AI Summit 2021

An online event to expand your horizons and unleash the full potential of data

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Simple, productive, performance-driven AI solutions to help grow your business

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.

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Intel AI Summit 2021
Simplicity

SIMPLICITY

Discover how to turn data into insights wherever it’s created or consumed across your enterprise.

Productivity

PRODUCTIVITY

Act on new market and monetisation opportunities fast with the ability to reprogram Intel AI technologies.

Performance

PERFORMANCE

Plan and build for scale today with an AI platform designed to grow with the business in the future.

Over 20 industry expert speakers

Hear from Intel leaders and a diverse group of industry experts on what Intel AI can do to help expand your horizons.

Dr Nash Palaniswamy

Dr Nash Palaniswamy

Vice President, SMG, General Manager, AI, HPC and Datacenter Accelerators Solutions and Sales at Intel Corporation

Hong Wei Yi

Hong Wei Yi

Asia AI Sales Director, DCG Sales Group at Intel Corporation

Pradeep Dubey

Pradeep Dubey

Senior Fellow & Director of Parallel Computing Lab at Intel Corporation




More than 25 innovative sessions

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.



Executive keynotes
10+ Breakout Sessions
2 Fireside Chats
7 Demo Showcases
Live Q&A - ask an expert live
Earn badges & win prizes
Push to start

Day 1

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.

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  • Session
    Speaker
  • Opening remarks
    Santhosh Viswanathan, Intel
  • Keynote - Intel Innovation Unleashed
    Dr Nash Palaniswamy, Intel

    Intel Innovation Unleashed

    Dr Nash Palaniswamy, Intel

    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.

  • Fireside Chat 1 - Built to scale: Turning AI into ROI
    Ayu Ginanti, Intel
    Erwin Huizenga, GCP
    Tahir Hashmi, Tokopedia

    Built to scale: Turning AI into ROI

    Ayu Ginanti, Intel
    Erwin Huizenga, GCP
    Tahir Hashmi, Tokopedia

    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.

  • Fireside Chat 2 - Building an AI-first organization
    Christopher Sassone, Intel
    Simon Peter Johnston, AWS
    Nicholas Therkelsen-Terry, Max Kelsen

    Building an AI-first organization

    Christopher Sassone, Intel
    Simon Johnson & Chris Howard, AWS
    Nicholas Therkelsen-Terry, Max Kelsen

    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.

  • Break
  • Breakout 1 - AI on IA Practice Sharing
    Hong Wei Yi, Intel

    AI on IA Practice Sharing

    Hong Wei Yi, Intel

    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.

  • Breakout 2 - Accelerating the IoT Journey With AI Building Blocks
    Joy Chua, meldCX

    Accelerating the IoT Journey With AI Building Blocks

    Joy Chua, meldCX

    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.

  • Breakout 3 - AI for Healthcare: practical considerations and challenges
    Mengling ‘Mornin’ Feng (PhD)

    AI for Healthcare: practical considerations and challenges

    Mengling ‘Mornin’ Feng (PhD)

    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.

  • Breakout 4 - Enhancing Customer Experience Leveraging AI
    Ipseeta Aruni,
    Carlos Timoteo, Searce

    Enhancing Customer Experience Leveraging AI

    Ipseeta Aruni,
    Carlos Timoteo, Searce

    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.

  • Day 1 Wrap-up
    Swee Hoon Chan, Intel

DEMO SHOWCASE

  • Topic
    Speaker & Partner
  • ML Optimization on Databricks
    Haifeng Chen, Databricks & Intel

    ML Optimization on Databricks

    Haifeng Chen, Databricks & Intel

    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.

  • Accelerating Business Outcome Through AI and MLOps
    Alfie Farhana Mohamed, HPE

    Accelerating Business Outcome Through AI and MLOps

    Alfie Farhana Mohamed, HPE

    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.

  • Secure AI object detection with Intel SGX and 3rd Gen. Xeon processors
    Prabhanjan Gururaj, Fortanix

    Secure AI object detection with Intel SGX and 3rd Gen. Xeon processors

    Prabhanjan Gururaj, Fortanix

    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.

  • How Cloud Migrations Are Being Driven by ML Using LAB3's Dr Migrate
    Jaydin Nathan,
    Andy Lyons, LAB3

    How Cloud Migrations Are Being Driven by ML Using LAB3's Dr Migrate

    Jaydin Nathan,
    Andy Lyons, LAB3

    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.

  • Integration of Tensorflow with OpenVino
    Zi Ying Li, Intel

    Integration of Tensorflow with OpenVino

    Zi Ying Li, Intel

    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.

