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Calvin Hindle : Lead Consultant [HyperAutomation , Generative AI, LLM's, RPA]

Experience in implementing CRM solutions in various industries (Telco, Banking & Finance, Airline, Hospitality) & also implementing cognitive solutions to improve customer experience and open up new innovative engagements and insights for businesses.

An AI & Blockchain enthusiast

I am passionate how technology can touch millions of peoples lives, and when used in a positive way we can truly improve the capabilities of human beings.

The Swiss Army Knife of Computer Vision : OAK-D-Lite

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- February 06, 2022

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Disrupting Traditional HRM with Ai

- July 22, 2018

" Artificial Intelligence in HR: a No-brainier, This is basically good news for Human Resources and for your business. Usually HR is one step behind in the digital transformation and AI now offers the chance to catch up. AI can help eliminate repetitive tasks, accelerate the search for talent, reduce employee attrition and improve employee engagement. The algorithms train themselves to simulate human behavior and to re-imagine workers experience. AI reacts faster in helping draw out the insights and inferences that might otherwise take reams of manpower or stay uncovered at all. " Taken from : https://www.pwc.at/de/publikationen/verschiedenes/artificial-intelligence-in-hr-a-no-brainer.pdf Every organization has a human resource management solution. With the whole cloud shift most of the HRM applications run on a cloud environment. Many SAAS vendors provide comprehensive HRM solutions which pretty much covers all of the business cases & rules to manage...

installing tensorflow on Anaconda

- December 09, 2018

To run tensorflow on anaconda i followed the below steps. i am using anaconda since it has most of the dependencies and libraries pre-installed so we can easily call them when needed. For this you need to install anaconda and i will not be going through the installation process and configuration of anaconda but will be assuming you guys have done that part. Step 1 Run anaconda command line with administrator Step 2 You would need to run the below command and set the name of your tensorflow environment conda create -n tensorflow python=3.5 I have named my tensorflow environment as tensorflow_env. enter y and proceed with the process. If all runs well you would get a result as given below. done Executing transaction: done # # To activate this environment, use # # $ conda activate tensorflow_env # # To deactivate an active environment, use # # $ conda deactivate The above ...