As global demand for generative artificial intelligence (GenAI) reaches unprecedented levels, technology powerhouses such as Microsoft, Google, Meta and Amazon are not only devoting significant resources to developing new GenAI models, but are also actively pursuing advancements in product offerings, basic infrastructure and strategic partnerships to strengthen their positions across the GenAI technology spectrum, said GlobalData, a leading data and analytics company.

Kiran Raj, Practice Head of Disruptive Tech at GlobalData, notes: “For example, Google has invested in Anthropic, launched chatbot Bard and introduced new models such as Universal Policy (UniPi) and Pathway Language Model 2 (PaLM 2). During its recent I/ O, the company unveiled more than 20 products based on PaLM 2, demonstrating its commitment to unlocking the potential of GenAI in a variety of applications.”

Saurabh Daga, Associate Project Manager of Disruptive Tech at GlobalData, added: “After a significant investment in OpenAI and the launch of GenAI-powered versions of Bing and Edge, Microsoft introduced Kosmos-1, a large language model. The company expanded its Expanding GenAI portfolio with Microsoft 365 Copilot and Security Copilot tools, demonstrating the company’s commitment to practical AI solutions Most recently, the company partnered with ERP specialist SAP for genAI-based recruiting solutions, demonstrating the technology’s potential at talent acquisition emphasized.”

GlobalData’s latest Innovation Radar report, “Generative AI powerplay: what’s in the Big Tech AI playbook,” offers a comprehensive look at how big tech is shaping the GenAI landscape by refining their prowess across the technology stack.

Many tech giants have made their AI tools and models public, often as open-source software. This trend is expected to continue as it can drive innovation, increase the talent pool and help spread the benefits of AI at scale. GenAI has a wide range of applications, from content creation to prediction and simulation in scientific research, and personalized recommendations in e-commerce and entertainment. Tech giants are likely to continue to expand the application of generative AI in various fields.

Daga concludes: “Given the complexity and interdisciplinary nature of AI research, the tech giants are likely to form more partnerships with academic institutions, research organizations and other companies.

“However, as AI technologies become more powerful and more widespread, concerns about the ethical and societal implications are growing. Companies are likely to invest more in developing guidelines, tools and procedures to ensure responsible use of AI. This includes transparency in AI decision making, bias reduction, privacy protection and more.”

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