The Topic Covers Brief history of GenAI – how we got to where we are. Current State of GenAI – both a KMS and Industry perspective – current tools, techniques, trends, and use cases/scenarios where Gen AI is being appliedFuture State of GenAI – paint a picture of 2-3 years and 5+ years from now […]
KEYNOTE: Imagining The Future of KMS with Gen AI Read More »
The Topic Covers We developed a robust Android TV app for deployment on a large scale across numerous home TV units and implemented Bluetooth device communication to retrieve RPM data from patients’ medical devices. By leverage existing resources and knowledges, we created an IoT solution using low-energy computing devices like Raspberry Pi or ESP32 board.
[ENG] Remote Patient Monitoring Solutions Read More »
The Topic Covers An LLM agent is an artificial intelligence system that utilizes a large language model (LLM) as its core computational engine. It possesses capabilities that go beyond text generation, including engaging in conversations, completing tasks, reasoning, and demonstrating a certain level of autonomous behavior. In this topic, we will explore the development of
[VIE] LLM Autonomous Agents Read More »
The Topic Covers Software documentation serves a critical role in boosting developer productivity, accelerating issue resolution, and facilitating seamless knowledge transfer. In this session, our goal is to dive deep into the inherent challenges of traditional software documentation. We’ll explore the practical strategies for applying an effective model to microservices documentation, enhancing collaboration across development
[ENG] Software Documentation Best Practices Read More »
The Topic Covers Large Language Models (LLMs) have transformed how we interact with data, and RAG adds factual context for meaningful conversations with private data. With just five lines of code using frameworks like LangChain or LlamaIndex, you can create your own chatbot. However, achieving production-level performance for your chatbot is not an easy task.
[VIE] Harnessing RAG’s Potential: Strategies for Precision and Insight Read More »
The Topic Covers Understanding the power of observability is crucial for engineers working with complex distributed systems. Software telemetry serves as the key, providing valuable insights into system behavior and performance. Observability relies on three pillars: metrics, traces, and logs. By correlating these three components, us engineers can gain comprehensive insights into their distributed systems.
[ENG] How Modern Observability Has Been Empowered Read More »
The Topic Covers Explore the world of continuous profiling, an innovative approach to optimizing software performance. In this session, we will inquire into the importance of real-time observation in large-scale software, introducing you to the concept of continuous profiling and its transformative impact. From understanding its definition to evaluating its advantages and disadvantages, we will
[ENG] Continuous Profiling: Holistic Performance Optimization Read More »
The Topic Covers DAST involves simulating real-world attacks to identify vulnerabilities that may go undetected by static code analysis. With DAST tools, issues like SQL injection, XSS, CSRF, and more can be effectively pinpointed. By integrating DAST into your CI/CD pipeline, you can automate the security scanning of your web applications, guaranteeing their security before
[ENG] DAST – Automated Security Scanning on CI/CD Pipeline Read More »
The Topic Covers Discover the transformative impact of Clinical Decision Support (CDS) Hooks on decision-making in healthcare. These hooks serve as invaluable tools that provide clinicians with actionable advice, seamlessly integrating into their workflow and simplifying their tasks. This topic will discuss how CDS Hooks empower clinicians to deliver enhanced patient care by offering tailored
The Topic Covers Data lakehouse architectures gained popularity around 2020, with the term coined by the company Databricks. The concept of a lakehouse revolves around replacing the traditional relational data warehouse with a single repository, a data lake, in your data architecture. This approach allows for the ingestion of all types of data—structured, semi-structured, and
[VIE] The Lakehouse Architecture Read More »
