Shelf Blog
Get weekly updates on best practices, trends, and news surrounding knowledge management, AI and customer service innovation.
Agentic process automation, or APA, is a necessary and entirely logical evolution of RPA. The key difference between APA and RPA is the ability of AI agents to perform their tasks autonomously. This means they make decisions and adapt within business processes WITHOUT relying on scripts....
As your business continues to scale, a single agent eventually becomes insufficient. In this case, the logical solution is to deploy multiple agents, each responsible for its own domain. But this raises a logical question: How exactly will they coordinate? It is precisely the coordination model...
Let’s be honest: deploying an AI agent into production isn’t actually that difficult. But ensuring it remains reliable, predictable, and within your budget is a whole different story. Unfortunately, it’s precisely at this stage that many companies fall short. And when problems arise, teams...
We’re still buzzing from last week’s NRF event. Over three days, our team connected with nearly 500 retailers and industry leaders and the energy around what’s possible with AI was palpable. But beyond the excitement, what struck us most were the candid, unfiltered conversations...
When it comes to managing data, unstructured data is the wild card. It’s messy, unpredictable, and doesn’t fit neatly into the boxes and grids we’ve relied on for years. Unlike structured data, which is easy to organize and analyze, unstructured data is chaotic. It’s not just that there’s more of...
Data is classified into two main types: structured and unstructured. Structured data refers to organized information that follows a predefined format and resides in fixed fields within a record or file. Structured data is easily searchable, organized, and can be stored in databases. Unstructured...
This post was created by Shelf with Insider Studios. We’ve all heard the explanations for why AI projects fail: the models aren’t advanced enough, they don’t remember past interactions, they hallucinate answers — the list goes on. However, those explanations overlook AI’s...
Key Takeaways An MIT report reveals 95% of AI pilots fail. Contact centers are rushing AI deployments without the governance layer needed for success. We are seeing poor data preparation and lack of feedback loops as the leading causes of AI project failure. Organizations that implement...
Key Takeaways Generative AI processes information fundamentally differently than humans. AI predicts patterns rather than comprehending meaning. This distinction requires completely rethinking enterprise data governance, moving from systems designed for human interpretation to frameworks...
Key Takeaways The real AI race isn’t about having the most advanced models, it’s about having the cleanest, contextually rich, and governed data. While most organizations fixate on AI tools, strategic leaders are building competitive advantages through superior data governance,...
Key Takeaways Poor data quality is silently killing customer support AI initiatives, regardless of how much you spend on AI models or vendors Bad data poisons AI training, routing, deflection, and agent assist, making ROI impossible to achieve The solution is proper data inventory,...
Vector Solutions is a platform for enhancing training and development in organizations, education, and professional settings. It integrates tools for incident management, reporting, and improving learning outcomes. With Vector Solution, you can boost efficiency and safety while effectively...