Systems | Development | Analytics | API | Testing

Snowflake's AI Data Cloud for Energy: Success Strategies for Oil & Gas and Power & Utilities Transformation

Energy, the driver of the global economy, is undergoing one of the largest secular shifts of our time, propelled by hundreds of trillions of dollars in global investment in the next 25 years. This shift creates a tremendous opportunity for energy companies. And, at the heart of successfully navigating this change sit data and AI.

The AI Gateway Pattern: Adopt AI and Multi-LLM Strategies in a Secure and Governable Way

The AI Gateway Pattern enables organizations to adopt and securely govern AI technologies like large language models (LLMs) at scale. Acting as a centralized control plane, it streamlines data flow into AI models, ensures proper data handling and compliance, and simplifies the management of multiple LLMs. This architectural pattern empowers organizations to leverage AI’s strengths while mitigating risks, maintaining performance, and adapting to evolving technologies.

Data Actionability: Speed Up Analytics with Unravel's New Data Engineering AI Agent

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel introduces the new Data Engineering AI Agent in this recording. Learn how this new AI agent enables teams to go beyond observing data pipelines and code to taking immediate action with purpose-built AI and automation.

4 Ways Gen AI Can Help Brand Advertisers and Ad Agencies Engage Consumers

Uncertainty is the new norm for today’s brand advertisers and advertising agencies. Google has once again changed its stance on third-party cookies, keeping them for at least the time being. With the future of cookies still uncertain, many advertisers have already been preparing to use alternative targeting strategies, such as first-party data and contextual targeting.

AI Challenges and How Cloudera Can Help

By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.

Build an AI Voice Chatbot with GPT, DALL·E and React Native

The relentless rise of ChatGPT and other Large Language Models has brought a major breakthrough in the world of artificial intelligence. With key industry players like Meta, Google, Nvidia and Microsoft competing fiercely to dominate this space, it’s likely we’ve only seen the start of the innovation. Several big companies have made their AI Models and platforms available for the public to use and build on.

OWASP AI Security Project: Top 10 LLM Vulnerabilities Guide

Artificial intelligence (AI) is kind of a big deal. And when things are a big deal, they're ripe to be exploited. Fortunately, mounting concerns about AI security and privacy are met by plenty of guidance on best practices from the good folks in the open source world. The OWASP AI Security Project has emerged as a crucial initiative, offering developers clear, actionable guidance on designing, creating, testing, and procuring secure and privacy-preserving AI systems.

Appian 24.3 Highlights

Appian brings #orchestration, #automation, and #intelligence together in a secure, performant platform for managing your most complex processes. The latest release of the Appian Platform delivers practical enterprise AI use cases with expanded compliance to help developers build faster, business users work smarter, and organizations prepare for AI regulations.