venturebeat

2025-12-08

Booking.com’s agent strategy: Disciplined, modular and already delivering 2× accuracy

When many enterprises weren’t even thinking about agentic behaviors or infrastructures, Booking.com had already “stumbled” into them with its homegrown conversational recommendation system.

This early experimentation has allowed the company to take a step back and avoid getting swept up in the frantic AI agent hype. Instead, it is taking a disciplined, layered, modular approach to model development: small, travel-specific models for cheap, fast inference; larger large language models (LLMs) for reasoning and understanding; and domain-tuned evaluations built in-house when precision is critical.

With this hybrid strategy — combined with selective collaboration with OpenAI — Booking.com has seen accuracy double across k [...]

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venturebeat

2025-12-29

New framework simplifies the complex landscape of agentic AI

With the ecosystem of agentic tools and frameworks exploding in size, navigating the many options for building AI systems is becoming increasingly difficult, leaving developers confused and paralyzed [...]

Match Score: 109.68

venturebeat

2025-10-12

We keep talking about AI agents, but do we ever know what they are?

Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI si [...]

Match Score: 102.92

venturebeat

2025-12-23

Research shows ‘more agents’ isn’t a reliable path to better enterprise AI systems

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties. W [...]

Match Score: 100.24

venturebeat

2025-12-26

The enterprise voice AI split: Why architecture — not model quality — defines your compliance posture

For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a "Native" speech-to-speech (S2S) model for speed and emotional fidelity, or stick [...]

Match Score: 97.32

venturebeat

2025-10-16

Under the hood of AI agents: A technical guide to the next frontier of gen AI

Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]

Match Score: 86.61

venturebeat

2025-11-21

Salesforce Agentforce Observability lets you watch your AI agents think in real time

Salesforce launched a suite of monitoring tools on Thursday designed to solve what has become one of the thorniest problems in corporate artificial intelligence: Once companies deploy AI agents to han [...]

Match Score: 84.28

venturebeat

2025-12-30

Why Meta bought Manus — and what it means for your enterprise AI agent strategy

Facebook and Instagram parent company Meta’s agreement to acquire Manus for more than $2 billion — announced last night by both companies and reported in The Wall Street Journal — marks one of t [...]

Match Score: 82.85

venturebeat

2025-10-01

Hopper's AI agent can book flights and cancel trips without human help

Hopper Technology Solutions launched a breakthrough artificial intelligence system Wednesday that can autonomously handle complex travel customer service issues from start to finish, a major advance i [...]

Match Score: 78.73

venturebeat

2025-11-13

Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 78.07