ADOBE AI FOR BUSINESS

What is agentic AI?

What is generative AI?

What is predictive AI?

Predictive AI analyses historical data and uses statistical algorithms to classify, label and make predictions on new, unseen data. It anticipates what’s next based on what’s already happened. It is powered by machine learning models and generates probabilities or ranked predictions rather than guaranteed outcomes. Use cases include predicting customer churn, creating audience look-alike models and forecasting sales trends to power marketing strategies.

Adobe has been investing in predictive AI for over a decade, initially using machine learning in Adobe Analytics and Adobe Target. Today, predictive AI is used across creative and marketing applications to provide insights-driven automation, intelligent ideation and optimised journeys.

What are AI-first applications and tools?

What is the difference between predictive, generative and agentic AI?

Predictive AI is a type of artificial intelligence that builds on machine learning technology to analyse data so you can identify trends and predict outcomes.

Generative AI creates content — text, images, code, video and audio — from prompts. It focuses on content creation, expression and summarisation.

Agentic AI is a goal-driven system that can take action autonomously with limited human interaction to achieve outcomes. It focuses on action, decision-making and single- to multi-step execution. Agentic AI is the culmination of generative AI and may use both predictive and generative models. These models can be used to make inferences or create content while pursuing a specific goal, like launching a campaign or responding to customer feedback.

What is enterprise AI?

How can enterprise AI improve my company’s efficiency or ROI?

Enterprise AI can:

• Automate repetitive tasks such as invoice processing and customer support.
• Provide predictive insights such as demand forecast and churn prediction.
• Optimise supply chains, marketing campaigns and sales strategies.
• Enable real-time decisions based on large datasets.

Companies report increased productivity, cost savings and better customer experiences as benefits of adopting enterprise AI solutions.

Is enterprise AI safe and secure for handling sensitive data?

Which industries benefit the most from enterprise AI?

Every industry can benefit from enterprise AI. Some of the top adopters of enterprise AI include:

• Finance, for fraud detection and risk modelling.
• Healthcare, for diagnostics support and patient management.
• Retail and ecommerce, for increasing personalisation and simplifying inventory forecasting.
• Manufacturing, for enhancing predictive maintenance and quality control.
• Logistics and supply chain, for route optimisation suggestions and demand planning support.

How do I get started with implementing enterprise AI in my business?

Start with a clear business problem to solve. Then you can:

1. Assess. Evaluate organisation readiness and select AI technology that is developed responsibly.
2. Pilot. Identify and prepare priority use cases and pilot them against business and ethical AI criteria.
3. Adopt. Train and enable your organisation, then deploy with brand or organisational guidelines in mind.
4. Monitor. Measure performance against business and responsible AI benchmarks for ongoing risk management.

Learn more in The AI Inflection Point