MARLBOROUGH, MASS., Oct 31, 2019 — Quantiphi, an award-winning applied artificial intelligence (AI) and big data solutions and services company, has been selected by TensorFlow as a Trusted Partner to deliver cutting-edge Artificial Intelligence and Machine Learning solutions to solve complex business problems for enterprises.
Being one of TensorFlow’s Trusted Partners allows Quantiphi to implement cutting-edge AI and ML solutions across industry enterprises, leveraging TensorFlow’s latest innovations. As part of the TensorFlow Trusted Partners program, Quantiphi’s clients can stay ahead of the innovation curve in AI and ML.
“This partnership is a reflection of our expertise in building and deploying practical ML-centric business solutions at scale” said Asif Hasan, Co-founder, Quantiphi, Inc. “As one of the early adopters of TensorFlow, Quantiphi has delivered a wide variety of end-to-end ML workflows for mission-critical business applications. As a TensorFlow Trusted Partner we are focused on implementing cutting-edge ML solutions for enterprises, and unlock the potential to transform their business models and create new revenue streams.”
For enterprises, getting started with ML can be challenging, but they don’t have to be an expert to consider ML solutions for their business. That’s why we launched the TensorFlow Trusted Partner Pilot, which connects enterprises with system integrators who can help solve business problems with the right ML solutions” said Kemal El Moujahid, Product Director for TensorFlow. ”Quantiphi has demonstrated their expertise in building and deploying TensorFlow based AI/ML solutions for businesses at scale, and we look forward to breakthrough techniques and solutions they will bring to their clients.”
Quantiphi excels at leveraging the Tensorflow platform for developing end-to-end workflows that power ML-driven applications at enterprise scale. From using TensorFlow’s expressive Symbolic and Imperative APIs for developing novel neural network architectures, to authoring serving pipelines for large-scale workloads, Quantiphi is able to efficiently translate state-of-the-art research into production-ready solutions, allowing businesses to harness the power of latest advances in AI and ML.
For use-cases that involve using machine learning in resource-constrained environments, like embedded and mobile applications, Quantiphi has used TensorFlow Lite’s model compression capabilities to achieve low inference latency without sacrificing model performance.
Quantiphi is an award-winning applied AI and big data software and services company driven by the desire to solve transformational problems at the heart of business. Its unique approach combines deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge machine-learning research to achieve quantifiable business impact. For more on Quantiphi’s capabilities, visit www.quantiphi.com.