Artificial intelligence (AI) is poised to transform the way that marketing professionals work, and how organizations target, engage and connect with customers and prospects. Just like how marketing automation created new tasks and job functions, AI will revolutionize the way marketing is performed – and dictate a new set of job needs and skills.
We’ve discussed how the term artificial intelligence (AI) covers a wide array of applications; just like many of these functionalities, affective computing is beginning to see some growth in the market. Spanning across computer science, behavioral psychology, and cognitive science, affective computing uses hardware and software to identify human feelings, behaviors, and cognitive states through the detection and analysis of facial, body language, biometric, verbal and/or vocal signals.
Artificial intelligence (AI) adoption is at a tipping point, as more and more organizations develop their AI strategies for implementing the revolutionary technology within their organizations. However, there are still major challenges to AI adoption; in fact, cost of the solution and lack of skilled resources are cited as the top inhibitors of adopting AI.
While we’ve discussed the disruptive power that artificial intelligence (AI) applications bring to enterprise organizations, the truth is that AI adoption is still low for these businesses. However, adoption level is at a tipping point; investment in AI has tripled, and recent technical innovations promise to make AI not just an underlying technology capability, but a fundamental business tool. Here are just three of the technical innovations that enterprises can use to better leverage the disruptive power of AI:
In an earlier blog about the Future of Work, and in a recent IDC Perspective, we presented IDC’s view of the Future of Work and offered a framework that provides a way to approach and scope the organizational, policy, and technology changes required to leverage this opportunity in a holistic manner. In this blog, we’ll take a closer look at the growing role of technologies like artificial intelligence (AI), robotics, IPA, and augmented and virtual reality (AR/VR) in automating and augmenting the tasks and processes traditionally accomplished by human workers. We’ll also explore how organizations are planning to acquire the skills required to leverage the opportunities for automation and human-machine collaboration.