5 Reasons Businesses Are Using Google Cloud Platform For Artificial Intelligence
Google Cloud Platform (GCP) offers a wide scope of artificial intelligence (AI) and machine learning (ML) services. GCP services are proving to be effective for data-based innovation and new solutions. See why so many organizations are choosing GCP to motivate, manage, and make change easy.
1.Experimentation and cost saving
Google’s Onaway GCP reduces costs while offering enterprise flexibility with Google’s AI Platform Notebooks. Data scientists are critical to the success of AI and ML models, so empower your data scientists through the lifecycle. Key to any successful new strategy is flexibility and cost management. Juptyer Lab notebook instances give data scientists functional flexibility, with the ability to add CPUs, RAM, and GPUs to scale. The AI Platform Notebooks are pay-as-you-go and always available via the AI Platform.
2. Access and applications
Data silos across departments threaten reliability and business outcomes of data-based decision making. The GCP platform is built on a foundation of integration and collaboration. Developers can create custom models that integrate into applications and websites using Cloud Auto ML. It enables more than just data scientists to take advantage of AI services, databases, and tools.
Big Query Omni enables you to query data residing in other places using standard SQL with the powerful engine of Big Query. GCP is a new service from GCP.
3. ML Training and labs
Google Quik labs gives users temporary access to and AWS, to learn the cloud on the real thing, rather than simulations. Google also offers training courses ranging from 30-minute individual sessions, to multi-day sessions. Thousands of topics are covered, including AI and ML, security.
4. Data warehouse modernization and smart analytics at scale
Financial services organizations around the world are choosing Google Cloud Platform to transform their business operations, ensure operational resilience, and thrive in a digital, post-pandemic economy. Financial services organizations were hesitant to migrate to the cloud, primarily due to security and compliance concerns. Now, many financial institutions that were previously cloud-shy have become cloud champions.
5. Support for hybrid and multi-cloud environments
Anthos is a 100% software-based approach for hybrid and multi-cloud environments. Financial services firms often prefer hybrid environments because compliance mandates require certain workloads to be hosted on-prem. Anthos puts the enterprise in control, enabling them to run the right workloads at the right time.