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Agenda

Tuesday, 31 October 2023 - Thursday, 2 November 2023

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All sessions Main Forum International Technology Solution

31 Oct

Opening Ceremony & Keynote Session

31 Oct 09:30

The Apsara Conference 2023 will continue to adhere to the gathering of technology platforms and the sharing and construction of ecological resources. The conference will explore the development direction of cloud computing technology, exchange experiences of cloud-based innovation, and collectively explore and share the value created by cloud computing in the era of intelligence.

31 Oct 09:30

Main Hall

Tech Forum

31 Oct 13:30

In the era of intelligence, what kind of computing power do we need? Which development paradigm should we choose? How will data processing methods evolve? How can we enable everyone to have the capability to nurture or apply innovative AI technologies? The Apsara Conference 2023 Tech Forum will respond to everyone's curiosity about cloud computing in the era of intelligence. It will bring new moments of progress for cloud products and technologies.

31 Oct 13:30

Main Hall

Digital Innovation on the Cloud, Embracing Opportunities in China

31 Oct 13:30

Digital transformation is a key strategy for MNC enterprises. Alibaba Cloud is committed to being the best partner for infrastructure and multinational companies in the digital economy era by deepening customer service and helping enterprises succeed. This session focuses on the development and innovation of multinational companies in China. It explores in-depth discussions on security compliance, consumer innovation experience, and digital innovation in diversified industries. Additionally, it discusses the leapfrog transformation brought by cloud technology and the sustainable development of intelligent innovation.

31 Oct 13:30

D2-4

Technology Brands' Responsibility and Commitment in ESG: The Alibaba Cloud ESG Practice Sharing Session

31 Oct 15:10

The Alibaba Cloud ESG Session aims to explore Alibaba Cloud's responsibility and commitment in the ESG field and share Alibaba Cloud's global practice experience in ESG. The event will invite global leaders, experts, and media representatives from the technology industry to discuss the role and responsibility of technology brands in the ESG field and communicate Alibaba Cloud's best practices in ESG.

31 Oct 15:10

D4-4

Cloud-Native Messaging Services and Real-time Data Streaming by Alibaba Cloud Kafka and Confluent

31 Oct 17:50

Alibaba Cloud Kafka and Confluent are joining forces to build a comprehensive streaming data product. This will provide more powerful and efficient data processing capabilities for Alibaba Cloud's messaging products on top of a low-cost data channel, enhance the competitiveness of Alibaba Cloud's messaging products in the big data field, and provide a complete data processing solution in the big data field. It will also provide more choices and integration flexibility for Alibaba Cloud's global customers to meet real-time data processing needs and significantly improve business efficiency.

31 Oct 17:50

D3-9

Best Practices for Cloud Networking Solutions

31 Oct 15:50

After more than ten years of technological accumulation and shared growth experiences with customers, Alibaba Cloud has developed some valuable solutions for scenarios such as network deployment for Chinese companies going global, cloud network construction in the financial industry, multinational corporation cloud network, and global network optimization in the gaming industry. We look forward to sharing these experiences with everyone.

31 Oct 15:50

D4-7

AI and Computational Power Driving Smart Manufacturing

31 Oct 13:30

Alibaba Cloud offers a smart factory construction platform for manufacturing industry customers and ecosystem partners. This platform facilitates multi-modal data processing, industrial engine invocation, and cloud-edge architecture coordination. Utilizing large language models and knowledge graph technologies, it achieves industrial knowledge construction and service capability enhancement, aiding in the sedimentation and application of manufacturing industry data assets and specialized knowledge. Best Practices: Sunwoda and ChangXin Memory Technologies

31 Oct 13:30

D2-6

Financial Cloud Security Setup and Operations

31 Oct 14:10

The Bank of Communications Credit Card division has embraced a distributed, unitized deployment strategy, establishing a routine dual data center active-active operation setup. It employs a minute-level traffic distribution system between the two data centers, based on specified percentages, and executes unitized releases, canary releases, and blue-green releases. With an all-encompassing monitoring framework for both operational and release states, alongside service downgrading, circuit breaking, and rate limiting strategies, it has navigated towards enhancing operational efficiency in a cloud-native environment.

