ZISHI Adaptive FAQs | ZISHI Group

ZISHI ADAPTIVE FREQUENTLY ASKED QUESTIONS

What is ZISHI Adaptive?

ZISHI Adaptive is an arm of the ZISHI business that augments human capability. It does it by fusing AI, machine learning and data science to uncover valuable, performance-enhancing insights previously invisible to see.

Who are the members of the ZISHI team?

The ZISHI Adaptive team includes some of the world’s brightest minds. It is a collective of highly respected trading experts, academics and data scientists who have amassed decades of experience and lead the way in their specific sectors.

What has ZISHI Adaptive achieved so far?

In our endeavour to understand our trader’s behaviour and performance in more depth than ever before, ZISHI Adaptive has scrutinised over 45.5 billion data points. For the first time, we have been able to blend cognitive behaviour, personality traits and performance data. This has uncovered previously unseen performance insights to help de-risk our recruitment process and identify suitable candidates for trading roles.

Can this tech be used to uncover data for other firms and industries?

Built initially as an internal recruitment tool, we have discovered ZISHI Adaptive’s capabilities aren’t limited to just our own use. At the very least, we can use our 45.5 billion data data points to predict performance for any likeminded business. But the unique ability of this performance analysis tool also allows us to go so much deeper. We can combine our own data with a third parties unique data to uncover personalised empirical insights and predictions.

What is ZISHI Adaptive developing next?

The next exciting part of our ZISHI Adaptive journey is the development of a trader mentoring tool. The tool has been designed to increase the support and likelihood of traders succeeding when they are trading live markets.

Will AI take over from humans?

The definitive answer is NO. ZISHI Adaptive firmly believes that AI should be used to augment human capability, not replace it. We have endeavoured to maintain a ‘human in the loop’ approach at all stages of the development and deployment of our AI assisted tools. Our belief and recommendation is that the predictions are used as an aid to help maximise performance in combination with human intuition. The ‘human in the loop’ will always make the final decision.

How do you avoid negative consequences of AI?

Our ‘human in the loop’ approach helps manage this, along with the fact that our systems purposefully do not currently learn in real-time. Offline learning helps avoid some risks and unpredictable systems behavior that may lead to negative consequences of the system’s decisions. We also make sure we collect a holistic, rich image of data proxies. We put significant emphasis on rich and multimodal data collection, both automatically collected from a wide range of digital systems, audio and reports, and from designed data collection such as interviews and questionnaires. This ensures that our model of trading behaviour, performance and personal attributes is as holistic as possible.

How do you break down the ‘black box of AI’?

The approaches we take are purposefully designed to be as transparent as possible for users of our technology. We safeguard our users by making sure their decision-making process is supported by other data-driven artefacts rather than predictions. When predictions are necessary, we make sure the users are provided with the metrics of confidence needed to understand the extent to which the predictions should be taken into consideration.

What is ‘the human in the loop’?

Our human experts have been at, and continue to be at, the core of our AI system design process. Their input and involvement has been split into three main areas. These are: (a) They are co-designing the system, and are full collaborators in all design and implementation phases; (b) In the scope of the development of the machine learning models.Specifically, our experts’ domain knowledge and logic is foot printed in the computation of our features, as well as in crucial decisions. These include assigning weights to features, defining similarity measurements and more; and (3) The validation of our models by integrating qualitative data collected from trader interviews with quantitative data collected from questionnaires and digital systems.

GENERAL REPORTS

What is ZISHI Adaptive?

ZISHI Adaptive is an arm of the ZISHI business that augments human capability. It does it by fusing AI, machine learning and data science to uncover valuable, performance-enhancing insights previously invisible to see.

Who are the members of the ZISHI team?

The ZISHI Adaptive team includes some of the world’s brightest minds. It is a collective of highly respected trading experts, academics and data scientists who have amassed decades of experience and lead the way in their specific sectors.

What has ZISHI Adaptive achieved so far?

In our endeavour to understand our trader’s behaviour and performance in more depth than ever before, ZISHI Adaptive has scrutinised over 45.5 billion data points. For the first time, we have been able to blend cognitive behaviour, personality traits and performance data. This has uncovered previously unseen performance insights to help de-risk our recruitment process and identify suitable candidates for trading roles.

Can this tech be used to uncover data for other firms and industries?

Built initially as an internal recruitment tool, we have discovered ZISHI Adaptive’s capabilities aren’t limited to just our own use. At the very least, we can use our 45.5 billion data data points to predict performance for any likeminded business. But the unique ability of this performance analysis tool also allows us to go so much deeper. We can combine our own data with a third parties unique data to uncover personalised empirical insights and predictions.

