How to Run AI at scale in hybrid cloud

“Scaling AI continues to be a significant challenge, one problem for scaling AI is the complex IT infrastructure and governance needed when deploying numerous AI models” - Gartner (2022). In related research, they reported that a majority of AI projects fail to make it to production.

Let's change that!

2-11-2022  /   13-17 PM (CEST) /  in-person event
The Hague Security Delta Campus

Wilhelmina van Pruisenweg 104
2595 AN The Hague – Innovation room 1

1

Fuel the digital transformation

In this event, we will explain how to run your AI project successfully and maximize the value of your data science efforts. From start-ups to well established industries, the possibilities for data AI workflows can fuel the digital transformation.
2

POC to AI workflows

One of today’s biggest challenges is transitioning from a proof-of-concept to scalable enterprise-grade AI workflows. Doing so cost-effectively and strategically requires a clear roadmap with the right platforms and definitive knowledge of the required capabilities

Meet the Speakers

Ruben Raadsheer

Ruben Raadsheer

EMEA AI Enablement manager

With over 15 years’ experience in the IT industry, Ruben combines channel experience and commercial acumen with his technical background. Currently Ruben supports NVIDIA’s EMEA partners getting the most out of NVIDIA’s accelerated computing platform. Connecting class-leading hardware to industry-transforming software and frameworks. Ruben enables partners to integrate NVIDIA solutions into their offerings however best for them.

About NVIDIA

NVIDIA AI is the end-to-end open platform for production AI. It includes accelerated computing infrastructure and a software stack that encompasses infrastructure optimization and deployment, AI and data science development tools, and domain-specific application frameworks. NVIDIA AI enables organizations to become productive quickly, with the versatility to support the whole AI pipeline, the agility to run wherever needed, and the performance to achieve results efficiently and at scale.  

Shimon Ben-David

Chief Technology Officer · WEKA

Shimon Ben-David actively engages with customers and partners to track emerging trends and to bring actionable feedback to Engineering and Product Management.
In his near 7 years at WEKA, he has had leadership roles in both Support and Sales Engineering. Prior to joining WEKA he ran Support Services for Primary Data, XtremIO, and IBM. Shimon met the leadership team of WEKA when he managed IT at XIV, acquired by IBM in 2007. Mr. Ben-David studied Computer Science and Philosophy at Ramat Gan University.

About WEKA

WEKA – The Data Platform for AI. WEKA delivers the industry’s first multicloud data platform for artificial intelligence (AI), machine learning (ML), and other next-generation workloads. The WEKA® Data Platform’s advanced architecture is optimized to solve complex data management challenges and provide consistently epic performance at scale across on-premises, edge, hybrid and multi cloud environments

  

Shimon Ben-David (1)
Jonathan Berte

Jonathan Berte

Founder & chairman of the board at Robovision

Jonathan Berte is the mastermind and the main driving force behind Robovision. With a background in applied physics and specialised in image processing, he built a strong reputation for developing custom solutions for machine vision and robotics. Robovision is what it is today in large part thanks to Jonathan’s philosophy of building applications the “hard way.” As a founder, he is continuously looking beyond the short-term horizon and monitoring early-stage ideas in our market.

About Robovision

Robovision – Take control of your AI vision
Robovision is a central platform to manage vision intelligence inside smart machines. Successfully introduce AI in dynamic environments without the need for AI experts.

Yannick Maltha

CEO & Co-founder · UbiOps

Yannick Maltha is co-founder and CEO of UbiOps. At the Delft University of Technology, he graduated cum laude in Systems Engineering, Policy Analysis and Management. Prior to UbiOps, Yannick has been president of YES!Delft Students, part of one of the largest tech incubators in Europe. Working in the AI/ML domain, Yannick’s mission is to provide organisations the means to operate and share their intelligence in an easy and scalable way.

About UbiOps

UbiOps is a fully-managed deployment and serving platform to run and manage data science & AI models. In the cloud, on-premise or hybrid. With UbiOps you can turn your Python & R models into powerful applications without the need of IT infrastructure knowledge. UbiOps automatically containerizes your code and creates a service with its own API and takes care of handling requests, automatic scaling, monitoring and security. UbiOps is being used by deeptech, mid/large enterprises and Cloud/HPC AI providers.

Yannick UbiOps

Agenda

13.00 — 13:30 walk in

Keynote:

The challenge to make every business better, more intelligent and more efficient by infusing it with AI. Why AI adoption is speeding up to meet global challenges and improve business performance across the value chain. (by NVIDIA EMEA AI Enablement manager)

Session 1:

Managing vision AI in dynamic environments that require continuous retraining. (Jonathan Berte: Founder & chairman of the board at Robovision)

BREAK

Session 2:

The modern data platform for AI that maximes performance, scalability and reliability. (Shimon Ben-David: CTO Weka)

Session 3:

Large-scale applications relying on MLops platform technology: an overview of our learnings. (Yannick Maltha: CEO Ubiops)

BREAK

16.00 - 17:00

Speed-dating with the speakers & Networking - Drinks - Bytes

Join us to discover how to solve the most important Data and MLOps challenges like performance, availability and cost.

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