WinningEdge Solutions LLC’s Post

Are you wondering whether to opt for a closed ML platform or an open end-to-end solution? Let’s weigh up the options. 🤔 A closed platform provides an ecosystem that potentially enables seamless integrations across your entire stack. However, this would likely confine you to that ecosystem in what’s known as a “lock-in.” 🔒 On the other hand, open platforms allow you to easily swap components and leverage open-standard tools that can provide flexibility for your team and get them to adopt and use the tool without too much overhead. 💪 For example, Kubeflow enables users to swap out components easily, whereas that’s not the case with a closed solution like DataRobot (or Algorithmia). 🤖 When it comes to a managed or open-source ML platform, it all depends on the existing infrastructure and other build vs. buy decisions you have made. If your organization runs its workloads on Amazon Web Services (AWS), it might be worth leveraging AWS SageMaker. 🚀 So, how do you decide which solution to go for? Share your answer in the comments below! ⬇️ #mlops #e2e #platform #ecosystem

As an Amazon Web Services (AWS) user, you'll discover that TimeXtender seamlessly integrates to enhance your data management tasks. It streamlines the entire process from ingestion and transformation to modeling, driving efficiency and informed decision-making. For more details, please visit the page below: https://hubs.ly/Q02mhjjr0 #aws #datamanagement #timextender

As an Amazon Web Services (AWS) user, you'll discover that TimeXtender seamlessly integrates to enhance your data management tasks. It streamlines the entire process from ingestion and transformation to modeling, driving efficiency and informed decision-making. For more details, please visit the page below: https://hubs.ly/Q02D8lMj0 #aws #datamanagement #timextender

Join us for this free AWS Modern Data Strategy event on Wednesday, July 10 @ 1 pm ET! ✔️ Learn the AWS services needed to build an end-to-end data solution ✔️How these AWS services store, access, transform, analyze, and predict ✔️Use your data to make better, more informed decisions ✔️Respond faster to the unexpected and uncover new opportunities. Register here: https://bit.ly/3VBNc4D #AWS #AWSData #AWSCloud

Would you like to stay updated on last week's latest highlights and updates from #AWSSummit London? Our CEO, Chris Bunch, and Amazon Web Services (AWS) Partner Solution Architect, Bukky Gibson, have got you covered in our AWS Summit London re:cap. Discover valuable insights such as: 🚀1 in 3 AWS customers utilising AI 🚀Over 2 million customers use AWS database, analytics, machine learning, and AI services.  🚀100k customers are running machine learning workloads on AWS, including Global Enterprise, Start-ups & government. Don't miss out on the action; watch our re:cap video on YouTube! #AWS #AWSParter #D55 #cloudcomputing

Deep Dive into AWS CloudWatch: Unleashing the Power of Logs, Metrics, Alarms, and Dashboards #awscloud

At goML we are working on building LLM applications for enterprise usecases. Our team of Data Scientists & ML Architects are working on building some of these on Amazon SageMaker. Read how Amazon Web Services (AWS) gives us the right tools to finetune LLMs faster: https://lnkd.in/dEf5Fc-w #goml #amazonsagemaker #llm #genai

These services encompass a wide spectrum, ranging from robust computing, efficient storage, and dynamic databases to cutting-edge analytics, seamless networking, and the forefront of machine learning innovation. Stay locked in this #TechThursday as we embark on an exploration of some of AWS's hidden treasures. We'll uncover lesser-known gems within the AWS ecosystem that possess the potential to revolutionize and invigorate your business operations. #AWS #awstrivia