Google Cloud announces AI and machine learning privacy commitment giving customers the strongest possible assurances of data privacy. Today we’re outlining how our AI/ML Privacy Commitment reflects our belief that customers should have both the highest level of security and the highest level of control over data stored in the cloud
More and more companies want to adopt the latest cloud-based artificial intelligence (AI) and machine learning (ML) technologies, but they are subject to an increasing array of data privacy regulations. This is an important concern for customers, who are interested in using AI and ML systems to drive better business outcomes while complying with new data privacy laws.
Today we’re outlining how our AI/ML Privacy Commitment reflects our belief that customers should have both the highest level of security and the highest level of control over data stored in the cloud. As Google Cloud CEO Thomas Kurian recently shared, we have heavily invested in providing customers with the capabilities they need to prevent unauthorized access to their data.
Google Cloud’s data analytics and AI and machine learning solutions can help SAP customers store, analyze, and derive insights from all their data in the cloud. You can shift your SAP applications to the cloud to take full advantage of a flexible, scalable solution that eliminates ongoing infrastructure maintenance costs; leverage BigQuery for your enterprise data to unlock new business value; integrate machine learning into business processes; or mix and match solutions to suit your needs now and in the future.
If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out.
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.
Forrester evaluated 12 notebook-based predictive analytics and machine learning solutions against a set of pre-defined criteria. In addition to being named a leader, Google Cloud received the highest possible score in eleven evaluation criteria including explainability, security.
Get started with some basic steps to machine learning on Google Cloud. Beginners guide to painless machine learning. Building AI-powered apps can be painful. I know. I’ve endured a lot of that pain because the payout of using this technology is often worth the suffering. The juice is worth the squeeze, as they say.