{ "sessions": [ { "id": "516577", "title": "Keynote: Battle of Centralized vs Personal Compute", "description": "Being part of this industry means getting comfortable holding on to an endlessly swinging pendulum of trends. \r\n\r\nCentralized vs Personal. Single-Node vs Distributed. Small Data vs Big Data. Structured Data vs Unstructured Data. Cloud Compute vs On-Premise Compute. \r\n\r\nAs engineers, we care about these trends because we want to learn news things and advance our careers. But our users don't care as long as we can get the job done well.\r\n\r\nAnd sometimes our industry gets stuck on a trend and the pendulum doesn't swing fast enough as constraints change. \r\n\r\nThis talk will explore some of these trends and hopefully make us a bit more introspective as we choose which technologies and trends to advocate within and outside our orgs.", "startsAt": "2023-08-25T09:10:00", "endsAt": "2023-08-25T09:50:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "359104d7-9aa1-48b2-8577-2702c8ac2568" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "518125", "title": "MLOps Beyond LLMs", "description": "Companies & organizations know they shouldn’t build for Google but they also don’t know how NOT to build for Google scale.\r\n\r\nThe MLOps tooling ecosystem is fragmented and companies that are just starting on their journeys to becoming ML-native or ML-fluent are confused by the ML Ops maturity models that don't account for their particular organizational goals or trajectory, especially if they're not \"on the road\" to Google maturity.\r\n\r\nToss in the the emergence and (seemingly widespread) adoption of LLM’s and companies (and teams) are lost and looking for clarity on:\r\n\r\n- How can existing ML platforms be extended to account for new uses cases involving LLMs?\r\n- Does the team composition change? Do we now need to start hiring “prompt engineers”?\r\n- Should we stop existing initiatives? Do we need to pivot?\r\n\r\nMy goal in this session is to help cut through the noise and cover:\r\n\r\n- What are the main problems MLOps tries to solve?\r\n- What does the archetypal MLOps platform look like?\r\n- What are the most common components of an MLOps platform?\r\n- Where do LLM based applications fit in?", "startsAt": "2023-08-25T09:50:00", "endsAt": "2023-08-25T10:30:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "5b362fba-1112-4b0a-a545-45e48d00992b" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "516008", "title": "Data Contracts: Data Quality for AI", "description": "In this session, we'll dive into the world of data contracts - API-based agreements between data producers and consumers that capture the schema, semantics, distribution, and enforcement policies of the data. Learn how data contracts provide a single surface for collaboration on data in a shared language, allow the data model to evolve in an agile, iterative way, and apply data governance incrementally where it's needed for AI and ML systems. We'll explore how organizations can leverage data contracts to ensure Artificial Intelligence systems are trained on trustworthy and well-governed datasets.", "startsAt": "2023-08-25T11:10:00", "endsAt": "2023-08-25T11:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "b433c435-f50f-43a0-afd0-9bff552b26ac" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "497646", "title": "Vector Database: The What, The Why, and The How", "description": "This talk dives into the world of vector databases, providing a concise overview of their fundamental concepts, growing importance, and practical application Attendees will:\r\n- Gain a clear understanding of what vector databases are and how they differ from traditional relational databases\r\n- Discover the reasons behind their increasing popularity, driven by the need for efficient storage and retrieval of high-dimensional data in fields such as AI, machine learning, and advanced analytics.\r\n- Explore some architectural considerations, indexing strategies, and data modelling techniques that enable effective usage of vector databases.\r\n- Uncover the potential connection between vector databases and large language models, such as OpenAI’s ChatGPT, and how their integration can enhance natural language understanding and generation.