31 Oct 14:10

A1-2

Cloud Storage Supports Innovations in AI Scenarios and Acts as Driving Force of Digital Innovation

31 Oct 13:30

The integration of AI and big data is the trend. This session introduces how cloud storage supports innovation and practices in AI scenarios. We will also unveil a brand new storage service that helps enterprises achieve efficient digital innovation.

31 Oct 13:30

D3-1

Accelerating Intelligence: The Evolution of PAI

31 Oct 13:30

The technology of large language models is advancing rapidly, with its integration into various industries also accelerating. How can one maintain a competitive edge in computational services to offer high-performance, high-efficiency, and secure and stable intelligent computing for the intelligent transformation across numerous industries? This discussion digs into the product design and evolutionary path, sharing Alibaba Cloud's thoughts and practices concerning the intelligent foundational infrastructure.

31 Oct 13:30

D3-5

PAI: Best Practices for Building a Full Link LLM Service

31 Oct 14:00

Drawing on real-world LLM training scenarios, this discussion explores the collaborative optimization abilities of PAI in the realms of cluster networking, storage, and frameworks. Additionally, it sheds light on how an integrated approach to hardware and software can enhance the stability of training tasks.

31 Oct 14:00

D3-5

A Deep Dive into SLS: Innovative Service Observability and Analysis based on SLS in the Context of Cloud Native and AI Trends

31 Oct 16:10

This session shares the technical insights into service and system observability in the context of cloud native and AI trends and analyzes the importance of cloud native observability in the era of cloud native applications. Log Service (SLS) is an all-in-one cloud native observable data analysis platform. This session introduces the product evolution, technological innovations, and considerations in terms of stability, security, performance, cost, and ease of use in the context of cloud native and AI trends.

31 Oct 16:10

D3-1

1 Nov

Charting the Next Century in Asia - Why Singapore?

1 Nov 9:00

With the rise of AI, an increasing number of enterprise-level AI applications have emerged, helping businesses integrate AI technology into their operations and achieve digital transformation and innovation. Singapore is a technology innovation hub and financial center in Southeast Asia, home to many multinational companies with a growing demand for AI. This session will explore the development trends and opportunities for enterprise-level AI applications in the Singaporean market amidst the Generative AI wave.

1 Nov 9:00

D4-5

The Fintech Wave in Indonesia

1 Nov 10:00

Indonesia is the largest economy in Southeast Asia and the fourth most populous country in the world. It has a rapidly growing digital industry, and the rapid development of financial technology has provided significant support for the country's digital transformation. This session will explore the digital opportunities in the Indonesian market and how Alibaba Cloud's Fintech solutions can contribute to the financial and related industries in Indonesia.

1 Nov 10:00

D4-5

Accelerate Digital Excellence with Alibaba Cloud Malaysia

1 Nov 11:00

Alibaba Cloud has been operating two data centers and a DDoS cloud scrubbing center in Malaysia since entering the Malaysian market in 2017. It has also established a customer success center and the first overseas innovation center. This session will explore the opportunities in the Malaysian digital market and how Alibaba Cloud supports innovation in various fields (such as the Internet, finance, and ESG).

1 Nov 11:00

D4-5

Driving the Future: Innovation Practices in the European Automotive Industry

1 Nov 10:50

The automotive industry is undergoing remarkable transformations globally, with IT technology, autonomous driving, and ESG values playing crucial roles. This session will explore how to integrate innovation in these areas, driving the automotive industry to achieve new breakthroughs in sustainability, safety, and intelligence.

1 Nov 10:50

B3-5

Asia Acceleration: Digital Transformation for Business Success in Asian Markets

1 Nov 15:40

The Asian market holds enormous business opportunities. As the No. 1 IaaS service provider in Asia, Alibaba Cloud leverages technology and its global infrastructure to help multinational companies accelerate digital transformation and drive business innovation in the Asian market. This session will focus on Asia, exploring the opportunities and challenges multinational companies face when entering the Asian market and how to achieve sustained business growth through digital innovation.

