Everything posted by Mayank Gupta
- Analyze Phase
- Measure Phase
- Voice of Employee
- Key Risk Indicators (KRIs)
- BPR vs Lean Six Sigma
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What’s One Practice in Your Organization That Looks Efficient — But Isn’t?
Guess we are leveraging AI models to get the answers as most of the answers are similar in nature While it is good to get some ideas from AI models, but we are looking for genuineness in the answers which AI will never have! The best answer to this question has been provided by - Vatsala Muthukumaraswamy. Well done! Answer from Nwamaka Benedicta Olorungbade is also an interesting read.
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What can make an AI Agent a Joy to Use?
Most of the answers to this question have similar responses like tone, personalization etc. However there are some answers which do add something extra like Continuous Learning, front end design details, language preference, giving the AI agent a personality, bigger font size or audio capabilities for making the AI agents inclusive. Great thought process for involving these things in the answers. Best answer to this question is from - Giridarasanmugaraja Kathirvel. Well done!
- When AI Sounds Confident — But Is Totally Wrong
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Can AI Help You Avoid a Compliance Slip?
Respondents have covered Interesting and varied domains - Facilities Management, FMCG complaint handling, Procurement, Pharma Formulations, HR & Employee Relations. Enlightening to see the application in so many different areas. The two answers which stand out in terms of relevance of the compliance scenario and thoughtfulness in how the AI would identify and flag risks are - Hardik Joshi and Vinod GC. Hence both have been selected as winners. Well done!
- Can AI Spot Hidden Patterns Across Processes?
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Beyond the Obvious: What’s a Surprising but Powerful Use of Prompt + Flow AI?
Selecting the winner for this question was probably the toughest one so far for me. There are so many brillaint and unconventional ideas for using prompt+flow AI. It was very difficult to choose one clear winner and for the first time in the history of building this dictionay, there are 3 winners to this question (bais the unique and unconventional area of application) - Hardik Joshi, Sourav Biswas and Nwamaka Benedicta Olorungbade. Well done all of you!!
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Choosing the Right AI Approach: What Would You Build and How?
It was a real tough one to decide the winner. All the answers are excellent and to a great extent cover the various aspects of the question. Hence, it is recommended that one goes through all the answers. The most well rounded answer has been selected as the winner - Sourav Biswas. Well done!
- Four Ways to Build AI Solutions: How Do They Compare?
- Design Your Dream AI Agent for the Future
- Can AI Make the “Right” Call in an Ethical Dilemma?
- What If AI Agents Worked as a Team?
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Who is Accountable When AI Goes Wrong?
interesting examples where AI has made a mistake. There are 2 winners for this question - Hardik Joshi and Vinod GC.
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How Can AI Earn Trust in Your Team?
There are joint winners for this question - Vinod GC and Jimmy Sonekar.
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What Should AI Do When Goals Clash?
My thoughts on this question - This is a tricky question to answer because once you give a set of instructions to AI, it will give a response after optimizing for the clashing goals. So purely from an AI perspective there is no clash. The clash here refers to more between the AI output and human expectation. The best way to handle it is keep revising the instructions, the logic, the rules, the knowledge base and continue to re-train the agent. And wherever we feel that the AI output is still not in sync with our understanding, AI should treat it as an exception and let a human handle it. There are some must read answers - Swapnil Madhav Chaukar, Pratish Deshpande, Swarandeep Kaur Juneja, Mohammed Jaffer, Amit Kumar. The best answer to this question is written by Mohammed Jaffer. Well done!
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When Should AI Learn From Exceptions?
It is great to see so many respondents. Almost each one has a different example. I would also like to link the question to the Kano Model where some of the issues, concerns related to delighters might be treated as exceptions but over a period of time, the same exceptions will become the norm and AI should be retrained to handle them. In that sense, the learning will never stop for AI The best answer to this question has provided by Puneet Vohra. Well done! Answers from Satheesh, Amit Suri, Smita Vaval are also an interesting read.
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Where Should AI Pause and Ask a Human?
Interesting case studies where AI needs to pass the flow to a human. The winning answer is provided by Hamid. Well done! Answers from Diop Saliou, Vikas Choudhary, Sundar Nag and Vidhya Rathinavelu are also an interesting read.
- Enforcement by AI
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From “Too Human” to AI-Ready: Reimagining the Impossible
Interesting to read the different perspectives on a task that is "Too Human" to be handed over to AI. The best answer is given by Vikas Choudhary. Well done. Answers from R Rajesh, Vidhya Rathinavelu, Swapnil Madhav Chaukar are also a must read.
- Contingency Plan
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Robotic Desktop Automation (RDA)
There is only one response to the question and it is the best response. Well done!!