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40+ years of (product) marketing, business development, general management, and board…
Articles by Rene
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Apply NOW to the ScaleNL Accelerator West Coast 2023 Program – Your Fastpass to US Market Entry
Apply NOW to the ScaleNL Accelerator West Coast 2023 Program – Your Fastpass to US Market Entry
By Rene Bonvanie
Activity
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Wow!!! So exciting to kick off the week by ringing the NYSE opening bell with outstanding Israeli entrepreneurs. It was an honor to represent Cyera…
Wow!!! So exciting to kick off the week by ringing the NYSE opening bell with outstanding Israeli entrepreneurs. It was an honor to represent Cyera…
Liked by Rene Bonvanie
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This week was all about the Cyera team. We're growing super fast, so it's crucial to double down on our people to maintain and strengthen our…
This week was all about the Cyera team. We're growing super fast, so it's crucial to double down on our people to maintain and strengthen our…
Liked by Rene Bonvanie
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Hear from our #ordr CEO Jim Hyman on why customers are turning to Ordr to proactively see and manage all their connected assets as one of the most…
Hear from our #ordr CEO Jim Hyman on why customers are turning to Ordr to proactively see and manage all their connected assets as one of the most…
Liked by Rene Bonvanie
Experience
Education
Patents
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Multi-model Based Target Engagement Sequence Generator
Issued US 20200311513
To identify a target engagement sequence with a highest likelihood of realizing an opportunity, a target engagement sequence generator uses models (artificial recurrent neural network (RNN) and a hidden Markov model (HMM)) trained with historical time series data for a particular combination of values for opportunity characteristics. The trained RNN identifies a sequence of personas for realizing the opportunity described by the opportunity characteristics values. Data from regression analysis…
To identify a target engagement sequence with a highest likelihood of realizing an opportunity, a target engagement sequence generator uses models (artificial recurrent neural network (RNN) and a hidden Markov model (HMM)) trained with historical time series data for a particular combination of values for opportunity characteristics. The trained RNN identifies a sequence of personas for realizing the opportunity described by the opportunity characteristics values. Data from regression analysis indicates key individuals for realizing an opportunity within each organizational classification that occurred within the historical data. The HMM identifies the importance of each persona in the sequence of personas with communicates to the key individuals. The resulting sequence of individuals indicates an optimal sequence of individuals and order for contacting those individuals in order to realize an opportunity. The importance values associated with the key individuals informs how to efficiently allocate resources to each individual interaction.
Other inventorsSee patent
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English
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Dutch
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French
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German
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I'm thrilled to announce that I'll be speaking at the 50/50 Women on Boards Global Summit on September 10th in New York. Join me as I moderate the…
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Check out what your peers are saying about Cyera! ✅ Staff Engineer, Security Operations in the Software Industry gives Cyera Platform 5/5 Rating in…
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Join us for a live demo about Cisco FTD and ASA Firewall deployments: https://bit.ly/4fAanW6 You'll learn how to: ✴️ Auto-identify every device on…
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