In the era of big data and AI , enterprises face the challenge of managing vast quantities of data safely and securely while developing applications of that data that help them win .
Snowflake ’ s platform has emerged as a critical enabler for making AI within businesses relatively easy , trusted , and efficient .
Helping enterprise customers understand what these cloud offerings can bring to their business is Corey Cummins , Director of UK & I Partners at Snowflake .
“ My role as head of UK Alliances is really looking at how our partner ecosystem helps customers adopt and drive a Data and AI strategy , with Snowflake at the core of this vision ,” he explains .
Snowflake ’ s cloud solutions
Snowflake has long helped customers make the most of their data . Today , this means focusing on helping enterprises adopt Gen AI , which Corey notes has huge promise but is not without challenges . Most AI projects never make it to production due to the challenges of “ security , governance and costs ”.
Snowflake ’ s platform addresses these pain points by providing a solid data foundation with built-in governance .
Snowflake ’ s AI and ML capabilities are “ easy , efficient and trusted ”. The AI Data Cloud integrates various capabilities , governance ,
cross-cloud data collaboration , Enterprise AI , and Snowflake ML for machine learning tools and app development capabilities .
Partnerships building the platform
Partnerships are crucial to Snowflake ’ s strategy as the company grows . Partners facilitate pipeline growth , strategy development , delivery , and implementation that leads to a better customer experience .
Corey highlights their partnership with Kubrick as an example of helping companies ensure project success . Such partnerships are crucial for Snowflake , given the complexity of its product and its goal to reach revenues of US $ 10bn by 2029 .
A secure foundation for AI ’ s future
Snowflake has a focus on best-in-class AI go-to-market strategy , helping customers transition from on-premise to cloud and further to using Gen AI for growth and scaling .
This comes from a deep understanding of the wants of the market and its customers .
“ Everybody ’ s talking about Gen AI and wants to get on board ,” Corey concludes . “ But you really need to take a step back and make sure that you have the right data foundations to really move forward .”
This encapsulates Snowflake ’ s approach : providing the secure , efficient foundation necessary for enterprises to fully leverage AI ’ s potential .