Graph RAG represents a shift from text-centric retrieval to structure-aware understanding to enable: 1. More consistent answers 2. Better global context 3. Reduced hallucination 4. Stronger reasoning over relationships Rather than asking LLMs to guess structure from text at generation time, Graph RAG makes structure explicit upfront.

Marketing measurement has gone through three distinct phases: 1. Legacy MMM Era (pre-2010s) 2. Attribution Boom (2010s) 3. MMM Rebirth (2020s) This isn’t a story about preference. It’s a story about adaptation to thrive in the everchanging business world.

Data Detail is Crucial: To perform causal analytics like Marketing Mix Modeling, you must preserve raw, event-level data (joint distributions). Summary reports (marginals) discard the necessary context to attribute success to specific combinations of customer traits. Avoid the "Average" Trap: Aggregated data can hide the true story. Two completely different customer behaviors can look identical in summary reports, making accurate attribution impossible without the raw source

Marketers have more performance data than ever, yet trust in that data isn’t really improving. The fix lies in performance measurement using Marketing Mix Modeling.

In the highly regulated and patient-centric world of pharmaceutical launches, gaining a rapid, nuanced understanding of public perception is no longer optional—it is a critical necessity. Social listening has evolved from a simple monitoring tool into a sophisticated intelligence engine, providing real-time data that directly informs safety monitoring, brand strategy, and commercial success.

Ad platform reports from Google, Meta, and others usually over-credit the last click and don’t reveal the true drivers of ROI....

Why “writing problems” aren’t really about writing If you’ve ever said: “This draft doesn’t sound right.”  “It’s not what I meant.” ...

In a world flooded with writing tools, the real bottleneck isn't typing speed. It's planning structure and clarity, before the first word...

Author:  Ting-Yuan Wang, Solution Architect at Vizuro Realities of AI Implementation Over the past eight years, Vizuro has witnessed the rapid development and widespread application of AI across various industries. According to our client statistics, AI applications are most prevalent in the healthcare sector, accounting for 34%, followed by 25% in the pharmaceutical and life sciences industries, and 23% in manufacturing. Despite the enthusiasm and expectations surrounding AI

Authors: Drs. Hung-Ken Chien and Yu-Feng Wei, Co-Founders of Vizuro Introduction In the ever-evolving pursuit to measure promotional effectiveness, marketing mix modeling (MMM) has long been the norm to assess campaign lifts and help allocate their spending. However, the emergence of omnichannel marketing in recent years has imposed a great challenge to the conventional MMM methodology, due to its requirements for high tactic mix and segment granularity. Coincidentally, both

Expanding Global Reach with Kolr's Rebranding and Cutting-Edge AI Technologies (Left to right) Vizuro Co-founder and CEO, Yu-Feng Wei;...

We are thrilled to announce that Vizuro has joined NVIDIA Inception , a program that nurtures startups revolutionizing industries with...