There’s a lot to track when training your ML models, and there’s no way around it; reviews and comparisons for best performance are virtually impossible without logging each experiment in detail. Yes, building models and experimenting with them is exciting work, but let’s agree that all that documentation can be laborious and error-prone – especially when you are essentially doing data entry grunt work, manually, using Excel spreadsheets.
If you are a software engineer, there's a good chance that deep learning will inevitably become part of your job in the future. Even if you're not building the models that directly use CNNs, you might have to collaborate with data scientists or help business partners better understand what is going on under the hood. In this article, Julie Kent dives into the world of convolutional neural networks and explains it all in a not-so-scary way.
Some time ago, the concept of event streaming was not that widespread. In addition to that, the platforms provided were much fewer than today, and required more technical depth to set up and operate. However, as time passed, those platforms matured, community grew, the documentation was improved and the rest of the world started to wake up to the advantages these platforms can bring to address the real-time experiences businesses need. And Apache Pulsar is a great example.
The world has turned upside down. You don’t need me to tell you that. And, thanks to weeks of working from home, a new way of working may be upon us when we flip back. Many are seeing this period as a pivotal time in changing the way many organisations will function. Business has seen first hand that it can run effectively with many of its people working remotely.
It’s only natural to edge forward incrementally. But every once in a while, there is a step-level change that really alters the game. The Data Cloud is exactly that – an opportunity to completely mobilize your data in the service of your business. The Data Cloud is a new type of cloud, so you can avoid bunkering and siloing your data across the infrastructure and application clouds, as well as your on-premise systems.
At Snowflake, we are relentlessly focused on our customers and on creating innovative technology to better serve their needs. Today marks another milestone where we demonstrate such focus. In this blog, I detail the latest innovations to our cloud data platform. These new features make even more powerful all six data workloads enabled by our platform – data warehouse, data lake, data exchange, data applications, data engineering, and data science.
The ingredients of competitive advantage and differentiation tend to evolve over time. Throughout history they have included access to capital, raw materials, labor; they have been based on economies of scale and economies of scope. At IDC, it is our contention that the new basis for differentiation will be economies of intelligence.
