Systems | Development | Analytics | API | Testing

October 2022

Snowflake's Retail Data Cloud

The retail and consumer packaged goods (CPG) industry is experiencing a global shift in how consumers, retailers, and brands interact. Long-term trends such as digitization and e-commerce, higher customer expectations, and supply chain transformation are accelerating. Businesses with a strong data foundation are rapidly adapting, and launching new digital capabilities and services.

From Data Engineering To Data Science To Producing Results For Today's Top Brands.

The simplicity of Snowflake—especially when it comes to scaling—is described by Nauman Hafiz, CTO of Constellation as a superpower. In this interview, Nauman sits down with Itamar Ben Hemo, CEO of Rivery, to discuss the impact of the data cloud on their business. They discuss moving from data engineering to data science, working with today's top brands, and freeing businesses to get the most value out of their data.

Extracting Maximum Value From All Of Your Company's Data

How can you activate all your company's data to deliver the maximum marketing value? In this interview, Hightouch's Founder and Co-CEO Kashish Gupta and Warner Music Group's Customer Intelligence Platform Director Tom Dinneny weigh in on this question and more. They discuss the value of separating compute and storage, current industry trends, and their partnership with Snowflake.

Unifying Data, Optimizing Campaigns In Real Time, & Taking Marketers To New Heights.

Data has become the center of nearly all our marketing decision-making. In this interview, Snowflake CMO Denise Persson sits down with Data Cloud Now host Ryan Green to discuss the impact of the Modern Marketing Data Stack. They discuss how this report, which examined more than 6000 customers' use of technologies and applications, has led to invaluable findings—and how it can help marketers soar to heights previously thought unimaginable.

Coherent Automates The Capture Of Spreadsheet Logic

Coherent Spark solves a common problem plaguing millions of Excel spreadsheet users: How to easily capture spreadsheet logic and bring it into the cloud to integrate it with modern systems? In this episode of “Powered by Snowflake,” Coherent Spark CTO Peter Roschke explains how the Spark platform takes advantage of the processing power of Snowflake to tackle that challenge. With Spark, the logic of Excel spreadsheets of any size or complexity, including enormous legacy spreadsheets containing millions of formulas, can be converted quickly into a cloud-compatible format capable of driving applications for all types of use cases.

Neustar Sets A New Bar For Accuracy In The Field Of Identity Resolutions

In this episode of “Powered by Snowflake” host Daniel Myers queries the mind of Neustar’s Head of Product and Customer Intelligence, Ryan Engle. Neustar is an Identity Resolutions Platform, responsible for powering more than 90% of caller ID in the United States. This conversation covers fascinating topics such as the challenges of sharing customer data in a highly regulated industry, how the Native Application Framework allows Neustar to work directly within their clients’ environments, and how Snowflake “auto-magically” keeps data fresh and up to date.

The Data Cloud & Public Sector With Deloitte

Welcome to Data Cloud Now, where we are dedicated to illustrating how the Data Cloud is pushing the possible forward, each and every day. In this episode we are exploring the impact it’s having within the public sector. Explore the impact the Data Cloud is having within the Public Sector with special guests Deloitte’s Monica McEwen & Frank Farrall along with Snowflake’s Jeff Frazier.

Developing More Accurate and Complex Machine-Learning Models with Snowpark for Python

Sophos protects people online with a suite of cybersecurity products. Hear Konstantin Berlin, Head of Artificial Intelligence at Sophos, explain how the Snowflake Data Cloud helps Sophos increase the accuracy of their machine-learning models by allowing data scientists to process large and complex data sets independent of data engineers. Through Snowpark, data scientists can run Python scripts along with SQL without having to move data across environments, significantly increasing the pace of innovation.

Power Your Lead Scoring with ML for Near Real-Time Predictions

Every organization wants to identify the right sales leads at the right time to optimize conversions. Lead scoring is a popular method for ranking prospects through an assessment of perceived value and sales-readiness. Scores are used to determine the order in which high-value leads are contacted, thus ensuring the best use of a salesperson’s time. Of course, lead scoring is only as good as the information supplied.