Allyson Wilner’s Post

#Aerospike’s recent #funding breakthrough, led by Sumeru Equity Partners, signifies the shift in the data market towards #AI. According to Aerospike CEO Subbu Iyer, “they saw our vision around AI, they saw the platform and how it was built for real time performance at scale. They understand how it fits into the AI application landscape going forward. They also recognize that we are building out a very robust cloud portfolio.” #GrowthCompany https://lnkd.in/e_Mka299

We're taking another giant leap in shaping the future of AI and data innovation! Snowflake is teaming up with Anthropic to bring Claude—their cutting-edge foundation models—directly to the Snowflake Data Cloud. This collaboration means customers can now leverage Claude's AI capabilities securely and seamlessly within Snowflake's environment, unlocking powerful insights and enabling scalable AI/ML workloads—all without ever moving their data. As we continue to push boundaries in data and AI, partnerships like this showcase the limitless potential of a unified platform where innovation meets security and compliance. I'm thrilled to see how this will empower organizations to revolutionize their data strategies and drive real-world impact with AI. 💡 #Snowflake #AIDataCloud #Anthropic #Claude #AIInnovation #DataAnalytics #MachineLearning

Talking AI Data Pipelines... What's the best way to extract value from your data? 🔲 A) MOVE your data to a place where then you can extract value from it - Say, move it to a SaaS provider, hyperscaler, DWH in the cloud, etc. - Do this even as many times as steps in your pipeline exist. or 🔲 B) DON'T MOVE data, BUT, access it from any location, at any stage of the pipeline (prep, cleanup, training, inference), at any scale, at top speeds and with zero trust security. - Say, All and Any tools can access a "common" location, multi-protocol & cross-protocol, in a global name space; and include vectors, graphs, tables and file systems all in a single universal platform. If your answer is B. You need to learn more about #VAST 🚀 If you answer is A, You definitely need to learn more about #VAST 🚀 Corey Reagan Christopher Ginder Dennis Sheehan #DataPipelines #AI #DataPlatform #DataGravity

Databricks is one of the Most Innovative AI companies of 2024! I'm excited to share we’ve made the Fast Company list of the Most Innovative Companies for our work helping customers develop their own customized AI models and for the Data Intelligence Platform that enables a broader cohort of employees within companies to query their data. #databricksindia #databricks #databrickslearning #azuredatabricks #dataanalytics #dataandai #dataengineering #data #cloud

Ilya Billig and I chatted about all things Generative AI at Oracle and beyond. It is fascinating to observe the state of this technology and reflect on its societal and industrial impact. Things will only get more exiting from here. https://lnkd.in/g-YYuBv2 #futureishere #generativeai #oracle #oci

Watch my interview with Egor Pushkin, Chief Architect of Data and AI at Oracle Cloud, to gain insights on how Oracle is utilizing GenAI. Discover the current state of interacting with GenAI models and learn where new start-ups should focus their attention. Check out the interview now! #AI #DataScience #OracleCloud #GenAiRealityCheck

Watch our CEO, Lukas Biewald, on Data Cloud Now at Snowflake Summit Dev Day. Lukas discusses the importance of evaluation as companies productionize their GenAI apps and the best practices we’re hearing from Weights & Biases customers. Watch full interview: https://lnkd.in/gN6-nD7X

This is so important when considering AI in your environment. Is your data ready for AI? If you are curious Quest AI can help!! Please reach out if you're interested in learning more.

In the fast-paced world of IT, cloud sprawl has been a persistent headache for administrators. But fear not, #AI may just be the tool needed! Our Product Strategist, Sterling Wilson, dives into how AI could be the game-changer we've been waiting for in insideBIGDATA's latest “Heard On The Street” column. Businesses harnessing AI can help them navigate the cloud with finesse, slashing redundancies and conquering dreaded #storage fees. With continued AI integration, we may even see the resurgence of on-premises data!

Here's the deal... as companies seek to enhance their data security posture, the AI-driven solutions will also play a crucial role in addressing complex issues (excessive storage fees, data locality, etc.) and determining the optimal placement of data, whether in the cloud or on premises. Have you considered your data security posture and recovery scenarios? Object First