Name: Building & Analysing the World's Largest Beach Cleanup Database
Start: 2022-12-22T13:00:00Z
End: 2022-12-22T13:00:16.000Z
Location: BrightTALK

Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. 

More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.

Operationalize Agentic AI Without Compromising Control

Leading financial institutions are moving beyond disconnected tools to deploy scalable, governed AI agents that deliver real business value. Make sure you are one of them!

From risk scoring to personalized offers, Dataiku and Snowflake help organizations build agentic workflows that prove that it's possible to innovate fast without sacrificing oversight, See how it's done and discover real-life examples in this joint guide.

Financial Services AI Agents: The Dataiku + Snowflake Approach

GenAI is transforming financial services, but only when guided by the right guardrails. Join Dataiku and Celestial Systems to learn how leading financial institutions are safely and efficiently modernizing operations with GenAI, driving real-world impact through use cases like summarization, report generation, and customer service automation. 

Designed for financial services leaders tasked with balancing innovation and compliance, this webinar will show how to adopt GenAI rapidly while staying fully aligned with enterprise controls, risk frameworks, and regulatory standards.

What You'll Learn

•How platforms like Dataiku enable governed AI
•How Celestial helps financial institutions build a GenAI roadmap that works
•Real-world use cases in finance

Powered by:

Dataiku: The Universal AI Platform™ Unlock the creation of analytics, models, & agents that people trust, with the control you need to scale.

Celestial: Celestial is your strategic partner for building and scaling AI, combining deep technical expertise with a sharp focus on delivering measurable business impact across the enterprise.

The GenAI Advantage: Smarter, Safer Modernization in Financial Services

Financial institutions are moving from AI exploration to tangible business impact. In this live session, experts from Celestial Systems, Dataiku, and Digital^Shift will share real-world examples of how leading banks, credit unions, and insurers are using AI to enhance customer experience, streamline lending, and strengthen risk management.
You’ll learn how to:

•Build an AI strategy with proven use cases reshaping banking, insurance, and wealth management.

•Streamline loan origination and credit processes using AI for measurable business outcomes.

•Scale beyond proofs of concept with data readiness, governance, and modern infrastructure.

•See AI agents and automation in action driving efficiency across operations.

AI in Financial Services — From Vision to Value

See how leading enterprises are moving from Alteryx to Dataiku in a fraction of the time. Powered by v4c.ai, a trusted migration partner for global enterprises, the v4c Migration Accelerator enables up to 75% automation, ensuring faster, lower-risk transitions with minimal disruption. This webinar is tailored for executives driving cost reduction, operational agility, and data modernization at scale.

Leave Legacy Behind: Fast-Track Your Workflow Migration to Dataiku

Deploying GenAI and agents in financial services is challenging—balancing business needs, AI engineering, and compliance adds complexity.

Join Dataiku and NVIDIA experts for a lively discussion on how to seamlessly integrate GenAI and agents at scale across different compute environments and front-end applications. 

This session will feature a live demonstration of a money laundering detection use case, leveraging Dataiku’s LLM Mesh, accelerated by NVIDIA NIM and NeMo Microservices. Gain practical insights into balancing innovation and governance, and see how scalable GenAI solutions can transform compliance and risk management for financial services.

Key Takeaways:
•Live demo: Anti–money laundering detection using Dataiku’s LLM Mesh + NVIDIA NIM and NeMo Microservices
•Strategies to align business + engineering
•Tips to automate compliance workflows at scale

Dataiku & NVIDIA: Scaling AI Agents in Financial Services

This webinar explores how the strategic partnership of Dataiku, Snowflake, and Deloitte revolutionizes analytics stack modernization. Learn how Snowflake provides the unified data foundation, Dataiku enables advanced AI, GenAI, and intelligent agent development, and Deloitte offers expert strategy and implementation. Discover how this collaboration streamlines operations, enhances efficiency, and drives unprecedented business value from your data.

Modernize Your Analytics Stack With Dataiku, Snowflake, and Deloitte

The analytics landscape is evolving rapidly as organizations embrace modern, cloud-based tools to accelerate insights and innovation. Join our exclusive webinar to discover how Dataiku empowers teams to increase efficiency, unlock the potential of ML and GenAI, and maintain strong governance—all while attracting top talent. You’ll also see a live demo based on real-world examples of companies that have replaced legacy tools like SAS with Dataiku to drive smarter, faster analytics.

Future-Proof Your Analytics: Modernize With Dataiku

Shadow analytics is putting your enterprise data at risk. Without proper oversight, IT loses visibility and control over where and how data is being used across analytics workflows. Shadow analytics — when analytics happen outside IT governance — creates security gaps, compliance risks, and data silos, making it nearly impossible to enforce policies, protect data, and maintain enterprise-wide standards.

End Shadow Analytics and Regain Control Over Enterprise Data With Dataiku

Discover how AWS and Dataiku are enabling next-gen multimodal AI applications that combine text, image, audio, and video for smarter, more adaptive AI agents. This session will introduce Amazon Nova, a new family of foundation models in Amazon Bedrock, and explore its deep integration with features like RAG, fine-tuning, and agentic capabilities. Attendees will see how the Dataiku LLM Mesh connects seamlessly to Nova models for building enterprise-ready generative AI applications using entirely visual, code-free data flows.

Pioneering Next-gen Multimodal Agentic AI Applications with AWS and Dataiku

In this conversation, Florian Douetteau (Co-Founder & CEO of Dataiku) and Lynn Heidmann (VP Content & Product Marketing) unpack:

- Why designing an agent differs radically from one industry to another.
- How human-AI collaboration actually works in practice.
- Candid insights from common roadblocks moving from testing to production.

