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Introducing the Economics of AI

Benefits cases for AI capabilities are stuck in the dark ages: delivering projects that convinced your stakeholders to invest in the first place are not sufficient to ensure long-term success. This creates risk that, just as you are getting up to speed, the rules change and the value you already delivered moves on to someone else’s balance sheet, leaving you with a dilemma. Having already harvested the low-hanging fruit, do you ask for more investment with less certainty on ROI, or try to do more with less?

In this talk led by Shaun McGirr, AI evangelist at Dataiku, we offer Dataiku’s framework for identifying and avoiding this trap. We recast what can look like complicated technical concerns into broader language that will resonate with any business stakeholder who understands profit and loss, capital and debt.

Our vision is for AI to transcend its current status as a “special capability” and become a ubiquitous tool accessible to all. And the sooner we translate this potential value into terms that drive investment beyond short-term IT procurement horizons, the better.
Recorded Jul 21 2021 34 mins
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Shaun McGirr, AI Evangelist @ Dataiku
Presentation preview: Introducing the Economics of AI

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  • Boosting Your Business: Marketing and Pricing Optimization for Retail & CPG Sep 7 2021 3:00 am UTC 60 mins
    Rata Jacquemart, Project Leader, AI Consulting, Dataiku
    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!
     
    In our first edition, Rata Jacquemart, Project Leader, AI Consulting at Dataiku, will discuss Pricing & Marketing optimization and cover numerous topics, including; how to build your discount optimization engine, personalized promotions, and media performance assessment tool's, helping you to start making a change within your organization.

    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.
  • [POSTPONED] Data: The Unifying Thread w/ Salman Shams, NHS Sep 2 2021 4:00 pm UTC 45 mins
    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.

    Speaker Bio: Salman Shams, PhD. is currently working as a data analyst for the National Health Service. He has a PhD in medical engineering which involved using machine learning methods to increase the efficiency of prosthetic limbs. until recently he was also a youth engagement worker with the London borough of Tower Hamlets where he worked for eight years and in that time was able to recognise the potential of having data and information on young people who are currently not in education employment or training and how this helps local authorities manage their services better catering to those young people.
  • 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.
  • AI at Work in the Supply Chain ft. PwC and SESAME Project Aug 25 2021 9:00 am UTC 71 mins
    Marc Damez-Fontaine (PwC), Igor Girard-Carrabin (ArianeGroup)
    What are the actual challenges in supply chain management? How can AI improve business performance? And what are the pitfalls and best practices to analyze the data of your supply chain?

    Listen to Marc Damez-Fontaine, Director Data & AI at PwC, present different levels of AI technologies that can help supply chain operations.
    Right after we will hear from Igor Girard-Carrabin, Supply Chain Engineer at ArianeGroup, who will provide feedback on concrete use cases of AI for supply chain management within the European Commission funded SESAME project.

    The SESAME project aims at improving European launchers' manufacturing and operations through digital technologies, processes and methods.

    Speakers:
    - Marc Damez-Fontaine (Director Data & AI at PwC)
    - Igor Girard-Carrabin (SESAME Project Manager at ArianeGroup)

    Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner PwC.
  • 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。
    本セミナーでは、少し時期外れになりますが、桜の開花予測モデルの開発過程を通して、Dataikuをご紹介します。モデル開発のために書いたコードはわずか140行。フローチャートや自動化機能を合わせて使うことにより、データ準備やモデルの開発が効率的に行えます。

    Dataikuとは:
    世界をリードするAIと機械学習のプラットフォームです。コラボレーションと弾力性、そして責任あるAIを介し、組織のデータへの取り組みにおけるアジリティーを、すべてエンタープライズ規模でサポートします。数百もの企業がDataikuを利用して事業運営の根幹を支え、変化する世界の中で自社のプレゼンスを維持しています。https://www.dataiku.com/ja/

    ■ 講師プロフィール
    宮崎 真
    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。
  • Foundational Data Science for Personalized Communications w/ Nike Aug 11 2021 6:00 pm UTC 49 mins
    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

    Talk Abstract:

    Email communication is one of the most common activities on PCs and mobile devices and this holds true now more than ever. Nike invests a lot of effort into Email communication. Although the cost of sending one email may be small, the cost builds up as the number of emails aggregates. Also, the user engagement governs the reputation of Nike IP addresses and the KPIs. Therefore, it is important to identify the campaigns relevant to consumers with a high propensity of engagement.
    The goal of the Personalized Communications team is to serve the Nike consumers with the most relevant campaign emails at the right time with the right frequency. In this talk, Ankit will address important questions/topics relevant to the Personalization Communications team. He will also answer questions that explain how Nike is currently handling personalized communications, what’s working well and what’s not, and how to build the data foundation for Personalized Communications. Finally, Ankit will do a deep-dive into some of the data science models that the team is currently working on.

