Systems | Development | Analytics | API | Testing

Snowflake's Annual Modern Marketing Data Stack Report: Being Named a "Leader in Integration and Modeling" is Just the Beginning

With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good data around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.

Power Holistic Customer Insights with Salesforce and Snowflake Data Sharing-Based Integration

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

SaaS in 60 - Expression Generator

Insight Advisor Expression Generation - As we expand the breadth and depth of our Insight Advisor AI-assistant capabilities, we now offer auto-generated expressions in the expression editor driven by natural language processing. Users seeking to create analytics expressions, including complex set analysis, can simply describe what they want to calculate and Insight Advisor will generate the expression to use. This powerful capability delivers on the promise of AI, making the complex simple and allowing more people to expand their data literacy.

Staige AI-Enhanced - Spark Your Own AI Innovations

Qlik Staige, a unified strategy to provide AI-enhanced solutions to enterprises while confidently embracing the power of Artificial Intelligence (AI). Qlik Staige helps customers innovate and move faster by making secure, governed AI and automation part of everything they can do with Qlik – from experimenting with and implementing generative AI models, to developing AI-powered predictions to improve future outcomes, to driving better insights into their business.

Not All Natural Language Query (NLQ) Models Are Created Equal: Part 3 - Power BI Q&A

In part one of this series, we discussed the evolution of Yellowfin’s Guided NLQ solution and focused on aspects of Guided NLQ that stand apart from the competition. In part two, we then compared Guided NLQ to Sisense's equivalent NLQ solution, Sisense Simply Ask. In part three, we will look deeper at another competitor’s NLQ offering, Microsoft Power BI and its Q&A feature.

A Hybrid, Open Data Lakehouse That Can Handle it All

Open more possibilities with an open data lakehouse. As the industry’s first open data lakehouse, Cloudera Data Platform delivers scalable performance and efficiency to enable smarter business decisions—paving the safest, fastest path from data to AI. Cloudera, together with Intel and HPE, can power analytics and AI at scale across any CSP or private cloud infrastructure.

Red Hat + Cloudera | A Hybrid Data Platform for Generative AI for FSI

Red Hat and Cloudera have joined forces to enable customers to take advantage of the cloud with full confidence, especially in the financial services industry, where data protection is critical. Red Hat Payment Industry Lead, Ramon Villarreal describes how collaborating with Cloudera provides leading financial services organizations with data resiliency, performance and expedited time to market as they leverage the cloud to move and manipulate massive amounts of data.

How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But in highly regulated industries where these technologies may be prohibited, the focus is less on off the shelf generative AI, and more on the relationship between their data and how AI can transform their business.