DataCouch
DataCouch
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From Idea to Impact: Product Management in the Age of Generative AI | Gen AI | Product Management
Unlock the future of product management in this insightful webinar, where we explore the transformative role of Generative AI across the entire product lifecycle. Whether you're a seasoned product manager or an ambitious start-up founder, this session delivers actionable strategies to innovate, accelerate, and optimize every stage-from ideation to market success.
🔍 Key Highlights:
💡 Ideation and Validation: Learn how generative AI drives creative brainstorming, analyzes market trends, and gathers user insights to refine product ideas.
🛠️ Development and Prototyping: Discover AI-powered tools for design, content generation, and rapid prototyping to accelerate development.
🚀 Launch and Iteration: Explore how AI enhances personalized marketing, streamlines user onboarding, and supports continuous feedback for product evolution.
🎯 Why Should You Watch?
This webinar is a must-watch for anyone seeking to harness AI for smarter, faster, and more impactful product management. Don’t just keep up-stay ahead of the competition with cutting-edge AI strategies.
⏩ Don’t Miss Out!
Catch all the exclusive insights and practical examples shared in this session. Transform the way you manage products with the power of AI!
💬 Subscribe for More!
If you enjoyed this session, hit the Subscribe button and turn on notifications to stay updated with our latest webinars and expert insights on AI, product management, and more.
📽️ Watch Now and Revolutionize Your Product Journey with Generative AI!
🌐 Follow Us:
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Facebook: datacouch/
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#GenerativeAI #ProductManagement #AIWebinar #Innovation #AIInBusiness #IdeationToImpact #FutureOfWork
Переглядів: 68

