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Analytics

The Modern Data Ecosystem: Choose the Right Instance

There are several ways to optimize cloud storage, depending on your specific needs and circumstances. Here are some general tips that can help: Overall, optimizing cloud storage requires careful planning, monitoring, and management. By following these tips, you can reduce your storage costs, improve your data management, and get the most out of your cloud storage investment.

Integrate.io vs. Monte Carlo

In today's fast-paced world, businesses generate massive amounts of data every second. With the sheer volume of data being produced, it's becoming increasingly difficult to monitor, detect and troubleshoot errors in real time. That's where data observability solutions come into play. Two of the most popular tools in this space are Integrate.io and Monte Carlo.

Introducing ClearGPT from ClearML

The first secure, enterprise-grade generative AI platform We have an exciting announcement! On Thursday, May 18, we released ClearGPT, the first generative AI platform that transcends enterprise ChatGPT challenges. ClearGPT is the only secure, enterprise-grade platform offering state-of-the-art LLMs, tailored to your business data and running securely on your network, to power enterprise AI transformation. Prefer to watch the 2-minute video and see how it works? Watch now.

Amazon Redshift ETL - Top 3 ETL Approaches for 2023

Amazon Redshift is a completely managed Data Warehouse, offered as a cloud service by Amazon. It can scale up to petabytes of data and offers great performance even for complex queries. Table of Contents Its columnar nature with Postgres as the querying standard makes it very popular for analytical and reporting use cases. These days it is very common to use Amazon Redshift as the backbone Data Warehouse for highly reliable ETL or ELT systems.

Data-Driven Decision-Making in Utility Sector

For the past 25+ years, Kirk Mower, Cyber Security and Data Integrity Leader at TasNetworks, has been on a mission to scale Data-Driven Decision Making in a sector marked by the vast amount and complexity of data - Australian Utilities Space. In this engaging fireside chat, Kirk talks about the significance of data in the utility sector, his role as a data leader, and his thoughts on the Modern Data Stack. Check out this delightful data talk on our new show - Mavericks of Data.

Generative AI for the Enterprise

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, where it set the record for the fastest-growing user base, reaching 100 million users in just 2 months after its launch.

Introducing the Snowflake Connector for ServiceNow analytics

In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp, a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.

ThoughtSpot Sage: data security with large language models

With the recent announcement of ThoughtSpot Sage, we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction.

5 essential steps to building great data products

There are millions of data products out there, some successful and others…less so. But the truly standout data products are the ones that change users’ behavior. You know you’ve built something special when your users start forming habits around your product. The question is, how do you create something that stands out in a sea of data products? We believe it comes down to one thing: a relentless focus on delivering user value.