Data + AI Summit 1.0.0

Data + AI Summit 1.0.0

Databricks Inc. – Freeware – iOS
out of 5 votes
Latest Version
1.0.0
Safe to install

Data + AI Summit

Everything you need to know about Data + AI Summit 2022, the event organized by Databricks.

Welcome to the official Data + AI Summit application, your guide to maximizing your experience at the premier event for the data and AI community happening on June 27–30. Whether attending in person in San Francisco or virtually, these four days will feature enlightening keynotes from industry leaders, over 200 technical sessions, interactive training workshops, and ample networking opportunities with fellow professionals in the data and AI fields. Utilize the application to explore the comprehensive session lineup, craft a personalized agenda, navigate the venue with interactive maps, and access essential event details tailored to your needs. Ensure you enable real-time notifications to stay updated on sessions and events. Engage with peers by sharing comments, feedback, and images on the social feed during the conference. Seize the opportunity to participate in a Summit-themed scavenger hunt for a chance to win exciting prizes and Databricks merchandise! Start your journey by downloading the app now.

Overview

Data + AI Summit is a Freeware software in the category Business developed by Databricks Inc..

The latest version of Data + AI Summit is 1.0.0, released on 09/30/2024. It was initially added to our database on 09/30/2024.

Data + AI Summit runs on the following operating systems: iOS.

Users of Data + AI Summit gave it a rating of 3 out of 5 stars.

Pros

  • Offers a platform that combines data engineering, data science, and analytics in one unified environment.
  • Provides a collaborative workspace for teams to work together on big data and AI projects.
  • Simplifies the process of building and deploying machine learning models using its Databricks Runtime for Machine Learning.
  • Supports various programming languages such as Python, Scala, and R for data analysis and modeling.
  • Integrates with popular cloud providers like AWS, Azure, and Google Cloud for scalability and flexibility.

Cons

  • Can be costly for smaller organizations or individual users.
  • Requires some level of technical expertise to fully utilize its features and capabilities.
  • Limited customization options for advanced users who may prefer more control over their environment.
  • May experience occasional service disruptions or downtimes due to its cloud-based nature.

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