1 Nov 15:40

D2-2

Chaos Marketing Strategy Evolution for Banks

1 Nov 13:30

This initiative is designed to guide financial institutions on their journey toward digital transformation. It highlights the importance of lean management, collaborative sharing, and innovation cultivation, all of which are stepping stones to creating a robust digital ecosystem. The focus extends to developing valuable data assets and digital infrastructure, nurturing digital talent, and evolving organizational structures and mechanisms to support this digital shift. The strategy provides a clear roadmap to achieve digital objectives, which include enhancing quality and efficiency, promoting collaboration within the ecosystem, advancing data-driven strategies, ensuring robust security and control measures, and spearheading innovation in the banking and insurance sectors.

1 Nov 13:30

B3-6

A Deep Dive into OSS: Object Storage in the Era of Data and AI

1 Nov 09:40

In the era of data and AI, high-quality data, ​computing power, and algorithms have become the new core production factors in scenarios such as big data analytics and AIGC. We will introduce the innovative features of Object Storage Service (OSS) that are developed for big data analytics and AI scenarios as well as ​the OSS capabilities that enable stability, security, high performance, and low cost. We will also discuss the trends of storage technologies in the context of AI-driven economy.

1 Nov 09:40

A2-1

Tongyi Qianwen: Prospects on Large Language Model Research and Applications

1 Nov 10:40

- Discussing the basic structure of the Tongyi Qianwen model, exploring how to leverage large-scale pre-training techniques to meet various user needs;
- Providing a detailed overview of the unique advantages large language models offer in solving real-world problems, such as creative writing, code collaboration, lifestyle recommendations, smart office solutions, multimodal understanding, and generation, among others;
- Looking ahead at the future development trends of large language models, especially the potential and pathways towards advancing artificial intelligence to Artificial General Intelligence (AGI).

1 Nov 10:40

D4-1

AnalyticDB for PostgreSQL, an Enterprise-grade Intelligent Data Warehouse Empowered by AI

1 Nov 11:00

AnalyticDB for PostgreSQL provides vector retrieval that facilitates comprehensive analysis of enterprise data. This enables quick and accurate identification of customer needs and interests. Based on this information, customized chatbots can be built to cater to specific requirements. AnalyticDB for PostgreSQL also supports large language models, allowing continuous optimization of a chatbot's responses based on each customer's historical interaction data. This enhances the intelligence level of the chatbot and improves service experience. Compared to other chatbots, the chatbots customized by using AnalyticDB for PostgreSQL can better meet the needs of enterprises, provide more personalized services, and improve customer satisfaction and loyalty. AnalyticDB for PostgreSQL can monitor the performance of chatbots in real time and make adjustments based on customer feedback to ensure the quality and efficiency of chatbots services.
This session introduces the enterprise data brain capabilities of AnalyticDB for PostgreSQL. Customers from Dewu will share their best practices for using large language models and vector databases to build an enterprise AI platform in the retail industry.

1 Nov 11:00

D4-4

Meinian Onehealth Rapidly Expands Business by Using Cloud Native Container Service

1 Nov 11:20

Cloud native services provided by Alibaba Cloud have supported the technical platform construction of multiple business lines for Xiaopeng Motors. The following services of Xiaopeng Motors are hosted on Alibaba Cloud Container Service for Kubernetes (ACK): data processing, AI training and inference, workflows, and site reliability engineering (SRE).

1 Nov 11:20

D3-1

Unified Multi-Cloud and Cross-Cloud Security Operations Management

1 Nov 13:00

Security Center's powerful integrated management capability enables enterprises with complex cloud architectures to achieve unified asset discovery, cloud product configuration management, vulnerability detection, and comprehensive log threat analysis.