\r\nBy the end of this presentation, attendees will be equipped with valuable insights into leveraging vector databases to unlock new frontiers in data-driven applications, powering the next generation of AI applications with advanced and high-performant vector similarity search technology and stay ahead in this era of industrial revolution. ", "startsAt": "2023-08-25T11:10:00", "endsAt": "2023-08-25T11:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "5975467b-b7c0-4486-b75c-94bcce35867e" ], "categoryItems": [], "questionAnswers": [], "roomId": 34377, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "533366", "title": "Delta Lake UniForm - Open data formats FTW!", "description": "We will take a look at the Open Source Delta Lake storage format and in particular the recently announced universal format (UniForm) feature that can be enabled to allow access from tools that support Iceberg. Let's examine how this will help users access their data from an expanded set of tools.", "startsAt": "2023-08-25T11:10:00", "endsAt": "2023-08-25T11:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "8ccc51e1-efec-42ad-ae5f-3947e015a57e" ], "categoryItems": [], "questionAnswers": [], "roomId": 34378, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "481393", "title": "Transactional Data Platform at Atlassian", "description": "A shift from your traditional OLTP Systems. \r\n\r\nHow Atlassian built a new generation multi-region and massively scalable Storage Platform ground up for its Transactional data. Sprinkled with some scale challenges and tradeoffs along the journey.", "startsAt": "2023-08-25T11:40:00", "endsAt": "2023-08-25T12:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "8cdc41c0-94ce-41c4-83b0-f861220de159" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "496909", "title": "LLMs: A Data Engineer's Game", "description": "We have a controversial opinion, but please hear us out: LLMs has become a data engineering problem rather than a data science problem!\r\n\r\nIn this session we'll explore how data engineering teams can leverage LLMs with ease within the Databricks Data+AI platform.\r\n\r\nWe'll explore how we can utilise commercial LLMs and build-your-own LLMs to bring natural language querying to your data. \r\n\r\nBest of both worlds: fine-tuned LLMs + commercial LLMs. We'll look at fine-tuning and applying Hugging Face models thanks to the ease of MLflow's integration with Hugging Face. Using SQL AI Functions to apply OpenAI GPT-3.5 text capabilities to unstructured data\r\n\r\nCall to action: We hope we demonstrate that it's possible for DEs to leverage LLMs today with a combination of fine-tuned LLMs and commercial LLMs. You don't need to wait for your data science team to start creating value from your data", "startsAt": "2023-08-25T11:40:00", "endsAt": "2023-08-25T12:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "79ab15ab-fb45-4283-be58-0a480f0f1ded", "a5b65eae-7fea-433b-99e6-aa1f8d0a29a2" ], "categoryItems": [], "questionAnswers": [], "roomId": 34377, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "472535", "title": "Processing 40 TB of code from ~10 million projects with a dedicated server and Go for $100", "description": "The problem? We have some software that can tell you how complex a project is. However in order to gauge what that number means we need to compare it to other projects. But which projects? How about all of them!\r\n\r\nLearn why using AWS was not the right approach here, and how we ended up processing millions of repository to find the answers to such questions as,\r\n\r\nYAML vs YML?\r\nWhich group of developers have the biggest potty mouth?\r\nHow many files does an average repository have?\r\nHow many lines of code are in a typical file per language?\r\nHow many repositories appear to be missing a license? Why does that even matter?!\r\n\r\nAnd more!", "startsAt": "2023-08-25T11:40:00", "endsAt": "2023-08-25T12:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "3573b721-8d83-4297-92be-4286e9577fb5" ], "categoryItems": [], "questionAnswers": [], "roomId": 34378, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "515758", "title": "Data Vault Engineering", "description": "Snowflake breathes new life into Data Vault! \r\n\r\nA Data Vault model is intended to represent the business through Enterprise Architecture as repeatable patterns. \r\nThese are repeatable patterns in: \r\n• Data modelling, \r\n• Data engineering and model testing \r\n• Data architecture \r\n• and information consumption. \r\n\r\nThis talk is on what those patterns are and how you can use Snowflake native features to simplify your Data Vault patterns", "startsAt": "2023-08-25T12:10:00", "endsAt": "2023-08-25T12:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "60c139f7-7fcd-4fe4-b255-4acacc2f8c24" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "501543", "title": "Navigating the MLOps Journey: Key Considerations for Successful Implementations", "description": "Embarking on the MLOps journey can be a game-changer for those seeking to unlock the full potential of their machine learning teams and solutions. Explore the critical considerations required with an end to end overview of an MLOps implementation.