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 Vice President

Matt Aslett

Matt Aslett is a Research Vice President for the Data, AI & Analytics Channel at 451 Research. Matt has overall responsibility for the data, AI and analytics research coverage, which includes operational and analytic databases, Hadoop, grid/cache, stream processing, search-based data platforms, data integration, data quality, data management, analytics, machine learning and advanced analytics.

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Senior Analyst, Data, AI & Analytics

James Curtis

James Curtis is a Senior Analyst for the Data, AI & Analytics Channel at 451 Research. 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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Founder & Research Vice President, Software

Nick Patience

Nick Patience leads 451 Research's coverage in two key areas: digital transformation and artificial intelligence/machine learning. Nick is a co-founder of 451 Research and Research Vice President, Software. He oversees the company's coverage of the software industry spanning four research channels: Customer Experience and Commerce, Workforce Productivity and Compliance, Data, AI & Analytics, and Development, DevOps and ITOps.

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Senior Analyst, Data, AI & Analytics

Krishna Roy

As a Senior Analyst for the Data, AI & Analytics team, Krishna Roy is responsible for the coverage of self-service analytics, predictive analytics and performance management. Prior to joining 451 Research, Krishna held a number of positions as a journalist in London and the US, including several years writing for Computergram International. She was also an Assistant Editor at the monthly magazine IBM System User, which focused on IBM software and hardware.

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Senior Research Associate

Jeremy Korn

Jeremy Korn is a Senior Research Associate at 451 Research. He graduated from Brown University with a BA in Biology and East Asian Studies and received a MA in East Asian Studies from Harvard University, where he employed quantitative and qualitative methodologies to study the Chinese film industry.

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Senior Analyst, Data Management

Paige Bartley

Paige is a Senior Analyst for the Data, AI and Analytics channel at 451 Research, covering data management, including data integration, data governance, data quality and master data management. She has experience covering a broad range of information management technologies spanning database functionality and self-service analytics to regulatory policy and compliance.

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Senior Analyst - Blockchain & Distributed Databases

Csilla Zsigri

Csilla is a senior analyst for 451 Research’s Data, AI & Analytics channel. She currently focuses on decoding the blockchain market to help replace confusion and complexity with an examination of the technology, the competitive landscape and available solutions that are driving the market, as well as real-world use cases and deployments.

Csilla's Profile
Vice President, Market and Competitive Intelligence

Greg Zwakman

As Vice President, of Market and Competitive 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 cloud computing, cloud enabling technologies, big data, OpenStack and hosting/service providers. Greg also serves as an analyst catering to institutional investors and oversees initiatives involving broader market intelligence deliverables.

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Learn more about our Data, AI & Analytics research

Recent Reports in Data, AI & Analytics
Data, AI & Analytics
On Demand Webinar

How Machine Learning Acquisitions and Implementations Are Adding Value

For a comprehensive look at machine learning – covering everything from the technological underpinnings to the financial outcomes in the sector – watch 451 Research’s Research Vice Presidents Brenon Daly and Nick Patience discuss the machine learning market including how some key tech acquirers are participating in the rapidly emerging market.

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Data, AI & Analytics
Report Excerpt

2019 Trends in Data, AI & Analytics

As the market continues to accelerate toward being more data-driven, it is becoming increasingly clear what differentiates the most data-driven companies from the least data-driven, in terms of their ability to convert adoption of emerging technologies into actionable business insight.

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Data, AI & Analytics
Market Insight

451 Research Survey Reveals 10 Essential Habits of Data-Driven Enterprises

The results of the inaugural VotE: Data & Analytics survey indicate that there are distinct differences between the most data-driven and least data-driven companies.

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Data, AI & Analytics
Market Insight

Blockchain in Financial Services

Among all industries, the financial industry is perhaps the furthest along in experimenting with and implementing blockchain and distributed ledger technology.

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Data, AI & Analytics
Technology & Business Insight

Process Automation, Bots & Mining: Essential Technologies for Digital Business - and Their Fate

In the digital era the need to quickly respond to customer expectations and aggressive actions of rivals demands a persistent transformative approach – one that discovers and automates efficiencies, crafts engaging user experiences, and readily adapts when needed.

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