Follow my podcasts to learn how successful companies launch Artificial Intelligence-driven products and implement product strategy. You will find a vast number of robust case studies, insights, and manuals.
#36 -- Go-To-Market (GTM) strategy examples for inspiration
Launching a new product or service (or entering a new market with the existing portfolio) isn't obvious.
How can you ensure that you'll reach the right KPIs and achieve your business goals?
For that very reason, to improve their odds, businesses leverage a plan known as a GTM strategy (go-to-market strategy).
#35 -- Difference between AI, ML and DL
Although the three terminologies are typically used interchangeably, they no longer pretty refer to similar things. Let's look into the three buckets of computer science and compare artificial intelligence vs. machine learning with a little deep learning grasp.
#34 -- Go To Market Strategy in the COVID era
Consumer beliefs and behaviors are changing fast. To keep up with—and perhaps even influence—those changes, companies must leverage deep consumer insights. These are internal changes, but they are external ones. COVID19 is one of the most influential forces, which demanded many companies to revisit their go-to-market strategy.
#33 - Artificial Intelligence For New Product Development
New product development (NPD) is designing and launching products to answer a market opportunity.
AI for new product development has applications across various business sectors.
How does AI help to bring products faster to the market with more accurate results?
#32 - ROI of Artificial Intelligence project : challenges, Do's and Don't, what to consider
AI can fail you, and in a big way: by delivering results, which nobody cares about, or providing results only if you invest millions, which might not guarantee final success. Measuring the ROI of the Artificial Intelligence project will put you on the right track.
#31 Implement AI - What can Product Manager do about AI and where to start implementing
The hype around artificial intelligence (AI) has led to lots of jargon making the technology difficult to understand in product development.
I have asked myself?
What are the elements which product development should cover in the process of building great AI-powered products?
I will answer the question by exploring the elements of the AI technology development process.