\r\n\r\nIn this session, we will delve into the essential components of MLOps and how they streamline the development, deployment, and maintenance of machine learning models. We will discuss key considerations such as infrastructure requirements, data management and model versioning and team roles and responsibilities that work best. Whether you're just starting your MLOps journey or looking to optimize your existing processes, see how MLOps can enhance model performance, improve productivity, ensure regulatory compliance, and foster a culture of collaboration and innovation within your team.", "startsAt": "2023-08-25T12:10:00", "endsAt": "2023-08-25T12:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "3541fb1c-6caf-48d7-ac42-ae5ab2d442ca" ], "categoryItems": [], "questionAnswers": [], "roomId": 34377, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "496020", "title": "Can we get a Connection?", "description": "Optimised data flows using Neo4j Fabric \r\nLearn how we discover patterns and insights across billions of data connections deeply, easily, and quickly with Neo4j GraphDB. We'll walk through a scalable big data model implementation using a Fabric Architecture to optimise real time ingestion and graph search.", "startsAt": "2023-08-25T12:10:00", "endsAt": "2023-08-25T12:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "df89a926-3150-4d3a-b77f-b86990f3a3c1" ], "categoryItems": [], "questionAnswers": [], "roomId": 34378, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "521589", "title": "Super charge data engineering productivity in era of AI", "description": "Learn how simplifying the data platform, leveraging data mesh patterns and generative AI can enhance data engineering productivity", "startsAt": "2023-08-25T13:40:00", "endsAt": "2023-08-25T14:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "3bfaf7f0-0e4e-4c65-8d30-784bbb98b771" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "516531", "title": "Crossing the River by Feeling the --Stones-- Data", "description": "The importance of data in building AI applications is well understood. But often, chasing deadlines, we end up de-prioritising making data as first-class citizens. We have all been there and done that. Can we perhaps change our AI practices to iteratively develop to cross the proverbial river by feeling the stone...err data? This fun talk is all about the role of data in AI and a different perspective on incrementally growing it! ", "startsAt": "2023-08-25T13:40:00", "endsAt": "2023-08-25T14:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "6030fe4f-d9ac-42d1-8d09-7692e0a2beb9" ], "categoryItems": [], "questionAnswers": [], "roomId": 34377, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "482579", "title": "Compilation is coming to a data stack near you", "description": "Abstract: \r\n\r\nIn the 1960s, software engineering went through a radical shift. Instead of writing programs, people started writing programs that wrote programs. The same is about to happen to data engineering.\r\n\r\nDescription:\r\n\r\nRemember when people wrote low-level code with a basic instruction set that was quite similar across vendors but slightly different in annoying ways that made you want to tear your hair out? That's the life of a data engineer today, but it doesn't need to be this way.\r\n\r\nSoftware engineering went through a similar shift back in the 1960s. This made their programs less buggy, more portable, easier to debug and enabled more people to \"come to the party\", driving further innovation.\r\n\r\nData engineering stands on the brink of the same revolution, and the semantic layer is the key to this. In this talk, Abhinav will demonstrate how compilers will change the field in the years to come.", "startsAt": "2023-08-25T13:40:00", "endsAt": "2023-08-25T14:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "9892a9d1-c0da-4a26-886b-80efef6038ed" ], "categoryItems": [], "questionAnswers": [], "roomId": 34378, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "524402", "title": "Build your own electric vehicle charging map with PostGIS", "description": "An educational live demo of a map server showing electric vehicle charging stations so you'll never be stuck without a charge again.\r\nYour map will show the available charging stations, which ones you can reach with your current range and the most efficient route to each one.\r\n\r\nCome along and see what you can build with PostGIS and pgRouting in the context of a topical real world use case.\r\nWe will also take a look at some ETL and geocoding examples using PL/Python running natively in Postgres.