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OCTOBER 18-28, HYPERIGHT DATA CLUB, Tegnérgatan 14

HP Data Science Open Stockholm

EXPERIENCE WHAT PUSHES DATA SCIENCE LIMITS

BROUGHT TO YOU IN COLLABORATION WITH

Welcome to HP Data Science Open in Stockholm

Experience two weeks of seminars, drop-in sessions, exhibitions, workshops, tournaments,competitions and more.
FIRST OF IT’S KIND EXPERIENCE
A brand-new immersive format that enables hands-on technical experience and true peer-to-peer knowledge sharing with clear and immediate takeaways and impact to participants.
TWO WEEKS OF DS/ML MASTERY
Two weeks dedicated to Data Science, Machine Learning and High Performance Computing, DevOps, DataOps, MLOps, HPC, Leadership and much more.
CHOOSE BETWEEN 20+ ACTIVITIES
Choose between variety of different activities such as presentations,roundtables, workshops, hands-on crash courses, competitions, parties, each designed to provide max learning .
Z BY HP HANDS- ON EXPERIENCE
Experience or compare Data Science on serious high- performance computers placed in the venue during the Open days. Bring your data or test data science on one of the ready datasets
MEET EXPERTS AND PEERS
Meet the Data Science strategy, organization, technology and methodology experts and peers working in some of the most innovative companies in the Nordics and beyond.
REGISTER OR DROP-IN
During the Open days, there is an official program that requires registration but most of the time you can just drop in, test the powerful workstations, work, learn and network.

The HPDS Open at Glance

HPDS Open is a two-week exhibition and series of events where everyone is welcome to drop in and try the world’s most powerful workstations and data science hardware from Z by HP.
Like open sports events the HPDS Open is an opportunity for decision makers outside of data-science to become part of AI and data initiatives with the aim of accelerating adoption and driving impact at scale. Join us to become part of the change.

Drop in. Experience and learn

Below, you can find the desktop and mobile workstations available for testing during the HP Data Science Open event.

Z BY HP DATA SCIENCE SOLUTIONS

Meet the Speakers

Kajsa Norin
NLP specialist, KN Consulting
Errol Koolmeister
Executive Advisor, The AI Framework
Bissane Belhadji
Cloud Solution Engineer, Microsoft
Ala Tarighati
Group Chief Data Scientist, SEB
Julien Bisconti
Data Engineer, GDE for Google Cloud
Rockie Yang
Founder & Senior Data Engineer, Knock Data
Mattias Fras
Group Head of AI, Nordea
Ramak Robinson
Area Lead Engineer, H&M
Lars Albertsson
Founder, Scling
Erik Peterson
Data Scientist, Swedbank
Björn Hertzberg
Executive Advisor, The AI Framework
Rahman Amandius
Head of Accelerated ML, Voi
Liangfeng Hu
Principal Data Scientist, The AI Framework
Zenodia Charpy
Senior Deep Learning Architect, NVIDIA
Robert Luciani
Executive Advisor, The AI Framework
Josefine Boqvist
Head of Analatycs, Telia Group
Olof Granberg
Director of Data and Advanced Analytics Technology, ICA Group
Mikael Huss
Founder & Principal Scientist, Codon Consulting
Albin Blum
Founder, Theodora Tech
Trygve Karper
CEO & Founder, Databutton

