An online event to expand your horizons and unleash the full potential of data
At this year’s AI Summit, we bring the top Intel leaders and industry expertise side by side. Using real-world case studies of Intel AI in action and latest trends, our keynote speakers will take you through the Intel AI strategy, complete with solutions offerings to prepare you for a rapidly changing world.
We are setting a course for a new era of innovation and product leadership by making AI more attainable than ever before. Our One Intel AI approach helps you flex into the future, so you can continue your journey of making wonderful happen, wherever computing takes place.
SIMPLICITY
Discover how to turn data into insights wherever it’s created or consumed across your enterprise.
PRODUCTIVITY
Act on new market and monetisation opportunities fast with the ability to reprogram Intel AI technologies.
PERFORMANCE
Plan and build for scale today with an AI platform designed to grow with the business in the future.
Hear from Intel leaders and a diverse group of industry experts on what Intel AI can do to help expand your horizons.
Vice President, SMG, General Manager, AI, HPC and Datacenter Accelerators Solutions and Sales at Intel Corporation
Asia AI Sales Director, DCG Sales Group at Intel Corporation
Senior Fellow & Director of Parallel Computing Lab at Intel Corporation
This year’s AI Summit is an online event covering key AI themes and solutions, and your opportunity to interact with industry experts and professionals, bringing your AI ambitions closer to reality.
On Day 1 of the AI Summit 2021, we will explore the importance of AI in growing your business. You will hear from, among others, executive keynote Dr. Nash Palaniswamy, who will take you through the Intel AI strategy, complete with solutions offerings, while Hong Wei Yi will share real-world applications of AI in companies across Asia - from product ideation to deployment.
Hear from keynote speakers, participate in live Q&As and watch Demo Showcases to learn how Intel AI is the fastest path to scale your business in a rapidly changing world.
Synopsis: This session will provide an overview of Intel’s AI strategy and the latest Intel AI solution offering. It will cover hardware platforms, software tools, and ecosystems to give the full picture, from Cloud to edge, for AI deployment with Intel.
Synopsis: Many leaders struggle to bridge the connection between AI and ROI and quickly manage AI projects from proof of value to production. Partnering with Tokopedia as the biggest startup e-commerce in Indonesia, this session will explore how collaboration with Intel & Google Cloud Platform (GCP) can bridge the gap between a lab demo and moving into a production environment, using real-world examples that demonstrate rapid business value and ROI. Find out how to measure the success of AI projects and how to overcome funding, skills, and data challenges to achieve positive outcomes.
Synopsis: Bringing Max Kelsen as an analytics and software engineering agency specializing in machine learning and artificial intelligence, this session will explore strategies for identifying projects that can be good use cases for AI, with a focus on the importance of a sound implementation strategy. Together with AWS, this session will look at some of the pitfalls to avoid when bringing a model to scale, including the need for training models on sound data and supporting them to scale in the long term also what AI means for the business at a C level.
Synopsis: This session will share real customer cases that use the IA platform to implement AI on drug discovery, NLP, and recommendation applications. From these sessions, you will learn how Intel platforms and software tools help customers realise easier deployment, better performance and better TCO.
Synopsis: Businesses around the world have realised the benefits of AI, but not many have the tools and knowledge to implement such complex solutions, and AaGartner study reveals that 85% of AI projects won’t deliver. In this interactive session, meldCX will share their journey from product ideation to deployment for customers like Australia Post and Westpac. Discover how meldCX built Edge AI solutions on Intel technology, the challenges they faced, and how they overcame them.
Synopsis: Recent advances in AI learning algorithms have allowed successful deployments of AI solutions in finance, security, manufacturing, and logistics, but there haven’t been as many success stories for healthcare. This session will investigate the challenges of developing and deploying AI solutions for healthcare and explore how healthcare data, the healthcare system, and the clinical thinking cycle can determine design and implementation plans.
Synopsis: Customer experience in the post-Covid era is driven by intelligent bots, omnichannel engagement, priority services, and a suite of machine learning models that automate processes and remove pain points behind-the-scenes. This presentation will explore what it’s like to work with large enterprises to digitise customer journeys over multi-year transformations and the role of AI in engagement across customer segments, geographies, product portfolios.
Synopsis: Databricks Runtime for Machine Learning is an integrated end-to-end environment incorporating managed services for model training, experiment tracking, feature development, and model serving. It includes the ML/DL libraries such as scikit-learn and TensorFlow. This presentation will show that replacing the stock scikit-learn and TensorFlow included in Databricks Runtime for Machine Learning with the optimised versions can improve performance and reduce costs.
Synopsis: Data is the fuel of enterprise transformation but staging and applying data to decision-making is a complex task. This session will showcase how HPE Ezmeral can unify data sets globally from edge to cloud, deploy Kubernetes at scale with integrated persistent data storage, and bring DevOps agility to the entire machine learning lifecycle to turn data into insights and actions faster. It will also present AI industry use cases showcasing town planning and quality assurance.
Synopsis: As the complexity of AI/ML models increases, the ability to detect objects in these models become even more sophisticated, raising privacy questions. This session will demonstrate how Fortanix and Intel are leveraging SGX technology to detect objects in AI/ML datasets in secure enclaves. Fortanix will showcase real-world examples, including its work with real and synthetically generated satellite imagery to automatically detect aircraft and their attributes.
Synopsis: Cloud Migrations provide an incredibly rich dataset with a great mixture of quantitative, qualitative, and telemetry data. This session will show how LAB3 fuses Dr Migrate, their purpose-built migration data model, with state-of-the-art data science techniques to automatically discover an organisation’s on-premise digital estate. Dr Migrate’s AI is able to provide deep insights, visualisation, and contextual plans to help organisations plan a rapid migration to the cloud.
Synopsis: TensorFlow developers can now take advantage of OpenVINO™ toolkit optimisations with TensorFlow inference applications across a wide range of Intel® compute devices. This session will demonstrate how seamless it is to get started with the OpenVINO™ integration with TensorFlow.
Synopsis: This session we introduce the features of Intel Neural Compression and showcase a hand-on demonstration of optimising pre-trained models from HuggingFace library using Intel Neural Compression on the latest generation of Xeon processors.
Synopsis: ChestRAI is an AI-based software solution developed to identify 10 prominent lung symptoms using chest x-rays and generate report for identified symptoms. It analyses the chest x-ray and produces AI-based findings and impressions as well as respective localisation of tags. This demo will showcase the performance improvements obtained on third generation Intel Xeon Scalable CPUs using Intel’s oneAPI toolkits.
Synopsis: The talk illustrates how Lenovo’s revolutionary Bioinformatics-optimized architecture, an Intel Select Solution, is driving new hope for scientists and ccians with unprecedented performance and efficiency.
Synopsis: Build and manage complex HPC, AI and data analytics environment, and run them anywhere with Dell EMC Omnia.
Further expand your AI understanding with Intel products to grow your business. From breakout sessions with Aaron Zang who will introduce an edge to cloud (E2E) reference design for intelligent manufacturing based on Intel architecture, to Jing Xu discussing the features of the Intel® oneAPI AI Analytics Toolkit, and so much more.
Learn how Intel provides both the technology and a knowledge network to help businesses unlock AI’s full potential.
Synopsis: The impact of AI is growing by leaps and bounds, yet data practitioners continue to be held back by a common set of challenges. In this session, Intel Labs’ senior fellow Pradeep Dubey and special guests will share how Intel technology, software, and innovations help to clear the path forward in AI by making it more scalable, productive, performant, and intelligent.
Synopsis: AI and automation are redefining how businesses operate and shaping a new future of work. But instead of replacing human labour, AI and automation augment the power of human ingenuity and amplify human productivity in translation. This session will explore how companies can scale their localisation programs, doing more with less, driving higher ROI, and reducing operational complexity by using the latest advances in AI and automation.
Synopsis: Our future society will be dominated by AI, advanced technology, and automation, and our next generation of citizens and workforce needs to be AI savvy. This session will showcase a solution for bringing AI into the classroom and demonstrate a research initiative where students work together with AI to solve complex problems. The aim of this initiative is to have our kids experience AI, learn how to develop AI, and engage in ethical discussions about AI.
Synopsis: Where customers need AI, Intel is there to provide optimised products and software that are prepared to feed industry demand for scalability and privacy. This is how Intel is making AI more attainable than ever before. This session will share how Intel is taking big steps by giving everyone the flexibility to infuse artificial intelligence into every app—from edge to cloud—everywhere there is a Xeon processor.
Synopsis: This session will introduce an e2e edge to cloud reference design for intelligent manufacturing based on Intel architecture. It integrates Intel CVAT, EII and Analytics Zoo products and develops training, inference, and management services to cover the whole model life cycle, while demonstrating two main AI vision application scenarios for defect detection and safety monitoring. This design accelerates AI landing in manufacturing process of using Intel product.
Synopsis: This session will show how end-users can take advantage of the price performance efficiencies enabled with Habana Gaudi AI processors in cloud and datacentre implementations. Data scientists and developers will benefit from the detailing of how Gaudi hardware and software architectures enable high-efficiency training, and learn how to build new models and migrate existing GPU-based architecture to Gaudi-based models.
Synopsis: This session introduces the Intel® oneAPI AI Analytics Toolkit, which leverages Intel-optimised frameworks to yield high performance for training and inference. It increases machine-learning model accuracy and performance with Intel-optimised algorithms in scikit-learn and XGBoost and seamlessly scales and accelerate pandas workflows to multicores and multi-nodes with only one line of code change using the Intel® Distribution of Modin.
