Gartner Blog Network

Svetlana Sicular
Research VP
6 years at Gartner
23 years IT industry

Svetlana Sicular is passionate about bringing analytics to domain experts and helping organizations successfully compete by applying their business acumen in analytics and data science. She is convinced that domain expertise and high-value data are the greatest assets that companies should monetize in new analytics applications. Read Full Bio

Bias Against… AI Bias

by Svetlana Sicular  |  August 7, 2020

Bias is one of the stereotypical dangers of AI. Those who refer to bias are often biased against… AI bias. We have seen enterprises spending unnecessary resources to eradicate AI bias, because they presume without due diligence that bias is always bad. Meanwhile, bias is a natural effect of learning. It cannot be completely eliminated, […]

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The Hype Cycle for Artificial Intelligence 2020 Reflects the State of AI in the Enterprise

by Svetlana Sicular  |  July 29, 2020

The annual Hype Cycle for Artificial Intelligence, 2020 is just published! Yay! AI as a concept is rolling off the top of the Peak of Inflated Expectations. (Yay!) It is time for production deployments, and that reveals new challenges. Some of these challenges are not really unheard of – they reflect a lack of capabilities […]

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How Enterprise Investments in AI Changed During the Pandemic

by Svetlana Sicular  |  July 22, 2020

Speculations about the state of artificial intelligence in the enterprise are plentiful and inconsistent.  The COVID-19 pandemic just aggravates those speculations.  Some people say that AI helps a lot – for modeling the economy reopening, tracing contacts, coming up with the treatment and much more. Some others are saying that AI failed, because when data […]

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The Big Data Obituary

by Svetlana Sicular  |  October 3, 2018

Today, the rivals and big data pioneers Cloudera and Hortonworks announced their merger. In our last year’s Hype Cycles, we marked “Big Data” and “Hadoop Distributions” as obsolete before plateau. They are off the hype cycle this year, but I want to preserve the obituary of big data that my colleague Mark Beyer wrote in 2017, […]

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And the 2017 Cool Vendors Are…

by Svetlana Sicular  |  June 1, 2017

This is the time of our Cool Vendors season finale — the reports showcasing fascinating technologies and breakthrough ideas are out. The season usually starts in January, when analysts submit the names of vendors that impressed them the most.  It is purely an analyst choice whether to submit and what. The criteria by which a […]

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Hadoop is dead, long live Hadoop!

by Svetlana Sicular  |  September 29, 2016

This year, we are celebrating the 10th anniversary of Hadoop. In 2006, we lived in the dark ages of data: Several databases were old news and a single Gartner analyst was covering them all. Today, a whole team of Gartner database analysts could barely handle all the new options. In summer 2009, baby-elephant Hadoop made its […]

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Centaur Intelligence: Half-Human, Half Machine

by Svetlana Sicular  |  September 20, 2016

I call the symbiosis of a man and a machine Centaur Intelligence, in which the head is always human: people do at what they excel — curiosity, creativity and compassion. And machines do their best too: learn at scale, crunch data and answer questions lightning fast. Machine answers require a human interpretation to turn correlations […]

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Balancing Data and Analytics Governance

by Svetlana Sicular  |  April 26, 2016

If you hear someone saying “D&A” it is not “DNA.” D&A stands for “Data and Analytics.” (Not “Depreciation and Amortization” or “Drug and Alcohol.”) The term “Information” has been confusing for years, it led to many information-interpretation debates:  what’s the difference between data and information? is information about analytics? how do we manage information if we […]

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A Secret Sauce of Data Governance

by Svetlana Sicular  |  February 28, 2016

When Gartner clients ask me how to start data governance, they often expect some magic solution. And they are right — such magic exists: it’s the people. Find others — SMEs, executives, business stakeholders — who deal with data at their own in capacity, and talk to them. Ask them what keeps them up at […]

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Who Owns the Data?

by Svetlana Sicular  |  February 17, 2016

The greatest meaning of “big” in “big data” is the role of data in the digital economy. The question who owns the data is big too. With IoT and cloud, data ownership will matter soon even to those who don’t care now. And there is no universal answer — data ownership is culture-specific. In some cases, nobody […]

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