Deploy open source LLM in your private cluster with Hugging Face and GKE Autopilot
Deploying Language Model (LLMs) based applications can present numerous challenges, particularly when it comes to privacy, reliability and ease of…
Read moreBusinesses across industries are using advanced data analytics and machine learning to revolutionize how they operate. From detecting anomalies to centralizing data platforms and enhancing user engagement, these real-world success stories highlight the transformative impact of innovative data strategies.
In this post, we share three inspiring customer stories that demonstrate how cutting-edge solutions have solved complex challenges, streamlined operations, and unlocked new opportunities. Let’s dive into these impactful case studies!
Truecaller, a leading global communications app, turned to machine learning for a unique approach to anomaly detection in their daily analytics processes. Key highlights from this story include:
This blog provides actionable insights for organizations looking to modernize their data monitoring and analytics workflows using machine learning.
ING, a global financial institution, embraced a platform-focused approach to centralize data sources and make analytics accessible to all stakeholders. This transformation was driven by the need for faster, more reliable insights. Key takeaways include:
If you’re looking for ways to streamline your data operations and empower your team with accessible analytics, this story is a must-read.
Play, a major telecom provider, leveraged advanced data analytics to enhance customer experiences and improve user engagement. This story highlights how Play used data-driven strategies to stay competitive in a fast-paced market. Key points include:
This blog is perfect for organizations looking to unlock the value of their data to enhance customer satisfaction and business performance.
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Explore these success stories now and see how innovative solutions can help your organization thrive in today’s competitive landscape!
Deploying Language Model (LLMs) based applications can present numerous challenges, particularly when it comes to privacy, reliability and ease of…
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Read moreStreaming analytics is no longer just a buzzword—it’s a must-have for modern businesses dealing with dynamic, real-time data. Apache Flink has emerged…
Read moreThe adage "Data is king" holds in data engineering more than ever. Data engineers are tasked with building robust systems that process vast amounts of…
Read moreIn a lot of business cases that we solve at Getindata when working with our clients, we need to analyze sessions: a series of related events of actors…
Read moreSQL language was invented in 1970 and has powered databases for decades. It allows you not only to query the data, but also to modify it easily on the…
Read moreTogether, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.
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