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3 keys to moving toward white-box, explainable AI

With black-box AI, people are refused or given loans, accepted or denied university admission, offered a lower or higher price on car insurance, and more, all at the hands of AI systems that usually offer no explanations. In many cases, humans who work for those companies can’t even explain the decisions.
 
That’s why white-box AI is now getting heaps of attention. But what does it mean in practice? And how can businesses start moving away from black-box systems to more explainable AI? 
 
We’ll delve into the three key components needed for white-box AI success: more collaborative data science, involving all teams from lines of business through IT; trust in data at all levels, including tools that
can be used to increase transparency in data processes; and the role of education and the democratization of data. 
 
And we’ll address why white-box AI brings business value in the first place and how it’s a necessary evolution for AI. Not only do customers care about explainable results of AI systems, but internally, white-
box AI is less risky. Don’t miss this VB Live event on how to move towards explainable AI. 

REGISTER FOR FREE

Key Takeaways:
 
+ How to make the data science process collaborative across the organization 
+ How to establish trust from the data all the way through the model
+ How to move your business toward data democratization

Speakers:

+ Triveni Gandhi, Data Scientist, Dataiku
+ David Fagnan, Director, Applied Science, Zillow Offers
+ Rumman Chowdhury, Global Lead for Responsible AI, Accenture Applied Intelligence
+ Seth Colaner, AI Editor, VentureBeat
Recorded Jan 29 2020 61 mins
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Presented by
Dataiku x VentureBeat
Presentation preview: 3 keys to moving toward white-box, explainable AI

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  • The Buck Stops Here: Creating Systems of Accountability for Responsible AI Apr 30 2020 3:00 pm UTC 60 mins
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  • How to Reduce Data Labeling Costs (+ Increase Data Quality) With Active Learning Apr 29 2020 3:00 pm UTC 60 mins
    Alexandre Abraham and Léo Dreyfus-Schmidt, Research Scientists at Dataiku
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    Harald Erb (Sr. Solutions Engineer @Snowflake), Marcel Boldt (Sales Engineer @Dataiku)
    Daten sind ein echter Vermögenswert, wenn sie für neue Produkt- und Service-Innovationen zum eigenen Wettbewerbsvorteil genutzt werden können. Eine Herausforderung auf dem Weg zur „Data-driven Organisation“ ist, Innovationen von der guten Idee bis zum operationalisierten Daten-basierten Produkt zu bringen welches durch Effizienz-/Effektivitätssteigerungen Wertpotentiale hebt oder sogar neue Geschäftspotentiale erschließt. Technische und organisatorische Barrieren haben Ihre Existenzberechtigung, begründen aber Datensilos und mangelnde Kooperation zwischen Fachabteilungen, Data Science und Data Engineering / IT.

    Im gemeinsamen Webinar stellen Dataiku und Snowflake vor, wie Teams ihre Data Science-Projekte auf einer integrierten Plattform kooperativ und „end-to-end“ - das heißt von Definition, Daten-Exploration und agiler Entwicklung von Lösungsansätzen über die Entwicklung von KI-Modellen und Datenprodukten bis zum go-live und Betrieb - realisieren können. Integriert mit Dataiku DSS beschleunigt Snowflake als skalierbare, performante Cloud Data Plattform insbesondere die Teilprozesse Datenbeschaffung, -exploration, -transformation und Feature Engineering, die zusammengenommen bis zu 80% der gesamten Projektdauer beanspruchen können.

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    - „Secret Sauce“ von Snowflake’s neuartiger Architektur, die gute Performance auch bei Petabyte-Datenvolumen ermöglicht - unabhängig davon, ob strukturierte und semistruktierte Daten abgefragt oder verarbeitet werden.
    - Kombination von Dataiku DSS und Snowflake zu einer integrierten End-to-End Machine Learning Plattform-Architektur zur Umsetzung einer Cloud-basierten Enterprise-AI Strategie


    Bitte beachten Sie, dass Sie mit der Registrierung für dieses Webinar zustimmen, dass Ihre Informationen mit Dataiku's Partner Snowflake geteilt werden.
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    Dataiku will release the documentary soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM EDT (NYC) Apr 9 2020 12:00 am UTC 63 mins
    Dataiku
    With humor and humanity, Data Science Pioneers presents a fireside chat-style documentary about the passionate data scientists driving us towards technological revolution.

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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8.15PM BST (LONDON) Apr 8 2020 7:15 pm UTC 63 mins
    Dataiku
    With humor and humanity, Data Science Pioneers presents a fireside chat-style documentary about the passionate data scientists driving us towards technological revolution.

    Cut through the hype with Data Science Pioneers and see what it really means to be a data scientist.

    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM PARIS Apr 8 2020 6:00 pm UTC 63 mins
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    Cut through the hype with Data Science Pioneers and see what it really means to be a data scientist.

