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3 weeks ago | 
technologymagazine.com | Kitty Wheeler
The race to build practical quantum computers has intensified as technology companies seek to overcome fundamental challenges in quantum physics. These machines promise to solve complex problems in chemistry, materials science and drug development that remain beyond the reach of classical computers.
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3 weeks ago | 
technologymagazine.com | Kitty Wheeler
AI’s market transformation has been significantly built from strategic partnerships, substantial funding rounds and acquisitions designed to secure data, talent and computational resources.
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3 weeks ago | 
technologymagazine.com | Kitty Wheeler
The global streaming market continues to expand as competition for viewers intensifies, pushing technology licensing into focus. This means that patents covering video compression, content delivery and hardware systems have become valuable assets for technology companies and streaming platforms as they bid to provide better experiences for viewers.
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3 weeks ago | 
technologymagazine.com | Kitty Wheeler
Many organisations currently face challenges in developing and deploying AI agents that can effectively process enterprise data while meeting requirements for accuracy, security and access control. Strategic partnerships have emerged as a popular way to face these challenges, between data infrastructure providers and AI model developers to bridge the gap between advanced AI capabilities and business-specific data requirements.
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3 weeks ago | 
technologymagazine.com | Kitty Wheeler
Formula E Teams With Google Cloud on AI Driver TechnologyThe world of motorsport has long been divided between resource-rich teams and those without access to advanced analytics. This gap has limited opportunities for many drivers, particularly women and those from diverse backgrounds.
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3 weeks ago | 
technologymagazine.com | Kitty Wheeler
Traditional service models in the customer service industry, which often relied on humans navigating multiple systems to address customer inquiries, are giving way to integrated platforms where AI can autonomously handle complex interactions. Within this change, the concept of agentic AI – systems that can independently analyse situations, make decisions and take actions without constant human oversight – is becoming a solution to long-standing service challenges.
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4 weeks ago | 
technologymagazine.com | Kitty Wheeler
Professional sports management has developed alongside digital transformation over the past decade, evolving from paper-based processes to sophisticated data platforms. In ice hockey, where teams operate under strict salary caps and complex contract structures, technology adoption has become essential for maintaining competitive advantage. Now, SAP and The National Hockey League (NHL) have introduced a new data management application for team executives: The SAP-NHL Front Office App for iPad.
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4 weeks ago | 
technologymagazine.com | Kitty Wheeler
As organisations move towards large-scale, production-ready AI systems, they face the pressure to demonstrate tangible returns on their investments. Part of the key to this investment success lies in firms forming partnerships with AI hardware providers to create end-to-end solutions that bridge the gap between technological capability and business value.
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4 weeks ago | 
technologymagazine.com | Kitty Wheeler
The integration of AI in workplaces shows no sign of slowing down, as companies seek to address productivity challenges in increasingly complex digital environments. Microsoft has positioned itself at the heart of this evolution, with its well known Copilot AI assistant, which initially focused on content generation and basic task automation.
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4 weeks ago | 
technologymagazine.com | Kitty Wheeler
Cloud computing platforms have developed enterprise AI deployment – and is now a multi-billion-dollar industry that is still reshaping global business operations. These sophisticated environments combine storage, computing power and specialised tools that democratise AI capabilities once reserved for technology giants. Gartner predicts that global spending on AI software will reach US$297bn by 2027, driven by demand for Gen AI, machine learning (ML) operations and predictive analytics solutions.
