Home » Shaping Futures » Google Looks to Accelerate AI App Development and Deployment

Google Looks to Accelerate AI App Development and Deployment

Google is trying to make it simpler for organizations to build and maintain AI applications at a time when there is often a disconnect between data scientists and the rest of the IT organization.

Google revealed it has embarked on a multi-prong effort to make it simpler to build and successfully deploy artificial intelligence (AI) applications faster.

A revamped set of tools for building conversational interfaces, rechristened Dialogflow CX, now makes it possible to construct omni-channel customer support engagement typical of a large contact center. Google has made available an Agent Assist module that can be employed now over both online chats and traditional voice calls and is making available in beta the ability to create unique voices using the Text-to-Speech application programming interface (API) exposed via Google Cloud.

Google is also moving to accelerate adoption of AI within specific vertical industry segments by making available Lending DocAI, an instance of its Document AI services for the mortgage industry that speeds up loan processing, and Procure-to-Pay DocAI, a service available in beta that automates procurement processes.

At the same time, Google is moving to make it simpler to build and deploy AI applications by adding a managed service for AI Platform Pipelines constructed using an instance of open source Kubeflow software for Kubernetes clusters that Google makes available on its cloud platform. AI Platform Pipelines promises to enable IT teams to automate machine learning operations (MLOps) in much the same way DevOps engineers rely on pipelines to create repeatable processes that accelerate the development and deployment of applications.

Google also committing to improving MLOps on its cloud by providing tools to evaluate the efficacy of AI models constructed data scientists along with tools to experiment with models and more easily track metadata attached to specific software artifacts.

The original article can be found here.

According to Artificial Intelligence World Society Innovation Network (AIWS.net), AI can be an important tool tfor helping people achieve well-being and happiness, relieve them of resource constraints and arbitrary/inflexible rules and processes. In this effort, Michael Dukakis Institute for Leadership and Innovation (MDI) invites participation and collaboration with think tanks, universities, non-profits, firms, and other entities that share its commitment to the constructive and development of full-scale AI for world society.