Run Fast or Run Far: Product Validation Strategies

Cato Networks, Mozzarella, and Product Tank TLV are excited to invite you to our in-person meetup!

Run Fast or Run Far: Product Validation Strategies
July 18 @ 6:30 pm

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What’s On The Agenda?

• 18:30 - Food, fun and photo booth (your new LinkedIn profile pic)
• 19:00 - How PMs Can Move Fast in a Complex Cloud Environment with Feedback Loops - Ofir Agasi, VP Product, Cato Networks
• 19:30 - Maintaining Focus When Running Data Science Products, Paz Aviv - Product Lead, Riskified
• 19:50 - Panel Discussion - with Lior Cohen, Shelly Shmurack and Paz Aviv. Moderator: Odi Paneth, ProductTank TLV, Senior Product Manager @ Contentsquare

Can't wait to see you there!
Cato Networks office, TLV, Menachem Begin 121, 44th flr
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**How PMs Can Move Fast in a Complex Cloud Environment with Feedback Loops**

In a fast-moving cloud company with high volumes of users, a complex production environment and frequent product releases, PMs need to move fast. However, moving fast is challenging in such a large-scale cloud environment.
In this session, I will explain how PMs can leverage cloud tools to produce short product feedback loops. By obtaining customer feedback and additional types of feedback loops, PMs can determine which features and capabilities to prioritize and how the changes they make will affect users and the environment.
The talk is based on Cato’s internal techniques for ensuring gradual feature releases, measuring adoption rate measurement and obtaining user feedback for prioritization.

Ofir Agasi, VP of Product Management at Cato Networks
Ofir has over 15 years of network security expertise in systems engineering, product management, and research and development. Prior to Cato Networks, Ofir was a product manager at Check Point Software Technologies, where he led mobile security, remote access and data protection product lines.

More about Cato Networks
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**Maintaining Focus When Running Data Science Products**
Research projects tend to take more time than an average feature development project. Since PMs are sometimes wary of getting involved in the research process, data scientists often find themselves running alone and unguided for long periods of time.
In this session I will provide PMs with powerful tools for writing the perfect requirements for data projects and for validating their value along the way. After this session you will be able to focus data science teams throughout the research process and get them fully engaged towards delivering value to customers, in the shortest time to market.

**Paz Aviv, Product Lead at Riskified**
An experienced PM from FinTech companies that specializes in fraud detection ML/AI products.
Managing a team of PMs that work together with Data Science & Dev teams on creating the best Machine Learning products that make e-commerce purchases safe.

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**Panel ** - ״Product Validation״

**Odi Paneth, Senior Product Manager at Contentsquare**
Odi Paneth is a community manager, a senior product manager @ Contentsquare and a huge beer geek.
He fell in love with the product while QA'ing a mobile app for bar owners 7 years ago. Since then he has built several successful products in the field of analytics, gaming and IoT.
He has been producing community based meetups for the past 4 years with ProductTankTLV, interviewing over 100 product leaders for a weekly interview spot.
Odi is well known for never shutting-up about beer, and aspires to open his own micro-brewery.

**Lior Cohen, Product Manager at Cato Networks**
Lior is a Product Manager at Cato Networks, leading Security Products & Services.
In the past 15 years he held a wide range of positions at top Cyber Security companies such as Check Point and Forescout in R&D, Product, Architecture and Sales.
Lior specialises in data-driven Product Management and combines his passion for big-data and Security problems-solving, for building the next generation of converged cyber security solutions.

**Shelly Shmurack, Senior Product Manager at Walmart Aspectiva**
Shelly Shmurack is a Senior Product Manager in Walmart Aspectiva, where she leads products on the Data, AI & NLP domains.She is a founding member and co-host at ‘Mozzarella’ - the product management podcast, and a founder and leader of the Mozzarella community for data & AI product mangers.

**Paz Aviv, Product Lead at Riskified**
An experienced PM from FinTech companies that specializes in fraud detection ML/AI products.
Managing a team of PMs that work together with Data Science & Dev teams on creating the best Machine Learning products that make e-commerce purchases safe.