Challenges in harvesting precious data
To address every minute requirement of customers and reach maximum acquisition within the B2B marketing space, enterprises should concentrate their efforts towards learning their customers. Be it end users or corporate clients, each individual leaves behind a plethora of information through their online clicks and search, live campaigns, chat or e-mail communication, website visits and purchase decisions. When it comes to organizing, processing and deriving insights in the form of customer mindset, demographics and their behavior from heaps of data — enterprises need to consider incorporating Artificial Intelligence in B2B marketing and sales strategies.
Lack of proper skillset being a major challenge, businesses often miss out on insight as data collected is disposed or mismanaged or considered redundant — resulting in poor pre-sales marketing strategy. This is why, when it comes to harvesting and processing customer interaction data, the presence of intelligent machine learning and Artificial Intelligence in sales and marketing would offer unparalleled and actionable insight resulting in significant ROI.
AI and Conversational Computing
Artificial Intelligence is designed to emulate the capacity of human power and surpass their ability to remain accurate across all existing business processes. Made highly intelligent with deep machine learning methods, AI-powered computing system can work towards solving the problems without needing codes for programming. The AI system is taught to learn from human interactions through a predetermined set of rules and convincing illustrations.
AI enables conversational computing and Google relies on machine learning technology to reinvent its existing smart products like Google Maps and Google Assistant. For instance, Google Assistant is one great example of progress made in the area of machine intelligence as it offers conversational experience by making a personalized version of Google for every user. Using the elements of speech recognition and natural language processing, it helps people with their daily tasks such as gadget controls, calendar management, personal outings and meetings, etc.
Products like Digital Assistants and image recognition based Google photosalso depend on AI technology.