- 259
- 210 988
DataCouch
India
Приєднався 21 жов 2018
DataCouch is a globally recognized leader in IT consultancy, upskilling, virtual labs, and managed professional services, serving a diverse clientele including Fortune 500 companies like Adobe, Apple, PayPal, Confluent, Starbucks, and Google. With a strong presence in India, Canada, and Malaysia, we leverage our extensive expertise to deliver world-class services.
Our team of top-tier instructors and consultants are pioneers in emerging technologies, specializing in Generative AI, Machine Learning, Data Engineering, and DevOps. As a preferred partner for industry giants such as Confluent, Brinqa, Snowflake, Onehouse, Neo4j, and PayPal, we provide unparalleled technology training and consultancy through our global delivery model and unique Virtual Lab Solution.
We have transformed the careers of over 150K professionals across 20+ countries. Our dedication to innovation, collaboration, and excellence equips our clients with the latest advancements, maintaining a competitive edge.
Our team of top-tier instructors and consultants are pioneers in emerging technologies, specializing in Generative AI, Machine Learning, Data Engineering, and DevOps. As a preferred partner for industry giants such as Confluent, Brinqa, Snowflake, Onehouse, Neo4j, and PayPal, we provide unparalleled technology training and consultancy through our global delivery model and unique Virtual Lab Solution.
We have transformed the careers of over 150K professionals across 20+ countries. Our dedication to innovation, collaboration, and excellence equips our clients with the latest advancements, maintaining a competitive edge.
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:
LinkedIn: www.linkedin.com/company/13419608/admin/page-posts/published/
UA-cam:ua-cam.com/channels/57EPfJN9M6WmrrbREGA2xQ.html
Twitter:x.com/datacouch_io
Facebook: datacouch/
Instagram: datacouch
#GenerativeAI #ProductManagement #AIWebinar #Innovation #AIInBusiness #IdeationToImpact #FutureOfWork
🔍 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:
LinkedIn: www.linkedin.com/company/13419608/admin/page-posts/published/
UA-cam:ua-cam.com/channels/57EPfJN9M6WmrrbREGA2xQ.html
Twitter:x.com/datacouch_io
Facebook: datacouch/
Instagram: datacouch
#GenerativeAI #ProductManagement #AIWebinar #Innovation #AIInBusiness #IdeationToImpact #FutureOfWork
Переглядів: 68
Відео
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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...
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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?
Dataframes are lazy it's not rdd are lazy
is there any open source kafka connector for node js for Postgres?
Thank you!
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
Nice tutorial. Please make big project videos.
The best 20 minutes of Kafka
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?
Very informative video
Your tutorials are good but not organized in playlists
Great Video, Thanks for sharing.
A great and informative session on GenAi
Nicely explained!!
Nice video thanks for updating
Informative video thanks
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?
Best tutorial ever on impala architecture. Thank you.
Good video . But a little explanation around why Kappa architecture is not silver bullet for all use cases would have helped.
Excellent. Subscribed.
"Promo SM"
Excellent video, specially the last part clarifying when to use hive and when to use impala...
Clear, easy to follow, and even the example of jupyter was clear.
Many congratulations for the recognitions. and thank you for this informative webinar
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?
Very good explanation!
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
thanks bro
Fantastic info. Thanks
I was looking for a detailed comparison in the web and I am glad I found this channel, very informative and detailed.
This was a great video. Thank you very much!
Glad you enjoyed it!
Hi, Thanks for the video. However, most of these points are not limitations as Nifi is specified for a specific data processing task. Cheers!
Can you make a video on installation of Impala and querying hdfs data in pure Hadoop environment on Redhat OS?
excellent explanation thanks
You are welcome!
bro facing issue middle of installation cd opt/anaconda3 showing this error no file or directory
can we please have more such sessions?
Excellent explanation
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.
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.
Details exaplanation, thank for the sharing
Sir I have started studying Deep Learning, but I didn't get the significance of the kernel. Can u briefly explain. Thank you.
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.
NiFi has SQL processors. What do you mean under "No SQL interface in NiFi"?
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.
@@DataCouch But there are processors such as 'ExecuteSQL' and 'PutSQL'. Maybe they are part of a version that was released after this video?
Perfect little learning nugget.
exactly ! 💯
Airline example does not make sense, check in can be a lookup on batch layer how it does not define the streaming data exactly.
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.
Excellent session for the beginners .Thank you
Thank you so much for such a great content 😊
Nice explanation good
REALM will be big! Search realm and Hovr
nice explanation
helpful