Відео

Implement Retrieval-Augmented Generation (RAG) with Azure OpenAI Service (AI102) | Azure | OpenAI
Переглядів 108День тому
Dive into an engaging webinar where we demystify Retrieval-Augmented Generation (RAG) and demonstrate its potential to elevate AI models by grounding responses in precise and relevant data. Whether you're an AI enthusiast or a seasoned developer, this session offers valuable insights into implementing RAG with Azure OpenAI Service, integrating custom data sources, and leveraging APIs for smarte...
Power BI Auto ML: Seamlessly Integrating AI for Enhanced Business Intelligence | Power BI | ML
Переглядів 10314 днів тому
📢 Transform the way you analyze and utilize data with cutting-edge AI in Power BI! This engaging webinar dives into the powerful AI-driven features in Power BI that are revolutionizing business intelligence. Discover how to unlock hidden insights, automate workflows, and make smarter, data-informed decisions. Perfect for data analysts, business professionals, and decision-makers, this session e...
Generate Code with Azure OpenAI Service (AI102) | Azure | OpenAI
Переглядів 11421 день тому
📽️ Watch this insightful webinar to discover how Azure OpenAI Service can revolutionize your development process! Learn to harness natural language prompts for generating code, automating unit tests, and improving documentation. Whether you're a beginner or an experienced developer, this session offers actionable insights and hands-on exercises to elevate your coding efficiency. 🔍 Key Highlight...
Building Natural Language Solutions with Azure OpenAI Service | (AI102) | OpenAI | Azure
Переглядів 107Місяць тому
Welcome to our AI-102 series! In this engaging webinar, we explore how to build powerful Natural Language Solutions using the Azure OpenAI Service. Whether you're a developer or AI enthusiast, this session will provide you with practical knowledge and hands-on experience to integrate Azure OpenAI into your applications, enhancing user experiences and optimizing operations. 🔍 Key Highlights: - A...
Building Responsible GAI Solutions with Azure OpenAI, DALLE (AI102) | Azure | OpenAI | Generative AI
Переглядів 1062 місяці тому
In this insightful webinar titled "Building Responsible GAI Solutions with Azure OpenAI & DALL-E (AI102)", we dive deep into Generative AI and its responsible implementation. As part of our AI-102 series, this session will guide you through the process of designing and managing Generative AI solutions using Azure OpenAI, with a special focus on the DALL-E model. Whether you're new to Generative...
Deep Dive into Azure AI Studio and Advanced Prompt Engineering (AI102) | Azure AI Studio
Переглядів 1002 місяці тому
Unlock the potential of Microsoft Azure AI Studio with this in-depth webinar from the AI-102 series. Whether you're a seasoned developer or an AI enthusiast, this session will take your skills to the next level by diving deep into advanced Azure AI Studio features and expert prompt engineering techniques. 🎯 Key Highlights: - Explore advanced features of Azure AI Studio: Learn to manage, deploy,...
How AI is Revolutionizing Retail Experiences | AI in Retail
Переглядів 842 місяці тому
Join us for an exclusive look at how AI is transforming the retail industry. In this insightful webinar, we explore how AI innovations are reshaping everything from personalized shopping experiences to inventory management and customer interactions. With 80% of retail executives recognizing AI as critical to future success, this session is a must-watch for anyone looking to stay ahead in the ev...
Building Smarter Solutions with Power Platform | Power Platform
Переглядів 992 місяці тому
Join us for an enlightening session on Building Smarter Solutions with Power Platform! Discover how the Microsoft Power Platform-a comprehensive low-code suite-empowers non-technical professionals to create, automate, and innovate with ease. 🔍 Key Highlights: - Understand the core capabilities of Power BI, Power Apps, Power Automate, and Power Virtual Agents. - Learn how to automate workflows a...
Introduction to GitHub Copilot | AI | GitHib Copilot
Переглядів 2143 місяці тому
In this comprehensive webinar, we dive deep into GitHub Copilot, the revolutionary AI-powered code assistant that transforms the way developers write code. Whether you're a professional developer or just beginning your coding journey, GitHub Copilot's intelligent code suggestions will enhance your workflow and spark creativity. 🔍 Key Highlights: - Overview of how GitHub Copilot works - Supporte...
How GenAI is Changing Day-to-Day Work of a Product Manager | AI | GenAI | Artificial Intelligence
Переглядів 1653 місяці тому
Discover how Artificial Intelligence is reshaping the daily responsibilities of Product Managers in this insightful webinar. Moving beyond theory, we delve into real-world applications that are transforming the way Product Managers approach their roles. Whether you’re looking to enhance your efficiency or stay ahead of industry trends, this webinar offers practical insights and demonstrations t...
Mastering Prompt Engineering with Azure OpenAI Service (AI102) | Prompt Engineering | Azure OpenAI
Переглядів 844 місяці тому
Unlock the power of Azure OpenAI Service by mastering the art of prompt engineering! In this engaging and insightful session, we dive deep into the techniques that engineers and developers need to design effective prompts, enhancing the accuracy and relevance of AI-generated responses. 🔍 Key Highlights: - Understanding Prompt Engineering: Learn the core principles of prompt engineering and its ...
Streamlining Machine Learning Pipelines using Vertex AI | ML | Vertex AI
Переглядів 1364 місяці тому
Dive into our latest webinar session where we explore how Vertex AI can revolutionize your Machine Learning processes. Discover how automation can elevate your ML lifecycle from data management to model deployment and monitoring, and learn how to create robust, scalable pipelines that drive efficiency and collaboration. 🌐 Key Highlights: - Master Vertex AI for efficient data management. - Autom...
Kickstart Your Journey with Azure OpenAI Service (AI 102) | Azure OpenAI Series
Переглядів 1344 місяці тому
Want to master Azure OpenAI? Don't worry, we've got you covered! 🌟 Watch this introductory video on Azure OpenAI, the first in a series of meetups where we explore various industry-level projects. Gain foundational skills to leverage Azure OpenAI Service in your projects. 🔍 Key Highlights: - Creating an Azure OpenAI Service Resource: Learn the setup and configuration essentials. - Understanding...
Governance in GenAI Landscape | Gen AI
Переглядів 935 місяців тому
As generative AI continues to revolutionize industries, understanding its governance is essential. In this video we delve into the ethical considerations, regulatory challenges, and best practices in governing Generative AI. 📢 Speaker: Jeremy Adamson, Author and AI Strategy Leader. 🔍 Key Highlights: - Explore key governance issues in generative AI - Strategies for implementing ethical guideline...
Exploring Generative AI with Azure AI Studio | Azure AI | Gen AI
Переглядів 2055 місяців тому
Exploring Generative AI with Azure AI Studio | Azure AI | Gen AI
Generative AI for Software Developers on Microsoft Azure!
Переглядів 716 місяців тому
Generative AI for Software Developers on Microsoft Azure!
Implementing RAGs using Amazon BedRock | Amazon BedRock | RAGs | AWS
Переглядів 1 тис.6 місяців тому
Implementing RAGs using Amazon BedRock | Amazon BedRock | RAGs | AWS
Prompt Engineering Essentials | Part 1
Переглядів 126Рік тому
Prompt Engineering Essentials | Part 1
Getting started with Azure OpenAI | Azure OpenAI Service | Microsoft Azure | OpenAI
Переглядів 224Рік тому
Getting started with Azure OpenAI | Azure OpenAI Service | Microsoft Azure | OpenAI
AWS Certified Cloud Practitioner | AWS Certification Guide | Cloud Practitioner | AWS
Переглядів 146Рік тому
AWS Certified Cloud Practitioner | AWS Certification Guide | Cloud Practitioner | AWS
Getting started with Starburst | Getting started with Trino | Apache Trino | Starburst Data
Переглядів 369Рік тому
Getting started with Starburst | Getting started with Trino | Apache Trino | Starburst Data
Ways to Perform AI/ML Part 2
Переглядів 64Рік тому
Ways to Perform AI/ML Part 2
Ways to Perform AI/ML Part 1
Переглядів 97Рік тому
Ways to Perform AI/ML Part 1
Deep Learning
Переглядів 53Рік тому
Deep Learning
Demo Google Vision API
Переглядів 2,9 тис.Рік тому
Demo Google Vision API
ML in an Intuitive way
Переглядів 135Рік тому
ML in an Intuitive way
Traditional Systems vs ML Based AI
Переглядів 26Рік тому
Traditional Systems vs ML Based AI
Supervised Machine Learning
Переглядів 22Рік тому
Supervised Machine Learning
Unsupervised Machine Learning
Переглядів 15Рік тому
Unsupervised Machine Learning

КОМЕНТАРІ

  • @EmilyLondon-m4i
    @EmilyLondon-m4i 23 дні тому

    Thanks for the analysis! Could you help me with something unrelated: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?

  • @BhaskarReddy-z6q
    @BhaskarReddy-z6q 23 дні тому

    Dataframes are lazy it's not rdd are lazy

  • @anushree3744
    @anushree3744 Місяць тому

    is there any open source kafka connector for node js for Postgres?

  • @HeyImAedRianne
    @HeyImAedRianne Місяць тому

    Thank you!

  • @sahilbajaj7809
    @sahilbajaj7809 2 місяці тому

    Hello, after running the source command on the bash profile, when I run pyspark, i get the error: Jupyter command `jupyter-’lab’` not found. Can you please help

  • @awaizmansoor3127
    @awaizmansoor3127 2 місяці тому

    Nice tutorial. Please make big project videos.

  • @kushalbaldev8490
    @kushalbaldev8490 3 місяці тому

    The best 20 minutes of Kafka

  • @PokemonParadise2010
    @PokemonParadise2010 4 місяці тому

    Thank you very much for this video sir. Can you also make video for AWS Technical Solutions Architect - Associate; and AWS - Machine Learning Associate certificate programs?

  • @sushantmeshram5172
    @sushantmeshram5172 4 місяці тому

    Very informative video

  • @NandanIITM
    @NandanIITM 4 місяці тому

    Your tutorials are good but not organized in playlists

  • @RykerSchenck
    @RykerSchenck 4 місяці тому

    Great Video, Thanks for sharing.

  • @m0d9tkh8t7n
    @m0d9tkh8t7n 5 місяців тому

    A great and informative session on GenAi

  • @poojatripathi5211
    @poojatripathi5211 6 місяців тому

    Nicely explained!!

  • @girireddy9173
    @girireddy9173 8 місяців тому

    Nice video thanks for updating

  • @where_2_next
    @where_2_next 8 місяців тому

    Informative video thanks

  • @amankhandelwal8293
    @amankhandelwal8293 9 місяців тому

    i will be installing confluent kafka using the method you told. will I be able to connect my spark job with my kafka topic that i created on the confluent cloud?

  • @mohammadhaque1873
    @mohammadhaque1873 10 місяців тому

    Best tutorial ever on impala architecture. Thank you.

  • @VishalThakur-wo1vx
    @VishalThakur-wo1vx 10 місяців тому

    Good video . But a little explanation around why Kappa architecture is not silver bullet for all use cases would have helped.

  • @azwan1992
    @azwan1992 10 місяців тому

    Excellent. Subscribed.

  • @jimmiedaugherty
    @jimmiedaugherty 11 місяців тому

    "Promo SM"

  • @adnanraza111
    @adnanraza111 Рік тому

    Excellent video, specially the last part clarifying when to use hive and when to use impala...

  • @prestonmccauley43
    @prestonmccauley43 Рік тому

    Clear, easy to follow, and even the example of jupyter was clear.

  • @SiddheshPrabhugaonkar
    @SiddheshPrabhugaonkar Рік тому

    Many congratulations for the recognitions. and thank you for this informative webinar

  • @nithishkrishnans5350
    @nithishkrishnans5350 Рік тому

    Hi, In all your video you are using the local service start like dev mode. I just want to know how to start all cluster for Prod environment. Can you please help me on this?

  • @arnabkgcoin
    @arnabkgcoin Рік тому

    Very good explanation!

  • @SantoshKumar-yr2md
    @SantoshKumar-yr2md Рік тому

    If I want to pursue Gen AI, what prerequisites require to learn, I am Manager in Healthcare and want to add Gen AI in my profile, I know SQL intermediate level but not having extensive knowledge in programming or coding stuff

  • @NeoStudy7
    @NeoStudy7 Рік тому

    thanks bro

  • @ramakambhampati5094
    @ramakambhampati5094 Рік тому

    Fantastic info. Thanks

  • @akhil123456000
    @akhil123456000 Рік тому

    I was looking for a detailed comparison in the web and I am glad I found this channel, very informative and detailed.

