Global Artificial Intelligence Conference 2024
2024-12-10..2024-12-12
-- online --
[Global Artificial Intelligence Conference 2020, Global Artificial Intelligence Conference 2024]
who it's for
machine learning engineers, data engineers, product managers (AI/ML), platform engineers, engineering managers, security architects, healthcare IT leaders
topics
generative AI agents and orchestration; retrieval-augmented generation (RAG) systems; vector embeddings and vector databases; foundation model deployment on AWS Bedrock; prompt tuning and fine-tuning practices; MLOps with Kubernetes and cloud; ELT data lakes and large-scale ingestion; enterprise password vaults and audit logging; natural language interfaces for SaaS workflows; model validation and chatbot evaluation pipelines; intelligent document processing; federated and privacy-aware healthcare ML
| title | author | length |
|---|---|---|
| Keynote Panel: Future of AI agents | Bhanu Prakash Manjappasetty Masagali, Ganapathi Pulipaka, Suresh Veeragoni, Dileep Kumar Pandiya, Yogi Sikri | 01h 01m |
Analysts predict 200 million agents in three years and panelists show concrete builds: a morning news agent that scrapes stories, summarizes and produces audio… | ||
| Business: AI as an enabler for unlocking Industry Data: Monetizing Enterprise Value | Yogi Sikri, Suresh Veeragoni, Shyam Kumar | 46m |
Claims a majority of enterprise data remains unused (90%+), and AI plus modern data patterns turn that into products and savings. Example outcomes: ingesting… | ||
| Enhancing Cybersecurity with Enterprise Password Vaults (EPVs) for Financial Institutions... | Vineela Komandla | 07m |
Enterprise Password Vaults centralize credential storage and enforce strong encryption, role-based access and MFA while providing detailed audit logging that… | ||
| Accelerating innovation using tiered AI Architecture | Venkata Duvvuri | 20m |
A portable microservice ML framework called Minerva (and an open mini fork contain) serves model code across legacy and cloud SaaS suites by adding a… | ||
| Ethical Challenges and responsible use of AI in Higher Education. | Tirumala Rao Chimpiri | 32m |
Elan survey shows 2.3× adoption since 2023 and concrete campus uses: generative models power personalized lesson plans, chatbots for admissions and enrollment… | ||
| Foundation Models for Big Data and Prompt Tuning | Sujan Das | 20m |
Describes building foundation models at scale using cloud tools like AWS and Amazon Bedrock, advising parallel processing and auto‑scaling to handle… | ||
| AI’s Evolving Landscape: Opportunities Strategy Economics and Sustainable Advantage | sudhir Kadam | 38m |
Claims a $1.8T AI market by 2030 and US $235B in 2024, with 50% enterprise adoption but only 10% reporting tangible outcomes, pointing to narrow, high-impact… | ||
| Keynote Panel: Building a career in GenAI | Ritesh Vajariya, Manjeet Singh, Tirumala Rao Chimpiri, Ganesh Harinath, Sri Jagannathan | 01h 05m |
Panel explains concrete career moves and tech: a claim of one trillion-parameter training on a single chip and 2,000 tokens per second inference speed, demos… | ||
| Natural Language Interfaces for SaaS: Transforming Workflows with ConversationalAI | Siddharth | 20m |
Natural language interfaces claim to cut onboarding and setup friction dramatically — reduce setup from hours to minutes — and automate multi-step workflows… | ||
| Technical: Harvesting Trust: Methods for Validating Chatbots in | Serg Masís, Yannick-Flores | 34m |
A conversational CropWise AI agent ties foundation LLMs to three tool types—APIs, RAG retrieval, and a code-execution framework called repel—and an… | ||
| Leveraging AI/ML for Transformative Software Solutions in Healthcare | Sarbaree Mishra | 22m |
Healthcare AI projects claim faster, more accurate diagnosis and personalized treatment by combining TensorFlow, PyTorch, scikit-learn for modeling with Apache… | ||
| Migrating Legacy Financial Systems to Cloud: Challenges and Best Practices | Sandeep Chinamanagonda | 18m |
Legacy Java 6 systems at a large bank migrate over 3–4 quarters by building a data‑driven roadmap, keeping the old stack live while reimplementing services… | ||
| Modernizing Cloud-Based Infrastructure with Secure, Scalable, and Efficient Solutions | Sai | 17m |
Argues that enterprise cloud modernization delivers Terraform and AWS CloudFormation automation plus a next‑gen IaC layer that uses AI to generate full… | ||
| The Future of Work: AI's Impact on Professional Success in 2025 | Ritesh Vajariya | 35m |
Forecasts that AI-driven agentic workflows take over planning and execution, with a demo showing three agents (research, writer, editor) auto‑producing… | ||
| AI vs Physics in Portfolio Optimisation | Revant Nayar | 30m |
Backtests on 2019–2024 sector and factor ETFs (11 S&P sectors, nine Fama‑French-like factors) use a 6‑month lookback (125 trading days) and show a… | ||
| Optimizing RAG Systems in Practice: Challenges and Proven Solutions | Naresh Dulam | 27m |
RAG pipeline diagnosis maps failures to concrete fixes: implement agentic RAG with web search tool that makes function calls to fetch missing facts, compare… | ||
| Cutting through the hype. How enterprises can apply a strategic lens to leveraging AI to achieve ... | Mark Breslin | 21m |
Built a group AI operating model that pairs LLMs and RAG retrieval with clear data provenance, governance and guardrails, focusing pilots on measurable ROI… | ||
