Data, AI & Analytics

Covering the technologies and approaches used in human decision-making and artificial intelligence via data science and analytics, machine learning and deep learning, as well as related data processing, integration and governance.

The Data, AI & Analytics Channel provides a clear perspective on the trends driving innovation and disruption in human decision-making and artificial intelligence, as well as the technologies enterprises are adopting to drive competitive advantage and generate new business opportunities. These include data science and analytics, machine learning and deep learning; data platforms such as relational and non-relational databases (including NoSQL and NewSQL); data warehousing; distributed data processing frameworks (such as Hadoop and Spark); blockchain and distributed ledger technology; data caching and stream processing; and data management technologies including data integration, data quality, data catalogs, master data management and data governance.

Contributing Analysts
Research Director, Data, AI & Analytics

Matt Aslett

Matt Aslett is a Research Director with responsibility for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence. Matt's own primary area of focus currently includes data abstraction, virtualization and analytics acceleration, data culture and data literacy, data streaming, and streaming data integration, as well as hybrid cloud data processing.

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Research Director, AI Applications & Platforms

Nick Patience

Nick Patience is lead analyst for AI and machine learning for 451 Research, a part of S&P Global Market Intelligence. He is part of the company's Data, AI & Analytics research channel but also works across the entire research team to uncover and understand use cases for machine learning, an area he has been researching since 2001. Nick also oversees 451's Workforce Productivity & Collaboration research and is a member of 451 Research's Center of Excellence for Quantum Technologies.

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Senior Research Analyst, Data, AI & Analytics

James Curtis

James Curtis is a Senior Research Analyst for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence. He has had experience covering the BI reporting and analytics sector and currently covers Hadoop, NoSQL and related analytic and operational database technologies.

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Senior Research Analyst, Data Science & Analytics

Krishna Roy

As a Senior Research Analyst for the Data, AI & Analytics team at 451 Research, a part of S&P Global Market Intelligence, Krishna Roy is responsible for the coverage of machine learning-driven data science, analytics and business intelligence. She started her career at 451 Research as research analyst covering data warehousing, data management, corporate performance management and BI.

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Senior Research Analyst, Data Management

Paige Bartley

Paige is a Senior Research Analyst for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence, covering core data management topics. Key themes include data privacy, data governance, data integration, metadata management, data quality and master data management. She has experience covering a broad range of technologies spanning the Data, AI & Analytics stack, from databases to self-service analytics.

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Research Director, Head of Voice of the Enterprise & Voice of the Service Provider

Liam Eagle

Liam Eagle is a Research Director and Head of Voice of the Enterprise (VotE) and Voice of the Service Provider practices at 451 Research, a part of S&P Global Market Intelligence. As head of VotE, he leads the production of 451's enterprise survey research, and with Voice of the Service Provider, he leads surveys on IT decision-making within service provider organizations.

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Research Director, Market and Competitive Intelligence

Greg Zwakman

As Research Director of Market and Competitive Intelligence at 451 Research, a part of S&P Global Market Intelligence, Greg oversees the development and maintenance of the company's Market Monitor product line. The Market Monitor provides market sizing, share and growth forecasts for emerging enterprise technology markets including IoT; data, AI and analytics; information security; cloud computing; datacenters; and hosting/service providers.

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Learn more about our Data, AI & Analytics research

Recent Reports in Data, AI & Analytics
Data, AI & Analytics
Market Insight

COVID-19: Returning to Work and other activities with Blockchain-based Digital Health Passports

As COVID-19 confinements are gradually lifted worldwide, and activities outside people's homes start to resume, how can we make sure that infection downtrends are not reversed, and people are safe?

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Data, AI & Analytics
Market Insight

Prognosis Uncertain: Data Privacy Rights in an Era of Global Contagion

In times of uncertainty, common global threats historically have often been – and likely will continue to be – justification to amass and analyze yet even more personal data.

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Data, AI & Analytics
Market Insight

Amid Coronavirus Uncertainty, Analytics Should Remain an Enterprise Priority

The use of data and analytics is already a key differentiator between leaders and laggards across multiple industries. The current coronavirus crisis, and the way in which enterprises respond to it, will likely exacerbate the distance between the 'haves' and 'have-nots.'

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Data, AI & Analytics
Market Insight

451 Perspective: Continuous Intelligence Emerges as Successor to Real-time Analytics

Continuous intelligence has entered the business intelligence (BI) and analytics lexicon. However, like many new tech terms it is somewhat shrouded in confusion. Some believe it is a byword for real-time analytics, while others argue that it is an entirely new approach to analytics.

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Data, AI & Analytics
2020 Trends Report Excerpt

2020 Trends in Data, AI & Analytics

It is becoming increasingly clear that new approaches to data processing, data management and analytics not only are key to differentiating the most data-driven companies from the least data-driven, but are also fundamental to the ability to execute digital transformation strategies. As we look ahead to 2020, we outline six key data trends that will enable successful digital transformation in the years ahead.

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Data, AI & Analytics
Technology & Business Insight

Automation and Augmentation: Data Science and Analytics in the Age of AI

As enterprises attempt to accelerate data-driven decision-making, they need to adopt technologies that enable easier access to data and insights for expert users - such as data analysts and data scientists - as well as senior decision-makers and other non-experts.

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