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Gartner names AyasdiAI a “Cool Vendor”

05.14.2013 | By Mark Speyers
 

As mentioned in the Wall Street Journal, two and a half years ago, Dr. Pek Lum, a biologist who had spent more than a decade in pharmaceuticals, saw a stunning discovery when she met Ayasdi’s co-founders for the first time. By complete coincidence, they happened to be looking at a breast cancer dataset that she had produced while at Merck twelve years before. She knew this dataset inside and out. But, using Ayasdi’s software, she saw something strikingly different and unique.

Specifically, Pek saw that the data formed a “Y” shape that looked like a two-earned worm. Within minutes, she identified a new sub-population of surviving patients that, based on their genetic markers, were supposed to have died. Having used nearly every leading analytical and statistical tool available, Pek immediately knew that Ayasdi’s co-founders were onto something big. Soon after, Pek joined Ayasdi as the VP of Solutions and Chief Data Scientist and worked to get this discovery scientifically validated and published in Nature’s Scientific Reports.

We are so honored to be recognized for such revolutionary work in the area of life sciences. Gartner called us a “Cool Vendor” that is “innovative, impactful, and intriguing.” Congratulations to our entire team that has made this recognition possible with their purposeful and innovative work. It inspires us, even more to know we are doing impactful work for the planet while building amazing technology for the generations to come.

About the Gartner Cool Vendor Report:

Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

As mentioned in the Wall Street Journal, two and a half years ago, Dr. Pek Lum, a biologist who had spent more than a decade in pharmaceuticals, saw a stunning discovery when she met Ayasdi’s co-founders for the first time. By complete coincidence, they happened to be looking at a breast cancer dataset that she had produced while at Merck twelve years before. She knew this dataset inside and out. But, using Ayasdi’s software, she saw something strikingly different and unique.

Specifically, Pek saw that the data formed a “Y” shape that looked like a two-earned worm. Within minutes, she identified a new sub-population of surviving patients that, based on their genetic markers, were supposed to have died. Having used nearly every leading analytical and statistical tool available, Pek immediately knew that Ayasdi’s co-founders were onto something big. Soon after, Pek joined Ayasdi as the VP of Solutions and Chief Data Scientist and worked to get this discovery scientifically validated and published in Nature’s Scientific Reports.

We are so honored to be recognized for such revolutionary work in the area of life sciences. Gartner called us a “Cool Vendor” that is “innovative, impactful, and intriguing.” Congratulations to our entire team that has made this recognition possible with their purposeful and innovative work. It inspires us, even more to know we are doing impactful work for the planet while building amazing technology for the generations to come.

About the Gartner Cool Vendor Report:

Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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