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    C++Now 2018: Charley Bay “A Quantum Data Structure For Classical Computers”

    — Presentation Slides, PDFs, Source Code and other presenter materials are available at: — Classical computing fundamentally occurs through sequenced access to (mutable) state. In contrast, quantum computing relies upon the phenomenon of quantum interference, where computed results obscure the cause-and-effect reasoning that would otherwise be achieved through ordered operations. The implication is that quantum […] More

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    How do we use human data in risk assessment?

    The exponential growth and availability of data in science theoretically provide risk assessors with more and more useful evidence facilitating their overall work. However, not all types of data are always accessible and, when they are, they have to be used with care: this is the case of human data. But what is it, and […] More

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    Alternative Data: The Financial Services Secret Sauce

    In the world of finance, adapting to new technologies and data practices are crucial to staying competitive. In this video, Joe Caserta reveals the latest methods for success in financial services and explains how alternative data powers ROI, leading those who use it ahead of the competition. More

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    Who Is Using Alternative Data

    A panel of experts, including Peter Hafez, Chief Data Scientist at RavenPack, discusses who is using alternative data. RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured textual content. The company’s products allow clients to enhance returns, […] More

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    Data ingestion, stream processing and sentiment analysis pipeline using Twitter data example

    Follow the conversation between Lena and Suz and learn about setting up a data ingestion and processing system consisting of event producer, reliable event aggregation and consumer using Twitter client, Event Hubs and Spark on Azure Databricks as an example. Lena and Suz are also discussing alternative options for stream processing, and how it can […] More

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    Why We Can’t Trust the EPA’s Pollution Data

    –Rachel Leven, investigative reporter for the Center for Public Integrity, joins David to discuss how and why the Environmental Protection Agency’s pollution estimates are unreliable -Become a Member: -Support Our Patreon: -Donate via Bitcoin: 15evMNUN1g4qdRxywbHFCKNfdCTjxtztfj -Donate via Ethereum: 0xe3E6b538E1CD21D48Ff1Ddf2D744ea8B95Ba1930 -Donate via Litecoin: LhNVT9j5gQj8U1AbwLzwfoc5okDoiFn4Mt -Support when you buy cryptocurrency: -Follow David on Twitter: -Follow David on Instagram: […] More

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    Seeking Alpha in Alternative Data

    In the JP Morgan May 2017 report titled “Big Data and AI Strategies: Machine Learning and Alternative Data Approach to Investing” authored by Marko Kolanovic and Rajesh T. Krishnamachari, a report was cited which states 90% of the data in the world today has been created in the past two years alone, and just 0.5% […] More

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    Webinar: Three Dimensional Time Working with Alternative Data

    Quantopian Engineer, Kathryn Glowinski, presents “Three-Dimensional Time: Working with Alternative Data.” In this talk Kathryn examines how we typically view data through the lens of time, and why, generally, that typical approach is wrong. At Quantopian, we’ve tried several ways of handling data with regards to time, and Kathryn will talk about lessons learned along […] More

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    Panel: Alternative Data – Why Should You Care?

    5th Annual RavenPack Research Symposium: The Big Data & Machine Learning Revolution. September 19, 2017 in New York City. This panel addresses why the investment community should pay attention to alternative data that is set to disrupt the way we analyze financial markets. Moderator: Marko Kolanovic, Global Head of Quantitative and Derivatives Strategy, J.P. Morgan […] More

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    Global Warming Temperature Data Exposed as Systematic Science FRAUD

    A rational review of global warming data has unveiled systematic scientific fraud to alter temperature data in support of the global warming false narrative. This is the largest discovery of scientific fraud in the history of science, and it shows that “global warming” and “climate change” are elaborate science hoaxes rooted in fraud, not fact. […] More

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