Maybe you haven’t stopped to consider this, but artificial intelligence is playing an increasingly important role in our lives. Just think about all the chatbots that have helped you solve an issue! In the business world, AI is being used to automate tasks, improve decision-making and create efficiencies, and project management is also taking advantage of its perks!

Like it or not, cloud services have entered our lives. Kids play online, adults upload photos to the cloud, IT professionals create sophisticated software, and big businesses like Google, Amazon, and Microsoft have long relied on big data centers. The only question left is which is better: self-hosted software or the one in the cloud. On the one hand, a self-hosted server gives you complete control, but on the other hand, the maintenance costs are much higher compared to computing in the cloud.

Conversational AI is growing more prevalent every day. Not just in business, but for entertainment purposes as well. Whenever computers have conversations with humans, there’s a lot of work engineers need to do to make the interactions as human-like as possible.

Dramatic shifts in how we approach and conceptualize work are always met with an initial tidal wave of skepticism and detractors. This is a good thing, even if those initial detractors may turn out to be wrong. Thinking critically about the tools we deploy and how we manage our workforce is paramount.

In today’s competitive business environment, data-driven decision-making is necessary for sustainable success. Companies are leveraging data to gain insights, improve efficiency and increase profitability. Data-driven decision-making enables businesses to understand customer needs, target the right markets, develop better products and services, and optimize operations.

Let’s dispense with this myth right away. If you’re a Product Manager and you’re worried that the new wave of “generative AI” tools is coming for your career, you can relax. Yes, software programs like ChatGPT can analyze gazillions of data points and even produce some clever insights. But successful product management is still very much a human profession that requires empathy, lived experience, and a passion for innovation and problem-solving. Can a Tesla drive itself?