#agentic-ai

#agentic-ai

Alpha's suite of digital agents replaces traditional roles in the mortgage workflow, allowing brokers to streamline operations without relying on costly middleware SaaS products.

The final week delivered the advanced tools and mindsets needed to operationalize agentic AI at scale, focusing on evaluation, governance, and production environments.

"Agentic AI systems are designed to make decisions, take effective actions, and then adapt their behavior based on the environment, along with the types of goals that they are pursuing."

"It's about stitching capabilities together so that agents can act on behalf of users in increasingly sophisticated ways."

The rise of agentic AI - autonomous systems that understand, plan, and act using large language models (LLMs) - is rapidly reshaping how developers and data professionals think about automation.

Agentic AI represents a significant operational shift for enterprises as it moves beyond traditional automation to introduce autonomous, goal-oriented systems capable of making decisions.

To deploy agentic AI responsibly and effectively in the enterprise, organizations must progress through a three-tier architecture: Foundation Tier, Workflow Tier, and Autonomous Tier where trust, governance, and transparency precede autonomy.

The AI search startup Perplexity officially launched Comet, a web browser designed to feel more like a conversation than a scroll, aiming to replace traditional web browsing.

"Agentic AI is driving significant compute demands, and AI Runners provide a practical, secure solution for every developer," said Alfredo Ramos, Chief Product and Technology Officer at Clarifai. "It's essentially ngrok for AI models, letting you build on your current setup and keep your models exactly where you want them."

Creative Hub allows brands to analyze current ads to determine what is and isn't working and revise accordingly. For example, one client saw that ads set in daytime performed noticeably worse than ads in nighttime settings.

Agentic AI models, trained to use tools and access data, could redefine software, enhancing personalization through real-world actions and automation.

Many businesses have the availability to begin adoption and testing. For other use cases like healthcare, it's not complete or finished in a wrapped-up way businesses can adopt.

"Most agentic AI projects right now are early stage experiments or proof of concepts that are mostly driven by hype and are often misapplied," said Anushree Verma, Senior Director Analyst at Gartner.

Today's retail leaders are embracing the power of Agentic AI, allowing for smarter systems and achieving faster growth by relinquishing control in marketing strategies.

AI agents represent a significant advancement in technology, but there's a crucial distinction between AI agents and traditional automation; understanding this can prevent misinformation.

Agentic AI tools can go beyond the capability of chatbot by taking actions online, such as purchasing an item or booking a reservation.

"If you've used a computer use agent, you can just say, 'go research a bunch of accounts for me, or I'm going to log you into my LinkedIn.' And the key is, you can get up and walk away."

Databricks announces the acquisition of Neon, a serverless Postgres company, to strengthen its AI infrastructure and enhance capabilities for building agentic AI.