Tag Archives: Dataiku

AI, News

Dataiku 11 Unveils Enhanced Toolset to Scale AI

New release provides advanced capabilities for experts and automation for business users to help embrace Everyday AI

EVERYDAY AI CONFERENCE – LONDON: 20 June 2022 – Dataiku today announced Dataiku 11, a pivotal update of the company’s data science and AI platform that helps organizations to deliver on the promise of Everyday AI. This packed release provides new capabilities for expert teams to deliver more value at scale, enables tech-savvy workers to take on more expansive challenges, helps non-technical workers more easily engage with AI, and provides strengthened AI Governance to ensure projects are robust, transparent, and ready for success at scale.

Dataiku 11 builds on Dataiku’s recent market momentum, in which the company crossed $150 million in annual recurring revenue and hired tech finance veteran Adam Towns as CFO. The company now serves more than 500 enterprises globally, helping leaders from Boeing to Unilever to speed workflows, prevent customer churn, and improve financial performance.

Empowering the Expert Technical Community

In Dataiku 11, tech experts can now access expanded tools to do more and deliver more value from AI projects. Release highlights include:

  • Built-in tooling for advanced users that reduces technical overhead and increases day-to-day efficiency when crafting custom code, performing model experiments, or sourcing high-quality datasets.
  • An end-to-end, visual path for computer vision tasks so that advanced and novice data scientists alike can tackle complex object detection and image classification use cases, from data preparation through to developing and deploying deep learning models.
  • A collaborative, managed framework for image annotation removes the need for teams to use outside tools or services for data labeling, ensuring tight alignment between subject matter experts, labelers, and modelers.

“Expert data scientists, data engineers, and ML engineers are some of the most valuable and sought-after jobs today,” said Clément Stenac, CTO and a co-founder of Dataiku. “Yet all too often, talented data scientists spend most of their time on low-value logistics like setting up and maintaining environments, preparing data, and putting projects into production. With extensive automation built into Dataiku 11, we’re helping companies eliminate the frustrating busywork so companies can make more of their AI investment quickly and ultimately create a culture of AI to transform industries.”

Collaborating With Your Skilled Workforce

Dataiku 11 also empowers non-coders— including subject matter experts, citizen data scientists, and knowledge workers — with easy-to-use, no-code tools that help any employee harness the power of AI to move the business forward. New tools include:

  • Visual time series forecasting enables professionals to create robust business forecasting models without coding.
  • A centralized feature store and new sharing workflows make it easier for teams to safely reuse work, speeding projects responsibly.
  • Powerful what-if accelerators help teams evaluate the best path to optimize business outcomes. For example, what changes could a manufacturer make to factory conditions in order to achieve the maximum production yield? Or for a bank, what adjustments to a consumer’s financial profile would lead to the lowest predicted probability of their defaulting on a loan?

Expanding Confidence and Control

Dataiku 11 continues the pursuit of Responsible AI practices and AI Governance with new capabilities to help organizations manage trust and risk for their organization. Core to this expanded offering is a central registry for visibility into all types of data and analytics projects together with final sign-off prior to production. Automatic flow documentation and proactive model stress testing further strengthen AI models, instilling executive confidence in projects and building trust with data consumers and stakeholders.

“Dataiku 11 takes a valuable step forward to help our organization thrive with AI and self-service analytics. They’re making AI easier to use for technical and non-technical staff alike while delivering powerful results that have a substantive effect on our bottom line. Best of all, we don’t need to hire an army of technical experts to reap the benefits of AI; instead, we’re empowering the skilled workforce we already have,” stated Ignacio Toledo, Data Science Initiative Lead at ALMA Observatory, Dataiku Neuron and Frontrunner Award Winner.

Dataiku unveiled Dataiku 11 today at its premier data and AI conference in London, held today in Tobacco Dock and attended by more than 700 global data leaders and practitioners. The product will be GA in July.

Learn more about Dataiku 11 here: https://discover.dataiku.com/dataiku-11/.

AI, News

Dataiku Invites Global and Local Data Leaders to Everyday AI Conference in London

More than 40 sessions and speakers from Snowflake, Deloitte, InterWorks and more await attendees of Dataiku’s newest conference in London, June 21st at Tobacco Dock

LONDON: 23rd May, 2022: Registration is open for the Everyday AI Conference in London by Dataiku, a premier data and AI conference, which will be held in Tobacco Dock on June 21st of this year. More than 700 global data leaders and practitioners will attend — including CDOs, CIOs, analytics executives, team leads, data scientists, and others — from the world’s top global companies.

