venturebeat
98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem

Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, according to a new industry survey that reveals both the technology's transformative promise and its persistent reliability problems.The findings, based on responses from 219 U.S. market research and insights professionals surveyed in August 2025 by QuestDIY, a research platform owned by The Harris Poll, paint a picture of an industry caught between competing pressures: the demand to deliver faster business insights and the burden of validating everything AI produces to ensure accuracy.While more than half of researchers — 56% — report saving at least five hours per week using AI tools, near [...]

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venturebeat
Salesforce Research: Across the C-suite, trust is the key to scaling agentic AI

Presented by SalesforceIn 2025, Salesforce conducted a series of C-suite research studies to capture if and how top decision-makers are building an agentic AI strategy. While the research shows positi [...]

Match Score: 68.25

Destination
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+

The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]

Match Score: 65.04

Destination
Private Internet Access VPN review: Both more and less than a budget VPN

I came into this review thinking of Private Internet Access (PIA) as one of the better VPNs. It's in the Kape Technologies portfolio, along with the top-tier ExpressVPN and the generally reliable [...]

Match Score: 57.31

venturebeat
Google researchers introduce 'faithful uncertainty', allowing LLMs to offer best guesses instead of hallucinations

Large language models continue to struggle with hallucinations, presenting a major roadblock for real-world enterprise applications. Reducing these errors is a messy business, forcing model developers [...]

Match Score: 53.61

venturebeat
AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.

A doctor in a hospital exam room watches as a medical transcription agent updates electronic health records, prompts prescription options, and surfaces patient history in real time. A computer vision [...]

Match Score: 52.10

venturebeat
The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]

Match Score: 50.90

venturebeat
43% of AI-generated code changes need debugging in production, survey finds

The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.A survey of 200 senior site-reliability and DevOps le [...]

Match Score: 47.82

venturebeat
Anthropic scientists hacked Claude’s brain — and it noticed. Here’s why that’s huge

When researchers at Anthropic injected the concept of "betrayal" into their Claude AI model's neural networks and asked if it noticed anything unusual, the system paused before respondi [...]

Match Score: 47.75

venturebeat
AI agent credentials live in the same box as untrusted code. Two new architectures show where the blast radius actually stops.

Four separate RSAC 2026 keynotes arrived at the same conclusion without coordinating. Microsoft's Vasu Jakkal told attendees that zero trust must extend to AI. Cisco's Jeetu Patel called for [...]

Match Score: 43.79