The rhetoric surrounding AI (AI) because the panacea for solving business problems has created some skepticism among marketers. It also can be overwhelming.
AI might sound sort of a cure-all for the problems together with your data or marketing and sales analytics. actually , the technology is none of those things, and AI applications are often classified into several categories, counting on the aim . There are three “AI’s” that i think are critical for marketers:
• Automated integrations of knowledge , processes and external events intelligence to enable faster and real-time decision-making.
• Actionable intelligence for organizations, powered by a strong platform for developing insight.
• Augmented intent data that aggregates multiple data types per market to ensure that it can be easily understood and used by marketing and sales organizations.
For certain, the use of AI by marketers is taking hold. Revenue increases from adopting AI are reported most often in marketing and sales, while other benefits include the ability to predict the likelihood of buying, cost reductions and customer service analytics, according to McKinsey. And with projections that the global enterprise AI market will reach $53.06 billion by 2026, it’s too tantalizing not to consider the transformational potential of AI and machine learning for B2B marketing.
AI has clearly moved beyond the hype; algorithms are continuously learning and can self-correct, giving them the ability to transform work and create a competitive advantage.
Understanding AI’s potential and its benefits can help you and your business benefit from the technology rather than being overwhelmed by it. To prepare, businesses should standardize their definition of AI, assess their readiness for AI solutions and define measurable and transparent ROIs for AI initiatives.