  • @DancingWithData
    @DancingWithData Рік тому

    This was a great video. Thank you very much!

  • @abdelrahimahmad7801
    @abdelrahimahmad7801 Рік тому

    Hi, Thanks for the video. However, most of these points are not limitations as Nifi is specified for a specific data processing task. Cheers!

  • @ananthpai5563
    @ananthpai5563 Рік тому

    Can you make a video on installation of Impala and querying hdfs data in pure Hadoop environment on Redhat OS?

  • @gustavomartin2
    @gustavomartin2 Рік тому

    excellent explanation thanks

  • @akshayaghade284
    @akshayaghade284 Рік тому

    bro facing issue middle of installation cd opt/anaconda3 showing this error no file or directory

  • @inspired_enough_to_grow_up

    can we please have more such sessions?

  • @nadranaj
    @nadranaj Рік тому

    Excellent explanation

  • @prasanna9123
    @prasanna9123 Рік тому

    I have a doubt like when ever a producer produces a message/event it goes to the leader partition. At the same time if we also consider the partitioning i.e., hash partitioning, then that particular partition should be the leader partition. Based on the partitioning, that particular partition will be made as a leader partition? Or my understanding is wrong. Can you please revert me back.

  • @anonymous_devil3730
    @anonymous_devil3730 Рік тому

    First you said zokeeper does the election and then you said one the broker who is the contoller does the election of who should become next leader, right? Isn't this contradicting? Do you have a very in depth like advanced of the advanved video explaining kafka ..so that we can work as a kafka emgineer in production and not in college projects?? Also please clarify the above contradiction. Thanks.

  • @dharmeshajudiya1709
    @dharmeshajudiya1709 Рік тому

    Details exaplanation, thank for the sharing

  • @bhavypratap2844
    @bhavypratap2844 Рік тому

    Sir I have started studying Deep Learning, but I didn't get the significance of the kernel. Can u briefly explain. Thank you.

    • @DataCouch
      @DataCouch Рік тому

      Hi @bhavypratap2844 In deep learning, the term "kernel" refers to a fundamental concept in mathematical operations performed on data. Let's say you have a bunch of numbers, and you want to perform some calculations on them. The kernel is like a small mathematical function or operation that you apply to each number in your data.

  • @sergefedorow8430
    @sergefedorow8430 Рік тому

    NiFi has SQL processors. What do you mean under "No SQL interface in NiFi"?

    • @DataCouch
      @DataCouch Рік тому

      Actually, NiFi does not have native SQL processors. When we mentioned "No SQL interface in NiFi," then we were referring to the fact that NiFi does not provide built-in processors specifically designed for working with SQL databases or executing SQL queries. Instead, NiFi primarily focuses on data flow management, transformation, and routing across various systems and formats. However, it's worth noting that NiFi can interact with SQL databases indirectly by utilizing processors like ExecuteScript or ExecuteStreamCommand to execute custom scripts or external commands that interact with SQL databases.

    • @jeromios
      @jeromios 13 днів тому

      @@DataCouch But there are processors such as 'ExecuteSQL' and 'PutSQL'. Maybe they are part of a version that was released after this video?

  • @tech-n-data
    @tech-n-data Рік тому

    Perfect little learning nugget.

  • @nitinagarwal3574
    @nitinagarwal3574 Рік тому

    Airline example does not make sense, check in can be a lookup on batch layer how it does not define the streaming data exactly.

    • @DataCouch
      @DataCouch Рік тому

      Hi Nitin, Thanks for your comment. We appreciate your feedback. You're right, check-in data can be a lookup on the batch layer. However, there are some cases where it makes sense to have it in the streaming layer. For example, if you want to provide real-time recommendations to passengers based on their recent check-in activity, then you'll need to have that data in the streaming layer. In our video, we were trying to provide a general overview of the Lambda Architecture. We didn't go into all of the possible use cases, but we wanted to give you a good starting point. If you have any other questions about the Lambda Architecture, please feel free to ask.

  • @satyarfid
    @satyarfid Рік тому

    Excellent session for the beginners .Thank you

  • @JawwadHanif
    @JawwadHanif Рік тому

    Thank you so much for such a great content 😊

  • @KamasaniBharath-j8e
    @KamasaniBharath-j8e Рік тому

    Nice explanation good

  • @Dutchkickz
    @Dutchkickz Рік тому

    REALM will be big! Search realm and Hovr

  • @KamasaniBharath-j8e
    @KamasaniBharath-j8e Рік тому

    nice explanation

  • @004-andhaleaniketajit4
    @004-andhaleaniketajit4 Рік тому

    helpful