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30 Sessions
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Thu Dec 02

Thu Dec 09

Thu Dec 16


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Thu Dec 02
10:00 AM
10:00 AM - 10:20 AM GMT +1 / 9:00 AM - 9:20 AM Your local time   (20 min)
Responsible AI is About More than Models


Responsible AI is more than just modeling. In this session, you will learn how
to to build responsible AI starting with data, through modeling and how to use
reporting make sure that stakeholders are making informed decisions.

- Keynote

Triveni Gandhi
Senior Industry Data Scientist
Dataiku
10:20 AM
10:20 AM - 10:40 AM GMT +1 / 9:20 AM - 9:40 AM Your local time   (20 min)
Achieving a Trustworthy AI Framework


Building trust in AI: How to overcome risk and operationalize AI governance

- Keynote and a panel discussion

Michael Vinelli
Senior Manager, AI Strategy
Omnia AI | Deloitte
10:40 AM
10:40 AM - 11:00 AM GMT +1 / 9:40 AM - 10:00 AM Your local time   (20 min)
Who's Responsible for Responsible AI?


- Panel with customers

Triveni Gandhi
Senior Industry Data Scientist
Dataiku
11:00 AM
11:00 AM - 11:30 AM GMT +1
10:00 AM - 10:30 AM Your local time
(30 min)
[Business Track] Ethical AI at Pfizer


Pfizer is a global leader in the pharmaceutical and biotechnology industry. In
this session, you will learn about Ethical AI at Pfizer with Dataiku as part of
the solution for bias detection, overall transparency, and human-in-the-loop ML.

Read More
Veena Calambur
Data Science Manager
Pfizer
11:00 AM - 11:30 AM GMT +1
10:00 AM - 10:30 AM Your local time
(30 min)
[Product Track] Responsible AI in Dataiku


How do you use Dataiku to build more responsible models? In this session, you
will learn from a team of data scientists from Dataiku working with the infamous
COMPAS Recidivism dataset. You will see how they approach explainability and
bias detection, fix the issues and report model value to business stakeholders.

Read More
Jacqueline Kuo
Senior Data Scientist
Dataiku
Sibongile Toure
Data Scientist
Dataiku
Andrew Samant
Data Scientist
Dataiku

11:30 AM
11:30 AM - 12:00 PM GMT +1
10:30 AM - 11:00 AM Your local time
(30 min)
[Business Track] Responsible Hiring at Schlumberger


Every year, more than 500k candidates apply to Schlumberger across the globe.
With a focus on diversity and inclusivity, the company wanted to ensure that AI
& ML would not harm candidates' chances. In this session, you will learn about
their approach and results.

Read More
Modhar Khan
Head of People Analytics
Schlumberger
11:30 AM - 12:00 PM GMT +1
10:30 AM - 11:00 AM Your local time
(30 min)
[Product Track] Responsible AI in Dataiku


How do you use Dataiku to build more responsible models? In this session, you
will learn from a team of data scientists from Dataiku working with the infamous
COMPAS Recidivism dataset. You will see how they approach explainability and
bias detection, fix the issues and report model value to business stakeholders. 

Continued session

Read More
Jacqueline Kuo
Senior Data Scientist
Dataiku
Andrew Samant
Data Scientist
Dataiku
Sibongile Toure
Data Scientist
Dataiku

12:00 PM
12:00 PM - 12:30 PM GMT +1
11:00 AM - 11:30 AM Your local time
(30 min)
[Business Track] How AI is Making an Impact for Non-Profits


AI is not just for big business. Non-profits can use AI to make a positive
change. In this session, you will learn about programs and players for
non-profits to take advantage of AI and machine learning, Dataiku Ikig.ai,  and
a project at the Cascade Bicycle Club.

Read More
Tom Brown
Senior Consultant
41xRT
Christopher Shanin
Director of IT
Cascade Bicycle Club
12:00 PM - 12:30 PM GMT +1
11:00 AM - 11:30 AM Your local time
(30 min)
[Product Track] Interrogating your models - Playing good cop, bad cop


How do you develop trust in a predictive model to ensure it will meet your
business needs? In this session, you will learn about what-if analysis to better
understand model outputs and counterfactuals to understand inputs for the
desired outcome.

Read More
Krishna Vadakattu
Senior Product Manager
Dataiku
Thu Dec 09
10:00 AM
10:00 AM - 10:20 AM GMT +1 / 9:00 AM - 9:20 AM Your local time   (20 min)
Why Ops for Models is not enough


The focus in MLOps is often on model performance, but models are only part of
the equation. In this session, you will learn about the other aspects of
operations that are required for successful and high performing production AI
projects.

