#ai--machine-learning

#ai--machine-learning

In a world of fluid identities and real-time data, personas are obsolete. B2B is no different from B2C in the sense that we are marketing or selling to individuals. Those individuals are humans, with their own past experiences, preferences, prejudices and personalities-and all of those things impact the way they receive and interpret information, and their propensity to buy at any time. Rigid personas flatten complexity and miss nuances, and when overused, potentially even alienate prospects and limit revenue opportunities.

Software keeps evolving, and with it, the design experience. In recent years, this evolution has accelerated- machine learning, AI, prompts, and integrated workflows have moved from the periphery to the core of design practice, becoming part of the shared language between software and users. As these tools take hold, a key question emerges: How will this reshape our experience of designing architecture in the future?

The rise of AI and clean energy technologies is set to reshape the American workforce, with major job growth projected in tech and energy-related industries, according to a new report from the Bureau of Labor Statistics (BLS). AI-fueled demand for software development, data processing, and cybersecurity is expected to boost employment in professional and technical services by 7.5% and in the information sector by 6.5% over the next decade, according to the BLS report.

TikTok's US plans are up in the air due to a divest-or-ban law that puts its future in jeopardy. But it's still offering six-figure salaries to workers this year in key areas like e-commerce and artificial intelligence. It's sought to hire data scientists to sharpen its search algorithm, court workers to grow its e-commerce platform TikTok Shop, and bring in machine learning engineers to improve its content feed and recommendations.