B2B companies can automate marketing workflows, and collect insights on campaigns using artificial intelligence (AI) and machine learning (ML).
In the way that martech that’s driven by AI reaches buyers, B2B marketers can experience something similar by adopting AI and ML to improve their client’s journeys. Companies must implement recommendation engines with applied MLto find new prospects and appropriate solutions.
As companies like NVIDIA develop recommendation frameworks like Merlin, businesses can employ these tools to make decisions and drive engagement and sales in complex channels. Brands can also use AI to automate ads tagging and select keywords to improve SEO and marketing content to connect with B2B buyers.
Recommendation framework can further improve martech solutions like conversational chatbots, identify consumer pain points and offer relevant solutions. Integrating AI tools from enterprises allows businesses to optimise their pricing, and offerings while evaluating their competitors.
[5 minute read]