The next generation of disruptive technology has arrived and is ready to deploy. The time is now to identify how your organization can reap the benefits of generative artificial intelligence, explore use cases, and get started on your strategy. We’re excited to show you what’s on the horizon.
START USING GENERATIVE AI TODAY
Generative AI from any starting point
Get up to speed on LLMs, fine-tuning, hallucinations, and an AI landscape that includes Bard, ChatGPT, HuggingFace, and beyond. Whatever your starting point, we’ll orient you to what’s coming and–better yet–what’s possible.
AI solutions for your unique business
Learn from use cases most relevant to your business and industry. Implement Generative AI solutions in every department beyond IT, including Marketing, Sales, Operations, and more. Accommodate all business roles, industries, and levels of familiarity with generative AI.
Accelerate generative AI deployments
Get the most from Google Cloud’s powerful, secure Vertex AI platform. Set ambitious business goals, empower your teams, and execute a custom generative AI strategy that’s bold, cost-effective, and protects your data, teams, and customers.
Generative AI FAQ
Generative AI refers to artificial intelligence models that can generate new content or data, such as images, text, or even music, that resembles human-created content.
Generative AI can benefit a wide range of industries, organizations, and individuals, from artists and musicians to researchers and businesses looking to create new content or data in health care, finance, education, government, retail, and beyond.
Generative AI can create new, unique content at a scale that would be impossible for humans alone, leading to increased efficiency and optimized workflows.
Generative AI has the potential to revolutionize various fields, from art and design to medicine and scientific research, by enabling the creation of new and unique content and data.
Yes, absolutely. You can train an AI on a subset of data that is not exposed to others using AI outside of your business or organization, much the same as how you securely use your proprietary data with Google BigQuery.
Generative AI works by using algorithms to analyze and learn from existing data, then generating new data based on what it learns.
Key components of Generative AI include machine learning algorithms, neural networks, and natural language processing.
A Large Language Model (LLM) is a type of Generative AI model that uses deep learning to understand and generate human-like language. Examples include BERT and GPT-3.
The term "hallucination" is often used to describe when an AI produces unexpected results, or information that must be fact-checked or verified by a human.
Sign up for a deep-dive generative AI consultation with SADA
Generative AI is transforming your industry and the world. Join SADA’s team of AI experts for an exclusive consultation that will:
- Orient you to the current state of the rapidly evolving Generative AI landscape, with a preview of what’s coming.
- Bring you up to speed on Google’s powerful, secure Vertex AI platform.
- Demonstrate how to use Generative AI and NOT expose your proprietary data.
- Put you on a path to implementing bold Generative AI solutions tailored to your business.
Participants in all business roles, all industries, and all levels of familiarity with AI are welcome to join the workshop. It'll be full of insights for the following audiences:
SCHEDULE A complimentary CONSULTATION
Join us for a Generative AI Discovery consultation to discover potential use cases for Generative AI in your organization, collaborate with our experts to learn more about designing and implementing Generative AI solutions, and develop an action plan for how to move forward with Generative AI’s transformational capabilities.