#TechReport

DaveCarroll84DaveCarroll84
2026-01-09

AI Year in Review: Trends Shaping 2026

Looking back at the explosive growth of 2025 and identifying the key trends that will define the AI landscape in 2026.

technology-news-channel.com/ai

Hacker Newsh4ckernews
2025-09-07
KINEWS24KiNews
2025-06-02

KI 2025: Meeker warnt – alles wird anders!

• 340 Seiten voller Fakten
• 99 % Kostenrückgang bei KI
• Historischer Wendepunkt erreicht

Jetzt LIKEN, teilen, LESEN und FOLGEN! Schreib uns in den Kommentaren!

kinews24.de/meeker-ki-explosio

Mr Tech Kingmrtechking
2025-05-15

Kantar: Apple's brand value soars to $1.3T (28% up), topping list 4th year. Google, MSFT, AMZN, NVDA follow. Their math's a bit hazy, but Apple reigns.

Apple is Top Brand for Fourth Year, Kantar Says 2025.

"Every interesting problem starts with 'it depends.'" Our Chief Scientist @mfowler explains how to make better decisions about technology 🔽

Read the 30th volume of the Radar here: ter.li/8ejn44

#Tech #TechTrends #TechReport #TWTechRadar

How can leaders get value from the Thoughtworks Technology Radar?

CTO Rachel Laycock talks about how she uses it in this short video.

Take a look inside Vol.30 now: ter.li/udg29e

#Tech #TechReport #TechTrends

The Radar is — by design — specific. It's about individual tools and techniques we think are interesting. But that doesn't mean some broader trends emerge through the process.

CTO Emerita Rebecca Parsons discusses some of these 'macro trends' in a new blog post.

Read on: ter.li/kzfqxb

#TechTrends #TrendReport #MacroTrends #TechReport #TWTechRadar

More than 72,000 technologists have already subscribed to our Technology Radar.

Don't miss out!

Subscribe now: ter.li/mzx4cf

#TWTechRadar #TechReport

What's caught our attention over the last six months in tech?

Find out with the help of volume 29 of #TechnologyRadar: thght.works/45P9TGA

#TechTrends #TechReport #TechPublication

Want to get insights into today’s technology landscape?

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst