Speaker

Yael Daihes

Yael Daihes

Chief Data Scientist and Cybersecurity Leader | Independent Consultant

Tel Aviv, Israel

Actions

Yael is a distinguished AI leader with a specialization in cybersecurity, shaped by her 8-year tenure in the Israeli defense forces. Her foundational experience equipped her with invaluable skills that led to her spearheading various R&D AI initiatives. Her leadership left a significant mark in both the defense forces and the private sector, notably contributing to the growth and success of a company that was later acquired for $600 million.
An accomplished strategist, Yael brings a unique blend of hands-on experience, strategic insight, and a proven track record of steering organizations towards data-driven excellence. With a wealth of experience spanning various industries, Yael serves as a trusted advisor and leader, guiding businesses across sectors to establish and manage highly successful AI ventures.

Area of Expertise

  • Business & Management
  • Information & Communications Technology
  • Health & Medical
  • Physical & Life Sciences

Topics

  • Artificial Inteligence
  • Machine Learning and Artificial Intelligence
  • Developing Artificial Intelligence Technologies
  • Artificial Intelligence and Machine Learning for Cybersecurity
  • Artificial Intelligence (AI) and Machine Learning
  • Artificial Intelligence and machine learning
  • Cybersecuirty
  • Cybersecurity Strategy
  • AI and Cybersecurity
  • Cyberthreats
  • Data Management
  • Executive Advisory
  • Executive Leadership
  • Women executive
  • Machine Learning
  • AI & Machine Learning
  • Big Data Machine Learning AI and Analytics
  • BigData and Machine Learning
  • Big Data
  • Big Data Analytics
  • Analytics
  • Data Analytics
  • Data Science
  • Data Science (AI/ML)

Hit the (ML) road(map) Jack

With the advancement of AI, it seems there isn’t a task unsolvable by this amazing technology, and no wonder every type of product wants to leverage it. You hire the most brilliant researchers and wait for the magic to happen, but apparently, not every scientist can translate a business problem into a research task, and not every business leader can vividly define achievable goals for the ML organization.

Imagine a digital health company that holds electronic medical records of thousands of patients. I believe we would all immediately assume their ML organization is creating some form of a diagnostics model, to ultimately improve the patients’ health. But, is that necessarily the best way to improve someone's health given this type of data? Maybe it would be more helpful to predict the severity of each patient's case and offer prioritization? And who said that improving patients’ health was even the company's objective? Maybe their objective is to optimize the doctor’s clinic operation.

Therefore, it is key to master the art of understanding the business needs and translating them to an AI research project. In this talk I will share my technique for learning a new business from a data science point of view and provide the pillars for building a realistic roadmap for an ML organization in a way that optimizes the business’ needs.

Yael Daihes

Chief Data Scientist and Cybersecurity Leader | Independent Consultant

Tel Aviv, Israel

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top