DATA TRENDS 2024

선도적인 기업이 고급 AI 기반을
성공적으로 구축하는 방법

AI는 빠른 속도로 발전하고 있으며, 새로운 기술이 거의 매일 개발되고 있습니다. 성공을 거둔 기업은 강화된 데이터 거버넌스 문화를 통해 AI를 효과적으로 활용하는 방법을 파악하고 있습니다. Snowflake는 새로운 전략에 대해 알아보기 위해 9,000곳 이상의 Snowflake 고객사* 계정을 검토하여 해당 기업들이 강력한 데이터 파운데이션을 구축하고 AI 분야에 첫걸음을 내딛기 위해 데이터 클라우드를 어떻게 활용하는지에 대해 조사를 실시했습니다.

점점 더 데이터 중심으로 변해가는 환경에서 ‘데이터 동향 2024’ 보고서에서는 선도적인 기업들이 고급 AI의 성공 기반을 구축하는 일곱 가지 방법을 소개합니다.

Snowflake 데이터 동향 2024 보고서를 다운로드하여 다음 내용을 확인하세요.

  • 최신 거버넌스로 견고한 데이터 파운데이션 구축하기
  • AI 접근성 향상하기
  • 데이터 및 AI 채택 관련 패턴 및 동향 파악하기

보고서 다운로드

Key Trends From Customer Data

70% +

INCREASE

in the use of data governance features used.

9000

CUSTOMERS*

using the Data Cloud To Build A Foundation For AI.

33,000

LLM BASED APPS

worked on in the Streamlit Community.

 

지금 읽기

CEMENTING THE
DATA FOUNDATION

Organizations are focusing on their foundational data technology including how: 

  • Governance drives value: Enterprises doubled the use of key governance features in the Data Cloud — and increased their use of that data by nearly 150%.
  • AI-friendly Python is the language of choice: Easy-to-use, community-driven Python grew more than 500% in a year. Coincidentally, it’s a language that suits AI development extremely well. 

Making
AI ACCESSIBLE

Experimentation abounds, but the potential of AI still remains largely untapped. Learn how first movers are forging ahead across the Data Cloud ecosystem. Trends include:

  • LLM-based apps are exploding: In just one year, more than 20,000 developers worked on 33,000 LLM-based apps in the Streamlit community.
  • Everybody loves a chatbot: Of the LLM-based apps (this includes apps still in development) in Streamlit, the percentage that are chatbots, rather than simpler, single-input AI tools, is rising fast.

 

지금 읽기

  • Methodology

    The Snowflake Data Trends Report 2024 is generated from fully aggregated, anonymized data detailing usage of the Snowflake Data Cloud and its integrated features and tools. In this report, we examine patterns and trends in data and AI adoption across more than 9,000 global Snowflake accounts. The Snowflake Data Cloud provides insight into the state of data and AI, including which technologies are the fastest growing. Note that usage attributable to internal consumption, if any, has been removed and is not reflected in any of the metrics contained herein. The accounts and usage reflected in this report represent every major industry and include both longtime Snowflake users and others who only recently joined the Data Cloud.

    Except where noted in the text, the data in this report compares monthly averages from January 2024 (represented as “this year”) to averages in January 2023 (“last year”). When compared, this is depicted as “year over year” growth to align with Snowflake’s fiscal year end, though the figures themselves are only representative of January figures to calculate growth.

    When possible, we have provided these year-over-year comparisons to showcase growth trends over time. Where data was drawn from Snowflake features that became publicly available after the start of the fiscal year, data was collected and compared as of the first full month after which the feature became available in public preview, and that date is noted in the text. Notably, growth figures for features moving into public preview are expected to be considerably higher, as private previews are limited in scope and necessarily restricted to select Snowflake customers.