    Speaker bio:

    Ankit has 4+ years of experience informing business decisions through data science and statistical modeling. He is currently working as Sr. Data Scientist at Personalization and Data Science team at Nike. His previous experiences include working in Ad Tech and Finance industry.
  • Accelerating Geo-Experiments at ASOS Aug 10 2021 4:00 pm UTC 60 mins
    Conor McCabe, Machine Learning Scientist @ ASOS
    While randomised control trials like A/B tests are the gold standard for causal inference, there are many situations where they’re not appropriate or even possible to run. Geo-experiments (where we apply the treatment to specific geographic regions) can act as a quasi-experimental alternative when conventional A/B tests aren’t feasible. In this presentation we’ll introduce geo-experiments, the common statistical models used to construct synthetic controls for geo-experiments, as well as some of the methods we use at ASOS to accelerate the pace of geo-experiments we run.

    Speaker Bio: Conor is a Machine Learning Scientist with a background in statistics working on the marketing science team at ASOS. His work in the marketing science space has involved developing experimentation frameworks to streamline online testing as well as machine learning methods for digital ads optimisation.
  • The Need for Metadata in AI – Why is it so important? Aug 10 2021 3:00 am UTC 37 mins
    Timm Grosser, Senior Analyst, BARC
    Data in itself is useless. It’s just the raw material. In order to get the value from the data we need context information to transform data into information, into knowledge, and into action. And that’s what enterprises and even humans want to achieve.

    Metadata is critical to enable both human and machine to understand, interpret and finally use data. Instead of diving into solutions for gathering and using metadata, with this webinar we will understand the relevance of metadata for your business. 

    Please join us on 10th August to learn:

    1) What is metadata?
    2) Why is it needed for AI?
    3) What are the benefits and challenges?
    4) and finally what makes data really valuable?
  • [Dataiku x Bots & AI] Data Science in Compliance and Fraud Detection Aug 4 2021 6:00 pm UTC 49 mins
    Harry Lu (Data Analytics Manager @ Spotify)
    Tentative Schedule: (EST)

    2:00pm: Intro
    2:05pm: Data Science in Compliance and Fraud Detection w/ Spotify
    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.
    The cost of compliance has also been expanding in most industries and especially in the technology sector. This is a result of the Public’s attention shift from traditional frauds to antitrust, conflict of interest, and data privacy. While there are plenty of opportunities to leveraging DS/ML to solve such problems, the complex nature of such compliance and fraud detection issues stymies data practitioners from being able to grow the data science practice. The “language barrier” of communication between the company’s DS/business/compliance appears to hide the low hanging fruits.
    In this talk, Harry will share his experience in connecting data science with compliance, examples of the DS/ML use cases, and key takeaways for our two groups of the audience (Data Scientists and Business Stakeholders.)
    • Hidden Data Science Opportunity in Compliance and Finance
    • Career Journey: from a fraud investigator to a data scientist
    • Opportunities that often get overlooked in compliance/fraud functions
    • How to speak two languages: recommendations on connecting data science resources with compliance business

    Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.
  • Explainable AI: From Theory to Practice With Dataiku Aug 3 2021 3:00 am UTC 40 mins
    Christina Hsiao, Sr. Product Marketing Manager and Du Phan, Research Scientist at Dataiku
    Explainable AI has become a powerful mitigating force that enables modelers, regulators, and laypeople to have more trust and confidence in machine learning models. However, it’s not always easy for data scientists to implement models that are explainable.

    In this webinar, Dataiku’s Christina Hsiao, senior product marketing manager, and Du Phan, research scientist, will discuss fairness and explainability concepts both generally and in Dataiku. They will also discuss the research and reasoning behind why Dataiku’s R&D team chose the path they did for the features developed, the trade-offs between white-box and black-box models, and how Dataiku helps data teams build models in a way that is collaborative and sustainable for the business.
  • Financial Modeling in Dataiku Jul 28 2021 6:00 pm UTC 60 mins
    Suresh Vadakath, Solutions Engineer @ Dataiku; Kevin Graham, Account Executive @ Dataiku
    Dataiku is an end-to-end collaborative data science platform and its pipeline graph framework allows users to design and manage any calculation, from the most basic to complex. This visual, intuitive interface enables easy analysis and management of the intricacies involved in financial calculations.

    In this webinar, we’ll present a few standard modeling techniques in finance that you would typically do in Excel. In that sense, this is a financial modeling cooking show using Dataiku. Like any cooking show, it gives recipes as the starting point — you can then use this template in the future to produce results that suit your unique taste and needs.

