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[From the Everyday AI Conference] Perspectives from Around Financial Services
JOHN MCCAMBRIDGE, Global Director of Financial Services; JIMMY HENNESSEY, Director of Data Science at ACI Worldwide; & more
Different financial services organisations, including UBS, First International Bank of Israel (FIBI), and ACI Worldwide share their journey to Everyday AI.
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[From the Everyday AI Conference] 5 Ways to Fail at Machine Learning
CJ Jenkins, Head of Data, Devoteam
Despite the hype across tech around data science, it is currently estimated that 80% of machine learning projects fail. There are some large and glaring reasons that this is the case... here are the biggest.
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[From the Everyday AI Conference] Lloyds: Practical Application of Fairness
Luke Vilain, Lloyds Banking Group, Data Ethics Senior Manager
Principles for the development of fair machine learning systems are now widespread, however, what a development team actually has to do to get things moving is often still unclear.
This session will dive into some of the practical considerations surrounding the application of fairness, to give attendees more understanding of what their companies might do to move the needle on this topic. The practical application of fairness is a key component in moving the conversation forward around how we can use trustworthy AI to reduce reputational & compliance risk.
Key takeaways:
- What is ML fairness and where does unfair bias enter into ML driven systems?
- What are the headwinds that a development team faces in the application of fairness?
- What approaches are available for structuring a fairness solution? -
Have We Democratized the Data Industry When a Minority Rule?
Eva Murray, Snowflake, Lead Evangelist, EMEA
[From the Everyday AI Conference] Why are events in the data industry dominated by a minority population?
One reason is history, another is that change is slow, and neither is acceptable.
Hear from Eva Murray, Lead EMEA Evangelist at Snowflake on this topic. -
[From the Everyday AI Conference] Unleashing the Power of Decision Science
Robert Bates, Currys, Head of Decision Science
Over the past five years, there has been massive growth within retailers looking to use machine learning and AI to improve performance, simplify the customer journey and increase innovation.
But should we always trust the algorithms, and are they even required? -
[From the Everyday AI Conference] The Secret Life of an Actuary
METUL PAREKH, Dataiku, Actuarial Director
Before data science was in vogue, the humble actuary was one of the original careers using data analytics to drive key functions within insurance and pensions.
Get an introduction of what an actuary does with an insurance company, the challenges they face, and how the profession is evolving in the new world.
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Overcome Silos & Enhance Collaboration with Full Stack Solutions
RACHEL KURTZ, Interworks, Analytics Consultant
[From the Everyday AI Conference]
Nothing and no one works in a vacuum.
Data engineers, data scientists, and business analysts all need to work together to complete a project. But that’s often not the way it goes. Silos prevent us from working as a cohesive team.Utilizing your entire Data Stack, from cloud storage (AWS, Snowflake) to data preparation (Dataiku) and visualization (Tableau, PowerBI), is key to creating a collaborative experience.
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[From the Everyday AI Conference] To the Skies, AI, and Beyond: GE Aviation
PETER KNIGHT, Ge Aviation, Data Scientist
GE is a world leader in the manufacture of commercial jet engines, offering products for many of the best-selling commercial airframes.
GE Aviation has over a hundred Data Scientists using Dataiku to develop analytics and drive insights. In this talk we will share some of the ways we have been using Dataiku to solve our problems and share the successes and lessons learned along the way.
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[Everyday AI Conference] AI in EMEA: Where We Are and Where We're Heading
GRÉGORY HERBERT, Dataiku, EMEA General Manager
From Reyjaïvik to Jeddah, EMEA is facing various maturity levels when it comes to AI.
This video unveils the path toward AI that Dataiku envisions for the region. -
[Everyday AI Conference] MLOps Enablement: The Story Beyond Technology
SUBHADIP ROY, Deloitte, Head of Machine Learning Engineering, AI and Data
The session will cover how different clients are adopting ML Ops capability for scaling their data science models.
The key focus of this session will be to share Deloitte’s thinking adapting to the new ML Ops capability and the impact on the operating model for various organisations.
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[From the Everyday AI Conference] Dataiku for Business by Luxoft
PAUL HEWITT, Luxoft, Director and Practice Leads for AI, ML and Big Data
The Luxoft Analytics team has delivered many Dataiku-based solutions, both internally and externally.
In this presentation, we discuss key success factors for commercially successful implementations and roll-outs.
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Building & Analysing the World's Largest Beach Cleanup Database
ADRIEN GUENARD, The Ocean Cleanup, Computational Modeling Associate
Knowing that 97% of the floating plastic entering the oceans ends-up onshore, various organizations are focusing on beach areas to conduct cleanup activities.
Dataikers and The Ocean Cleanup modelers have collaborated to collect data from over 15 organizations and build the world’s largest beach cleanup database. -
[Everyday AI Conference] Dataiku Business Solutions: Your New Best Friend
SOPHIE DIONNET, Dataiku General Manager, Business Solution
Companies rarely are at a loss for ideas about AI use cases that could improve their business - but having the technical resources or know-how to tackle these problems is a different story.
Dataiku's Industry Solutions are off-the-shelf, starter projects and assets that are designed to help solve vertical-specific challenges.
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Extraordinary People Behind Everyday AI: Standard Chartered Bank
CRAIG TURRELL, Head of Digital & Business Science, Finance Operations at Standard Chartered Bank
How do we elevate people to make better decisions with data?
Beyond the tagline, learn it firsthand from Craig Turrell, Head of Digital & Business Science, Finance Operations at Standard Chartered Bank, who will share his award-winning story. -
[From the Everyday AI Conference] Perspectives from Around Financial Services
JOHN MCCAMBRIDGE, Global Director of Financial Services; JIMMY HENNESSEY, Director of Data Science at ACI Worldwide; & more
Different financial services organisations, including UBS, First International Bank of Israel (FIBI), and ACI Worldwide share their journey to Everyday AI.