Talking about AI with customers (without guessing their questions)
How to sell AI to customers: skip generic demos, ask diagnostic questions, define outcomes, manage risk, and prove value with outcome-linked metrics and pilots.
Thoughts, essays, experiments, and playbooks for building better organisations.
Showing tag: ai
How to sell AI to customers: skip generic demos, ask diagnostic questions, define outcomes, manage risk, and prove value with outcome-linked metrics and pilots.
How to discuss AI with boards: move from hype to business decisions. Define the bet, ROI timeframe, risks, guardrails and signals that prove value.
Unbelievably, the web has been around for three decades. We are at the start of a new journey that will see the web as we know it disappear.
LinkedIn Ads performance analysis is changing. Imagine being able to ask an AI assistant, “How are my LinkedIn Ads campaigns doing this week?”, and instantly get a clear answer.
This week looks behind the scenes of artificial intelligence, gaps today and changes already in motion.
In the end, as the innovation matures, regulations appear and there are less loop holes to exploit as the successful companies will be those that fixed.
We already know one soundbite from Sundar in the interview: Artificial intelligence will be more profound than electricity or fire.
So if smart assistants are the future and not chatbots, is this the end of the chatbot?
2018 is well under way and this week I look back at the marketing technology trends I discussed last year and what should be interesting this year.
Fake news is the least of your problems and it has taken too long to recognise the issue.
I'll reflect on both in the next week or so I suspect but this week's newsletter looks at innovation, the business of looking into the future, how.
Automation alone doesn't win I've spent a fair amount of time talking about automation this year and marketing has been no stranger to it for many years.