Program 18th - 28th October

Day 1 - 18th October
Opening night
HPDS Open is a two-week exhibition and series of events where everyone is welcome to drop in and try the world’s most powerful workstations and data science hardware from Z by HP.
  • 16:00 Early registration & Pre Mingle
  • 17:15 Chairman Opening Remarks - - Robert Luciani, Executive Advisor, The AI Framework
  • 17:30 Welcome Speech - Albert Bruhner, Business Development Manager Nordics - Data Science Solutions, HP
  • 17:45 Designing great user experiences (with AI) - Danwei Tran, Head of Design, Detectify
  • 18:10 Mingle and Workstation Expo
DAY2 - 19TH OCTOBER
EXECUTIVE STRATEGY
Infusing AI across products and services to gain competitive advantage requires a company-wide strategy. One needs to create effective teams, prioritize high-value projects, and make use of relevant technology. This day focuses on all the strategic challenges that executive decision-makers face.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:00 The capability-led approach to scaling AI initiatives - Errol Koolmeister, Executive Advisor, The AI Framework
  • 17:45 The setup of an AI strategy that actually makes an impact - Mattias Fras, Nordea
DAY 3 - 20TH OCTOBER
COMMUNITY & UPSKILLING
Beyond the challenge of recruiting skilled talent in your organization, an equally important part is enabling people to do their best work. Join us here to take part in what to think about and what to avoid when it comes to building your data science capability, including organization, and career profiles, to driving an entrepreneurial culture.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 How to build extremely effective teams - Björn Hertzberg, The AI Framework
  • 18:15 Software craftmanship: you’ll be doomed without it - Albin Blum, Theodora Tech
DAY4 - 21ST OCTOBER
TECHNICAL PLATFORMS
The engineering challenge of AI and data development is made more pleasant with the help of tooling and best practices that we can draw inspiration from. There are many software engineering principles that we can build on directly, and the nuances of AI and data engineering have come into their own.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 The day DataOps came to Scandinavia - Lars Albertsson, Founder, Scling
  • 18:15 Very large language models and how to train them! - Zenodia Charpy, NVIDIA
  • LAN Party
DAY5 - 24th OCTOBER
DEVOPS
Infusing AI across products and services to gain competitive advantage requires a company-wide strategy. One needs to create effective teams, prioritize high-value projects, and make use of relevant technology. This day focuses on all the strategic challenges that executive decision-makers face.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 Building custom data applications under insane expectations - Trygve Karper, CEO, Databutton
  • 18.00 Building robust data pipelines for ML models, Olof Granberg, Director of Data & AI, ICA Gruppen
  • 18:40 Building the DevOps ship while sailing it - Bissane Belhadji, Data Scientist, Microsoft
  • 19:00 Modern hardware for Data Scientists, Albert Bruhner, Stefan Jeleby, Deon Williams, Carl-Johan Mattsson, HP
DAY6 - 25th OCTOBER
MLOPS
As ML becomes an integral part of services and products, life-cycle management of ML components becomes paramount. This day is dedicated to workflows that increase the reliability and efficiency with which we take ML models from ideation into production.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 Lessons from the trenches: building ML platforms - Julien Bisconti, Data Engineer, Eiljnu
  • 18:00 Why our Data Science projects fail - Ala Tarighati, Group Chief Data Scientist, SEB
  • 18:30 Murphys law applied to analytics and what I learnt so far… - Josefine Boqvist, Head of Analytics, Telia
DAY7 - 26th OCTOBER
DATAOPS
Perhaps the most important task of a data scientist is to conceptualize and model a problem and its underlying data appropriately for a given project. Things like data lineage, repeatability, and robustness are things that are often sacrificed when they don’t have to. Join us to see how modern tooling can increase processing efficiency while maintaining enterprise-grade data management.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 Big-Data processing design patterns - Erik Peterson, Data Scientist, Swedbank
  • 18:15 Lessons learned from working with small-data projects - Mikael Huss, Principal Data Scientist, Codon Consulting
DAY8 - 27th OCTOBER
DIGITAL ACCELERATION
A great strategy is not operational without tactics that scale beyond a small team. This day is dedicated to the practicalities of building momentum in an AI strategy across your entire organization. Join us as we walk through a plethora of use cases that exemplify everything from dissecting value propositions to measuring progress, and scaling AI capabilities far beyond a small team.
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 Modern AI powered vision systems - Rahman Amandius, Head of Accelerated ML, Voi
  • 17:45 Don't Transform, Evolve - Ramak Robinson, Area Lead Engineer, H&M
  • 17:45 Designing data application would be easy if only... - Rockie Yang, Founder, Knock Data
DAY9 - 28th OCTOBER
FUTURE OF AI & ALGORITHMS
The fog of astounding technology and its inevitable hype makes it difficult to know where AI is headed. Why are companies spending billions on quantum computers? Can we deploy AI models that claim they’re sentient? Is AI moving away from mathematics and into compiler design, chip design, and computer engineering?
  • 11:00 Drop-in Work and Learn
  • 16:30 Evening Program Registration Opens
  • 17:30 Is AI prompting the programming language of the future? - Kajsa Norin, 
  • 18:15 Code Kata: Spark vs. Python vs. Julia - Robert Luciani, Liangfeng Hu, Aladdin Persson, The AI Framework
  • 19:00 HP DS Open Tournament - Valorant 5v5

