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Inna Sela
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Inna Tokarev Sela is a Hi-Tech Executive with over 15 years of expertise in software strategy, development, delivery, and partner management. She is deeply passionate about technology, particularly in areas like Machine Learning, Deep Learning, Augmented Reality, and Enterprise Market Trends. In various meetups and hackathons, Inna enjoys socializing, sharing knowledge, and mentoring.
Currently serving as the Head of Sisense AI Group, Inna focuses on advancing Data Science and Engineering capabilities to enhance engines and tools for Augmented Data Preparation, Augmented Modeling, and Augmented Analytics. She leverages technologies such as NLP, Knowledge Graph Recommendation Systems, and AutoML. In her previous role, Inna actively contributed to SAP's transition to the cloud, Big Data, and Cognitive Computing.
Inna Tokarev Sela excels in driving execution, facilitating alignment among stakeholders, attracting resources, devising strategies, and orchestrating activities to achieve organizational goals. She is adept at inspiring a shared vision and embodies qualities such as high integrity, strong work ethics, and a passion for solving puzzles and riddles.
Her educational background includes a Master of Science in Management, Information Systems from Tel Aviv University, and a Bachelor of Science in Computer Science and Physics from the same institution.
Highlights
💡 So far I have had conversations with Data Leaders from at least 10 countries - according to the data below, I have the opportunity to have engaging and enlightening discussions with like-minded (well not always ;) ) practitioners from 48 more countries.
Many of you attended my session on #SemanticAI - feel free to connect here to continue learning from each other.
A few insights from the conference from Day 1:
- last year 2 sessions on GenAI, this year 50% GenAI centric, 25% on the data AI-readiness, 25% on the governance topics;
- the pricing differs so much between providers and even on a weekly basis - it is imperative not only to orchestrate the LLM runtime to prevent lock-in but also to minimize costs;
- #EIC- everything is a chatbot is a new buzzword in the hood :), thank you, Raghvender Arni from #AWS, for a great session on the #GenAI fine-tuning techniques.
- A few vendors shared that currently the biggest portion of their GTM projects for GenAI is focused on structured data
- Quality assurance benchmarks for LLMs, like MoDS, are being updated frequently: this is something that agentic AI solution providers should keep in mind and use
- Cyber nocks on the CDO Office door- with over 107 regulations over data use and compliance, cyber and governance is one of the most pressing topics for CDOs (SBOM/DBOM)
- bring your analytics to where you data is, not the other way around (the Data Fabric approach is picking up)
- build vs buy is not a binary decision - no one vendor has it all sorted out in the data management space
More points to come, stay tuned
#CDOIQ2024 #GenAI #LLM #AIGovernance

Couple of days to go to the CDOIQ MIT. The agenda is oacked and exciting.
Contact me, Yonatan Landau or Alex Vayner to brainstorm your challenges in the structured data mapping, reconciliation and governnace, especially for the Agentic Analytics (GenAI chatbot) deployment. We got your back with an enterprise grade solution which already works customers in Financial, Pharma and Retail industries.
check out my session 5G on the Semantic AI and its benefits as a RAG alternative.
#CDOIQ