    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM DUBAI Apr 8 2020 4:00 pm UTC 63 mins
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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM IST (INDIA) Apr 8 2020 2:30 pm UTC 63 mins
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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8.15PM SGT/MYT (SINGAPORE) Apr 8 2020 12:15 pm UTC 63 mins
    Dataiku
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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM JST/KST (TOKYO/SEOUL) Apr 8 2020 11:00 am UTC 63 mins
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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM AEDT (Sydney) Apr 8 2020 10:00 am UTC 63 mins
    Dataiku
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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon, watch it now in avant-premiere
  • Data Science Pioneers: Conquering the Next Frontier - 8PM NZDT (AUCKLAND) Apr 8 2020 8:00 am UTC 63 mins
    Dataiku
    With humor and humanity, Data Science Pioneers presents a fireside chat-style documentary about the passionate data scientists driving us towards technological revolution.

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    Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before.

    Dataiku will release the documentary online soon watch it now in avant-premiere
  • Enterprise AI, from Cost to Revenue Center Apr 7 2020 6:00 am UTC 64 mins
    Alexis Fournier
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    Common sense and economics tell us not to start from scratch every time you have a new idea, new use case to be tested/implemented. Reuse is the simple concept of avoiding too much rework in AI projects and the concept of capitalization in Enterprise AI takes reuse to another level.

    This session will explain how Dataiku enables every organization to benefit from AI by allowing people within the organization to scale, providing transparency and reproducibility throughout - and across - teams.
  • How to Process Tons of Data for Cheap with Spark + Kubernetes Apr 6 2020 6:00 pm UTC 75 mins
    Gus Cavanaugh, Sales Engineer @ Dataiku
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  • Auto-ML : qu’est-ce que c’est et comment en tirer parti ? Apr 2 2020 9:30 am UTC 30 mins
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    - Ce qu'est exactement l'AutoML (et ce qu'elle n'est pas).
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    - Quels sont les meilleurs cas d'utilisation d'AutoML et comment en tirer le meilleur bénéfice.

    Dataiku vous accompagne à travers ce webinar, afin que vous puissiez découvrir pourquoi et comment l'automatisation du Machine Learning devient de plus en plus un élément clé du succès de l'IA.
  • Data Science for Supply Chain Apr 1 2020 3:00 pm UTC 60 mins
    Jesus Oliva (JTI), Mohamad Ali Mahfouz (Microsoft), Marie Vollmar (Dataiku)
    Supply chain optimization impacts every industry, from retail to manufacturing, transportation to warehousing. Machine learning and AI bring additional opportunities to tighten supply chain logistics using new sources of data and new techniques that can radically improve operations, most notably at the hyper-local level.

    In January 2018, Business Insider found that 42% of organizations surveyed identified supply chain and operations as driving revenue from AI capabilities today.

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    We will cover the following:
    - Jesus Oliva, Data Science & AI Expert at Japan Tobacco International, shares insights on what data science did for his company's logistics & stock optimization
    - How Dataiku can help organizations to introduce AI-driven processes into the supply chain
    - How the Microsoft Data Platform and partner ecosystem can help enterprises to transform into data-driven organizations and what is the needed culture change to build a data gravity culture

    Please be aware that by registering for this webinar, you agree to have your information shared with Dataiku's partner Microsoft.
  • Beyond Human Labeling and Supervised Learning w/ Google Recorded: Mar 26 2020 93 mins
    Karthik Ramasamy (Google) and Ned Martorell (Dataiku)
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  • Pourquoi et Comment Passer du Design à l’Automation ? Recorded: Mar 26 2020 55 mins
    Antoine Vokleber (Chief Architect), Sébastien Decaudain (Delivery Practice Manager), Eric Carbonel (Implementation Manager)
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    Au fil du temps, ces projets peuvent rapidement s’accumuler et se posent alors une multitude de questions :

    - Comment identifier un projet récurrent d’un POC ou d’un simple test ?
    - Comment prioriser l’exécution d’un batch pour reporting au Comex versus le projet d’un stagiaire ?
    - Comment maintenir des performances de la plateforme ?
    - Comment s’interfacer de façon fiable avec d’autres systèmes ?

    Dans ce webinaire, nous contextualiserons cela et vous présenterons les apports de l’environnement de production Dataiku (Automation et API).

    Nous détaillerons également les différentes approches possibles pour une fluidification des échanges entre un univers métiers et un univers IT.

    Présentateurs:
    - Antoine Vokleber (Chief Architect chez Lincoln)
    - Sébastien Decaudain (Delivery Pracitice Manager chez Lincoln)
    - Eric Carbonel (Implementation Manager chez Dataiku)

    En vous inscrivant à ce webinaire, vous acceptez que vos informations soient partagées avec les partenaires de Dataiku et Lincoln.
Enabling 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: 3 keys to moving toward white-box, explainable AI
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  • Presented by: Dataiku x VentureBeat
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