snowflake

AI-Powered Sales Assistant: The Future of Sales Productivity

Feb 24, 2025 By Anahita Tafvizi In Snowflake
Sales reps dedicate just two hours each day to active selling, according to HubSpot research. At Snowflake, our sales team found they were wasting 10 to 15 minutes searching for the right content every time they needed to answer a single question, like “Can you explain how Snowflake handles data integration from various sources?” Valuable content was scattered across different platforms, forcing employees to hop between various tools to assemble the right information.
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snowflake

Data Clean Rooms Explained: What You Need to Know About Privacy-First Collaboration

Feb 24, 2025 By Florian Delval In Snowflake
If you ask any advertiser about the most disruptive factor in recent years, they’ll probably hesitate between two contenders: privacy and AI. While AI is poised to have a transformative impact far beyond advertising in the future, one thing is certain: No organization today can address use cases involving consumer data without prioritizing privacy. Before we dive into the world of data clean rooms, let’s take a quick trip back in time to set the stage.
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Navigating the Modern Data Landscape in 2025

Feb 21, 2025 By Hevo In Hevo
In this webinar, industry expert will explore the latest trends in analytics, the growing impact of AI/ML, and the role of hybrid data infrastructures in modern data management. We’ll discuss the challenges of balancing legacy systems with modern cloud solutions and provide actionable insights to help organizations future-proof their data strategies. Whether you're looking to streamline data operations, enhance analytics capabilities, or align your data investments with business goals, this session will equip you with the knowledge to stay ahead in an ever-changing data ecosystem.
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External IDE Connectivity: Access Spark from Your Favorite IDE with Cloudera Data Engineering

Feb 21, 2025 By Cloudera In Cloudera
This demo showcases Cloudera Data Engineering's External IDE Connectivity, powered by the Spark Connect API. Data engineers can connect local IDEs like VS Code or Jupyter Lab to cloud clusters, run Spark workflows remotely, and sync code with GitHub. This feature enhances data engineering flexibility and productivity by streamlining CI/CD pipelines and enabling seamless synchronization between local and cloud environments, empowering downstream multi-functional analytics and AI.
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confluent

Building AI Agents and Copilots with Confluent, Airy, and Apache Flink

Feb 20, 2025 By Steffen Hoellinger In Confluent
From automating routine tasks to providing real-time insights to inform complex decisions, AI agents and copilots are poised to become an integral part of enterprise operations. At least that’s true for the organizations that can figure out how to supply large language models (LLMs) with real-time, contextualized, and trustworthy data in a secure and scalable way.
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hitachi vantara

Real-Time Redefined: Rethinking Kafka's Potential

Feb 20, 2025 By Michael Pacheco In Hitachi Vantara
When you’ve worked with data at scale, you come to appreciate the beauty and the complexity of systems like Kafka. With nearly 30 years of experience navigating the evolution of technology and data platforms, I’ve seen firsthand how Kafka has revolutionized real-time data processing - and where it can challenge even the best teams. The real question is: How do you move past those challenges to unleash everything Kafka has to offer?
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Feature Spotlight - Power Up with Astera's Custom API Connectors | Astera Data Pipeline Builder

Feb 19, 2025 By Astera In Astera
Our new weekly series uncovers Astera Data Pipeline Builder’s most powerful capabilities. First up: Effortless Data Connectivity with Astera! Watch how Astera lets you quickly connect to 100+ data sources. Whether you’re leveraging our powerful pre-built connectors or building custom API connections, integrating your data has never been this easy or flexible. Connect to any platform, anywhere, anytime.
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confluent

A Distributed State of Mind: Event-Driven Multi-Agent Systems

Feb 19, 2025 By Sean Falconer In Confluent
This article was originally published on InfoWorld on Jan. 28, 2025 While large language models (LLMs) are useful, their real power emerges when they can act on insights, automating a broader range of problems. Reasoning agents have a long history in artificial intelligence (AI) research—they refer to a piece of software that can generalize what it has previously seen to apply in situations it hasn’t seen before.
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