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PT Pupuk Indonesia is one of the largest plant nutrition and fertiliser companies in Asia, with approximately 8,000 employees. The company aims to provide products that help farmers achieve sustainable agriculture. They do this by consistently looking for new ways to reduce the environmental impact of products, reducing carbon emissions, and much more. The company centralised its data in the Snowflake Data Cloud to advance sustainable agriculture and better serve the local farming community. By collecting data from a variety of sources and applications, Pupuk now has rich analytics that help the company better understand its customers, including those farmers in the more rural areas of Indonesia. Dommy Asfiandy, Project Manager - Data Science at Pupuk shares how using the Data Cloud platform, the company has democratised access to its data, allowing everyone in the company to securely access and analyse data independently. In addition, Snowflakeʼs ease of use and near-zero maintenance means the Pupuk team can spend more time driving the business and less time on managing their data platform. https://okt.to/5uwMTG #datacloud #customersuccess #casestudy #indonesia

PT Pupuk Indonesia is one of the largest plant nutrition and fertiliser companies in Asia, with approximately 8,000 employees. The company aims to provide products that help farmers achieve sustainable agriculture. They do this by consistently looking for new ways to reduce the environmental impact of products, reducing carbon emissions, and much more. The company centralised its data in the Snowflake Data Cloud to advance sustainable agriculture and better serve the local farming community. By collecting data from a variety of sources and applications, Pupuk now has rich analytics that help the company better understand its customers, including those farmers in the more rural areas of Indonesia. Dommy Asfiandy, Project Manager - Data Science at Pupuk shares how using the Data Cloud platform, the company has democratised access to its data, allowing everyone in the company to securely access and analyse data independently. In addition, Snowflakeʼs ease of use and near-zero maintenance means the Pupuk team can spend more time driving the business and less time on managing their data platform. https://okt.to/Xh2D53 #datacloud #customersuccess #casestudy #indonesia

PT Pupuk Indonesia is one of the largest plant nutrition and fertiliser companies in Asia, with approximately 8,000 employees. The company aims to provide products that help farmers achieve sustainable agriculture. They do this by consistently looking for new ways to reduce the environmental impact of products, reducing carbon emissions, and much more. The company centralised its data in the Snowflake Data Cloud to advance sustainable agriculture and better serve the local farming community. By collecting data from a variety of sources and applications, Pupuk now has rich analytics that help the company better understand its customers, including those farmers in the more rural areas of Indonesia. Dommy Asfiandy, Project Manager - Data Science at Pupuk shares how using the Data Cloud platform, the company has democratised access to its data, allowing everyone in the company to securely access and analyse data independently. In addition, Snowflakeʼs ease of use and near-zero maintenance means the Pupuk team can spend more time driving the business and less time on managing their data platform. https://okt.to/tOnJ0l #datacloud #customersuccess #casestudy #indonesia

🌲Watch to find out how NIBIO's Smart Forest research center utilizes #OCI to store, process, and apply #AI to data to gain a more holistic view of its forest environment: https://lnkd.in/dAvyGQMf #Oracle #Cloud #OCI

PT Pupuk Indonesia is one of the largest plant nutrition and fertiliser companies in Asia, with approximately 8,000 employees. The company aims to provide products that help farmers achieve sustainable agriculture. They do this by consistently looking for new ways to reduce the environmental impact of products, reducing carbon emissions, and much more. The company centralised its data in the Snowflake Data Cloud to advance sustainable agriculture and better serve the local farming community. By collecting data from a variety of sources and applications, Pupuk now has rich analytics that help the company better understand its customers, including those farmers in the more rural areas of Indonesia. Dommy Asfiandy, Project Manager - Data Science at Pupuk shares how using the Data Cloud platform, the company has democratised access to its data, allowing everyone in the company to securely access and analyse data independently. In addition, Snowflakeʼs ease of use and near-zero maintenance means the Pupuk team can spend more time driving the business and less time on managing their data platform. https://okt.to/0PznRU #datacloud #customersuccess #casestudy #indonesia

DARJYO – an emerging #technology #startup with a focus on #artificialintelligence, #cloud and #quantumcomputing – has made a #strategic move into the #agricultural space, embracing the challenges and opportunities presented by the evolving world of #agritech.

DARJYO – an emerging #technology #startup with a focus on #artificialintelligence, #cloud and #quantumcomputing – has made a #strategic move into the #agricultural space, embracing the challenges and opportunities presented by the evolving world of #agritech.

#Topics Keeping an eye on your cattle using AI technology [ad_1] At Amazon Web Services (AWS), not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. We adopt a third-party perspective and objective judgment to help customers sort out their value propositions, collect pain points, propose appropriate solutions, and create the most cost-effective and usable prototypes to help them systematically achieve their business goals. This method is called working backwards at AWS. It means putting aside technology and solutions, starting from the expected results of customers, confirming their value, and then deducing what needs to be done in reverse order before finally implementing a solution. During the implementation phase, we also follow the concept of minimum viable product and strive to quickly form a prototype that can generate value within a few weeks, and then iterate on it. Today, let’s review a case study where AWS and New Hope Dairy collaborated to build a smart farm on the cloud. From this blog post, you can have a deep understanding about what AWS can provide for building a smart farm and how to build smart farm applicat...

For those who missed this webinar, check out Cropin's 'The AI Advantage for Agriculture' webinar where I explain the Plot Intelligence Module and Sustainability module featuring the #EUDR compliance as part of the Cropin Cloud Solutions. #yieldpredictability #eudr #agritech #ai #crophealth #harvestpredictions

https://lnkd.in/gNTM2BVk #coffee #ultrasonics The cloud migration of data engineering can learn a trick or two from these ;) 24hrs to 3 min ! That is 500 fold decrease in processing time!