2. Artificial intelligence and machine learning adoption to accelerate
Artificial intelligence has been intertwining its way into our digital lives for a few years, but as more companies invest in technology, we can see significant leaps in what’s capable. Natural language processing (NLP) and machine learning (ML), in particular, have gone from theoretical concepts to full use cases.
Luis Muñoz Villarreal of Traktion.ai explains some of these use cases:
“YouTube uses NLP to create subtitles from the audio of a video automatically, or how Google Analytics uses ML to understand better how a website user behaves, or Alexa using VR and ML so we can have a full conversation with a machine.”
Other examples of the growth of artificial intelligence can be found in chatbots, recommendation engines, and SaaS tools that help make employees’ lives much easier.
What to do next
Assess your current business workflows to determine if there is an avenue to begin AI/ML adoption. Many of your current business processes can be automated with AI’s help to free up human resources for other tasks.
Implement AI-driven analytics tools into marketing campaigns to uncover new insights to help your customers.
Use AI-driven chatbots as part of your internal operations to help answer employee questions, accelerate onboarding processes and recommend resources.