Between soaring material costs and the impact of inflation, the construction industry has had to practice extra agility and resilience in recent years. Market upheaval, including skills shortages and supply chain disruptions have made financial reporting in the construction industry even more challenging. Manually exporting data into static spreadsheets adds another roadblock–when reports are manually exported or input, information grows stale quickly.

ThoughtSpot is taking Snowpark use cases to the next level with generative AI, connecting the dots between ML-powered insights and business action. If you’re new to Snowpark, this is Snowflake’s set of libraries and runtimes that securely deploy and process non-SQL code including Python, Java, and Scala.

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. We have been making it easier and faster to build and manage ML models with Snowpark ML, the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake.

Effective data visualization is an important aspect of creating impactful and actionable reflections of key metrics in today’s business environment. Our five key takeaways are: This piece explores data visualization best practices and core principles, from integration to analysis, and the skills you need to create stunning dashboards, breathe life into your KPIs, and discover the secret to designing data visuals that shine.

Across the industry, organizations are attempting to find ways to implement generative AI in their business and operations. But doing so requires significant engineering, quality data and overcoming risks. In this blog post, we show all the elements and practices you need to to take to productize LLMs and generative AI. You can watch the full talk this blog post is based on, which took place at ODSC West 2023, here.

Your opportunity to create a loyal fanbase is locked behind disparate data silos. It’s time to call an audible.