Overview
Aivix provides an AI-powered platform designed to deliver quantitative precision in data infrastructure and analytics operations.
In the news
- 𝙏𝙝𝙚 𝙢𝙤𝙢𝙚𝙣𝙩 𝙮𝙤𝙪 𝙨𝙚𝙣𝙙 𝙨𝙤𝙢𝙚𝙤𝙣𝙚 𝙖 𝙘𝙤𝙥𝙮 𝙤𝙛 𝙮𝙤𝙪𝙧 𝙙𝙖𝙩𝙖, 𝙮𝙤𝙪 𝙝𝙖𝙫𝙚 𝙡𝙤𝙨𝙩 𝙘𝙤𝙣𝙩𝙧𝙤𝙡 𝙤𝙛 𝙞𝙩.” For Jeroen Van Pelt, that gets to the heart of why data sharing deserves another look. A customer list sent to an agency can become outdated. Database replicas need to be maintained. And once a file has been sent to an external party, you can’t simply take it back when access should end. 𝗦𝗵𝗮𝗿𝗶𝗻𝗴 𝗮𝗰𝗰𝗲𝘀𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗰𝗼𝗽𝗶𝗲𝘀 𝗰𝗵𝗮𝗻𝗴𝗲𝘀 𝘁𝗵𝗮𝘁 𝗺𝗼𝗱𝗲𝗹. On November
- Moving from SAP BW to a modern data platform? Our migration accelerators also support the journey to Databricks, helping reduce manual work and speed up migration projects.
- 𝗠𝗼𝘃𝗶𝗻𝗴 𝗮𝘄𝗮𝘆 𝗳𝗿𝗼𝗺 𝗦𝗔𝗣 𝗕𝗪 𝗺𝗮𝗸𝗲𝘀 𝘀𝗲𝗻𝘀𝗲. 𝗥𝗲𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗺𝗮𝗻𝘂𝗮𝗹𝗹𝘆 𝗱𝗼𝗲𝘀𝗻'𝘁. In our previous posts, we looked at why the end of SAP BW 7.5 mainstream maintenance in 2027 is a good moment to rethink your data platform. Once you've decided on your future-proof architecture, the next challenge is getting there as efficiently and effectively as possible. Over the years, SAP BW landscapes have accumulated hundreds or even thousands of objects, transformations and business
- 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗵𝗮𝘀 𝗴𝗿𝗼𝘄𝗻. 𝗛𝗮𝘀 𝘆𝗼𝘂𝗿 𝘀𝗲𝘁𝘂𝗽 𝗴𝗿𝗼𝘄𝗻 𝘄𝗶𝘁𝗵 𝗶𝘁? More workloads, pipelines and users can gradually lead to higher DBU consumption, longer runtimes and an environment that becomes more difficult to maintain. With our 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗰𝗼𝘀𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝘀𝗰𝗮𝗻, we take a focused look at how your platform is actually being used. We assess compute and workloads, orchestration, data engineering and code to
- 𝗖𝗔𝗦𝗘: 𝗪𝗲 𝗿𝗲𝗯𝘂𝗶𝗹𝘁 𝗔𝗿𝘃𝗲𝘀𝘁𝗮’𝘀 𝗱𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘂𝘀𝗲𝗿𝘀 𝗻𝗼𝘁𝗶𝗰𝗶𝗻𝗴 Modernizing your data platform without changing the reporting experience your business users already know and trust? That was exactly the challenge we faced at Arvesta. Over the years, critical business logic had become embedded in Qlik, making it difficult to maintain, scale, and reuse data beyond reporting. Together with Arvesta, we tackled this challenge by moving business logic to Azure
- 𝗦𝗵𝗮𝗿𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗶𝘀 𝗲𝗮𝘀𝘆. 𝗞𝗲𝗲𝗽𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝗳 𝗶𝘁 𝗮𝗳𝘁𝗲𝗿𝘄𝗮𝗿𝗱𝘀 𝗶𝘀 𝗵𝗮𝗿𝗱𝗲𝗿. So when does it make sense to stop sending copies and start sharing access instead? That’s one of the questions we’ll answer during our upcoming webinar on Databricks OpenSharing. 𝗬𝗼𝘂’𝗹𝗹 𝗹𝗲𝗮𝗿𝗻: → Where OpenSharing can replace exports, replicas or custom integrations → How you keep control over who can access shared data → What it costs and who pays for cloud egress → How recipients can consume data without
- 𝗦𝘁𝗶𝗹𝗹 𝘀𝗵𝗮𝗿𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗯𝘆 𝘀𝗲𝗻𝗱𝗶𝗻𝗴 𝗰𝗼𝗽𝗶𝗲𝘀? 𝗧𝗵𝗲𝗿𝗲 𝗶𝘀 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘄𝗮𝘆. An SFTP drop for a partner. An Excel export for an agency. A database replica for an external party. A custom API that someone still needs to maintain. These approaches work, but they all create the same problem: 𝗼𝗻𝗰𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗵𝗮𝘀 𝗯𝗲𝗲𝗻 𝗰𝗼𝗽𝗶𝗲𝗱, 𝗸𝗲𝗲𝗽𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝘃𝗲𝗿 𝗶𝘁 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗺𝘂𝗰𝗵 𝗵𝗮𝗿𝗱𝗲𝗿. On November 12, Jeroen Van Pelt will show how Databricks OpenSharing takes a
- 𝗔𝗻𝗼𝘁𝗵𝗲𝗿 𝗴𝗿𝗲𝗮𝘁 𝗱𝗮𝘆 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝘁 𝗔𝗶𝘃𝗶𝘅! Today, we hosted another edition of our Databricks GenAI Bootcamp, bringing together data professionals interested in exploring the practical side of Generative AI. Guided by Tim Bal and Charlotte Blankenberg, participants explored GenAI applications, Vector Search and Unity Catalog through hands-on exercises. Thanks to everyone who joined us for a day of learning, knowledge sharing and interesting discussions. And of course, a big thank you to
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