Whether you're just exploring the concept of AI agents or navigating the road to deployment, this video brings you the insights you need to move forward, faster.

Enterprise AI Agents in March 2025: Let's Debunk the Hype

In this hands-on webinar, discover how AI agents allow us to rethink data interactions. Experience how Dataiku allows you to build business-purpose AI agents that transform complex data into intuitive, conversational experiences and full automation while ensuring reliability and security.

Building an AI Agent in Dataiku

In this webinar, we'll walk you through a live demo showcasing how an AI agent can use tools like dataset lookup, web search, and email notifications to take action and deliver results — fast. Whether you're looking to automate tasks, streamline processes, or create custom solutions, this session is your ticket to mastering AI agent workflows in Dataiku.

Inside the AI Agent Toolbox

AI agents promise automation and efficiency, but how can enterprises utilise them while maintaining control? This session explores the evolving role of agents, their distinction from GenAI, and the key enablers businesses must set in place to maximise the generated value.

AI Agents - Making Them Work in an Enterprise Environment

2025 marks a pivotal year for generative AI, transitioning from revolution to reckoning, with trends like AI agents, ROI challenges, and governance shaping its future. This webinar explores these dynamics with industry data and real-world examples, equipping attendees to avoid the "commodity trap" and lead in the age of agentic AI with innovative, ROI-driven applications.

5 GenAI Trends That Will Shape 2025

Join us for an exclusive webinar designed for data professionals considering migrating from SAS to Dataiku powered by the Corios Analytics Modernization Platform (AMP). In this session, we will explore the key benefits and best practices of making the switch, ensuring a smooth transition while maximizing your analytics capabilities.

Bridging the Gap: SAS to Dataiku Migration with Corios

With 90% of senior AI leaders investing in Generative AI (GenAI), this technology is now a cornerstone of modern business strategy. An annual survey from Dataiku and Databricks builds on last year's insights and reveals how organizations are evolving their GenAI usage. From shifting budget priorities to tracking ROI and discovering new use cases, the report provides a comprehensive view of the rapidly changing GenAI landscape.

AI by the Numbers: Cracking the GenAI Code for Business Growth With Dataiku and  Databricks

In an era where Generative AI is revolutionizing industries, the life sciences sector stands to benefit immensely from AI-powered solutions. This webinar, jointly presented by AWS and Dataiku, delves into building AI-driven chatbots in the life sciences domain.
Participants will gain insights into the latest advancements in the Generative AI space, underpinned by robust AI and machine learning frameworks. Experts from AWS and Dataiku will demonstrate how these intelligent chatbots can streamline research, enhance patient engagement, and improve operational efficiencies within life sciences organizations.

This webinar is designed for data scientists, AI enthusiasts, and professionals in the life sciences sector seeking to harness the power of AI to drive innovation and operational excellence. Join us to explore how AI-powered chatbots can reshape the future of life sciences.

Building AI-Powered Chatbots for Life Sciences Applications

Join us for an exclusive webinar where we reveal an exciting new chapter in our journey with our partner community, a pure-play strategic services partner, v4c.ai 

About the Webinar:
Hear how v4c.ai emerges as the next generation of a Dataiku boutique services partner
Learn how v4c.ai brings unique industry expertise to drive business value to Dataiku customers
Learn more about the Dataiku migration tool 
Dive into the stories of success with current v4c.ai customers in the era of GenAI and how Dataiku has impacted their businesses

See Why Dataiku Is a 2024 Gartner Magic Quadrant Leader.

Next Generation AI: How v4c.ai and Dataiku are teaming up to deliver solutions for today and tomorrow

Different financial services organisations, including UBS, First International Bank of Israel (FIBI), and ACI Worldwide share their journey to Everyday AI.

[From the Everyday AI Conference] Perspectives from Around Financial Services

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.

Extraordinary People Behind Everyday AI: Standard Chartered Bank

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.

[Everyday AI Conference] Dataiku Business Solutions: Your New Best Friend

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.

[From the Everyday AI Conference] Dataiku for Business by Luxoft

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.

[Everyday AI Conference] MLOps Enablement: The Story Beyond Technology

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] AI in EMEA: Where We Are and Where We're Heading

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.

[From the Everyday AI Conference] To the Skies, AI, and Beyond: GE Aviation

[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.

Overcome Silos & Enhance Collaboration with Full Stack Solutions

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.

[From the Everyday AI Conference] The Secret Life of an Actuary

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] Unleashing the Power of Decision Science

[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.

Have We Democratized the Data Industry When a Minority Rule?

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.

Vending machines and self-checkout technology transformed the retail industry. An innovative approach to self-service propelled IKEA to become the world's most successful furniture business. In the world of analytics, we are on the cusp of a similar transformation, but how can we sell and implement the vision of self-service analytics across the enterprise? 

This webinar will share some practical tips from the AZ journey in engaging the grassroots and leadership to embrace and implement this paradigm.

[Everyday AI Conference] AstraZeneca: Selling Self-Service to the Enterprise

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?

[From the Everyday AI Conference] Lloyds: Practical Application of Fairness

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.

[From the Everyday AI Conference] 5 Ways to Fail at Machine Learning

Everyday AI Conference by Dataiku

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.

Building & Analysing the World's Largest Beach Cleanup Database

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Ocean Cleanup

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Building & Analysing the World's Largest Beach Cleanup Database

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Dataiku