    What you will learn:

    • How Dataiku mitigates the known limitations in Excel and similar tools
    • How shortcuts and formulaic expressions in Excel can be easily replicated and optimized in Dataiku using Dataiku plugins
    • An example of a financial statement simulation and automation
    • Package a Dataiku Flow into a Dataiku App for broader audience consumption
  • Boosting Online Sales & Customer Experience Jul 28 2021 3:00 pm UTC 75 mins
    Rata Jacquemart, Project Leader, AI Consulting, Dataiku, Benoit Rojare, Business Solutions Manager - Retail & CPG, Dataiku
    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.”

    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!

    For our second edition; Website optimization, we will guide you on how to improve not only your sales performance from your online channel but also how to be closer to your customers by personalizing their online experience with your brand.

    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.

    Speaker Bio: Benoit Rojare is a business solutions manager at Dataiku, for the retail and CPG industries, helping clients to seize the data opportunity with data and AI.
    Before joining Dataiku, he worked for fifty-five where he specialized in data marketing for the luxury and CPG industries and was managing a team of data consultants.
    Benoît holds an engineering degree and an advanced master's in business.
  • AI Practices That Deliver Results - Exclusive with IDC Jul 28 2021 3:00 am UTC 60 mins
    Chris Dr. Chris Marshall, IDC and Richard Jones, VP and GM, APAC at Dataiku
    Exclusive with IDC

    Since the release of the 2020 IDC InfoBrief and with the release of the 2021 edition, we have seen nearly twice as many companies starting their AI journey. Plus, those that had already started are showing more AI maturity, experimenting less and executing more repeatedly and in a more coordinated way.

    Despite rising demand, AI projects remain difficult to execute.

    In this webinar, we will investigate the latest trends as well as the different strategies enterprises adopt toward AI, when they work and when they don't.

    During this exchange, Dr. Chris Marshall, VP Big Data, Analytics & AI at IDC, will review regional patterns in deploying AI while Richard Jones, General manager APAC at Dataiku, will discuss the challenges facing organizations when deploying their AI solutions.

    Bring your questions because we will be LIVE and make sure you are registered.
  • How Carta Uses Data Science to Study the Inequities in Equity Jul 27 2021 9:00 pm UTC 75 mins
    Erin Boehmer (Senior Machine Learning Engineer @ Capital One)
    Talk Abstract:

    Carta is a Silicon Valley unicorn valued at $6.9B on a mission to help companies and investors manage equity ownership. In other words, Carta is mapping one of the world’s most valuable proprietary datasets: the ownership graph showing who gets rich when private equity becomes liquid. Equity is the largest lever for wealth creation in Silicon Valley and beyond; we believe it should be distributed equitably.

    In 2018, Carta partnered with one of Silicon Valley’s top investment collectives, #ANGELS, after they hypothesized the gender equity gap was worse than the salary gap. Carta has since committed to publishing a yearly study on the state of diversity on cap tables in an initiative known as Table Stakes. Join Erin Boehmer, the lead Data Scientist for the Table Stakes study, to learn about #TheGapTable and how she is taking a highly visible analysis from 0 to 1.


    Speaker Bio:

    Erin Boehmer is a Senior Machine Learning Engineer at Carta where she leads the development of platform data and ML products. She began her career with an MS in Data Science from UC Berkeley and BS degrees in Computer Science and Systems Engineering from the University of Virginia. Erin loves sampling (with replacement) from the vast buffet of data science problem spaces. Her experience includes building credit scoring models from solar kit data with Fenix Intl in Uganda, visualizing sensor networks with the Air Force, and monitoring state-level Covid data quality to ensure government accountability with the Covid Tracking Project. As much as Erin loves data and coding, she’s a big proponent of “work hard, play hard” and can often be found white water kayaking, rock climbing, sailing, or exhibiting self-control in the aisles of REI.


    Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.
  • Revamping Customer Segmentation with AI (feat. Snowflake, Dataiku, and Aptitive) Jul 27 2021 5:00 pm UTC 60 mins
    Ryan Lewis @ Aptitive, Peter Pham @ Dataiku, & Frank Pacione @ Snowflake
    Targeting the right customer at the right time is one of the most efficient ways to optimize marketing campaigns - but 55% of marketers don’t feel they have sufficient customer data to implement effective personalization (Evergage, Inc.) While marketing teams increasingly adopt ML into their practices, their efforts often struggle due to multiple data sources, finding the right data, and building scalable machine learning models.

    Attend this joint webinar with Snowflake, Aptitive, and Dataiku to dive into the top challenges for tackling customer segmentation models, and how to solve them. We’ll showcase best practices to enrich your data, as well as how to prep, clean, create, and refine a machine model with Java UDFs for more effective customer targeting.

