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Jan 8 โ€ข 5 tweets โ€ข 5 min read
๐Ÿ’Ž๐Ÿคต๐Ÿปโ€โ™‚๏ธ Expert Opinon: ๐‘ซ๐’‚๐’๐’Š๐’†๐’ ๐‘ซ๐’Š๐’๐’†๐’” ๐Ÿคต๐Ÿปโ€โ™‚๏ธ๐Ÿ’Ž

//THREAD ๐Ÿงต

#processimprovement #automation #ai #data #AshlingPartners #UiPath #MachineLearning #digitaltransformation #rpa #rpadeveloper #rpadevelopers #uipathdeveloper #uipathcommunity #hyperautomation #navaifanatic
๐Ÿ“ข Automation has helped humans progress by freeing them from manual and tedious tasks.
๐Ÿ“ข Traditional approaches to business process automation have been expensive and require significant changes to infrastructure and processes.
๐Ÿ“ข A new approach called emulation allows for automation to be more cost-effective and easier to implement.
๐Ÿ“ข Emulation uses AI, user interface automation, API integration, workflow automation, orchestration, and low-code development to automate business processes.
๐Ÿ“ข UiPath's automation platform allows for the democratization of automation and expands the market for professionals able to deliver it.
๐Ÿ“ข Automation is becoming a central part of enterprise operations and innovation.

๐ŸŽ† Full Article: lnkd.in/gx3RwVEP
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Naveen ๐Ÿš€ Profile picture
Jan 8
3 Most Important Strategies to boost your Automation Journey ๐Ÿš€

Expert Opinon by ๐‘ป๐’†๐’… ๐‘ฒ๐’–๐’Ž๐’Ž๐’†๐’“๐’•

๐Ÿ” ๐ƒ๐ข๐ฌ๐œ๐จ๐ฏ๐ž๐ซ๐ข๐ง๐  ๐ญ๐จ๐๐š๐ฒ
๐Ÿค– ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐ง๐  ๐ง๐จ๐ฐ
๐Ÿ‹๐Ÿปโ€โ™‚๏ธ ๐Ž๐ฉ๐ž๐ซ๐š๐ญ๐ข๐ง๐  ๐ญ๐จ๐ฆ๐จ๐ซ๐ซ๐จ๐ฐ

//Thread ๐Ÿงต
๐Ÿ”ฎ ๐“๐ก๐ž ๐ฏ๐ข๐ฌ๐ข๐จ๐ง ๐Ÿ๐จ๐ซ ๐š๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง:
๐Ÿ“ข A study by UiPath found that 86% of executives believe automation will enable employees to focus on more creative work.

๐ŸŽ† Full Article: lnkd.in/g6F2mbiP
๐Ÿ“ข Automation platforms, such as UiPath, are increasingly being used to implement new business ideas and processes.
๐Ÿ“ข Automation delivers powerful, measurable returns and is a strategic platform for digital transformation.
Read 10 tweets
Naveen ๐Ÿš€ Profile picture
Jan 7
Machine Learning is hard.

I felt like quitting whenever I get baffled by the amount of information to learn.

But I followed the path to learning from Math for ML.

Here are the 5 critical reasons why you should start with Math concepts for ML

THREAD๐Ÿงต โ†“
๐Ÿค” Why Math for ML:
**********************
๐Ÿ“Œ Machine learning algorithms rely on mathematical calculations to make predictions and decisions
๐Ÿ“Œ Many machine learning techniques, such as neural networks and deep learning, are based on linear algebra and calculus
Read 12 tweets

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