience in the industry, ranging from large scale enterprise development to helping incubate software product startups. He has a Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) & Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is a member of IFX forum, Oracle JCP and participant in Java Community Process.

    He founded Quantica Computacao, the first quantum computing startup in India. Bhagvan has engineered & developed simulators & tools in the area of quantum technology using IBM Q, Microsoft Q# & Google QScript. The company's focus is on developing quantum cryptographic tools, which will provide quantum-proof data security that will help banking institutions protect their transactions.
  • [Ep.4] Analytics Driven Personalized Healthcare Using Machine Learning and AI Recorded: Mar 12 2019 61 mins
    Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcare
    Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:



    Descriptive (what happened)
    Diagnostic (why it happened)
    Predictive (what is likely to happen)
    Prescriptive (what should we do)
    Personalized (what should “I” do)


    Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.
  • [Ep.3] AI+Machine Learning and AR+VR Applications in Real Life Recorded: Feb 26 2019 59 mins
    Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundries
    In this webinar, we will describe a number of use cases spanning Artificial Intelligence, Machine Learning, Augmented Reality and Virtual Reality that are propelling enterprises to realize significant value, increase efficiencies and provide unparalleled customer and employee experiences.

    With rampant advances in deep learning technologies, access to large volumes of data, massive innovations in AR/VR devices and software, we are in a unique position, today, to leverage them for a plethora of use cases that are addressing real-life scenarios positively. They include customer service automation, employee productivity, training, visualization and remote troubleshooting, inspection and documentation.

    About the Speakers:

    With over 22 years of start-up and large-company experience in the high-tech industry, Girish is the CEO of Muck.AI, helping start-ups and enterprises realize the benefits of AI/ML, Cloud, Security and Networking. Girish served as the VP of Business Development & Strategy at Passage AI (www.passage.ai), a Silicon Valley startup developing conversational chatbot solutions using deep learning, natural language processing and artificial intelligence. He worked with Juniper Networks, Reliance Jio, Entropic Communications, ARRIS Group and SBC Labs, helping bring security, cloud, broadband and wireless communications solutions to market. Girish serves as an advisor and mentor to a number of start-ups.

    DP Prakash is presently the worldwide leader in the CIO office of Global Foundries for Innovation in enterprise productivity through AI ML AR VR applications. In 2018, DP Prakash and his Team have created world leading solutions in AI ML and AR VR including the ability to visualize walking inside chips made with nano technology.
  • [Ep.2] What's Big in BI: How to Accelerate Your BI & Analytics Strategy Recorded: Jan 3 2019 60 mins
    Cory Minton, Pratik Verma, William McKnight and Rob Antczak
    This webinar is part of BrightTALK's What's Big in BI series.

    The data revolution has resulted in a seemingly endless variety of tools and techniques designed to extract insights from big data and gain a decisive competitive edge in the marketplace. Many successful organizations across major industries like Financial Services, Healthcare and Retail, now analyze the data generated by everyday business activities and use the resulting insights to inform critical business decisions.

    Tune in to learn more about how industry leaders are becoming Modern BI powerhouses and get expert panelist advice on how to accelerate your own business intelligence and analytics strategy in 2019 and beyond.

    Moderator:
    Cory Minton, Founder & CEO of Big Data Beard

    Panelists:
    Pratik Verma, CEO of BlueTalon
    William McKnight, President of McKnight Consulting Group
    Rob Antczak, CTO of PowerAdvocate
  • [Ep.1] What's Big in BI: An Ethical Foundation for the AI-Driven Future Recorded: Oct 23 2018 47 mins
    Harry Glaser, Co-founder and CEO of Periscope Data and Erin Junio, Content Manager at BrightTALK
    This webinar is part of BrightTALK's What's Big in BI series.

    What is the moral responsibility of a data team today? As artificial intelligence and machine learning technologies become part of our everyday life and as data and big data insights become accessible to everyone, CDOs and data teams are taking on a very important moral role as the conscience of the corporation.

    In this episode of What's Big in BI, Harry Glaser highlights the risks companies will face if they don't empower data teams to lead the way for ethical data use across a variety of functions including business intelligence, analytics, big data initiatives and more.

    Harry founded Periscope Data in 2012 with co-founder Tom O’Neill. The two have grown Periscope Data to serve more than 1000 customers. Glaser was previously at Google, and graduated from the University of Rochester with a bachelor’s degree in computer science.
Everything you need to know about the latest in Business Intelligence
BrightTALK's What's BIg in BI Series is an episodic series of panels where we bring together global thought leaders and speakers in the Business Intelligence and Analytics space to discuss the latest trends, technologies and compelling market opportunities across various verticals and industries.

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  • Live at: Apr 5 2019 5:00 pm
  • Presented by: Bhagvan Kommadi, Founder of Quantica Computacao, India's first quantum computing startup
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