Woburn, Massachusetts (PRWEB) May 05, 2017
Knowmail, an intelligent inbox assistant for professionals, has developed a secured and private enterprise solution using personalized artificial intelligence to help professionals focus on things that matter most, do more with less effort and balance work and life. Their AI privately learns user’s behaviors, habits, and preferences, and improves email communication within their various solutions: Microsoft Outlook, Cortana, and a standalone bot.
This Artificial Intelligence recruitment round further expands their team and talents, skills, and experience, attending all facets of their solution’s needs. It helps improve its algorithm development and accuracy, capabilities and advantages in the arenas of machine learning, NLP, and deep learning, along with a push to re-release and expand its suite of solutions and offering.
Knowmail’s AI team consists of veteran statisticians, data scientists, developers, engineers, and mathematicians.
To gain the benefits of Knowmail for yourself, invites are open and accepted directly on the site per your platform of choice.
Knowmail’s Artificial Intelligence team:
Avi Mandelberg: CTO and cofounder
Avi has ~20 years’ experience in software development, R&D and technology innovation including machine learning and NLP. His background includes founding startups, corporate positions such as Verint, as well as patent development. At Knowmail, his focus is AI for relevant personalization for the Information Worker, voice UI, as well as algorithm development.
Yury Gubman PhD: AI Team Leader
Yury has over 15 years of Statistics and AI experience in a variety of roles including hi-tech, government, and academics.
His experience also includes Lead Data Scientist in the Israeli Police, and expanded research and instruction as a Lead researcher of the Central Bureau of Statistics.
Within his background, he developed Machine Learning algorithms, led advanced statistical research and computational implementation, as well as lectured and trained within associated subjects.
David Guedalia PhD: Data Scientist
David is technologically proficient in Machine learning and AI, IoT, Internet and telecom, image and signal processing, software system architecture and engineering.
His MA and PhD thesis were in dynamic neural networks for classifying non-stationary data.
David's background consists of his position of VP Technology at Qualcomm Innovation Center, including CTO, VP R&D, Chief Architect, and more within various reputable companies and start-ups.
Mark Neizvestny PhD: Algorithm Developer
Mark has a PhD in Applied Mathematics and covers over 40+ years’ mathematics, scientific computing, and algorithm development background.
His experiences include: numerical methods and computer algorithms of function approximation and optimization, optimal electric filters design, computer aided geometric design, image and speech processing, computer vision, scientific findings publications, and more.
Meir Cohen: Data Scientist
A statistician and developer, Meir has been Knowmail’s data scientist from day one. He studies communication habits, builds data-oriented models including further optimizing and expanding per results and growing needs.
He has grown from data research into intelligence modeling and algorithm programming.
Alex Strugatsky: Algorithm Developer
With over 20 years of software development and engineering experience, Alex has vast background in numerous programming languages, algorithm creation including mobile development. Within his broad work experience are positions at Rafael Advanced Defense Systems and Elbit Systems Ltd.
The key to a trustworthy and personalized artificial intelligence which can understand users’ behaviors relies on the ability to combine NLP, cognitive & social analytics, low-level algorithm development, and pure math. Knowmail’s AI team includes talented engineers who correspond to such a need and collaborate to achieve the vision of helping professionals stay focused and do more at work with less effort and stress.