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

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?

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.

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.'

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.

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.

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.