AI and machine learning remain some of the most transformational technology innovations disrupting the business world this century.
Gartner estimates that through 2022, 85% of AI projects will fail due to errors in data, algorithms, or the teams responsible for managing them.
Let’s get hands-on and consider a sample problem, where the goal is to make Personalized Client Engagement Recommendations for salespeople by sketching out a recommendation engine algorithm.
Personalization is at the core of many modern internet services and has been a topic of heated discussion among researchers and academics over the last ten years. This article reviews eight implementations of personalization and makes the case that all companies should be evaluating this technology.
Every company with over $1B in revenue will see significant competition from AI-first startups within the next 5 to 10 years. No industry is safe from this fact.
A discussion on the road ahead for Artificial Intelligence on the development of new conventions and best practices with other major technology shifts.
Notes from our Google Cloud AI partnership roundtable discussion on how to drive business value from Artificial Intelligence.