Reinforce 2023 - Bas Geerdink
The culture, architecture and technology of MLOps - how to do machine learning in production at enterprise scale
Company:
Aizonic
Tags:
mlops
machine learning
data engineering
ai
devops
Level: General
In schedule:
Reinforce Stage
October 6, 10:30 - 11:15 CET

Artificial intelligence (AI) has quickly become a main focus topic for organisations and governments worldwide. What started in small R&D environments in the ‘big data’ revolution a few years ago has now grown into a mature practice where data scientists and data engineers work together towards common business goals. AI is powering the finance, retail, energy, and healthcare sectors. This growth a...

Reinforce 2023 - Abhilasha Ravichander
How Can NLP Benefit Consumer Privacy?
Company:
Carnegie Mellon University
Level: General
In schedule:
Reinforce Stage
October 5, 14:00 - 14:45 CET

Privacy plays a crucial role in preserving user autonomy. While internet users care about data privacy, it has become increasingly difficult to understand exactly how information is collected, shared and used by various entities. In this talk, we will examine the privacy challenges involved in building Natural Language Processing (NLP) systems, as well as the potential benefits NLP systems can br...

Reinforce 2023 - Dr. George Tilesch
Reinforce 2023 - Levente Szabados
Wild West's End: how with Responsible AI compliance becomes competitive advantage - a fireside chat with George Tilesch
Company:
PHI INSTITUTE for Augmented Intelligence&
AI Partners, Frankfurt School of Finance and Management, Neuron Solutions
Level: General
In schedule:
Reinforce Stage
October 5, 16:55 - 17:40 CET

Up until recently, the rapid advancements in AI and thirst for progress and monetization mirrored the lawlessness of the Wild West. Yet, as we stand on the cusp of a new era and regulatory wave, there is an increasing pressure on taming this frontier with responsibility and accountability. Many global pack leaders realized the Responsible AI imperative years ago and gained exponential strategic ad...

Reinforce 2023 - Dr. I. Róbert Sipos
Understand cancer with Simulated Cells™
Company:
Turbine.ai
Level: General
In schedule:
Reinforce Stage
October 5, 14:55 - 15:40 CET

Drug discovery is costly, time consuming, model systems have poor translation rates to patients and do not significantly reduce the risk of failure in the clinic. Before running any wet lab experiments, Turbine computationally simulates tumor cell behavior in patients to understand the complex mechanisms driving the disease. Observing these in silico experiments, our biologists and translational e...

Reinforce 2023 - Zoltán Bálint Biczó
Auto ML
Company:
Adatépítész podcast
Level: General
In schedule:
Reinforce Stage
October 6, 11:25 - 12:10 CET
Reinforce 2023 - Milán Janosov, PhD
Network science from fantasy to sustainability
Company:
CEU, Baoba Insurance
Tags:
network science
data science
networks
social networks
geospatial data
gis
spatial analytics
Level: General
In schedule:
Reinforce Stage
October 5, 09:40 - 10:40 CET

...

Reinforce 2023 - Sohini Roychowdhury
Unveiling the 3 steps to create Sustainable and Trustworthy Generative AI Products for Finance-based Use Cases
Company:
Accenture USA
Level: General
In schedule:
Reinforce Stage
October 6, 13:40 - 14:25 CET

Generative Ai chatbots have become increasingly popular over the last year with the launch ofOpenAI’s Chatgpt. However, the current trend for operationalizing foundational large languagemodels (LLMs) that are used in chatbots and fine-tuning them to specific domains have revealedthe fake responses or hallucinations specifically for mathematical operations. Thus, designingchatbot-like products for ...

Reinforce 2023 - Gergely Szertics
AI introduction in the light of organizational AI maturity
Company:
Artificial Intelligence Partners Kft.
Tags:
ai
ai business partner
ai business
Level: General
In schedule:
Reinforce Stage
October 6, 09:10 - 10:10 CET

Often, we can observe that different companies are at various levels of readiness when it comes to using artificial intelligence. Using a holistic organizational AI maturity model, we will review the most common levels of maturity and provide some practical examples of how to initiate (and in most cases, sustainably continue) the development of organizational AI capabilities. Additionally, we will...

Reinforce 2023 - Sergei Bulaev
Next Best Action: Maximizing Customer Value
Company:
EPAM
Tags:
ai_marketing
Level: General
In schedule:
Reinforce Stage
October 5, 10:50 - 11:35 CET

Marketing intelligence, boosted by the capabilities of machine learning, guides us towards the Next Best Action. It ensures that every customer interaction is finely tuned for maximum impact. Our journey will take us through the transformation from business metrics, marketing metrics to machine learning pipeline, where data-driven insights become actionable strategies....

Reinforce 2023 - Katherine Cass
Beyond Model Quality: Approaching fullstack Quality Assurance of AI/ML Platforms (within large organizations)
Company:
Salesforce
Tags:
ai
ml
ai platforms
ai at scale
quality
Level: General

In this topically relevant talk, we’ll take you on a deep dive into the world of AI/ML platform quality assurance - beyond just model quality. We’ll explore the real-world challenges of ensuring quality and reliability for the unique FULL STACK challenges of AI/ML platforms, and share best practices for testing and monitoring that you can start using right away. Whether you’re a seasoned ML expert...

Reinforce 2023 - Sean J. Taylor
Introduction to Sequence Analytics
Company:
Motif Analytics
Level: General
In schedule:
Reinforce Stage
October 5, 11:55 - 12:40 CET

A variety of business processes can be represented and captured as event sequences, especially as product instrumentation becomes more comprehensive. However, low-level event data are challenging to wrangle and model, so analytics professionals typically aggregate data before visualization and estimation. In this talk I provide an overview of Sequence Analytics, an approach that embraces event seq...