| Transforming Internal Developer Platforms with AI: Accelerating Innovation | Malith Jayasinghe | 28m |
Claims that embedding AI into an internal developer platform cuts cognitive load by automating design, code generation, testing and runtime ops, with a cited… | ||
| AI-Driven Operational Data Intelligence | Kishore Reddy Gade | 30m |
A RAG-based operational intelligence system is built that combines langchain with vector search (ElasticSearch, MongoDB Atlas Vector search, PostgreSQL… | ||
| Optimizing Machine Learning (ML Ops) in Financial Services with Kubernetes and Cloud Technologies. | Jayaram Immaneni | 10m |
Bank moves 450 VMs → Kubernetes and rebuilds ML pipelines with Docker, Terraform, CI/CD and public clouds (AWS/Azure) to cut maintenance and operational toil… | ||
| Why Intelligent Document Processing is AI’s Sweet Spot | Jay Mishra | 20m |
Argues that combining generative AI generates extraction rules with traditional rule-based extraction yields reliable IDP: GenAI writes the extraction rules… | ||
| How to Set the AI Innovation Speed Limit | James Brusseau | 28m |
Argues that companies can fix AI risks by building more AI rather than pausing: Telus deploys a customer‑service agent on a foundational model (ChatGPT‑style)… | ||
| Integrating AI-Driven Analytics for Enhanced Enterprise Decision-Making | Hitesh Allam | 29m |
Describes integrating AI into telecom and enterprise workflows using Python, IoT sensors and big‑data pipelines to enable demand forecasting, predictive… | ||
| Advanced Data Warehouse Management and Optimization Strategies with Teradata. | GURUPRASAD | 30m |
Lists 15 management items (ETL optimization, partitioning, compression, data governance, virtualization) and 11 tuning techniques (explain plans… | ||
| Generative AI for Fan Engagement, a multi-billion-dollar industry | Ganesh Harinath | 25m |
A live system demonstrates an AI agent, an AI-powered camera that recognizes race cars and players, and an AR helmet try-on all built on Fiducia | AI’s… | ||
| Artificial Intelligence is not a magic bullet: Leadership needs to invest to see results and value. | Satyam Priyadarshy | 33m |
Claims that AI solves problems in minutes are misleading; real work requires leadership investment in three things: infrastructure, talent and clear business… | ||
| GPT Paper-Reader | Ganapathi Pulipaka | 27m |
A working Gradio app chunks PDFs into sections, embeds them into a vector store, and feeds context-limited chunks to an LLM to produce per-chunk summaries and… | ||
| AI-Driven Sales Technology: Transforming Customer Engagement and Revenue Growth | Dileep | 17m |
Built an AI co-pilot at ZoomInfo that scans B2B profiles and surfaces top-fit leads, cutting lead research that used to consume ~80% of rep time and… | ||
| Generative AI vs Adaptive AI - Applications and Algorithms | Chanchal Chatterjee | 25m |
Book and GitHub back up a claim of practical adaptive AI with 16,000 downloads and concrete code; contrasts generative models trained on massive batches with… | ||
| Leveraging AWS and Kubernetes for Scalable AI/ML Workloads in the Cloud | Babulal Shaik | 12m |
Shows a working workflow that deploys infra with CloudFormation, uploads data to S3 which triggers a Lambda to start a SageMaker pipeline that writes features… | ||
| GenAI agents - Evolution of automation | Arunansu Pattanayak | 20m |
Claim: 75% of CEOs say advanced generative AI yields a competitive edge. Describes concrete Microsoft stack: Copilot Studio for low‑code with 1,400 connectors… | ||
| Medication Management with AI in a Hospital Pharmacy | Arlene Johnstone | 16m |
Hospital pharmacy runs 3,000 medication SKUs with about $3 million on hand and 250,000 units moving between 50+ locations, using transaction logs from… | ||
| How AI & Blockchain are revolutionizing the Health and Wellness sector | Anurag Yadav | 20m |
Claims that combining AI and blockchain produces privacy-preserving personalization by pairing on-device and centralized models with a blockchain access layer… | ||
| Keynote Panel: Gen AI: Opportunites & risks | Arunansu Pattanayak, Arlene Johnstone, Uday Kanike, Anindita Mahapatra | 31m |
Panelists compare real deployments and real gaps they see today: a hospital pharmacy using smarter inventory management and two in‑use AI algorithms to predict… | ||
| Balancing Innovation and Responsibility : Anindita Mahapatra | Anindita Mahapatra | 27m |
Enterprise blueprint for GenAI that pairs platform-level governance with real-time moderation, using Databricks Lakehouse and Unity Catalog to govern data… | ||
| Effective Integration and Responsible Use of AI Platforms Into Day-to-Day Analytics EffortsGenentech | Alice Chung | 23m |
Claims that average ROI from AI deployments takes about two to two and a half years and that trust varies by country (US ~40%, India highest, China second)… | ||
| Scaling GenAI Applications and Agentic AI for Business Competitive Differentiation | Ali Arsanjani | 23m |
Ten concrete practices for production GenAI are listed (identify high‑impact use cases, solid data foundation, ethics, continuous improvement) and a maturity… | ||
| Streamlining Data Migration and ETL Processes in Banking with Automation and BI Tools | Abhilash Katari | 15m |
Describes an implemented ETL and migration pipeline that replaces manual bank processes with automated workflows using Informatica, AWS Glue, Airflow and… | ||
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