SAP, Capgemini Lead AI Boom
Over 70% of investors warn companies aren't ready for AI deployment surge
Story timeline14 updates
SBI chief flags 'Know Your Agent' as AI enters banking, requiring clear mechanisms for AI agent identity and authentication.
SBI chief flags 'Know Your Agent' as AI enters banking.
SBI chief flags 'Know Your Agent' as AI enters banking, requiring clear mechanisms for AI agent identity and authentication.
Mark Zuckerberg announces Meta's new AI model and a $1 billion investment in communities tied to its data centers.
Mark Zuckerberg announces $1 billion investment in communities tied to Meta's data centers.
Mark Zuckerberg announces $1 billion investment in communities tied to Meta's data centers.
Mark Zuckerberg announces Meta's new AI model and a $1 billion investment in communities tied to its data centers.
Meta releases Muse Glimmer, a 30-billion parameter AI model.
Meta launches new AI model, Muse Glimmer, designed to run on consumer hardware.
Kerala deployed AI-driven 'Farmguard' sentry systems in six forest zones, achieving near-100% success in repelling wild animals.
Kerala deployed AI-driven 'Farmguard' sentry systems in six forest zones, achieving near-100% success in repelling wild animal intrusions.
Kerala deployed AI-driven 'Farmguard' sentry systems in six forest zones, achieving near-100% success in repelling wild animals.
Kerala deployed AI-driven 'Farmguard' sentry systems in six forest zones, achieving near-100% success in repelling wild animals.
Story published. Over 70% of investors warn companies aren't ready for AI deployment surge
Europe’s established technology firms have become the primary beneficiaries of the AI boom, with companies like SAP, Capgemini, Sopra Steria, and OVHcloud reporting stronger demand, faster growth, or upgraded financial outlooks. This shift contradicts initial expectations that new AI model builders would dominate the market.
Enterprises are transitioning from experimental AI use to full-scale deployment, revealing challenges in integrating AI into legacy systems, fragmented databases, and complex governance structures. Large organizations are unlikely to rely on a single AI provider, instead opting for multiple models tailored to specific tasks based on performance, security, and regulatory needs.
UBS noted in a recent report that "AI applications are the battleground, and that is where most value will be created." Europe’s legacy tech firms, with their expertise in integrating complex technologies, are well-positioned to capitalize on this trend. Their strengths in connecting AI with existing workflows predate the rise of generative AI.
A Boston Consulting Group report highlighted that AI deployment is outpacing companies’ ability to manage it, with over 70% of investors expressing concerns about organizations’ technical and operational readiness for AI success.