  • Dynamic Quantization with Intel® Neural Compressor
    Sheik Mohamed Imran, Intel

    Dynamic Quantization with Intel® Neural Compressor

    Sheik Mohamed Imran, Intel

    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.

  • ChestRAI Inference optimization using oneAPI AI Analytics Toolkit and OpenVINO Toolkit
    Arangarajan Palaniappan, LTTS

    ChestRAI Inference optimization using oneAPI AI Analytics Toolkit and OpenVINO Toolkit

    Arangarajan Palaniappan, LTTS

    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.

  • Combining High Performance Computing & AI to Solve Humanity’s Greatest Challenges
    Ananda Bhattacharjee,
    Lenovo Global Technology

    Combining High Performance Computing & AI to Solve Humanity’s Greatest Challenges

    Ananda Bhattacharjee, Lenovo Global Technology

    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.

  • Omnia, a Platform for the Confluence of Modelling and Machine Learning
    Andrew Underwood,
    Dell Technologies

    Omnia, a Platform for the Confluence of Modelling and Machine Learning

    Andrew Underwood, Dell Technologies

    Synopsis: Build and manage complex HPC, AI and data analytics environment, and run them anywhere with Dell EMC Omnia.

Build faster, smarter & accelerate

Day 2

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.

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  • Session
    Speaker
  • Intel Opening Video
  • Welcome Day 2
    Sumner Lemon, Intel
  • Keynote - Clearing the Path Forward in AI
    Pradeep K. Dubey , Intel

    Clearing the Path Forward in AI

    Pradeep K. Dubey, Intel

    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.

  • Breakout 1 - Scaling Localization with Artificial Intelligence and Automation
    Spence Green, Lilt

    Scaling Localization with Artificial Intelligence and Automation

    Spence Green, Lilt

    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.

  • Breakout 2 - AI in Education – Students Working with AI to Solve Complex Problems
    Maarten Delaat, University of South Australia

    AI in Education – Students Working with AI to Solve Complex Problems

    Maarten Delaat, University of South Australia

    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.

  • Break
  • Breakout 3: Intel Architecture for AI and Federated Learning
    Ayush Batra, Intel

    Breakout 3: Intel Architecture for AI and Federated Learning

    Ayush Batra, Intel

    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.

  • Breakout 4 - Edge-to-Cloud AI Reference Architecture
    Aaron Zang, Intel

    Edge-to-Cloud AI Reference Architecture

    Aaron Zang, Intel

    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.

  • Breakout 5 - Train More Deep Learning Models for Less with Habana Gaudi AI Training Processors
    Eitan Medina, Habana Labs, an Intel Corporation company

    Train More Deep Learning Models for Less with Habana Gaudi AI Training Processors

    Eitan Medina, Habana Labs, an Intel Corporation company

    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.

  • Breakout 6 - Boosting AI Workload Performance with Intel® oneAPI AI Analytics Toolkit
    Jing Xu, Intel

    Boosting AI Workload Performance with Intel® oneAPI AI Analytics Toolkit

    Jing Xu, Intel

    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.

  • AI Summit Wrap-up
    Hong Wei Yi, Intel

DEMO SHOWCASE

  • Topic
    Speaker & Partner
  • ML Optimization on Databricks
    Haifeng Chen, Databricks & Intel

    ML Optimization on Databricks

    Haifeng Chen, Databricks & Intel

    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.

  • Accelerating Business Outcome Through AI and MLOps
    Alfie Farhana Mohamed, HPE

    Accelerating Business Outcome Through AI and MLOps

    Alfie Farhana Mohamed, HPE

    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.

  • Secure AI object detection with Intel SGX and 3rd Gen. Xeon processors
    Prabhanjan Gururaj, Fortanix

    Secure AI object detection with Intel SGX and 3rd Gen. Xeon processors

    Prabhanjan Gururaj, Fortanix

    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.

  • How Cloud Migrations Are Being Driven by ML Using LAB3's Dr Migrate
    Jaydin Nathan,
    Andy Lyons, LAB3

    How Cloud Migrations Are Being Driven by ML Using LAB3's Dr Migrate

    Jaydin Nathan,
    Andy Lyons, LAB3

    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.

  • Integration of Tensorflow with OpenVino
    Zi Ying Li, Intel

    Integration of Tensorflow with OpenVino

    Zi Ying Li, Intel

    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.

  • Dynamic Quantization with Intel® Neural Compressor
    Sheik Mohamed Imran, Intel

    Dynamic Quantization with Intel® Neural Compressor

    Sheik Mohamed Imran, Intel

    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.

  • ChestRAI Inference optimization using oneAPI AI Analytics Toolkit and OpenVINO Toolkit
    Arangarajan Palaniappan, LTTS

    ChestRAI Inference optimization using oneAPI AI Analytics Toolkit and OpenVINO Toolkit

    Arangarajan Palaniappan, LTTS

    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.

