Survey Data Hub - Voice of the Enterprise: Data & Analytics, Generative AI 2024
Biography
Krishna Roy is a senior research analyst in the 451 Research technology research group within S&P Global Market Intelligence. She leads the data science and analytics coverage areas for the Data, AI & Analytics channel. Prior to this, Krishna was a research analyst in the Data, AI & Analytics channel covering business intelligence and data management, including data integration and data warehousing. Krishna arrived at S&P Global Market Intelligence through its 2019 acquisition of 451 Research, where she was a senior research analyst. During her 20-year tenure with 451 Research, she was responsible for many coverage areas, including business applications and business intelligence. Prior to joining 451 Research, Krishna held several journalist roles in London, New York and San Francisco. Krishna’s recent areas of concentration include data-driven decision-making, AI governance and compliance, and generative AI’s role in data science and analytics. Krishna holds a Bachelor of Arts, First Class Honors Degree, in English literature and American studies from Brunel University, London.
Geographic Coverage
Global
Recent Research from Krishna Roy
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Data science and analytics in the generative AI era – Highlights from VotE: Data & Analytics
Findings from our Generative AI 2024 survey show that data science and analytics tools and platforms play a key role in data-driven decision-making. Data science platforms are also emerging as a popular alternative to purchasing new software platforms specifically for generative AI project operationalization.
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Coverage Initiation: Karini aims GenAI play at operationalization of select LLM-driven use cases
Karini AI emerged onto the generative AI scene in early 2024 with a no-code offering for the operationalization of certain types of large-language-model-driven applications by subject matter experts who know their business domain but are not highly technical, such as marketers, accountants and sales personnel.
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SAS snags Hazy's core intellectual property to bolster its synthetic data expertise
The advanced analytics veteran, which has never been a particularly active acquirer, has purchased the key synthetic data technology assets from Hazy. With the deal, SAS is aiming to augment its ability to provide its key audience of data scientists and developers in enterprises with synthetic data, which is becoming increasingly popular.
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Regulatory compliance and GenAI adoption could fuel AI governance M&A, Part 2: Potential targets
As artificial intelligence is increasingly regulated and generative AI shifts from experimentation to adoption, being able to govern AI models becomes more critical because the financial penalties and business risks from not doing so heighten. This could spur established enterprise software vendors to address this need with M&A.
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Regulatory compliance and GenAI adoption could fuel AI governance M&A, Part 1: Potential acquirers
As artificial intelligence is increasingly regulated and generative AI shifts from experimentation to adoption, being able to govern AI models becomes more critical because the financial penalties and business risks from not doing so heighten. This could spur established enterprise software vendors to address this need with M&A.
More research from Krishna Roy
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