Reinforce 2023 - Daniel Miessler
Killer Context: How AI Will Impact Security and Business
Company:
Unsupervised Learning
Level: General
In schedule:
Reinforce Stage
October 6, 16:45 - 17:30 CET
Reinforce 2023 - Konstantin Klemmer
Foundation Models in the Geospatial Domain: Challenges, Opportunities and Applications
Company:
Microsoft
Tags:
machine learning
geospatial data science
foundation models
large language models
computer vision
location analytics
Level: General
In schedule:
Reinforce Stage
October 6, 15:40 - 16:25 CET

A large share of all globally available data can in some shape or form be geo-referenced; mapped onto the sphere of planet Earth. This can be leveraged to train large "foundation" models that fuse different layers of spatial information and learn meaningful representations of every location on the planet. Such models will be transformative for private and public sector alike. From visionary moonsh...

Reinforce 2023 - Gábor Nádai aka Mefi
Reinforce 2023 - Karolina Tóth aka Fancy
Reinforce 2023 - David Schneidhoffer  aka kisPocok
Leadership vs. Expertise: The Line Manager's Dilemma
Company:
Bitrise&
-&
Hopin
Level: General
In schedule:
Innovation Stage
October 5, 16:00 - 16:45 CET

Should your line manager be an expert in your field?Join us for a live recording of AVK podcast aka Leadership anonymous! - a podcast dedicated to spreading modern leadership knowledge and best practices amongst Hungarians! All three of the show hosts are experienced leaders from the tech industry, having worked for startups, medium to large organizations and multinational enterprises as well. At ...

Reinforce 2023 - Irina Loginova
Boosting delivery governance with data-driven approach
Company:
EPAM
Level: General
In schedule:
Innovation Stage
October 5, 11:55 - 12:40 CET

During the presentation you will learn more on how exactly accumulation of metrics from different streams in one place has helped to leverage productivity, enhance stable delivery and engineering excellence....

Reinforce 2023 - Gyula Kovács
If it cannot possibly go wrong, it will still go wrong! - Pitfalls in Retrieval Augmented Generation
Company:
Neuron Solutions
Level: General
In schedule:
Reinforce Stage
October 5, 16:00 - 16:45 CET

In the era of Large Language Models (LLMs), Retrieval Augmented Generation (RAG) has emerged as a crucial technology to bolster the effectiveness of these powerful systems. However, the journey from recognizing its need to successful implementation is fraught with unexpected challenges and complexities. This talk will engage attendees with the subtle, yet significant pitfalls in the process, inclu...

Reinforce 2023 - Wittmann Ádám
Unleash our potential in Hybrid Work
Company:
Bosch
Level: General
In schedule:
Innovation Stage
October 5, 10:50 - 11:35 CET

2023 welcomed our group with multiple planned project deliveries, the hype and demand of hybrid working mode, while half of the team had less than a year experience in their current field.This talk is about what we have done to attack this situation, to build up motivation and competency to achieve project targets and how we’re getting our function development team up to speed while increasing eng...

Reinforce 2023 - Nassim Ibrouchene
The role of automotive Radars in Assisted & Autonomous Driving
Company:
Continental Autonomous Mobility Hungary
Level: General
In schedule:
Innovation Stage
October 5, 14:00 - 14:45 CET

From the first production ready automotive radar in the end of the 90's to today, RADAR sensors have been playing a major role in the development of Assisted & Autonomous Driving. In this talk the followings will be discussed: the important aspects of RADARs, why they are essential and what the future could look like for this technology....

Reinforce 2023 - Alice Walther-Wosnitzka
Reinforce 2023 - Abhash Sinha
Towards next gen Enterprise search - powering the TEAM ZEISS employee portal by genAI
Company:
ZEISS&
ZEISS
Level: General
In schedule:
Innovation Stage
October 5, 14:55 - 15:40 CET

TEAM ZEISS Employee Portal is a vital tool for improving enterprise search capabilities, knowledge sharing, and employee productivity. In this presentation we elaborate on the vision of employee portal as central entry point into the daily work that increases productivity of all employees worldwide and connects as well as enables them. Our comprehensive search experience supports the portal vision...

Reinforce 2023 - Zsolt Vadócz
Kate, your AI-based digital financial assistant from K&H
Company:
K&H
Level: General
In schedule:
Innovation Stage
October 6, 10:30 - 11:15 CET

Prepare for an exciting journey into the future of banking with Kate, the first AI-based digital financial assistant in Hungary. In this presentation, we unravel Kate’s moments from her birth through kindergarten to becoming a real Bank executive reshaping the financial landscape of AI assistants....

Diversity in Tech : The Power of Allyship
Level: General
In schedule:
Innovation Stage
October 6, 11:25 - 12:10 CET

Join us for a dynamic panel discussion on the topic of "The Power of Allyship", featuring prominent tech leaders in the industry: Benaz IraniHajnalka PatakiLeah TharinTheresa JohnsonExplore the current state of diversity, understand the vital role of allyship, and gain actionable insights into breaking down barriers. Discover how the tech industry can evolve into a more inclusive and equitable fu...

Reinforce 2023 - Bas Geerdink
FAST DATA: Concepts, Architecture, and Technology
Company:
Aizonic
Level: General
In schedule:
Reinforce Stage
October 6, 14:45 - 15:30 CET

Streaming analytics (or fast data) is becoming an increasingly popular subject in enterprise organizations because customers want to have real-time experiences, such as notifications and advice based on their online behavior and other users’ actions. A typical streaming analytics solution follows a “pipes and filters” pattern that consists of three main steps: detecting patterns on raw event data ...

Reinforce is going to be part of Compass Tech Summit which means you can choose from several talks in the topics of Data, UX/UI, Product, Engineering Leadership and AI. Click to see more!