1 Nov 13:00

D3-1

Elastic Computing-based Inference Solution Resolves Computing Power Crisis for AIGC

1 Nov 13:30

0. LLM and Stable Diffusion (SD) inference solution
1. Demonstration of optimized performance
2. Performance challenges brought by LLM inference
3. Practices for SD inference optimization
4. Cloud deployment solution (Performance demonstration based on compute nests and GPU instances)

1 Nov 13:30

D3-5

Optimizing CDN Technology for Global Business Expansion

1 Nov 13:40

As enterprises step onto the global stage, the spotlight falls on Content Delivery Network (CDN) acceleration solutions in overseas business scenarios. Through several illustrative cases, this presentation will showcase how leveraging nodes from Alibaba's overseas edge cloud can manage customer business interactions. It will delve into various CDN acceleration technologies that can significantly enhance the end-user access experience, all aimed at achieving seamless and efficient data transmission.

1 Nov 13:40

D3-8

Lindorm, an Integrated Data Platform for the AI Era

1 Nov 15:00

With the development of the Internet, IoT, and AI, enterprises are facing the challenge of processing large amounts of semi-structured and unstructured data. In traditional data architectures, multiple systems are used. As a result, ​data processing is complex and inefficient. Lindorm aims to build a simple and efficient multi-modal data platform that can process multi-modal data in real-time, offline, AI, and vector scenarios in a unified manner. Lindorm provides a cost-effective solution to meet the needs of big data processing and AI applications. By using Lindorm, you can process large amounts of data in a way as simple as using MySQL.

1 Nov 15:00

D4-6

Unveiling ModelScope FaceChain Open Source: An Insight into Portrait Creation and Virtual Fitting Applications

1 Nov 15:10

This event highlights the actionable visual technologies and business practices in the AIGC era, introducing open source, API, and one-click cloud deployment solutions for portrait creation and virtual fitting experiences, aimed at propelling industry growth. Main Agenda: 1.) Host's opening, unveiling related open source, API, and one-click cloud deployment solutions. 2.) Guest presentations. 3.) Roundtable discussion and Q&A session.

1 Nov 15:10

B3-2

New Features of PolarDB

1 Nov 15:35

PolarDB, a representative service of cloud databases, has launched many å technologies and features lately. We have invited PolarDB customers from various industries to share their experiences in business development, including the challenges they encountered and how they used PolarDB to solve problems in different scenarios. This session will also cover best practices for using the latest popular database technologies, such as multi-master multi-write, hybrid transactional/analytical processing (HTAP), serverless, data compression, DB4AI, and global active-active.

1 Nov 15:35

D4-5

AIGC: A New Paradigm

1 Nov 15:40

In the era of large language models, model services have become a crucial domain for business implementation. This discussion will focus on Alibaba Cloud's PAI-EAS (Elastic Algorithm Service), introducing the latest breakthroughs from three aspects: ultimate cost-effectiveness, comprehensive scenario coverage, and a wealth of best practices. At the same time, we will launch the brand new feature EAS-LLM, fully facilitating the efficient implementation of large language models.

1 Nov 15:40

D3-5

2 Nov

Cloud-Based Security SIEM Solution by Alibaba Cloud and IBM Security, Providing Security Protection for Global Enterprises

2 Nov 09:00

Alibaba Cloud and IBM will launch the world's first cloud-based SIEM solution, providing security protection for enterprises in industries (such as the Internet, finance, retail, and manufacturing). This solution identifies potential threats when using cloud products by integrating the IBM Qradar SIEM platform with the Alibaba Cloud Log Service (SLS), helping users meet relevant security requirements and achieve threat detection, security event management, and compliance detection for cloud-based products.

2 Nov 09:00

D3-5

Application of AIGC in Marketing Scenarios

2 Nov 14:55

Marketing Engine, serving as a marketing product, harnesses the current popular AIGC algorithms to develop automated creativity and content AI generative tools in marketing scenarios, thereby elevating the efficiency of creative content production.

