Data Engineering Weekly #167
Data Engineering Weekly
by Ananth Packkildurai
1w ago
Meta: OpenEQA - From word models to world models Will AI agents soon become a common fixture in our homes and an integral part of our daily lives? Meta introduces the Open-Vocabulary Embodied Question Answering (OpenEQA) framework—a new benchmark to measure an AI agent’s understanding of its environment by probing it with open-vocabulary questions. Meta claims that by enhancing LLMs with the ability to “see” the world and situating them in a user’s smart glasses or on a home robot, we can open up new applications and add value to people’s lives. https://ai.meta.com/blog/openeqa-embodied-que ..read more
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Data Engineering Weekly #166
Data Engineering Weekly
by Ananth Packkildurai
2w ago
dbt: 2024 State of Analytics Engineering The 2024 dbt’s state of analytical engineering report is out. Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war. https://www.getdbt.com/resources/reports/state-of-analytics-engineering-2024 Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insigh ..read more
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Data Engineering Weekly #165
Data Engineering Weekly
by Ananth Packkildurai
3w ago
Intuit: How Intuit data analysts write SQL 2x faster with the internal GenAI tool The productivity increase with GenAI is undeniable, and several startups are trying to solve the Text2SQL generation problem. Intuit wrote an exciting article about what it learned from rolling out the internal GenAI tool. My key highlight is that Excellent data documentation and “clean data” improve results. The blog further emphasizes its increased investment in Data Mesh and clean data. https://medium.com/intuit-engineering/how-intuit-data-analysts-write-sql-2x-faster-with-internal-genai-tool-c3b9d482208a D ..read more
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Data Engineering Weekly #164
Data Engineering Weekly
by Ananth Packkildurai
1M ago
al6z: 16 Changes to the Way Enterprises Are Building and Buying Generative AI This report has a lot of interesting insight into the enterprise adoption of Gen AI. Companies are more open to adopting Gen AI for their internal use cases but have reservations about rolling it out to their clients. The Gen AI budget is now rolling into regular software budgeting rather than an experimental budget. OpenAI has more production deployments, but Google is catching on to it. https://a16z.com/generative-ai-enterprise-2024/ Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview ..read more
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Data Engineering Weekly #163
Data Engineering Weekly
by Ananth Packkildurai
1M ago
Stephanie Kirmer: Uncovering the EU AI Act Large language models have taken the world by storm, and every country is trying to evaluate its potential impact. India recently announced that all AI apps require government approval and dropped the plan later. On similar trends, the article navigates to the complex EU AI Act, recently passed by the European Parliament, which introduces comprehensive regulations for machine learning models impacting EU citizens, focusing on mitigating risks to health, safety, and rights. It defines AI broadly, including any machine-based system influencing physical ..read more
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Data Engineering Weekly #162
Data Engineering Weekly
by Ananth Packkildurai
1M ago
Editor’s Note: Chennai Meetup Wrap-Up & Preparation work started for DEWCon I am so grateful for the enthusiastic participants who made our Chennai Data Heroes- Community for Data Folks meetup vibrant! Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal. Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses. Thanks to Ideas2IT Technologies for hosting us in their fantastic space. Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata ..read more
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Data Engineering Weekly #161
Data Engineering Weekly
by Ananth Packkildurai
1M ago
RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Visit rudderstack.com to learn more. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup. There will be food, networking, and real-world talks around data engineering. Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 2 ..read more
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Data Engineering Weekly #160
Data Engineering Weekly
by Ananth Packkildurai
2M ago
RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Visit rudderstack.com to learn more. Editor’s Note: DEWCon Europe Update & Data Hero’s Chennai Chapter Meetup Last week, we asked our readers if we should bring DEWCon to Europe. I’m super grateful to see so many people participate in the poll. I’m super delighted to see the result. 88% of people voted, Yes for DEWCon!!! Regarding which city to host the DEWCon event, Berlin and Amsterdam got an almost equal vote ..read more
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Data Engineering Weekly #159
Data Engineering Weekly
by Ananth Packkildurai
2M ago
RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Visit rudderstack.com to learn more. Editor’s Note: DEWCon Next? Aswin and I started DEWCon as a fun experiment. Midway through organizing the conference, fear washed over us. Had we bitten off more than we could chew? Was this simply too ambitious? We have no sponsors. Our hope is only with the amazing community of data practitioners who constantly support us. One thing I learned while writing Data Engineering Weekly is ..read more
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