TRENDING
“ Conversational apps are on the rise because that ’ s the way humans are programd to interact . And now it is even easier to interact conversationally with an application ,” said Jennifer Belissent , Principal Data Strategist , Snowflake .
“ We expect to see this trend continue as it becomes easier to build and deploy conversational LLM applications , particularly knowing that the underlying data remains well governed and protected . With that peace of mind , these new interactive and highly versatile chatbots will meet both business needs and user expectations .”
The report also shows that 20,076 developers from Snowflake ' s Streamlit community of developers have built over 33,143 LLM apps in the past nine months .
When it comes to developing AI projects , Python is the programming language of choice due to its ease of use , active community of developers , and vast ecosystem of libraries and frameworks .
In Snowpark , which enables developers to build apps quickly and cost-effectively , the use of Python grew significantly faster than that of Java and Scala in the past year – Python grew by 571 %, Scala by 387 % and Java by 131 %.
With Python , developers can work faster , accelerating prototyping and experimentation – and therefore overall learnings as developer teams make early forays into cutting-edge AI projects .
In terms of where application development is taking place , the trend is towards programming LLM applications directly on the platform on which the data is also managed .
This is indicated by a 311 % increase in Snowflake Native Apps – which enables the development of apps directly on Snowflake ’ s platform – between July 2023 and January 2024 .
Developing applications on a single data platform eliminates the need to export data copies to third-party technologies , helping develop and deploy applications faster while reducing operational maintenance costs .
With the adoption of AI , companies are increasing analysis and processing of their unstructured data .
This is enabling companies to discover untapped data sources , making a modern approach to data governance more crucial than ever to protect sensitive and private data .
The report found that enterprises have increased the processing of unstructured data by 123 % in the past year .
IDC estimates that up to 90 % of the world ' s data is unstructured video , images and documents . Clean data gives language models a head start – so unlocking this untapped 90 % opens up a number of business benefits .
“ Data governance is not about locking down data , but ultimately about unlocking the value of data ,” said Belissent .
“ We break governance into three pillars : knowing data , securing data and using data to deliver that value . Our
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