Google Cloud Platform

Committed to open source, industry leading, scalable performance at a great price point: we believe Google Cloud is the ultimate platform to take your data to the next level. At Agiliz, we use the platform to support and boost your data approach. Fully committed or only the essentials, we look at what suits your needs best.

Best-in-Class Security

We deliver end-to-end security solutions. Starting at the data center, all the way to the device with a purpose-built infrastructure and security by default. Here a few proof points: – Secure by design One of the largest privately managed networks, minimizing the risk of customers being exposed to the public internet. – Data protection Redact sensitive data with 90+ predefined detectors. – Secure by default The only cloud that encrypts data at rest by default.

Embedded Artificial Intelligence (AI) / Machine Learning (ML)

Google Cloud embeds intelligence everywhere, making it easier for you to apply artificial intelligence and machine learning to your organization. Here are a few proof points: – Democratize AI / ML AutoML and BigQuery ML enable teams without data scientists to use AI / ML with unique capabilities that its competitors don’t offer. – Depth of AI / ML Cloud Speech offers 120+ language variants, more than AWS or Azure. – Accelerate time to decision Google TPUs are 15-30 times faster than contemporary GPUs and CPUs.

Hybrid and Multi cloud

Google Cloud believes in an open cloud. We have designed Google Cloud to support whatever system suits our customer’s needs best — whether hybrid or multi cloud or anything in between. Here are a few proof points: – Innovative hybrid and multi-cloud platform Only Anthos enables application deployment and management on-premises across clouds. With 100% software solution and no hardware lock-in. – Versatility Google Cloud’s Apigee API management platform enables enterprises to connect legacy and modern workloads more easily in hybrid and multi-cloud environments. – Avoid lock-in with open source Google is the #1 contributor to the Cloud Native Computing Foundation. It’s also the creator of Kubernetes, which has been adopted by AWS and Azure.

Cloud Dataflow, a fully managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness. Cloud Dataflow’s serverless approach frees you from operational tasks like capacity planning, resource management and performance optimization, while you only pay for what you use. Plus, Cloud Dataflow not only works with Google’s ingestion, data warehousing, and machine learning products, but also third-party tools like Apache Spark and Apache Beam.

Cloud Data Fusion is a fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. With a graphical interface and a broad open source library of preconfigured connectors and transformations, Cloud Data Fusion shifts an organization’s focus away from code and integration to insights and action.

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology.

A serverless, highly scalable and cost-effective cloud data warehouse designed to help you make informed decisions quickly. So you can transform your business with ease.

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