Anywhere Club Podcast

In this insightful video, Viktor Vedmich, Senior Developer Advocate at AWS, delves into a suite of AWS services meticulously crafted for developers. He provides an in-depth exploration of Amazon Q, a generative AI-powered assistant designed to streamline development workflows. Viktor also introduces Amazon Q for Developers, an extension that offers advanced coding assistance, and Amazon Bedrock, a fully managed service that simplifies the creation and scaling of generative AI applications. This comprehensive guide is essential for developers aiming to leverage AWS's cutting-edge AI tools to enhance productivity and innovation. NAVIGATION0:00 Start0:17 Generative AI1:13 What kinds of AI-related servicesdoes AWS provide for developers?3:46 What is Amazon Q?8:29 How can we start working withAmazon Q Developer?9:46 More aboutAmazon Q Developerand IDE integration?11:28 How can you convince your bossthat Amazon Q is safe enoughto use on a project?14:00 Final words AI IN AWS🔸 Amazon Bedrock: https://aws.amazon.com/bedrock🔸 Amazon Q: https://aws.amazon.com/q/🔸 Amazon Q for Developers: https://aws.amazon.com/q/developer/ COURSES BY ENGX👉 Integrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development. with course "AI for software Engineers on EngX": https://aw.club/global/en/courses/ai-supported-software-engineering👉 Integrate a generative AI toolset into your product development processes to boost team performance with course "AI adoption for teams": https://aw.club/global/en/courses/generative-ai-adoption-for-engineering-teams👉 Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop WHERE TO WATCH US AND LISTEN🔸 YouTube: https://youtu.be/0kXQHpaVLFM🔸 Apple Podcasts: https://bit.ly/awclub-en-apple🔸 Spotify: https://bit.ly/awclub-en-spotify🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/32 #awclub #engx #ai

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