YouTube video by Peter Jönsson

YouTube video by Peter Jönsson

YouTube video by Peter Jönsson

Snowflake's Snowpark Connect streamlines Apache Spark analytics, cutting costs and boosting performance. Learn more!

(Reuters) -Snowflake raised its forecast for fiscal 2026 product revenue on Wednesday, banking on strong demand for its data analytics services, as enterprises prioritize artificial intelligence spending. Shares of the company were up 11% in extended trading. Snowflake is benefiting from the acceleration in AI software adoption and higher spending from enterprises looking to modernize data infrastructure. With more organizations beginning to explore their GenAI strategies and build GenAI-powered apps, analysts expect Snowflake to be a natural choice for customers looking to simplify AI stacks for analytics. The company expects annual product revenue of $4.40 billion, compared with its prior forecast of $4.33 billion. For the second quarter ended July 31, Snowflake posted product revenue of $1.09 billion, in line with estimates, according to data compiled by LSEG. Snowflake’s cloud-agnostic platform enables organizations to host and manage AI models from various cloud providers in a single, centralized environment. 3rd party Ad. Not an offer or recommendation by Investing.com. See disclosure here or remove ads. ProPicks AI analyzes thousands of stocks using 100+ institutional-grade financial metrics to identify the strongest opportunities. With 80+ strategies across global markets, you might be surprised where SNOW appears. Our flagship Tech Titans strategy doubled the S&P 500 within 18 months, including notable winners like Super Micro Computer (+185%) and AppLovin (+157%). Each strategy refreshes monthly with 10-20 high-conviction picks. Even if SNOW isn't currently featured, you'll discover similar opportunities in the same industry or theme—stocks the AI identifies before they breakout. Now up to 50% off while our Summer Sale lasts.

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Google Cloud Platform securely powers patient record and genetic data warehouse to personalize diagnosis and treatment, develop new therapies

Business intelligence (BI) platforms are critical in transforming data into actionable insights. As industries increasingly rely on large datasets to inform decisions, selecting robust analytics platforms becomes essential. Today, two major players stand out in this landscape—Azure Data Explorer (ADX) and AWS QuickSight. Here we delve into their capabilities, evaluate industry-specific scenarios, and highlight cost optimization and complexity reduction strategies. Finally, we will explore emerging analytics trends shaping future BI landscapes.