40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.

80% of data teams are facing challenges related to availability of tooling. Why? Modern data engineering is difficult and testing data engineering solutions is generally an ad-hoc, manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive. With this in mind, Unravel is hosting a live event to demonstrate how enhanced visibility and data-driven observability help you streamline your workflow, accelerate your data pipelines on the Databricks Data Intelligence Platform.

Today, 65% of IT decision-makers believe their company is falling behind the competition in using data and analytics. Why? Organizations want real-time insights, fraud/anomaly detection, trend analysis, and systems monitoring. The good news – data teams that use DataOps practices and tools will be 10 times more productive.With this in mind, Unravel is hosting a live event to share new capabilities to help you achieve productivity, performance, and cost efficiency with Databricks’ Data Intelligence Platform.

Right now, 55% of companies surveyed are failing to achieve time to value with their data and AI investments. Why? Their skilled engineers spend too much time doing toilsome work and optimizing data workloads for performance and efficiency is complicated. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity and performance with Snowflake. Watch this 15 minute live event about optimizing performance with data observability with Clinton Ford, VP of Product Marketing at Unravel and Eric Chu, VP of Product at Unravel.

Right now, 55% of companies surveyed are failing to achieve time to value with their data and AI investments. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel is hosting a live event to share a new IDC Analyst Brief about the role of data observability and optimization to enable AI-driven innovation and share how you can leverage Unravel to achieve productivity, performance, and cost efficiency for Snowflake.

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? Their skilled engineers spend too much time doing toilsome work and optimizing data workloads for performance and efficiency is complicated. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity and performance with BigQuery. Watch this 15 minute recording about accelerating data analytics with BigQuery with Clinton Ford, VP of Product Marketing at Unravel and Dave Berry, Principal Solutions Engineer at Unravel.

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel is hosting a virtual event to help you leverage Unravel to achieve productivity, performance, and cost efficiency with BigQuery.

Product Update: Boost Databricks productivity, performance, and efficiency Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and they are unable to optimize data workloads for performance and efficiency. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity, performance, and cost efficiency with Databricks.

GenAI and analytics are increasing demands on data teams. They need new ways to accurately forecast data cloud spend, improve efficiency, and increase automation. Organizations are increasingly turning to purpose-built AI to enable data observability and FinOps that dramatically accelerates time to launch new data products, increases spend predictability, and minimizes cloud waste.

In 2023, cloud service usage was supercharged to enable the creation and scaling of new products and services, to gain faster business insight, and to leverage the emergence of new technologies such as Gen AI. However, with cloud spending expected to increase by 20.4% in 2024, how are YOU ensuring inefficient code and underutilized cloud resources are not contributing to your overall costs?