Global Artificial Intelligence Virtual Conference Sep 2020
2020-09-16..2020-09-18
-- online --
| title | author | length |
|---|---|---|
| Skin Cancer Detection using AI | Sreya Muppalla, Shreyaan Pathak | 36m |
Prototype app classifies ISIC 2018 lesion images using a Pix2PixGAN for background removal and a DenseNet-based CNN for benign vs malignant diagnosis, moving… | ||
| General Keynote: BigTech Disruption in Healthcare | Srini Gurrapu | 50m |
Big tech (Apple, Amazon, Google, Microsoft, Facebook) moves into healthcare with concrete bets: AI for diagnosis (about 17 startups targeting imaging and… | ||
| Keynote Panel: AI in Quantum Computing | Terrill Frantz, Denise Ruffner, Chris Papile, Chris Fregly, Christopher Bishop | 01h 02m |
Cambridge Quantum Computing launches a beta quantum random number generation service on IBM Quantum that returns certified randomness for cryptography and… | ||
| Keynote Panel: AI in Healthcare | Srini Gurrapu, Maryam Gholami, Michael Calhoun, Rohan Dsouza, Cyril Philip | 01h 00m |
Panel evaluates concrete deployments and roadblocks: a rollout of CT-based cancer screening that began as crowd‑sourced image scoring then used AI to discover… | ||
| DeepBrew – AI | Brian Ames | 45m |
A production platform called DeepBrew runs on Azure with a datalake, Databricks ETL, Docker/AKS, Git + Sonar + CI/CD and preapproved PII access to avoid… | ||
| Quantum Computing | Chris Fregly | 47m |
Amazon Web Services launches amazon bracket as a pay‑per‑task Jupyter workflow that runs circuits on simulators and real QPUs (IonQ, D‑Wave, Rigetti), logs… | ||
| Reinforcement Learning in Business Applications | Anand Oka | 34m |
Claims that reinforcement learning can tune fraud thresholds online using a 5‑dimensional hourly state (volume, fraud pressure, false positives, true… | ||
| Unlock the potential of your data: Optimize your data store architecture... | Andrea Fabrizi | 39m |
Claims that GPU training needs sustained 100 gigabytes a second class throughput and per-GPU streaming of 1–10 GB/s, that datasets grow from petabytes to… | ||
| Keynote: AI, ML, Cloud for ML | Andrei Lopatenko | 36m |
Argues that AI must live in every layer of a large search stack — indexing, deduplication, attribute extraction, query understanding, retrieval, ranking and UI… | ||
| Video analytics at scale: Deep Learning, Computer Vision, ML & Spark | Claudiu Barbura | 36m |
A video-analysis pipeline called nash Azure marketplace is built and published within two months, running on Azure AD, Blob Storage, Databricks containers… | ||
| Strategies for Human-AI Interaction and Collaboration | Phillip Hunter | 36m |
Phillip Hunter, Founder, CCAI Services Speaker at Global #ArtificialIntelligence Virtual Conference Sep 16-18, 2020
Speaker Bio:
Phillip is a technology… | ||
| AI/ ML Consumption Models - How to leverage AI/ ML for your Enterprise... | Sriram Subramanian | 42m |
Compares AI/ML consumption to cloud’s IaaS/PaaS/SaaS spectrum, claiming most enterprises should start right of “build” unless the use case demands full… | ||
| GPU Training Made Easy-Pre-train & fine-tune NLP models | Vamsi Sistla | 41m |
Demo uses minGPT on PyTorch with four 2080 Ti GPUs to pretrain a character-level model on ~1.1M Shakespeare characters (65 unique chars); configured model is 8… | ||
| Developing and implementing an effective patenting strategy | Alan Minsk | 26m |
Patent strategy advice centers on concrete steps: identify patentable technical fixes, capture detailed enablement and written description before public… | ||
| Building End-to-End Machine Learning Workflows with Kubernetes... | Antje Barth | 34m |
Shows a concrete end-to-end setup: building Kubeflow Pipelines with the kfp SDK (version shown), running on Kubernetes/EKS and orchestrating Amazon SageMaker… | ||
| How Blockchain is disrupting the Finance Industry | Anurag Yadav | 01h 03m |
Argues that blockchain already reduces counterparty friction by replacing intermediaries with smart contracts that auto‑release payments (example: cold‑chain… | ||
| User Experience Now Includes Machine Experience | Marianne Sweeny | 23m |
Argues that machines are users too and recommends concrete practices: build an AI journey map that maps decision trees and explicit sequences, attach system… | ||
| Multi-channel optimal path sequencing through Bayesian DL | Vishal Hawa | 42m |
Marketing channel sequencing has ~5 trillion possible paths but only ~1 million observations, so an RNN memorizes sparse sequences and returns unstable jumps… | ||
| Hard things about Sales - and how A/B testing can help | Pavel Dmitriev | 24m |
Pavel Dmitriev, VP Data Science, Outreach Speaker at Global #ArtificialIntelligence Virtual Conference Sep 16-18, 2020.
Speaker Bio:
Pavel Dmitriev is a Vice… | ||
| Why Transparent AI is the only AI that can be trusted | Teresa Escrig | 34m |
Argues that trust requires knowledge representation and reasoning integrated with machine learning rather than black‑box deep nets alone; compares NVIDIA’s… | ||
| Where to start with AI in your health system | Rohan Dsouza | 36m |
Summarizes a practical path: focuses on operational AI, especially revenue-cycle automation rather than experimental disease models, and recommends scoping… | ||
| Keynote Panel: AI from Investment perspective | Austin Guyette, Alok Nandan, Kellan Carter, Sanjit Dang, Sarah Fay | 56m |
Panelists compare practical investing filters: they reject generic "AI" branding and fund companies that show a clear vertical use case and a defensible data… | ||
| Keynote Panel: AI in Finance | Jay Nanduri, Steven Gustafson, Evan Schnidman, Michael Recce, Shankar Vaidyanathan | 50m |
Panel reports concrete wins and limits: NLP models driven by recent deep learning advances process 5 million documents a day for central-bank and earnings… | ||
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