Conf42 Machine Learning 2024 - Online

May 30 2024 - premiere 5PM GMT

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Keynote

Global Intelligence Pipeline: How We’re Crafting Inference at the Edge

AI is a hot and rapidly developing topic in the cloud space. In this session, topics covered will include market trends, future directions, training, and inference. Get up to date on the latest AI trends and news, including the value cloud can deliver to AI and Gcore's Inference at the Edge, including real-life scenarios where the company helped customers using AI

Michele Taroni

Gcore

TRACKS:

apis architecture business culture data deep dive deep learning enteprise generative ai llms mlops nlp platorms security tools transformation

Track: apis

Taming the Wild West of Model Deployment

Rachael Ferguson

Deep Learning for Protein Structure Prediction

Iaroslav Geraskin

TikTok

The Influence of Artificial Intelligence on Creative Thought in Design: Exploring the Intersection of AI and Creativity in Shaping the Future

Kirill Sidorets

The Open Platform

Dynamic User Interfaces: Harnessing AI and Machine Learning for Personalized, Emotion-Aware Experiences

Yashwanth Kotha

SHL

Track: architecture

Building a Design System in Limited Timeframes

Elena Shabanova

PolyAI

Maximizing Efficiency with AI Tools as Catalysts

Richard Finlay Tweed

Thought Machine

Leveraging AI to Revolutionize Backend Architectures in Dating Applications: A Python-Centric Approach

Konstantin Berezin

The Open Platform

Track: business

The Human Touch in AI-Driven Business Development: Striking the Right Balance

Marina Korobeynikova

Yandex.Mediaservices

A Product Manager’s Take on the “AI-fication” in the World of Fintech

Adhikar Babu

Worldpay

Track: culture

AI and Disability: Inclusion or Exclusion?

Emmanuelle Aboaf

SHODO

Thanh Lan Doublier

AXA

Navigating the Ethical Terrain of AI-Enhanced Marketing Automation: Strategies for Responsible Innovation

Sravan Yella

HP

Semi-Supervised Learning. How to overcome the lack of labels

Aleksandr Timashov

Meta

Bias in AI: How to monitor, measure and mitigate it using real-life case studies

Ankit Virmani

Google

Track: data

The Art of Data Story Telling, Powered by Oracle Analytics

Ambili T

Rittman Mead

Vector Databases 101 - How do they work?

Stephen Batifol

Zilliz

Why Most Data Projects Fail and How to Avoid It

Jesse Anderson

Big Data Institute

A data-driven approach to Product Discovery

Quoc Cuong Nguyen

Spotify

Track: deep dive

A Beginner's Guide to Adversarial Machine Learning

Anmol Agarwal

Nokia

Understanding the Power of Explainable AI

Sohini Pattanayak

Okta

Design Think before you create your next AI product

Arushi Srivastava

NTT Data

Beyond Human Touch: AI's Emerging Role in Ad Content Creation

Aygun Zarbaliyeva

Meta

Card Payments Lifecycle Explained

Ayomide Johnson

Meta

The Art of ML Testing: Crafting Tests for Complex AI Systems

Eyal Trabelsi

Bigabid

Efficiency through Stateless Microservices: Streamlining Request Handling

Mike Malyi

Youhodler

Framework & Lessons Learned From Building a Generative AI Application

Jason Tan

Engage AI

Track: deep learning

Semantic Segmentation of Blastocyst Images

Ivan Popov

Abound & Render

End-to-End Learning Enabled by Deep Learning

Salman Saeed Khan

Afiniti

Track: enteprise

Unleashing Innovation: Mastering AI Product Management for Enterprises

Pramod Nammi

Meta

Enterprise AI Implementation - Tech Stack, Use-cases and Success Back to original talk

Tabraiz Feham

Aviatrix

Track: generative ai

A GenAI Pipeline for Content Generation with Apache Airflow

Tamara Janina Fingerlin

Astronomer

Unveiling Tomorrow: Exploring the Frontiers of Generative AI

Michal Mikolajczak

datarabbit

Enriching Generative AI as Events in Real-Time Streaming Pipelines

Tim Spann

Cloudera

Track: llms

Self-Hosted Open Source LLMs: Best Practices and Strategies

Joshua Arvin Lat

NuWorks Interactive Labs

Sophie Soliven

edamama

Optimizing Omnichannel Order Fulfillment with AI and Advanced Analytics

Jubin Thomas

Signet Jewelers

Run LLMs across devices with a 2MB Inference App

Michael Yuan

Second State & WasmEdge

Unlocking LLM Potential: A Journey with APIs

Ricardo Covo

Centrilogic

Track: mlops

Forecasting time-series with Polars and Deno

Piotr Stepinski

infinitii ai

MLOps: From Jupyter to Production

Tomas Fernandez

Semaphore

Track: nlp

Real Time and Historical NLP-Enriched Market Dashboard with RisingWave and Chat-GPT

Karin Wolok

Project Elevate

Topic modelling for text documents using NLP techniques

Akshay Jain

Innovate

From Code to Insight: Using NLP and Pattern Analysis in Git History

Pavel Perfilov

Track: platorms

ML in Search: Learning to Rank

Abhinav Jain

Bloomberg

How to build an end-to-end ML Platform

Zhiya Zang

TikTok

Track: security

GDPR and Beyond: Demystifying Data Governance Challenges

Antonio Murgia

Agile Lab

Francesco Valentini

Agile Lab

LLM SecOps

Omer Farooq

Auxin

The Privacy Predicament: Averting the Perils of Data-Hungry Language Models

Pratik Thantharate

Paycor

Track: tools

Using Quix, Hugging Face, and InfluxDB to for Anomaly Detection and Forecasting

Anais Dotis-Georgiou

InfluxData

Optimising Apache Spark and SQL for improved performance

Marcin Szymaniuk

TantusData

Data Generative AI and Real-Time Reporting at Scale

Steve Wasick

infoSentience

Track: transformation

The Rise of AI Agents

Jonathan Harel

Fine

Dan Leshem

Fine

Adapting to Change: Navigating Market Shifts in the Tech Industry

Shishir Jayant

Remitly

Revolutionizing Sustainability: AI-Driven Disassembly for a Circular Economy

Lav Kumar

Salesforce

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