Competitions & Activities

The HPDSO22 - Stockholm Challenge

The HPDSO - Stockholm 2022 Challenge aims to showcase the ingenuity of data scientists, and test everything from hardware performance to engineering prowess. Competitors will be asked to load, process, and visualize a simple synthetic dataset whose volume and unconventional data structure allow for a multitude of interesting approaches.

Sign up

Rules

Any programming language and libraries may be used. Check the README.md on Github for further details. On October 28th submissions will be run on a HP Z8 workstation with 72 vCPUs, 384GB of RAM, 512GB of Optane block storage, and dual RTX8000 cards. The winner will be selected according to 3 criteria: correctness, speed, and elegance. A link to the code for performing all tasks must be emailed to robert@taif.co no later than 23:00 October 26th. The code must be hosted on an Internet accessible git repository and any commits after the deadline will be ignored.

Prize

The winning team of data scientists will get to bring back HP’s most extreme workstation, the Z8, and use it on their own data for six full months. In addition, the winning team will have their name eternalized on the HP DSO cup, placed for everybody to see and admire in the window of Hyperight Data Club – that is, until next year when they will be challenged once again!

The Valorant Tournament

DSO Tournament is the first corporate computer-game competition for the broader data science community. We work hard, we play hard. The inaugural DSO 22 tournament will be in the free-to-play game Valorant, a collaborative first person shooter similar to Counter Strike but with modern additions such as “heroes” and their spells - evening out the field between seasoned gamers and casual enthusiasts. The necessary computers and peripherals will be provided on-site by HP & HyperX.

Sign up

To sign up, mark your interest in the signup process for the event. You will receive an email invite to register yourself in the tournament management application. In the meantime, feel free to download and play Valorant at https://playvalorant.com/

Rules

The tournament is double elimination with winner and loser brackets on the map Pearl. Each corporate team needs to have one person working in the domain of data science. Teams must be between 3 to 5 members. For teams of less than 5, filler members will be provided on site. A typical Valorant game can be around 35 minutes, but can be as short as 15 minutes and as long as 70 minutes in extreme- ly rare cases. Depending on the number of teams signed up, qualifier matches will be played during the DSO LAN party on the evening of Friday the 21st. The finals will be played on the last evening of DSO on the 28th of October.

Prize

Team members of the top two teams will also be receiving awesome peripherals from HyperX and other merch to help them work harder and play harder!

LAN Party!!

On Friday the 21th of October we will hold an after-hours LAN party at the Data Club with a multitude of geeky activities. Attendees will be able to enjoy the infamous hot-chip challenge, partake in our energy-drink taste test and debate, wreak havoc on your noob peers in classic game titles such as Tekken 3 on the PS1 and more. We will also run a Valorant workshop for those who are looking to gain competitive edge in the Valorant tournament. Naturally, you’ll be able to experiment and play with the most powerful HP Z workstations together with fellow enthusiasts and data science experts throughout the evening. Ps. If the interest for the HP DSO Valorant tournament is high, qualifier matches will also be held during the Lan Party.

After Mingles

After the key activities of the DSO exhibition are finished with we will continue over to Space gaming arena, stone throw away from the Data Club. At space those who wish to join us at the after party will be provided with drink tickets and free gaming hour with state-of- the-art gaming computers with a wast selection of games. We will of course continue to play additional matches of Valorant in various game modes like Escalation and death match. Additional information about the Space community & facilities can be found at Space.cc