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
By 2025 nearly all data generated will be in real-time. A disruptive mindset creates an environment that embraces constant experimentation and change. Stability during Uncertainty . But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 trillion a year.
If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.
2 strategic trend for 2025, predicting that by 2028 organizations that implement AI governance platforms will experience 40% fewer AI-related ethical incidents compared to those without such systems. Here, jurisdictional imbalances are in play. “In
These core leadership capabilities empower executives to navigate uncertainty, lead with empathy and foster resilience in their organizations. Leaders with high EQ pivot with empathy, adjust in real time and stabilize teams through uncertainty. EQ helps foster teamwork, empathy and resilience.
AI investment and pressure grew upward As AI has moved from emerging to mainstream, and organizations matured in their ability to harness AIs potential over the past year or two, CEOs now expect less experimentation and more AI projects that deliver outcomes with measurable business value.
While EA leaders have long been positioned as key enablers of digital transformation, the rapidly shifting business landscape of 2025 presents new pressures. Economic uncertainty, geopolitical instability, and the explosion of AI-driven initiatives mean that enterprise architects must redefine their roles to remain relevant and valuable.
We organize all of the trending information in your field so you don't have to. Join 42,000+ 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