2 Nov 14:55

D2-2

Delving into AGI Technology for Cloud Security Applications

2 Nov 09:00

Major Announcements and In-depth Explorations on AI & Security Major Announcements: Upgrade to Native Cloud Security Services: Unveiling Alibaba Cloud Security Center's Applications in Large Language Models Apsara Conference Night Talk on Algorithmic Security: Discussing the Exponential Evolution of Cloud + AI + Security as Pivotal Elements in Digital Transformation In-depth Explorations: Technical Measures and Harnessing AI to Bolster Security Capabilities Deepfake Dilemma: Navigating New Challenges in Face Authentication Amidst the AI Face-Swapping Fraud Wave AIGC Content Security: Tackling Challenges and Implementing Practical Solutions for Content Security in the AIGC Era

2 Nov 09:00

D2-2

Building Big Data Platforms in the Data+AI Era

2 Nov 09:30

In this new era, the focus in constructing cloud data warehouses has transitioned from meeting functional needs to pursuing optimal efficiency, thereby ushering in further demands for intelligence and automation. This transition also cultivates new realms for AI applications. By exploring this topic, we aim to share our insights on the evolution of data warehouses amidst the unfolding Data+AI trend with our readers.

2 Nov 09:30

D3-1

ECS Resource Advisor Helps Customers Smoothly Handle Traffic Surges

2 Nov 10:20

To ensure that public cloud users can continuously obtain cloud resources, comprehensive measures are required. This session introduces how to optimize auto scaling to address the peak traffic during events such as Double 11 and major promotions. The measures include capacity reservation, standby resources, resource recommendations, and Reserved Instances (RI). Hands-on practices are also introduced.

2 Nov 10:20

D2-1

Large Language Model Applications in Finance: Reshaping Financial Enterprise Applications and User Experience

2 Nov 13:00

Introducing Alibaba Cloud's practices of deploying large language models in the financial sector, aiding institutions in identifying priority scenarios, aligning with their inherent resource endowments, and realizing a rapid deployment of intelligent applications at manageable costs.
1. Rationally assessing and selecting large language models, continuously optimizing the effectiveness of enterprise large model applications;
2. Integrating enterprises' proprietary knowledge bases, databases, and toolkits to expand the capability boundaries and usage scenarios of large language models;
3. Employing AI agents in typical financial scenarios to reduce costs and improve efficiency and experience.

2 Nov 13:00

B3-4

CloudOps, Cloud-based Automated O&M Suite, Helps Enterprises Use Clouds Effectively

2 Nov 13:30

This session summarizes the overall concept of CloudOps, including the whitepaper, products, and product matrix of CloudOps 2.0, and what's new for FY24. This session also introduces the new features of CloudOps and best customer practices. This helps customers use the cloud native capabilities of Alibaba Cloud to address needs such as elasticity, cost optimization, automation, security, and stability.

2 Nov 13:30

D3-9

Next Generation Data Security Management System for Cloud Databases

2 Nov 13:30

Cloud databases are used to manage critical data of cloud service users, such as sensitive personal information, business operational data, running system data, and business data. The latest data security management system has become an important means for enterprises to migrate services to the cloud. 1. Introduction to the data security system for cloud databases 2. Major releases and advantages of the entire product line 3. Introduction to the online data protection solution that helps customers perform data security compliance governance and improve O&M, development, and upgrade efficiency at low costs

2 Nov 13:30

A1-2

From Small to Big: ​Practices of Small and Large Language Models in IoT Scenarios

2 Nov 13:40

Keywords: Internet of Things, Small Language Models, Large Language Models In IoT settings, the exploration of platform capabilities and the practical applications of both small and large language models are paramount. The integration of IoT heterogeneous computing with the ModelScope ecosystem significantly advances intelligent evolution on the device end. This discussion explores the trade-off between accuracy and efficiency when utilizing small and large language models in IoT scenarios, and presents insights and use cases for deploying different sizes of language models within IoT contexts.

2 Nov 13:40

B3-4

ACK One Enables Simpler Multi-cloud Collaboration and More Efficient Workload Management

2 Nov 15:40

Enterprises may deploy clusters in various environments, such as public cloud Kubernetes clusters from different cloud providers, Kubernetes clusters deployed in on-premises IDCs, and self-built open source clusters. This allows enterprises to use resources in different environments. However, these clusters, which are deployed across different forms, regions, infrastructures, and network environments, pose significant challenges to O&M. This session shares how enterprises can use ACK One to simplify the deployment and management of hybrid cloud clusters.

2 Nov 15:40

D3-6

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