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O'Reilly Meet the Expert: Mark Treveil on MLOps [Official Replay]

MLOps is a set of processes that can help today’s organizations get value from data science by reducing friction throughout pipelines and workflows. However, implementing MLOps is easier said than done because it touches so many teams, people, and processes across the organization — it’s larger than just model monitoring in production. Through his experience working with global organizations on governance and MLOps topics, Mark will outline the key components of a robust (and successful) MLOps strategy.

Please note that the original session happened in April 2021 and was accessible to subscribers of O'Reilly's learning platform. This is a recording, so the polls and other interactive elements will not be available.
Recorded Apr 27 2021 59 mins
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Mark Treveil, Senior Director of Product Management at Dataiku
Presentation preview: O'Reilly Meet the Expert: Mark Treveil on MLOps [Official Replay]

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    It's vital for Retail & CPG industries to adapt to rapidly changing consumer demands in challenging and ever-changing environments. So, join us for our new virtual series highlighting the use cases capable of boosting your business in the present, and in the near, post-Covid, future!
     
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    As Darwin said, “It is not the strongest of the species that survives, nor the most intelligent; it is the one most adaptable to change.”

    Speaker Bio: Rata Jacquemart is a data science project leader at Dataiku, helping customers in various industries building real & measurable business impacts with data science. She holds a PhD in Robotics & applied Mathematics. Before joining Dataiku, she was a data scientist for multiple top companies as the Boston Consulting Group (BCG GAMMA), fifty-five and Telenor where she specialized in retail/ e-commerce, CPG and Telco industries. Before starting her data science journey, she was a researcher in robotics and remote sensing leading projects in using satellite data for Agriculture and Meteorology applications.
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    Salman Shams, Data Analyst at NHS
    [IMPORTANT NOTICE] Due to unforeseen circumstances today’s meetup with Salman Shams from NHS England will be indefinitely postponed - the new date will be confirmed in the near future. Apologies for any inconvenience caused, we look forward to seeing you at our next meetup with Conor McCabe from ASOS.

    Data or information is now the driving force behind everything we do. Whether it is realising how many district nurses we need to serve each specific area within NW London, or finding out what best we can do for a prosthetic limb so that the user feels more in control and feels it is their own arm. Machine learning, analysis of data, and extrapolating using known markers has helped scientists, data analysts, and businesses decide what direction they want to take in providing the right kind of services and products for their clients. This presentation will focus mainly on how data analysis in the NHS, being a youth worker with Tower Hamlets, and being a research scientist doing a PhD can all be bound together using the same thread that is data.

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    Presenters:
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    Steve Franks, Solution Architect, Dataiku

    Please note that by registering for this event you agree that your personal data will be shared with Dataiku's partners Snowflake and Deloitte. They may contact you with information that might be of interest to you.
    Snowflake Privacy Terms: https://www.snowflake.com/privacy-policy/
    Deloitte Privacy Terms: https://www2.deloitte.com/us/en/legal/privacy.html
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    Forecasting has been used since the 1950s in anticipating risks and making decisions. But in the era of AI and algorithms, older modeling techniques fail to integrate the amounts of data sources needed to produce results that are accurate enough for modern business.

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  • How to Predict & Prevent Customer Churn with Machine Learning Aug 27 2021 8:00 am UTC 43 mins
    Vincent De Stoecklin
    Given that it costs 5-10 times more to acquire a new customer than to retain an existing one, it seems obvious that all businesses should engage in some level of churn prevention.

    Because of its business impact and its relative ease in execution, for many types of business, churn prediction is a great first project to tackle with machine learning and AI.

