Binariks

🔥 Kyiv AI Day 2026 Main will take place on October 31! Among speakers: 🎤 Rostyslav Chayka: Lviv Startup Club / Lemberg Tech Business School, Founder & CEO 🎤 Ruslan Kurtveliiev: HackenProof, Agentic Security Engineer 🎤 Павло Лисий: Universe Group, AI Lead 🎤 Vitaly Bondar: theMind, ML Team Lead / Senior ML Researcher 🎤 Vitalik Miniaylo: Neurotrack.tech, CEO and Founder 🎤 Олексій Мінаков: Consultant & Educator in Generative AI 🎤 Denys Godovannyi: SoftServe, Senior Project Manager 🎤 Anton Spiridonov: GoodWill Tech, CEO & Co-Founder; Crowe Mikhailenko, Керівник напряму діджитал трансформації 🎤 Oleksandr Khainas: Expert-vetted Upwork consultant in Data Science | Ex-Upwork Ambassador in Ukraine 🎤 Yurii Pashchenko: AI lead at NDA 🎤 Vadym Kovadlo: Binariks, Senior Data Scientist 🎤 Volodymyr Koval: Singularika, CEO, Founder 🎤 Oleksandr R.: AImtraction | AI & Data Transformation Bureau, Засновник та директор з AI трансформації 🎤 Emin Can Turan: Pebbles Ai, CEO & Founder 🎤 Гліб Хлєстов: ЯПРО, CEO 📌 Join the conference: aiconf.com.ua/kyiv

Is AI the hard part of AI? Last week's AI & Human Collaboration panel at Data Science Week's 4th Data Science & AI Summit in London set out to answer that. Most AI panels talk about models, agents, and tools. This one was about the people. 1️⃣ People starting their careers Stanford University payroll data: employment for 22 to 25-year-olds in the jobs most exposed to AI has fallen about 19% behind their peers. Experienced workers show no gap. If AI writes the code junior engineers used to write, how does anyone become a senior engineer? 2️⃣ People who stop using the tools When someone quietly drops an AI tool after a month, what did the tool fail to do for them? 3️⃣ Decisions no one checks When AI makes thousands of decisions a day in healthcare, insurance, or finance, who supervises the ones nobody looks at? And if a person signs off on every one, how do you stop the easy ones from becoming a rubber stamp? 4️⃣ When to take the person out Massachusetts Institute of Technology reviewed 106 experiments. On average, a person working with AI did worse than the better of the two on its own. So when should the person step out? 5️⃣ Helping people grow An underwriter, a lawyer, or an engineer now spends most of the day checking what AI produced. What does their leader do so that person keeps growing? Buying the license doesn't make AI work. Design does: who gets to learn, who gets a person when it matters, and what our work becomes. Great perspectives from the panel: Natalia Kuroś- Senior AI & Microsoft 365 Consultant at Onex Group Serhii Yakovenko- Software Engineering Manager at Marks and Spencer Oleh Petrivskyy - Co-Founder & CEO at Binariks Ben Clarke - Founder at A2A Net Huge thanks to The People Events for organizing the summit at Radisson Blu Canary Wharf. Which of the five does your team have no answer for yet? 👇 #leadership #ai #softwareengineering #datascience #buildinpublic Source: Stanford Digital Economy Lab, 2026, "Canaries in the Coal Mine?" (August update). Vaccaro, Almaatouq and Malone (MIT), 2024, "When combinations of humans and AI are useful", Nature Human Behaviour.

📽 Invitation to AI & BigData Online Day 2026 Autumn from our speaker! 🎤 Vadym Kovadlo: Binariks, Senior Data Scientist 🎯 Topic of the report: Combining Interactive Dashboards with Conversational AI for Insight Discovery (UA) 🔎 More speakers and information about the conference – aiconf.com.ua/

🔥 We are glad to introduce new speaker of AI & BigData Online Day 2026 Autumn! 🎤 Vadym Kovadlo: Binariks, Senior Data Scientist with the report "Combining Interactive Dashboards with Conversational AI for Insight Discovery" (UA).            🔎 About speaker:      Senior Data Scientist with 10 years of experience, specializing in ML solutions for healthcare, risk prediction, and time-series analytics. My experience spans end-to-end ML development — from data exploration and feature engineering to model deployment and monitoring in production environments. I have worked on projects involving biomedical signal processing (Cardiomo), predictive modeling, and AI-driven decision support systems in pharmacology. Certifications: • AWS Certified Machine Learning – Specialty • Google Cloud Cerified Professional Machine Learning Engineer • Google Cloud Cerified Cloud Digital Leader • AWS Certified Cloud Practitioner Areas of interest: • Machine Learning & Predictive Modeling • Time Series Forecasting • Healthcare & Risk Analytics • Feature Engineering for Tabular Data • MLOps & Production ML 🔎 Presentation main points:     1. Problem Statement • Dashboards require manual exploration • Users often don’t know what to look for • Insights are hidden behind filters and drilldowns • Business users struggle with complex analytics tools 2. Traditional Dashboard Limitations • Static visualizations • Requires domain knowledge • Limited guided exploration • No proactive suggestions 3. Conversational AI as a Companion • Natural language interaction • Users can ask follow-up questions • AI suggests interesting slices 4. Architecture Overview • Data source • Dashboard layer (Plotly / Power BI / Tableau) • Conversational AI layer (LLM) • Context sharing between UI components • Suggestion engine 5. Interaction Patterns Pattern 1 — AI Suggests analysis → Dashboard highlights segments Pattern 2 — User clicks chart → AI Explains trend Pattern 3 — AI Guides Exploration: "You may want to check...", "This spike is driven by..." 6. Benefits • Faster insight discovery ⚡ • Reduced cognitive load 🧠 • Guided analytics • Democratization of data access • Better adoption of dashboards • Natural exploration workflow 7. Real Example / Use Case • Risk prediction dashboard • Incident analysis • Sales analytics • Operational monitoring Show: • Before: static dashboard • After: AI + dashboard 8. UX Design Best Practices • Place AI next to charts • Share context • Keep suggestions concise • Allow follow-up questions • Highlight changes visually 9. Challenges • Context passing • Hallucinations • Latency • Data security • Prompt engineering 10. Key Takeaways • Dashboards show data • Conversational AI guides exploration • Combined approach accelerates insights • Better experience for business users • "Dashboards answer questions — Conversational AI helps discover which questions to ask."  📌 Other speakers and info about the conference – aiconf.com.ua/