\r\n\r\nFinally, we will look at why PostGIS is so powerful for both performance and integration - including functions to work with GeoJSON, KML and MVT, built-in 3D and topology support, and advanced spatial indexing enhancements.\r\nThis is a beginner to intermediate session for PostGIS and assumes a rudimentary knowledge of SQL and spatial data.", "startsAt": "2023-08-25T14:10:00", "endsAt": "2023-08-25T14:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "2155043b-45eb-4f85-8f5c-7a2cb99a96c1" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "516814", "title": "What does MLOps look like for Large Language Models (LLMs) in production?", "description": "In the BC (Before- ChatGPT!) era, MLOps primarily encompassed the processes related to model serving, inference and monitoring. During that time, considerable effort was dedicated to data collection and model training, with MLOps serving as a means to operationalize and manage those models effectively. However, the landscape has shifted post-BC and the traditional practices of model training and fine-tuning have become less common due to extended context window size. While all of these core processes still remains crucial, in this talk we deep dive into emerging dynamics of operatizaling LLMs at scale in addition to invaluable insights gleaned from the real-world industrial applications.", "startsAt": "2023-08-25T14:10:00", "endsAt": "2023-08-25T14:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "da8fea4d-1159-4d4a-bced-9ffe3e276489" ], "categoryItems": [], "questionAnswers": [], "roomId": 34377, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "512292", "title": "Supercharging SQL Query Performance: Unleash the Power Within!", "description": "In a world of diverse database technologies, relational databases continue to reign supreme when it comes to managing and storing data. However, as data volumes skyrocket, backend engineers often find themselves grappling with sluggish SQL query performance. Instead of relying solely on overburdened DBAs, why not take the reins and unlock the secrets to optimizing queries yourself?\r\nPrepare to embark on a thrilling journey into the heart of SQL query execution within relational databases. From uncovering the hidden potential of various index types in SQL server to diving deep into their implementation details, this talk leaves no stone unturned.\r\nBut that's not all—brace yourself for a mind-blowing exploration of the intricate SQL query execution process. Witness the magic behind the scenes as a database engine springs into action, executing your queries step by step. Armed with this newfound knowledge, you'll be equipped with practical optimization techniques to supercharge your queries like never before!\r\nCalling all engineers and data enthusiasts who yearn to conquer query performance challenges! Join us in this dynamic session as Lisa Li, a Lead Staff Software Engineer, takes you on an adrenaline-pumping ride through the realm of SQL query optimization. Get ready to collaborate, learn, and emerge victorious with strategies to revolutionize your database performance.", "startsAt": "2023-08-25T14:10:00", "endsAt": "2023-08-25T14:40:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "0baa09eb-c3db-4ff9-9dec-d07bbbf2e55d" ], "categoryItems": [], "questionAnswers": [], "roomId": 34378, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "519423", "title": "Getting serious about transformations in the modern data stack", "description": "Data transformations, processing, and modelling serve as the fundamental elements in constructing a data platform for analytics, machine learning, and AI purposes. In this session, learn how Coalesce helps Snowflake customers to implement data engineering best practices and data modelling best practices with the speed of an intuitive graphical user interface (GUI), the flexibility of code, and the efficiency of automation for data transformations.", "startsAt": "2023-08-25T14:40:00", "endsAt": "2023-08-25T15:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "9a96fe9d-ada6-449c-841d-e90210578384", "aff73afd-1ba7-41f2-847c-6beaa219f235" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "524466", "title": "Sydney MLOps Panel Discussion", "description": "Hear from the greatest minds locally and internationally in the MLOps space!", "startsAt": "2023-08-25T14:40:00", "endsAt": "2023-08-25T15:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "67c9b628-27d5-4ba7-ac2e-6b7fde50cf20", "5b362fba-1112-4b0a-a545-45e48d00992b", "b433c435-f50f-43a0-afd0-9bff552b26ac" ], "categoryItems": [], "questionAnswers": [], "roomId": 34377, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "496521", "title": "The impact of Native Applications", "description": "Snowflake have launched their Native Applications framework, and this has huge implications many parts of the industry.