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The Future of Data Management Is Agentic AI

Snowflake

Managing and utilizing data effectively is crucial for organizational success in today's fast-paced technological landscape. The vast amounts of data generated daily require advanced tools for efficient management and analysis. Enter agentic AI, a type of artificial intelligence set to transform enterprise data management.

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Snowflake’s Fully Managed Service: Beyond Serverless

Snowflake

. "Serverless computing" has enabled customers to use cloud capabilities without provisioning, deploying and managing either hardware or software resources. Snowflake has embraced serverless since our founding in 2012, with customers providing their code to load, manage and query data and us taking care of the rest.

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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

Additionally, multiple copies of the same data locked in proprietary systems contribute to version control issues, redundancies, staleness, and management headaches. It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution.

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Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

DataKitchen

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? We’ve identified two distinct types of data teams: process-centric and data-centric. Process-centric data teams focus their energies predominantly on orchestrating and automating workflows. They work in and on these pipelines.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. Check out the agenda and register today at Neo4j.com/NODES.

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X-Ray Vision For Your Flink Stream Processing With Datorios

Data Engineering Podcast

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. Support Data Engineering Podcast Summary Streaming data processing enables new categories of data products and analytics.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

Our esteemed speakers will discuss the emerging trends shaping the future of product management and business intelligence. We’ll explore how recent developments are impacting strategic planning and decision-making processes, as well as practical strategies to leverage these trends to the benefit of your organization.

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How to Optimize the Developer Experience for Monumental Impact

Speaker: Anne Steiner and David Laribee

As an innovative concept, Developer Experience (DX) has gained significant attention in the tech industry, and emphasizes engineers’ efficiency and satisfaction during the product development process. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. The Future of Product Management 🔮 How to continuously integrate AI into your work to stay ahead of emerging trends and technologies.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in.

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How to Find and Test Assumptions in Product Development

Assumptions mapping is the process of identifying and testing your riskiest ideas. Watch this webinar with Laura Klein, product manager and author of Build Better Products, to learn how to spot the unconscious assumptions which you’re basing decisions on and guidelines for validating (or invalidating) your ideas.