AI use cases in {industry}
Flashpoint uses Gemini for Google Workspace to improve efficiency and productivity across its workforce, allowing employees to focus on the work that counts. They incorporate generative AI into workflows to enhance communication, ideation, research, and coding.
Exabeam has built a generative AI copilot for security analysts into its New-Scale Security Operations Platform.
NetRise developed Trace to provide software supply chain security by introducing AI-powered intent-driven searches, allowing users to search their assets based on the underlying motives or purposes behind the code and configurations rather than solely relying on signature-based methods.
Palo Alto Networks is using Gemini to create a grounded AI assistant for 24/7 security platform support to improve agent efficiency and response time.
ADT is building a customer agent to help its millions of customers select, order, and set up their home security.
Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.
Palo Alto Networks’ Cortex XSIAM, the AI-driven security operations platform, is built on more than a decade of expertise in machine-learning models and the most comprehensive, rich, and diverse data store in the industry. Backed by Google's advanced cloud infrastructure and advanced AI services, including BigQuery and Gemini models, the combination delivers global scale and near real-time protection across all cybersecurity offerings.
Behavox is using Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally.
Netsafe, a nonprofit organization, uses Meta Llama models to develop a robust redaction tool for harmful digital communications. The tool employs a tuned LLM and the AI4Privacy dataset to automatically redact sensitive information, facilitating faster and more effective harm resolution. Netsafe's data pipeline, built on Dagster, Postgres, and BigQuery, sources, redacts, and aggregates data from various channels, reducing victim impact and augmenting the skills of Digital Harm Resolution Officers.
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