- Keynote

Romain Fouache
COO
Dataiku
10:20 AM
10:20 AM - 10:40 AM GMT +1 / 9:20 AM - 9:40 AM Your local time   (20 min)
Operating AI Projects at Scale with MLOps

Padmashree Shagrithaya
Global Head-AI Analytics & Data Science Offer
CapGemini
10:40 AM
10:40 AM - 11:00 AM GMT +1 / 9:40 AM - 10:00 AM Your local time   (20 min)
MLOps in Manufacturing


- Keynote

Aaron McClendon
Head of Data Science
Aimpoint
11:00 AM
11:00 AM - 11:30 AM GMT +1
10:00 AM - 10:30 AM Your local time
(30 min)
[Business Track] MLOps for Deep Learning and Edge Deployments - Dataiku and
NVIDIA


Customer story

Read More
Manish Harsh
Global Industry Lead - AI/MLOps
NVIDIA
11:00 AM - 11:30 AM GMT +1
10:00 AM - 10:30 AM Your local time
(30 min)
[Product Track] Introducing MLflow Saved Models


We know sometimes there are nuanced feature transformations, algorithms or
frameworks that data scientists are building to customize in ways that stretch
far beyond the imagination of what can be achieved out-of-the-box with Visual
ML. However with greater flexibility, came greater responsibility to manage
model versioning, validation and deployment of these models coded in scripts,
notebooks and IDEs.




With Dataiku 10, we are pleased to announce the recognition of models stored in
the MLflow Model format, as Saved Models in Dataiku, for seamless versioning,
scoring, deployment, governance and more...

Read More
Krishna Vadakattu
Senior Product Manager
Dataiku
11:30 AM
11:30 AM - 12:00 PM GMT +1
10:30 AM - 11:00 AM Your local time
(30 min)
[Business Track] Building a Feature Store for Quicker and More Accurate Machine
Learning Models


The feature store is an emergent concept in data science, creating a storehouse
for consistent and useful features to streamline building machine learning
models. In this session, you will learn about the project to build a feature
store, market alternatives considered, and the value created by the project.

Read More
Marlan Croiser
Senior Data Scientist
Premera Blue Cross
11:30 AM - 12:00 PM GMT +1
10:30 AM - 11:00 AM Your local time
(30 min)
[Product Track] Testing your Flow - Ensuring Quality for long-running projects
in production


Evaluating different models is a critical step in both design and in production
especially for running Champion/Challenger or A/B testing strategies. In this
session, you will learn about the new model evaluation and comparison
capabilities in Dataiku 10.

Read More
Dimitri Labouesse
Senior Product Manager
Dataiku
12:00 PM
12:00 PM - 12:30 PM GMT +1
11:00 AM - 11:30 AM Your local time
(30 min)
[Business Track] HR Department Operationalizes Manager-Performance Forecasts
with MLOps


Good management can be critical to organizational success, but it can be
challenging for human resources (HR) departments to identify clear actions to
improve manager performance.  Using Dataiku and phData, the HR team at a major
medical-device company was able to ingest data from six different HR systems to
create a predictive forecast for manager performance.  Analyzing and
interpreting those results enabled the HR department to identify actionable
insights for performance improvements.  




This ML solution – expected to save upwards of $1.8M by reducing workforce churn
– was operationalized with ease using MLOps automation features in Dataiku.

Read More
Dominick Rocco
Product Manager
PhData
12:00 PM - 12:30 PM GMT +1
11:00 AM - 11:30 AM Your local time
(30 min)
[Product Track] Observability - Moving Beyond Model Monitoring


Monitoring for AI projects requires the ability to observe all systems that run
and allow the model to deliver results. These systems include data pipelines,
models, and underlying infrastructure which must all function within parameters
for success. Observability is a new concept for AI that includes all these areas
to give MLOps teams a complete picture of project performance and the tools they
need to diagnose issues and get projects back up and running.

Read More
François Sergot
Senior Product Manager
Dataiku
12:30 PM
12:30 PM - 1:00 PM GMT +1
11:30 AM - 12:00 PM Your local time
(30 min)
[Business Track] Helping Life Science Clients Build AI/ML Capabilities with a
Modular, Scalable and Platform Mindset


ZS partners with Dataiku to help life sciences clients build machine learning,
data science, and data engineering capabilities in a modular and scalable manner
for their Customer Engagement Programs, Patient Programs, and other key
initiatives. In this session, ZS will show how we help a life science client use
the Dataiku DSS platform’s broad capabilities to help accelerate the research,
build, deployment, and operations of models.

