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Cloud Analytics Powered by FinOps

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations—mainly data centers—has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

Collect Logs and Traces From Your Snowflake Applications With Event Tables

We are excited to announce the general availability of Snowflake Event Tables for logging and tracing, an essential feature to boost application observability and supportability for Snowflake developers. In our conversations with developers over the last year, we’ve heard that monitoring and observability are paramount to effectively develop and monitor applications. But previously, developers didn’t have a centralized, straightforward way to capture application logs and traces.

Think Like a Data Scientist: The Importance of Building a Data-Driven Company Culture

We’ve all heard that data helps businesses make better decisions. The good news? This isn’t just speculation: research shows that companies who use data to drive decision making increase revenues by an average of more than 8%, are 23 times more likely to attract new customers, and are 19 times more likely to be profitable as a result.

How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

A patient interaction turned into clinician notes in seconds, increasing patient engagement and clinical efficiency. Novel compounds designed with desired properties, accelerating drug discovery. Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas.

Is Shadow IT a nuisance, or does Shadow IT lead the way?

When people feel dissatisfied with the tools they are provided, it’s not uncommon for them to seek their own. This phenomena is called shadow IT and it can disrupt the trust between data leaders and business stakeholders. So what should companies do? Benn Stancil, Field CTO of Thoughtspot, believes tooling is a preference, but there needs to be some standardization so that trust does not deteriorate within the team.

Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Together, predictive analytics and AI can help application teams by streamlining processes, generating personalized recommendations, and creating a more intuitive and efficient user experience.