Perplexity Launches AI Assistant, Pipeshift Secures 2.5M Funding, Reliance Builds Largest Data Center, AI Chip Market Set to Soar, and more...
January 24, 202510m 49s
Audio is streamed directly from the publisher (media.transistor.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
(0:10): Perplexity Debuts AI Assistant on Android to Rival ChatGPT, Siri, and Alexa
(2:07): Pipeshift Raises $2.5M to Revolutionize AI Deployment for Enterprises with Innovative PaaS Platform
(4:12): Reliance to Build World's Largest Data Center in Gujarat, Partners with NVIDIA for AI Revolution
(6:13): AI Chip Market to Soar by $902.65 Billion by 2029, Driven by Healthcare and IoT Growth
(8:25): Global AI Regulations Urgently Needed, Warns NTT DATA CEO at Davos Forum
To subscribe visit https://www.brief.news.
For more updates in your inbox each morning visit www.brief.news.
(2:07): Pipeshift Raises $2.5M to Revolutionize AI Deployment for Enterprises with Innovative PaaS Platform
(4:12): Reliance to Build World's Largest Data Center in Gujarat, Partners with NVIDIA for AI Revolution
(6:13): AI Chip Market to Soar by $902.65 Billion by 2029, Driven by Healthcare and IoT Growth
(8:25): Global AI Regulations Urgently Needed, Warns NTT DATA CEO at Davos Forum
To subscribe visit https://www.brief.news.
For more updates in your inbox each morning visit www.brief.news.
Topics
Perplexity AI assistantnew AI assistant launchAI assistant for Androidcompeting AI assistantsChatGPT vs Siri vs Alexamultimodal AI capabilitiesAI-powered searchvoice interaction with AIPipeshift enterprise AImodular orchestration platformopen-source Generative AIAI workloads managementseed funding for AI startupsReliance Industries AI investmentworld's largest data centerNVIDIA AI semiconductorsAI chip market growthAI technologies in healthcareAI regulation standardsglobal AI governancedeepfake risksAI workforce readinessdata privacy in AIcloud computing and AIAI integration challengesethical concerns in AIAI in consumer electronicsAI in automotive industry