  • Combining High Performance Computing & AI to Solve Humanity’s Greatest Challenges
    Ananda Bhattacharjee,
    Lenovo Global Technology

    Combining High Performance Computing & AI to Solve Humanity’s Greatest Challenges

    Ananda Bhattacharjee, Lenovo Global Technology

    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.

  • Omnia, a Platform for the Confluence of Modelling and Machine Learning
    Andrew Underwood,
    Dell Technologies

    Omnia, a Platform for the Confluence of Modelling and Machine Learning

    Andrew Underwood, Dell Technologies

    Synopsis: Build and manage complex HPC, AI and data analytics environment, and run them anywhere with Dell EMC Omnia.

Our speakers

Be inspired by a diverse group of industry experts and partners, sharing how Intel® AI can help take your business to new heights.

Aaron Zang

Aaron Zang

Senior Software Engineer
Intel Corporation

Alfie Farhana Mohamed

Alfie Farhana Mohamed

Presales Engineer
Hewlett Packard Enterprise

Arangarajan Palaniappan

Arangarajan Palaniappan

Project Manager (AI/ML)
L&T Technology Services

Ayu Ginanti

Ayu Ginanti

APJ-T Cloud Lead
Intel Corporation

Ayush Batra

Ayush Batra

Technical Presales Lead, APJ Territory
Intel Corporation

Carlos Timoteo

Carlos Timoteo

Senior Data Scientist
Searce Inc.

Christopher Sassone

Christopher Sassone

Country Sales Director, Australia & New Zealand
Intel Corporation

Eitan Medina

Eitan Medina

Chief Business Officer
Habana Labs, an Intel Corporation company

Hong Wei Yi

Hong Wei Yi

Asia AI Sales Director, DCG Sales Group
Intel Corporation

Haifeng Chen

Haifeng Chen

Software Engineering Manager
Intel Corporation

Ipseeta Aruni

Ipseeta Aruni

Director - Applied AI Business Unit
Searce Inc.

Jing Xu

Jing Xu

Technical Consulting Engineer
Intel Corporation

Joy Chua

Joy Chua

EVP, Strategy & Development
meldCX

Maarten de Laat

Maarten de Laat

Associate Professor: Centre for Change & Complexity in Learning
University of South Australia

Mengling ‘Mornin’ Feng (PhD)

Mengling ‘Mornin’ Feng (PhD)

Assistant Director of Research (Healthcare)

Dr Nash Palaniswamy

Dr Nash Palaniswamy

Vice President, SMG, General Manager, AI, HPC and Datacenter Accelerators Solutions and Sales
Intel Corporation

Prabhanjan Gururaj

Prabhanjan Gururaj

Senior Solutions Engineer
Fortanix

Pradeep K. Dubey

Pradeep K. Dubey

Senior Fellow & Director of Parallel Computing Lab
Intel Corporation

Santhosh Viswanathan

Santhosh Viswanathan

Vice President & Managing Director, APJ Territory
Intel Corporation

Sheik Mohamed Imran

Sheik Mohamed Imran

AI - Technical Specialist
Intel Corporation

Spence Green

Spence Green

Chief Executive Officer
Lilt Inc.

Sumner Lemon

Sumner Lemon

Regional Director, Digital Transformation and Enterprise Sales, APJ Territory
Intel Corporation

Tahir Hashmi

Tahir Hashmi

Technical Fellow and VP of Growth Engineering
Tokopedia

Swee Hoon Chan

Swee Hoon Chan

Sales Director at Intel Corporation, Sales & Marketing Group
Intel Corporation

Li Zi Ying

Li Zi Ying

Technical Sales – AI Specialist
Intel Corporation

Simon Peter Johnston

Simon Peter Johnston

AI Business Development Lead,
Australia & New Zealand (ANZ)
Amazon Web Services

Nicholas Therkelsen-Terry

Nicholas Therkelsen-Terry

Chief Executive Officer
Max Kelsen

Erwin Huizenga

Erwin Huizenga

APAC Solution Lead Machine Learning
Google Cloud APAC

Andy Lyons

Andy Lyons

Chief Technology Officer
LAB3

Jaydin Nathan

Jaydin Nathan

Principal Data Scientist
LAB3

Andrew Underwood

Andrew Underwood

Dell APJ CTO
Dell Technologies

Ananda Bhattacharjee

Ananda Bhattacharjee

Business Development & Solution Architect – HPC and AI
Lenovo Global Technology Ltd

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Thank you to our participating partners & customers

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Databricks
Fortanix
Google Cloud
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LILT
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L&T Technology Services
Meld CX
Searce
Tokopedia
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