Quantiphi, Inc., a Google Cloud Services Partner, announced today that it has received Specialization Status in Machine Learning as part of Google Cloud’s new Partner Specialization Program. Machine learning powers some of the most sophisticated features of digital products today such as computer vision, language translation, predictive text, product recommendations and fraud detection.
“We started Quantiphi over three years ago with the belief that artificial intelligence and machine learning will be essential building blocks of digital transformation, and a new breed of expertise will be necessary to help businesses harness the full potential of these technologies” said Asif Hasan, Co-founder, Quantiphi, Inc. “We are committed to bringing the power of Google Cloud Platform’s machine learning technologies together with Quantiphi’s experience and proven use cases in applied machine learning to customers of any size who want to achieve transformational analytics.“

Quantiphi has put together a wide array of machine learning models that help businesses build AI products, find and retain high value customers, improve operating efficiencies and reduce risk across several industries including Healthcare, Insurance, Media, Retail, Manufacturing and Consumer Products.

“Today, we are excited to be selected by Google as a launch partner of the Specialization Program. The recognition of our ability to bring machine learning solutions to the mainstream enterprise at scale with Google Cloud Platform is a game changer” says Hasan.

About Quantiphi Inc

Quantiphi is a category defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of big data and machine learning technologies into quantifiable business impact. It is founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps its clients to find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.