Recently, reports have indicated a surge in the adoption of artificial intelligence (AI) technology among small businesses. For instance, organizations like Verizon, Salesforce, and the Associated Press have all stated that many small businesses are utilizing AI to drive revenue growth and enhance competitiveness. However, as a small business owner, I must say that these claims are overly optimistic, and the reality is not so straightforward. Image source note: Image generated by AI, image licensed through service provider Midjourney. In fact, many small businesses are still hesitant to use AI.

Meta's instant messaging application WhatsApp has introduced important updates in its latest iOS beta version (24.25.10.84), bringing AI-driven smart reply features and new capabilities for business platform connections to enterprise users, marking a further deepening of its AI strategy. The core of this update is the AI support system aimed at businesses. Business users can enable the AI customer service feature by simply scanning a QR code, providing intelligent customer service around the clock. This feature is particularly suitable for handling customer inquiries outside of working hours, allowing for smart replies.

In 2024, with the rise of AI-generated search results, many websites are experiencing a sharp decline in organic traffic. In response to this trend, Austrian startup Otterly has developed a tool focused on AI Search Visibility Optimization to help businesses and advertising agencies enhance their presence in generative search results. With Google launching AI Overviews in May, search engine users can...

Slack recently announced a deep integration of its Agentforce AI assistant with Salesforce, aimed at enhancing business efficiency through contextual intelligence. This integration will be a key component of Salesforce Agentforce 2.0, which is expected to launch officially on December 17. In an exclusive interview, Slack's Chief Product Officer Rob Seaman pointed out that the Slack platform typically reflects the structure of the organization and when

SenseTime Technology recently announced the upgrade of its Office Raccoon tool to version 2.0, evolving into an 'AI-native all-in-one creative space' that integrates various AI functions to enhance office efficiency. The core features of the new version revolve around the 'Raccoon Three-Step Method (PAW)', which includes Planning, Analyzing, and Writing, aiming to cover multiple aspects of work and learning. Office Raccoon 2.0 has enhanced data analysis capabilities and introduced document parsing abilities, simplifying tasks to save time and increase efficiency.

According to a recent survey, more and more US companies are moving from testing artificial intelligence (AI) to full implementation. The survey, conducted by US venture capital firm Menlo Ventures between September and October 2024, involved 600 IT decision makers and revealed that the total AI investment in the US reached $2.3 billion in 2023, skyrocketing to $13.8 billion in 2024, marking a sixfold increase. The participants came from companies with at least 50 employees, indicating that AI is gradually

In today's wave of the digital economy, artificial intelligence is reshaping the business landscape at an unprecedented speed. Appier, a Software as a Service (SaaS) company dedicated to leveraging AI for business decision-making, has recently made significant strides in the field of generative AI, crafting a new blueprint for enterprise digital transformation. Artificial intelligence is dramatically altering the business ecosystem at an astonishing pace. A report from McKinsey predicts that generative AI will contribute between $2.6 trillion to $4.4 trillion annually to the global economy. Gartner's data further highlights the remarkable potential.

Microsoft has recently open-sourced an innovative business validation tool called TinyTroupe. This project, based on multi-agent virtual character simulations, offers enterprises a new low-cost market validation solution. By building a virtual user population, companies can quickly gather user feedback before the official product launch, significantly reducing market trial and error costs. The core advantage of TinyTroupe lies in its use of large language models like GPT-4 as the driving engine. By setting the personality traits, interests, and behavioral patterns of virtual users, the system can simulate...