A model to accelerate energy technology innovation(FC)

The global energy industry is under pressure to innovate. Energy companies need vetted, field-tested technologies that improve efficiency, enhance safety, and streamline operations. On the other side of the spectrum, early-stage startups developing new technologies struggle to access customers, test environments, and capital. These parallel challenges can slow crucial energy innovation, creating a commercialization gap. […]
Read More »

AI might make your company faster, but at what cost?(FC)

Artificial intelligence may be driving rapid results, but it could lead to the quiet erosion of relationships in your company. There’s a quiet trade-off happening inside high-growth companies right now. We’re moving faster than ever, and teams are more efficient. AI is handling work that used to take hours, and asynchronous communication means decisions don’t have to […]
Read More »

Nobody Beats You At Being You: LinkedIn’s Bet On Humans Over AI(Forbes)

Aneesh Raman has had the kind of career that sounds like it was invented in a script-writing room. He covered wars for CNN, wrote speeches for President Barack Obama, worked his way through startups, and now serves as Chief Economic Opportunity Officer at LinkedIn, where a dataset drawn from more than 1.2 billion members gives […]
Read More »

Adobe is redefining how we understand, create, and share(FC)

We all have something in common: a desire to understand the world and share what we know in ways that spark understanding and inspire action. But communication still moves in one direction. We battle inboxes, scroll feeds, and navigate hours of video. We consume posts, articles, and white papers, rarely making it from introduction to […]
Read More »

You don’t have to increase employee numbers to grow(FC)

According to a JPMorgan report, nearly half of corporate leaders say they plan to expand their workforces in 2026. Yet service-industry businesses, ranging from creative agencies and financial services to specialized healthcare providers, can meet annual goals without adding headcount. Revamping infrastructure instead can power up annual wins with a clearer path to success. All service-focused […]
Read More »

Why Play Is The Serious Secret To Retaining Top Talent(Forbes)

In the business world, we often mistake professionalism as a synonym for stoicism. We’ve been conditioned to believe that for work to be serious, it must be devoid of joy. But after a decade at Google and now as a leading voice on play in the workplace, Kelsey Kates is challenging that narrative with her […]
Read More »

Top Gender Pay Gap Statistics(Forbes)

The gender pay gap refers to the difference between the average earnings of men and women in the workforce. Despite attempts to narrow the gap, women still earn 16% less than men on average.[1] This gender pay gap statistics report will delve into the latest statistics, uncover where the gap is still present and discuss factors that […]
Read More »

22 Top AI Statistics And Trends(Forbes)

Discover the most impactful artificial intelligence (AI) statistics that highlight the growth and influence of artificial intelligence, such as chatbots on various industries, the economy and the workforce. Whether it’s market-size projections or productivity enhancements, these statistics provide a comprehensive understanding of AI’s rapid evolution and potential to shape the future. Learn about the AI trends that will determine […]
Read More »

You can’t train your way out of the AI skills gap(CIO)

Teaching your team to use AI is great, but if you send them back into the same old slow meetings and approval loops, you’re just making broken processes move faster. Most enterprises I talk to say they have an AI skills gap. That sounds plausible right up until you look at what companies are doing. […]
Read More »

Best Practices for Integrating Machine Learning Models into Existing Applications (AIJ)

What if a high-performance machine learning model doesn’t work in practice? It’s not as rare as you might think. Researchers report that almost 70 to 80% of machine learning (ML) projects are not deployed in production due to a lack of planning, data, or integration. It’s not the model. It’s the process of integrating machine learning […]
Read More »