    In this webinar, Vincent De Stoecklin, Customer Success Director at Dataiku, will:
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  • Improving HCP Targeting Using Dataiku Aug 25 2021 6:00 pm UTC 60 mins
    Vincent Houdebine, Solutions Engineer @ Dataiku
    Determining a Health Care Provider's (HCP) propensity to prescribe is crucial to improve sales force effectiveness and grow sales in the pharmaceuticals industry. During this workshop, we'll show you how to use Dataiku to identify physicians with the highest propensity to prescribe a product using a machine learning model built in a low-code manner. We will be using historical sales data, marketing campaign data, calls and event attendance data in order to build and deploy a robust prediction pipeline. The HCP propensity model can be used in many different lines of business to improve decision process around next best action, marketing messaging, sales targeting, and more.
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    Define what is Healthcare fraud & evaluate what can be done to detect and prevent fraud
    Deep dive 4 different options to combat fraud
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    Participate in a data science project showcase followed by Q&A with one of our Sales Engineering director.
  • たった140行のコードで、本格的な桜の開花モデルを作ってみた話。 Aug 19 2021 8:00 am UTC 20 mins
    宮崎 真
    − データサイエンティストまで、企業のデータ活用を促進するAIと機械学習のプラットフォーム Dataiku −

    Dataikuは、アナリストからデータサイエンティストまであらゆる人が利用しコラボレーションできるAIと機械学習のためのプラットフォームです。
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    Dataikuとは:
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    www.dataiku.com/ja/

    ■ 講師プロフィール
    宮崎 真 www.linkedin.com/in/makoto-miyazaki
    Dataikuのデータサイエンティスト。製薬や自動車など、様々な業界のクライアント企業がデータドリブンな組織になるための支援をより現場に近いところでしています。2019年にDataikuに入社する前は日本経済新聞の記者として約6年間、東京から地方まで取材現場を駆け回っていました。
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    Vincent De Stoecklin, Customer Success Director, APAC
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    1)AI platform in itself
    2) 6 key considerations that should be tabled when evaluating whether to build or to buy
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    Dr. Robert Coop
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    In this session, Dr. Robert Coop, phData’s General Manager of Machine Learning, will demonstrate how Apps can be used to allow end-users to classify emotions expressed by people in videos using deep learning. This talk will demonstrate how to take a complex project and to package it into an application that enables users to benefit from the results of deep-learning emotion classification without having to understand the analytic process.
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    Data architecture is the foundation of every organization’s data strategy, but it's not just something for CIOs and data architects either - everyone at data-powered organizations can benefit from understanding the ways data moves between teams and flows into data projects to yield insights. In our Crash Course, we’ll cover key architecture terms and highlight different priorities regarding security and scalability. Additionally, we’ll discuss ways to strategize and align architectural concerns with business priorities.

    Jesse Bishop works with a wide variety of Fortune 500 clients and specializes in helping large organizations operationalize their AI workflow. Jesse is an Insight Data Science Fellow in New York City. He previously worked for the Federal Trade Commission developing models to predict the impact of mergers in a wide variety of industries including Energy, Semiconductors, and E-commerce. Jesse earned his Ph.D. in Applied Microeconomics from the University of Minnesota.

    Christina Hsiao is a technical evangelist for Dataiku based in the US. In her role, Christina is able to share her passion for applied data science through writing and by speaking with customers, partners, and organizations interested in solving business problems with the powerful combination of people, data, and technology. Prior to joining Dataiku, she spent nearly a decade at SAS, mainly specializing in Natural Language Processing and text analytics. Christina holds a bachelor’s degree in Mechanical Engineering from Stanford University.
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    Ankit Gupta (Sr. Data Scientist @ Nike)
    Tentative Schedule: (EST)

    7:00pm: Intro
    7:05pm: Foundational Data Science for Personalized Communications w/ Nike
    7:45pm: Q&A

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    3) What are the benefits and challenges?
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    Tentative Schedule: (EST)

    2:00pm: Intro
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    2:45pm: Q&A

    Talk Abstract:

    Data Science is an emerging function in a variety of industries and a greater number of data scientists have begun working on personalization, recommendations, or sales optimizations.
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Your Path to Enterprise AI
Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

Customers like Unilever, GE, BNP Paribas, Santander use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.

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  • Title: O'Reilly Meet the Expert: Mark Treveil on MLOps [Official Replay]
  • Live at: Apr 27 2021 10:49 am
  • Presented by: Mark Treveil, Senior Director of Product Management at Dataiku
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