Read More
Gavin Chen
Strategic Alliances Specialist
Zs Associates
12:30 PM - 1:00 PM GMT +1
11:30 AM - 12:00 PM Your local time
(30 min)
[Product Track] MLOps with Dataiku and AWS


Mario Bourgoin
Senior Partner Solutions Architect – AI/ML Global Tech Lead MLOps
AWS
Thu Dec 16
10:00 AM
10:00 AM - 10:20 AM GMT +1 / 9:00 AM - 9:20 AM Your local time   (20 min)
Industry Best Practices for AI Governance


AI Governance is an emerging topic in executive suites and boardrooms. In this
primer to AI Governance you will learn about the need for AI governance
practices and existing frameworks from the financial services industry that lead
to common sense best practices across industries.

- Keynote

Patrick Hall
Principal Scientist
bnh.ai
10:20 AM
10:20 AM - 10:40 AM GMT +1 / 9:20 AM - 9:40 AM Your local time   (20 min)
AI Governance & Regulatory Compliance


- Keynote

Sophie Dionnet
GM, Business Solutions
Dataiku
10:40 AM
10:40 AM - 11:00 AM GMT +1 / 9:40 AM - 10:00 AM Your local time   (20 min)
Risks, Roles & Realities of AI Governance


Fireside chat with Sulabh Soral, Chief AI Officer at Deloitte Consulting, on the
risks, roles & realities of AI Governance in the enterprise today.

- Keynote

Sulabh Soral
Chief AI Officer
Deloitte
11:00 AM
11:00 AM - 11:20 AM GMT +1 / 10:00 AM - 10:20 AM Your local time   (20 min)
Governing and Securing Data for Scaling AI


At the core of governing AI is data governance. To safely scale AI, every aspect
of the data that is used to build AI applications and the data pipelines that
power AI in production should be governed by policies around access, controls,
lineage, and audibility. Data governance is part of the overall enterprise
governance stack that enables enterprises to confidently scale AI and innovation
while effectively managing risk.

- Keynote

Michael Gregory
Field CTO AI/ML
Snowflake
Steve Franks
Solutions Architect
Dataiku
11:20 AM
11:20 AM - 11:40 AM GMT +1 / 10:20 AM - 10:40 AM Your local time   (20 min)
Aligning AI with Enterprise Governance and Risk Management


Panel discussion

Paul-Marie Carfantan
AI Governance Solution Manager
Dataiku
11:40 AM
11:40 AM - 12:00 PM GMT +1
10:40 AM - 11:00 AM Your local time
(20 min)
[Business Track] Securely Discovering, Sharing, and Managing Data


Partner story

Read More
Aaron McClendon
Head of Data Science
Aimpoint
11:40 AM - 12:00 PM GMT +1
10:40 AM - 11:00 AM Your local time
(20 min)
[Product Track] Building Governance Plans and Workflow in Dataiku


AI governance in Dataiku 10 provides ways to create, manage and report about
processes that align with operational, legal, and regulatory compliance needs
for an organization. The unique capabilities for AI governance include
standardized project plans and tasks (also known as workflow management);
reporting specific to AI governance programs (e.g. risk, value, feasibility
assessments); approval processes (also known as sign-off), and auditable
processes. Learn how to set up your Governance Plans and Workflow in Dataiku to
scale your AI projects. 

Continued session

Read More
Sean Conley
Senior Product Manager
Dataiku
Melanie Reversat
Senior Product Manager
Dataiku
12:00 PM
12:00 PM - 12:30 PM GMT +1
11:00 AM - 11:30 AM Your local time
(30 min)
[Business Track] Securing and Governing Data in Collaborative Environments


Rachel Kurtz
Analytics Consultant
InterWorks
12:00 PM - 12:30 PM GMT +1
11:00 AM - 11:30 AM Your local time
(30 min)
[Product Track] Building Governance Plans and Workflow in Dataiku - Continued


AI governance in Dataiku 10 provides ways to create, manage and report about
processes that align with operational, legal, and regulatory compliance needs
for an organization. The unique capabilities for AI governance include
standardized project plans and tasks (also known as workflow management);
reporting specific to AI governance programs (e.g. risk, value, feasibility
assessments); approval processes (also known as sign-off), and auditable
processes. Learn how to set up your Governance Plans and Workflow in Dataiku to
scale your AI projects

- Continued session

Read More
Sean Conley
Senior Product Manager
Dataiku
Melanie Reversat
Senior Product Manager
Dataiku
12:30 PM
12:30 PM - 1:00 PM GMT +1 / 11:30 AM - 12:00 PM Your local time   (30 min)
[Product Track] Boosting time-to-impact with AI Governance Solutions


AI Governance is an emerging topic and one that requires customization to meet
the needs of every organization. In this session, you will learn about AI
Governance Solutions and how new functionality in Dataiku 10 can be customized
to meet your unique organizational needs by the Dataiku Solutions team.

Paul-Marie Carfantan
AI Governance Solution Manager
Dataiku
Ben Montgomery
AI Governance Consultant
Dataiku

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