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OUR SPEAKERS

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Shani, VP of AI at Laguna Health, is an esteemed Data Science leader with deep expertise in NLP, particularly within the healthcare and e-commerce industries. Her distinguished career includes co-founding Mevidence as the Chief Data Science Officer and honing her NLP research skills at GE Healthcare. Shani's academic foundations are in Industrial Engineering, with a Bachelor's degree from Ben-Gurion University and a Master's from Tel Aviv University.

Driven to build communities, she founded NLP IL in 2020, a thriving Israeli NLP community, and plays a pivotal role in Baot, Israel's largest network for women in senior R&D positions, where she also manages the "Find Your Next Job" mentorship program.

Shani Gershtein

VP of AI
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English, Hebrew
Languages:
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Location:
Hadera, Israel
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Can also give an online talk/webinar
Paid only. Contact speaker for pricing!

MY TALKS

Boost Your Chat-Bot Using Unsupervised Machine Translation

Data / AI / ML, Entrepreneurship

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Let’s say you have a well speaking English chat-bot. You already have a successful solution for English, and you start thinking about your next users: those coming from Spain, Japan, perhaps Israel.
You’ll need to translate utterances from each language to English, run your current English flow, and - finally - translate your bot’s English response to the user’s native language.
Supervised machine translation is the obvious starting point, but getting paired corpora is very expensive, and even more so in a specific field, such as Healthcare or Finance.
In this talk, I’ll go over the steps of creating an unsupervised machine translation solution model, discuss the various challenges and opportunities, and review the latest industry solutions for understanding and generating multilingual text in specific domains, thus enhancing your bot’s language capabilities. I will also discuss the evaluation metrics and quality estimation methods you'll need to master it in production.

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Chat-Bots Response Generation: From a Rule-Based Solution to a Full Learning Model.

Data / AI / ML

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When building a chat-bot, rule-based response generation is the go-to starting point in many use cases. This is indeed a good place to start, but we can do better.
In this talk, we will survey methods for forging ahead your chat bot from a rule-based model to deep neural architectures, and the recommended steps in the middle. We'll discuss the challenges and opportunities in the space of natural language generation, how to generate text in specific domains, and how to formulate text from structured and unstructured data. We’ll also discuss evaluation metrics and quality estimation methods, to make sure you could also use your deep learning models in production.

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The Building Blocks of Next Word Prediction

Data / AI / ML

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Have you ever wondered how autocomplete works? Autocomplete sentences are currently integrated into almost every NLP tool.
In this lecture, I’ll go through the fundamentals of creating and implementing autocomplete sentences, and discuss the challenges and opportunities of achieving the desired results across domains.
In the last section, I’ll show you how to achieve exceptional results with code examples, and cover both assessment measures and quality estimation approaches. By the end of my talk, you will be able to build an accurate model for reading your users' minds.

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The race for getting better - revolutionizing operational efficiency and member outcomes through AI-powered care

Data / AI / ML, Innovation

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In the healthcare's evolving landscape, our AI 'contextual care' model is a standout innovation. Analyzing over 6,000 provider/patient dialogues, we've identified 12 key barriers across social and clinical spectrums. Our Laguna AI leverages NLP to dynamically structure conversations and spotlight these challenges.
Using machine learning and advanced language models, our engine discerns barriers and offers actionable solutions. It's an adaptive system, perpetually fine-tuned to individuals' shifting needs. Generative AI further transforms it into a real-time care assistant, adeptly fielding member inquiries.
Join us for an insightful exploration of our transformative impact. We will share how it enhances operational efficiency and patient care, charting the course for tailored healthcare. We invite you to envisage a future where healthcare is elevated by cutting-edge, data-driven solutions— a voyag of innovation, collaboration , and empowerment.

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Boost Your Chat-Bot Using Unsupervised Machine Translation

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Chat-Bots Response Generation: From a Rule-Based Solution to a Full Learning Model.

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The Building Blocks of Next Word Prediction

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The race for getting better - revolutionizing operational efficiency and member outcomes through AI-powered care

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