XONAI will be at #BigDataLDN next month! 🚀
Visit our stand X111 and chat with experts and see live demos of our engine accelerating Spark more than 3X.
#DataAnalytics#startups#London
Last week we announced $3.5M in seed funding led by @KadmosCapital to help more organizations reduce their #data infrastructure costs. 🚀
⚡️ Learn more in @BusinessInsider: https://t.co/s5mLumxazl
🎉 We're thrilled to announce we’ve raised $3.5M in a seed funding round led by @KadmosCapital! 💥
⚡️ Learn more about our mission to optimize data infrastructure and create the universal compute fabric on @techcrunch: https://t.co/qSMuG8IAGV
#cloudcomputing#finops#bigdata
⚡ Our co-founder @LeandroFVaz recently sat down with the Center for @DataInnovation to discuss XONAI's mission to help organisations deliver data insights faster.
👉 Read the interview: https://t.co/EApNqJImPW
#acceleratedcomputing#dataanalytics#cloud
What's keeping retailers from fully embracing #dataanalytics?
👉 An interview with 24 global retail executives reveals the 6 key factors holding them back:
https://t.co/qsFaTAqkWc @harvardbiz
In a 2022 survey, 82% of enterprises cited managing #cloud spending as their top cloud challenge– the first time in over a decade to rank above cybersecurity.💰
Why some CIOs are establishing internal teams to oversee their cloud spending: https://t.co/o8MvK9c6g0 @bellelin_@wsj
A new @Salesforce study revealed up to 41% of business leaders see a lack of understanding as a major barrier to unlocking the full potential of their #data assets. 📊
Why data skills spend is set to rise: https://t.co/KP1XbkKs4g @shubham_719 @venturebeat
The #retail world is changing, with #cloud, AR, VR, machine learning, computer vision, big data, and more.
Meet Anshu Bhardwaj, the exec behind @Walmart’s answer to #AWS. 🛒
https://t.co/Ug8wpEWT1X via @haydenfield@MorningBrew
As global markets enter challenging times, increasing the return on #cloud investments is as important as ever – with #FinOps teams ahead of the curve.
📄⚡️ The latest 'State of FinOps 2023' report: https://t.co/umpPiax8ci @finopsfdn
Uber has relied on its own data & server hardware since its launch in 2009.
Now it's moving its entire operation to the #cloud, claiming it will give it more resilient infrastructure.
👉 More from @RyanMorrisonJer in @TechMonitorAI: https://t.co/VK1WEP2YGl
Will 2023 be the year #FinOps shifts left toward engineering? 💸☁️
A look at why expectations for developers to become more aware and accountable for #cloudcomputing costs are increasing:
https://t.co/rRnjI2QX8K
@thenewstack | @ek121268
As big tech companies aggressively pursue investments & alliances with #AI startups through their #cloudcomputing arms, concerns are growing over their role in the battle to develop #generativeAI.
Read more 👉 https://t.co/85nx8UQFZb via @madhumita29@ft
To make the most of their data, enterprises need to reimagine their data management frameworks and facilitate the arrival of a nonlinear future. 🌎
A look at the enterprise’s path to non-linearity in data: https://t.co/33kftMeNh8 by @quentinclark of @generalcatalyst | @forbes
Amid data growth, #cloud complexity & demand for advanced automation, the data pipelines developed to satisfy the appetites of AI apps also serve observability tools. 🔎
More from @pariseautt in @techtarget: https://t.co/u7GVW3isu4
One company pioneering advanced #AI for longer than most is @IBM.
🗨️ @Ale_Curioni discusses IBM’s current projects in AI, quantum computing & more: https://t.co/V0xq95hEfc
🎧 Full discussion on the London Futurists Podcast by @cccalum@dw2: https://t.co/uIg2yosDSz
According to @Microsoft's CEO @satyanadella, as much as 10% of all data could be #AI-generated in just three years – leading to $7B+ in revenue for Azure, Microsoft’s cloud computing product.
💰 Microsoft's big bet on @OpenAI: https://t.co/DrjqUl0qaj
via @cademetz@kyweise