At the Everyday AI Conference in London, guests will have the opportunity to listen to more than 40 speakers, including industry leaders changing the way their business leverages data with Everyday AI. Dataiku AI Evangelist Simone Larsson will MC the conference.

Shaun McGirr, EMEA Director of AI Strategy at Dataiku, says the conference will run four tracks including Empower: Connecting Data & Doers, Accelerate: From Theory to Practice, Imagine: What’s Next? and the Dataiku Product Track.

“We believe there’s no industry or process that can’t stand to benefit from AI,” said McGirr. “We’re incredibly excited to provide a platform for real-world stories that epitomise what happens when you connect data and doers through the power of Everyday AI. From bread and butter use cases to the moonshots on the cutting edge, this conference is all about celebrating the business impact of what is possible.”

Attendees will also be able to visit the Dataiku Innovation Hub where they can meet Dataiku experts, and sponsoring partners Snowflake, Deloitte, InterWorks, and Luxoft who will be presenting and discussing the latest ideas, practices and solutions in the data and analytics space.

Guests will also have access to dedicated 1:1 meetings with service teams and various other forums designed to promote interaction amongst Dataiku customers, partners, conference speakers and Dataiku executives.

“In 2017 Dataiku launched EGG, the large-scale AI conference that grew to six events across major cities worldwide in 2019. Since then, the world — and the field of AI — has fundamentally changed,” said Gregory Herbert, Senior Vice President, EMEA, Dataiku. “The Everyday AI Conference is the next evolution, exploring new themes and ideas in the same great setting. We’re attracting the best and brightest minds in data across a variety of industries, from finance to energy to retail and more.”

Click here to register: https://conference.dataiku.com/everyday-ai-london/registration/purchase and visit the Everyday AI Conference London site for further event information.

Appointments

Dataiku Expands UK Team With Appointment of Simone Larsson, AI Evangelist

The leading AI unicorn welcomes former Accenture and Digital Catapult senior AI strategist to its UK team

LONDON, 28th January, 2022 — Dataiku, the platform for Everyday AI, today announced the appointment of Simone Larsson as AI Evangelist. Larsson joins the company’s growing UK team to help Dataiku’s UK customer base systemise and scale the use of data and AI strategically.

An MBA graduate of Cambridge and former AI Council Co-Chair for the British Interactive Media Association, Larsson brings 15 years of executive-level technology consulting experience to Dataiku. She was most recently AI & ML Commercial Product Lead at Digital Catapult, the UK government and Innovate UK-backed innovation agency for championing the adoption of advanced digital technologies.

Additionally, Larsson spent five years at Accenture in Washington DC and London, where she led agile technology delivery and Phase Zero “art of the possible” AI projects. Prior to Accenture, she was a founding member of the UK and Ireland Business Transformation Strategy practice at Atos.

“Dataiku’s UK team has seen some exceptional business results for its customers, particularly over the past few years, and I am pleased to be part of that,” said Larsson. “We’re helping to elevate our customers — whether on the business side and low- or no-code or technical and working in code — it’s great to enable companies to reach their goals and connect data and doers with Everyday AI.”

Larsson’s appointment follows a period of accelerated growth for Dataiku. In August 2021, Dataiku raised $400 million at a $4.6 billion valuation. Dataiku was listed as one of Forbes’ Best Startup Employers of 2021 and also named for the second year in a row a *Leader in the March 2021 Gartner Magic Quadrant for Data Science and Machine-Learning Platforms.

“The growth of the UK tech sector is recognised globally as a model that new tech hubs seek to emulate, and we’re proud of the world-class team we are building in London and beyond,” said Shaun McGirr, EMEA Director of AI Strategy at Dataiku. “Simone’s unique combination of deep applied technology expertise and extensive experience gained from leadership roles in tier 1 consulting firms are already proving invaluable to our team and our customers in their Everyday AI journeys. Her work as a mentor and advisor will also help to grow our team as we continue to expand in the UK.”

*Gartner, Magic Quadrant for Data Science and Machine-Learning Platforms, Peter Krensky, Carlie Idoine, Erick Brethenoux, Pieter den Hamer, Farhan Choudhary, Afraz Jaffri, Shubhangi Vashisth, 1 March 2021. The report was previously titled Magic Quadrant for Data Science Platforms.

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