This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
These examples illustrate the global trend: AI is enabling higher engagement on digital platforms and scaling up customer support without sacrificing quality. billion in AI in 2024, making it the second-largest industry for AI spending (after software/IT services at $33 billion and ahead of retail at approximately $25 billion).
Software development with sustainability in mind is a rising trend in digital spaces. Digital technology has inadvertently become a significant contributor to the growing carbon footprint of the tech industry. As we increasingly depend on digital solutions, the environmental impact of this reliance becomes more apparent.
In SaaS, the top data analytics trends can either be a revolution or just fluff. So what are the trends in the data analytics landscape that are actually important for product management ?
There will be a revolution in digital experiences, not only due to the unprecedented internet connectivity but also the processing power of our devices. We will see ML processing units inside computers, the widespread use of predictive analytics, and an increased ability of AI to generate pre-decision. More Tech Means More Talent.
Today, more and more businesses are looking for product managers specializing in artificial intelligence and machine learning technologies. A report from McKinsey supports this, predicting that AI brings in as much as $13 trillion in economic activity by the year 2030. That said, landing a job as an AI product manager is not easy.
The more product features you put out there that contain innovative solutions to manage the climate risk, the more your organizations will benefit from the ripple effects of this engagement. Germany has also planned to cut 65% of greenhouse gas emissions by the end of 2030 and up to 88% by the end of 2040 (compared to levels in 1990).
Consider the generative AI revolution: in under two years, entire product categories, from content generation to software development tooling, are being reshaped. 100% carbon-neutral products by 2030) and map the necessary steps to get there. Pre-mortems and Assumption Mapping Use these tools to question current product bets.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content