Anywhere Club Podcast

In this episode, Aleksas Drozdovskis, an Experience Consultant, and Roman Zatitsky, a Product Manager, dive into the idea of "product thinking" from an engineer’s point of view. They chat about how product thinking helps with career growth, influences business decisions, reduces team stress and burnout, and makes engineers more aligned and effective. 🔹Aleksas Drozdovskis: https://www.linkedin.com/in/drozdovskis/🔹Roman Zatitskiy: https://www.linkedin.com/in/zatitskiyrb/ NAVIGATION00:00 Introduction of Aleksas Drozdovskis00:58 What is product mindset04:24 Why should i care about discovery and business value10:03 Who gets more promotion?11:36 How product mindset can decrease the tension between engineers teams and business teams14:27 Story about project to product transformation17:09 How to cultivate a product-oriented culture in a team20:53 How product mindset influence on the impact that engineers have24:22 Engineers build features based on discovery that don't get used28:57 Sum up31:09 Final COURSES FROM EPISODE👉 Generative AI for managers: https://aw.club/global/en/courses/gen-ai-for-managers👉 AI adoption workshop for engineering teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop👉 EngX HI: Navigating Team Dynamics: https://aw.club/global/en/courses/navigating-teams-dynamics WHERE TO WATCH US AND LISTEN🔸 YouTube: https://youtu.be/R9hKz5pJEwk🔸 Apple Podcasts: https://bit.ly/awclub-en-apple🔸 Spotify: https://bit.ly/awclub-en-spotify🔸 Download mp3: 'simplecast episode link placeholder' #awclub #engx #productthinking

👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef👉 Join the EngX: https://epa.ms/engx-club How AI is Revolutionizing Cancer Research and Treatment? In this episode of the ZuriAI podcast, we explore how AI is transforming the prediction, diagnosis, and treatment of cancer. Artem Shmatko, a doctoral student and ML researcher at the German Cancer Research Center, explains AI’s growing influence in oncology. We discuss:What cancer is and why it’s challenging to prevent and diagnoseHow AI is impacting drug discoveryMedical data aspects and limitationsThe role of computer vision in histopathologyChallenges related to data management and patient privacy NAVIGATION0:00 Start0:43 EngX1:20 Meet our expert, Artem Shmatko1:49 What is cancer? Complexity and diversity of cancers.6:52 Why is it so difficult? Challenges of preventing cancer10:17 How AI is becoming a pivotal tool in cancer prevention and treatment strategies.12:40 MRI as a prevention technique.14:38 The role of AI as a decision-support system in clinical settings.22:01 AI in drug discovery. Transforming cancer treatment pipelines.26:42 AI-powered recommendation systems for defining focus groups in clinical trials.28:14 The complexities of data ingestion and collection in cancer research.30:39 Handling patient-sensitive data: The ethical and technical challenges.34:13 Certification and regulation in AI-driven oncology.36:24 How computer vision and histopathology diagnostics are being redefined by AI.38:27 The importance of image size and resolution in cancer diagnostics.41:44 Discussing the potential of 100k*100k pixel resolution in medical imaging.43:05 The technical limitations in cancer detection using computer vision.46:03 Multiple instance learning49:27 Data challenges in AI-driven oncology.53:35 The role of open-source platforms in advancing medical AI.57:26 Forecasting the impact of AI on the future of cancer prevention and diagnostics.1:00:35 What industry challenges can AI overcome in oncology? LINKS FROM THE EPISODE🔹 AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM🔹 What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer🔹 Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/🔹 AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4🔹 On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942🔹 Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757🔹 Automating drug discovery: https://doi.org/10.1038/nrd.2017.232🔹AI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4🔹 Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3🔹 https://www.nature.com/articles/s41586-024-07441-w🔹 Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8 WHERE TO WATCH US AND LISTEN🔸 YouTube: https://youtu.be/XreqENCkpqE🔸 Google Podcasts: https://bit.ly/awclub-en-google🔸 Apple Podcasts: https://bit.ly/awclub-en-apple🔸 Spotify: https://bit.ly/awclub-en-spotify🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/30 #awclub #engx #ai #oncology

👉 Join the: https://epa.ms/engx-club👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef Check out this episode where a JavaScript Frontend Engineer goes through a job interview. Join us as Shakhzod Khodjaev, our candidate, faces some programming challenges and answers questions from our interviewer, Viktor Soroka.At the end, both the interviewer and interviewee share their honest thoughts about how it all went. They’ll talk about areas that could be improved and point out some helpful resources suggested by our EngX community leader, Roman Zatitskii, like "AI-supported Software Engineering" and "AI-supported Testing," to boost your AI knowledge.This episode is a great way to see a technical interview in action—don’t miss it! NAVIGATION00:00 Intro01:55 Introduction of participant03:01 Theoretical part 143:17 Practical task: Event Loop48:25 Theoretical part 252:20 AI prompt engineering56:44 ENGX courses announcement59:36 Critical thinking task1:22:30 GenAI adoption program for engineering teams1:24:20 Feedback session WHERE TO WATCH US AND LISTEN🔸 YouTube: https://youtu.be/-5XD9OH4w-4🔸 Google Podcasts: https://bit.ly/awclub-en-google🔸 Apple Podcasts: https://bit.ly/awclub-en-apple🔸 Spotify: https://bit.ly/awclub-en-spotify🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/29 #awclub #engx #mockinterview

Unlock the key to better collaboration between Product Managers and Developers. Learn the importance of Product Discovery, how AI can boost it, and quick tips to validate ideas. Get actionable insights to become a more product-focused developer! NAVIGATION0:00 Start0:53 What common misconceptions might developers have about this role?1:45 How does thinking in terms of value help bridge the gap between Product Managers and Tech Teams?2:38 Can you give concrete examples of misconceptions?3:08 What is Product Discovery, and why is it crucial to perform it alongside product delivery?4:16 How can developers benefit from understanding this process?5:08 Why is Product Discovery so important?6:30 Why should Product Discovery be done using AI?7:32 How can developers help test product ideas without fully building them? What techniques are used to validate hypotheses effectively?9:03 What are the best practices for Product Managers and development teams to communicate and collaborate effectively?10:13 How can a developer be more product-focused?11:05 How to practice? COURSES BY ENGX👉 AI-supported Software Engineering: https://epa.ms/106cIb👉 Prompt Engineering Foundations: https://epa.ms/ZQNYn👉 AI Supported testing: https://epa.ms/1DjKEP WHERE TO WATCH US AND LISTEN🔸 YouTube: https://youtu.be/b6Xla-jjoyE🔸 Apple Podcasts: https://bit.ly/awclub-en-apple🔸 Spotify: https://bit.ly/awclub-en-spotify🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/28 #awclub #engx #productmanagement