Synopsis: Databricks Runtime for Machine Learning is an integrated end-to-end environment incorporating managed services for model training, experiment tracking, feature development, and model serving. It includes the ML/DL libraries such as scikit-learn and TensorFlow. This presentation will show that replacing the stock scikit-learn and TensorFlow included in Databricks Runtime for Machine Learning with the optimised versions can improve performance and reduce costs.
Synopsis: Data is the fuel of enterprise transformation but staging and applying data to decision-making is a complex task. This session will showcase how HPE Ezmeral can unify data sets globally from edge to cloud, deploy Kubernetes at scale with integrated persistent data storage, and bring DevOps agility to the entire machine learning lifecycle to turn data into insights and actions faster. It will also present AI industry use cases showcasing town planning and quality assurance.
Synopsis: As the complexity of AI/ML models increases, the ability to detect objects in these models become even more sophisticated, raising privacy questions. This session will demonstrate how Fortanix and Intel are leveraging SGX technology to detect objects in AI/ML datasets in secure enclaves. Fortanix will showcase real-world examples, including its work with real and synthetically generated satellite imagery to automatically detect aircraft and their attributes.
Synopsis: Cloud Migrations provide an incredibly rich dataset with a great mixture of quantitative, qualitative, and telemetry data. This session will show how LAB3 fuses Dr Migrate, their purpose-built migration data model, with state-of-the-art data science techniques to automatically discover an organisation’s on-premise digital estate. Dr Migrate’s AI is able to provide deep insights, visualisation, and contextual plans to help organisations plan a rapid migration to the cloud.
Synopsis: TensorFlow developers can now take advantage of OpenVINO™ toolkit optimisations with TensorFlow inference applications across a wide range of Intel® compute devices. This session will demonstrate how seamless it is to get started with the OpenVINO™ integration with TensorFlow.
Synopsis: This session we introduce the features of Intel Neural Compression and showcase a hand-on demonstration of optimising pre-trained models from HuggingFace library using Intel Neural Compression on the latest generation of Xeon processors.
Synopsis: ChestRAI is an AI-based software solution developed to identify 10 prominent lung symptoms using chest x-rays and generate report for identified symptoms. It analyses the chest x-ray and produces AI-based findings and impressions as well as respective localisation of tags. This demo will showcase the performance improvements obtained on third generation Intel Xeon Scalable CPUs using Intel’s oneAPI toolkits.
Synopsis: The talk illustrates how Lenovo’s revolutionary Bioinformatics-optimized architecture, an Intel Select Solution, is driving new hope for scientists and ccians with unprecedented performance and efficiency.
Synopsis: Build and manage complex HPC, AI and data analytics environment, and run them anywhere with Dell EMC Omnia.
Be inspired by a diverse group of industry experts and partners, sharing how Intel® AI can help take your business to new heights.
Senior Software Engineer
Intel Corporation
Presales Engineer
Hewlett Packard Enterprise
Project Manager (AI/ML)
L&T Technology Services
APJ-T Cloud Lead
Intel Corporation
Technical Presales Lead, APJ Territory
Intel Corporation
Senior Data Scientist
Searce Inc.
Country Sales Director, Australia & New Zealand
Intel Corporation
Chief Business Officer
Habana Labs, an Intel Corporation company
Asia AI Sales Director, DCG Sales Group
Intel Corporation
Software Engineering Manager
Intel Corporation
Director - Applied AI Business Unit
Searce Inc.
Technical Consulting Engineer
Intel Corporation
EVP, Strategy & Development
meldCX
Associate Professor: Centre for Change & Complexity in Learning
University of South Australia
Assistant Director of Research (Healthcare)
Vice President, SMG, General Manager, AI, HPC and Datacenter Accelerators Solutions and Sales
Intel Corporation
Senior Solutions Engineer
Fortanix
Senior Fellow & Director of Parallel Computing Lab
Intel Corporation
Vice President & Managing Director, APJ Territory
Intel Corporation
AI - Technical Specialist
Intel Corporation
Chief Executive Officer
Lilt Inc.
Regional Director, Digital Transformation and Enterprise Sales, APJ Territory
Intel Corporation
Technical Fellow and VP of Growth Engineering
Tokopedia
Sales Director at Intel Corporation, Sales & Marketing Group
Intel Corporation
Technical Sales – AI Specialist
Intel Corporation
AI Business Development Lead,
Australia & New Zealand (ANZ)
Amazon Web Services
Chief Executive Officer
Max Kelsen
APAC Solution Lead Machine Learning
Google Cloud APAC
Chief Technology Officer
LAB3
Principal Data Scientist
LAB3
Dell APJ CTO
Dell Technologies
Business Development & Solution Architect – HPC and AI
Lenovo Global Technology Ltd
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