    Agenda:
    - 15 min: 4 Common Customer Segmentation Challenges that Can be Solved by Data Science with Ryan Lewis, Data Science Consultant at Aptitive
    - 25 min: Demo: Building an AI-first Approach to Customer Segmentation with Peter Pham, Solutions Engineer at Dataiku
    - 20 min: Enriching Customer Data using the Snowflake Marketplace with Frank Pacione, Partner Engineer at Snowflake
  • How Becoming AI-Driven Helps Fend off Disruption from Big Tech and Startups Jul 27 2021 3:00 pm UTC 60 mins
    Ian Wilson, Former Global Head of Artificial Intelligence at HSBC
    Ian Wilson, former Global Head of AI at HSBC, will share 25 years of lessons on how enterprise boards and executive leadership teams can transform their organizations in order to fend off disruption from traditional competitors, Big Tech, and new entrants into their market.

    Ian Wilson is the former Global Head of Artificial Intelligence at HSBC. Prior to this role, Ian developed significant leadership experience as a board advisor, founder, CEO, and executive director from startups and scale-ups to major global organizations. His journey through the industry has taken him across three continents, from military AI to AI product companies startups and eventually to defining enterprise AI strategy and operating models for Global organizations. Ian has deep knowledge and experience of building AI Centers of Excellence, delivering large scale production-grade enterprise AI solutions, and making AI transformation clear and understandable to all levels of business. He is a speaker at global events and a video content author on enterprise AI transformation. Ian lives in Cambridge with his family, enjoys travel and the outdoors and speaks rusty but fluent Japanese.

    Presented by: Productive AI LLC
  • Dataiku and AWS: Delivering Enterprise AI at Scale Recorded: Jul 22 2021 51 mins
    Michael Ernest, Director of Solution Architecture at Dataiku
    In this demo we'll walk through a DSS project that features a variety of integrations with the AWS platform as well as several key services. The demonstration will highlight key performance benefits built into DSS when operating in the AWS environment, and integrations with AWS services, including Redshift, EMR, and EKS.
  • A Conversation on Data Science and Artificial Intelligence ft. Levi's Recorded: Jul 22 2021 24 mins
    Fabio Ardossi (Data Reply), Megi Hoxha (Levi's), Sunny Gill (Dataiku)
    Watch this webinar featuring talks from data science and AI experts. The talk focuses on the challenges of data science, industry trends and tools used to scale AI in organizations, and how companies use data science to effectively solve business problems.

    Speakers:
    - Fabio Ardossi, Partner @ Data Reply
    - Megi Hoxha, Data Analytics and AI Lead @ Levi Strauss and Co
    - Sunny Gill, Enterprise Success Manager @ Dataiku

    Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner Data Reply. They may contact you with information that could be of interest to you.
  • Machine Learning Basics: Algorithms Are Your Friend Recorded: Jul 21 2021 45 mins
    Katie Gross, Data Scientist
    Machine learning (ML) isn’t just for data scientists anymore; it’s in the mainstream for analytics and business teams who want to get ahead, but it can feel impenetrable. Where to start? Join Dataiku Data Scientist Katie Gross as she outlines key machine learning terms and the applications of different ML algorithms. See how you can build and evaluate an ML model with or without coding. Watch live and ask questions at our Q&A at the end of the talk.

    Katie Gross is a Data Scientist at Dataiku, where she helps clients build out Enterprise AI solutions and develops new product features. Previously, she worked as a data scientist at a marketing science firm, Schireson, and did freelance data science work for a host of companies including IBM. Prior to her data science life, Katie spent three years as a CPG consultant to Wall Street analysts at Nielsen. Katie holds a BA in Economics from Colgate University and also completed the Galvanize Data Science Bootcamp program in New York City.
  • Introducing the Economics of AI Recorded: Jul 21 2021 34 mins
    Shaun McGirr, AI Evangelist @ Dataiku
    Benefits cases for AI capabilities are stuck in the dark ages: delivering projects that convinced your stakeholders to invest in the first place are not sufficient to ensure long-term success. This creates risk that, just as you are getting up to speed, the rules change and the value you already delivered moves on to someone else’s balance sheet, leaving you with a dilemma. Having already harvested the low-hanging fruit, do you ask for more investment with less certainty on ROI, or try to do more with less?

    In this talk led by Shaun McGirr, AI evangelist at Dataiku, we offer Dataiku’s framework for identifying and avoiding this trap. We recast what can look like complicated technical concerns into broader language that will resonate with any business stakeholder who understands profit and loss, capital and debt.

    Our vision is for AI to transcend its current status as a “special capability” and become a ubiquitous tool accessible to all. And the sooner we translate this potential value into terms that drive investment beyond short-term IT procurement horizons, the better.
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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