\r\nIn light of this new model, this talk will discuss areas such as:\r\n\r\nOpen source projects - With Snowflake-managed infrastructure, how can open source data product companies commercialise their offering?\r\n\r\nProduct design - What does a data product look like? Instead of a complete end-to-end solution, can it be a component that users can mix in?\r\n\r\nGo-to-market strategy - Will the Snowflake marketplace take off as a distribution channel? If so, will developers be able to find customers more directly than via traditional means?", "startsAt": "2023-08-25T14:40:00", "endsAt": "2023-08-25T15:10:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "caf6327f-0ffb-4e3c-a079-c81380082b44" ], "categoryItems": [], "questionAnswers": [], "roomId": 34378, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": true }, { "id": "524465", "title": "Sydney Data Engineering Panel", "description": "Hear from the greatest minds locally and internationally about the latest trends in data engineering!", "startsAt": "2023-08-25T15:50:00", "endsAt": "2023-08-25T16:30:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "2155043b-45eb-4f85-8f5c-7a2cb99a96c1", "359104d7-9aa1-48b2-8577-2702c8ac2568", "e05995d9-7f59-414e-ab19-5126d7ac95bf" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "469008", "title": "Unleashing the Power of Real-Time Machine Learning: A Journey of Rokt's Architecture evolution", "description": "This talk that delves into the journey of Rokt's evolution in architecture as we built a web-scale real-time machine learning system. Discover how we harnessed the power of machine learning to drive business growth and success, and learn about the valuable lessons we learned along the way. You'll come away with a deeper understanding of the key factors that led to our success, and how you can leverage similar strategies to drive innovation in your own projects. This should be an exciting exploration of real-time machine learning architecture!", "startsAt": "2023-08-25T16:30:00", "endsAt": "2023-08-25T17:00:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "67c9b628-27d5-4ba7-ac2e-6b7fde50cf20" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false }, { "id": "516897", "title": "Data Modeling is Dead! Long Live Data Modeling!", "description": "Data modeling is on life support. Some say it’s dead. The traditional practices are increasingly ignored and forgotten. The result is often a loss of structure and a shared understanding of business rules and vocabulary.\r\n\r\nAt the same time, data modeling is more critical than ever. With AI's rising popularity, many organizations rush to incorporate it into their infrastructure. Without consideration of the underlying data framework, the result will be unpleasant for many organizations.\r\n\r\nIn this talk, I argue that data modeling is a key enabler for success with AI. We must return to basics and revamp data modeling to work with modern business workflows and technologies. Long live data modeling!", "startsAt": "2023-08-25T17:00:00", "endsAt": "2023-08-25T17:30:00", "isServiceSession": false, "isPlenumSession": false, "speakers": [ "e05995d9-7f59-414e-ab19-5126d7ac95bf" ], "categoryItems": [], "questionAnswers": [], "roomId": 34376, "liveUrl": null, "recordingUrl": null, "status": "Accepted", "isInformed": true, "isConfirmed": false } ], "speakers": [ { "id": "9892a9d1-c0da-4a26-886b-80efef6038ed", "firstName": "Abhinav", "lastName": "Goyal", "bio": "I have worked in the tech R & D space for 20+ years spanning industries such as Telecommunications and Networking, Robotics and Machine Learning. Most recently, i was at AWS before i quit to start Ordinatim.\r\n\r\nOrdinatim is a startup that builds on all the lessons i have learned over my career.", "tagLine": "Founder/CTO at Ordinatim", "profilePicture": "https://cdn.sessionize.com/image/07f5-400o400o1-DYvMYMsjwKaUuE8vWd5V8k.jpg", "isTopSpeaker": false, "links": [], "sessions": [ 482579 ], "fullName": "Abhinav Goyal", "categoryItems": [], "questionAnswers": [] }, { "id": "3541fb1c-6caf-48d7-ac42-ae5ab2d442ca", "firstName": "Akanksha", "lastName": "Malik", "bio": "Akanksha is a Data Consultant, a Microsoft AI MVP and an international speaker. After studying Financial Maths and Actuarial Science at UCC, Ireland, she realised she wanted to work with people as well as numbers. As a consultant, she works with clients to help them solve problems by making more informed decisions with data. \r\n\r\nShe is a firm believer of diversity and inclusivity. She loves machine learning, and that it is becoming more accessible to everyone. 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