What is ZISHI Adaptive developing next?

The next exciting part of our ZISHI Adaptive journey is the development of a trader mentoring tool. The tool has been designed to increase the support and likelihood of traders succeeding when they are trading live markets.

Will AI take over from humans?

The definitive answer is NO. ZISHI Adaptive firmly believes that AI should be used to augment human capability, not replace it. We have endeavoured to maintain a ‘human in the loop’ approach at all stages of the development and deployment of our AI assisted tools. Our belief and recommendation is that the predictions are used as an aid to help maximise performance in combination with human intuition. The ‘human in the loop’ will always make the final decision.

How do you avoid negative consequences of AI?

Our ‘human in the loop’ approach helps manage this, along with the fact that our systems purposefully do not currently learn in real-time. Offline learning helps avoid some risks and unpredictable systems behavior that may lead to negative consequences of the system’s decisions. We also make sure we collect a holistic, rich image of data proxies. We put significant emphasis on rich and multimodal data collection, both automatically collected from a wide range of digital systems, audio and reports, and from designed data collection such as interviews and questionnaires. This ensures that our model of trading behaviour, performance and personal attributes is as holistic as possible.

How do you break down the ‘black box of AI’?

The approaches we take are purposefully designed to be as transparent as possible for users of our technology. We safeguard our users by making sure their decision-making process is supported by other data-driven artefacts rather than predictions. When predictions are necessary, we make sure the users are provided with the metrics of confidence needed to understand the extent to which the predictions should be taken into consideration.

What is ‘the human in the loop’?

Our human experts have been at, and continue to be at, the core of our AI system design process. Their input and involvement has been split into three main areas. These are: (a) They are co-designing the system, and are full collaborators in all design and implementation phases; (b) In the scope of the development of the machine learning models.Specifically, our experts’ domain knowledge and logic is foot printed in the computation of our features, as well as in crucial decisions. These include assigning weights to features, defining similarity measurements and more; and (3) The validation of our models by integrating qualitative data collected from trader interviews with quantitative data collected from questionnaires and digital systems.

What should I do if I haven't received any emails?

If you haven’t received anything after submitting your email address to us, try these troubleshooting tips:

- Check your junk mail folder
- Try to input your email address again (duplicates will receive a response)

If neither of these options work, email adaptivesupport@thezishi.com

Where can I find the survey link?

If you can’t find the survey link, try these troubleshooting tips:

- Ensure your email address has been confirmed
- Check your junk mail

If neither of these options work, email adaptivesupport@thezishi.com

Can I complete part of the survey and come back to it?

We suggest that you complete the survey all at once with no distractions. However, it is possible to complete part of the survey and come back to it, if you use the same device/browser.

What should I do if I'm having issues completing the survey?

If you are having issues completing the survey, try these troubleshooting tips:

- Ensure you haven’t already completed the survey
- Check your internet connection
- Ensure you are completing the survey in a fresh browser with no other windows open

If none of these options work email adaptivesupport@thezishi.com

How long will it take to get my survey results?

After completing the survey, you should have your report emailed to you within 24 hours. If you haven’t received your report within this timeframe, please check your junk folder. If the report still can’t be located email adaptivesupport@thezishi.com

What do I do after I've received my results?

After you have received your results, we hope you’ll make ZISHI part of your learning journey. You can complete the content we’ve crafted specifically to your trader type. More detailed instructions on how to do this will be delivered with your report.

I received an email saying my email address is already registered. What should I do?

Check your junk mail to see if we have already sent you a link. If not, then please email adaptivesupport@thezishi.com

Where is my data stored?

We take data protection very seriously. We abide by all the regulations surrounding this type of data collection, regarding both how it is handled and stored. Your data is kept in highly secure cloud databases while we process it. For more information contact gdpr@thezishi.com

Who sees my answers?

No third parties or your referring organisation see your data or your report unless you have given explicit consent.

Survey Monkey says I've already completed the survey, but I haven't. How do I access the survey?

When Survey Monkey detects that our survey has been launched in your browser previously it may block re-launch based on Cookies. If you have not taken the survey and find this issue, try these tips:

- Using a different browser
- Using a private/incognito browser window
- Clearing your browser cookies

If none of these options work email adaptivesupport@thezishi.com

What can I do if I didn't get an account access email for my ZISHI learning paths

To be given free access to the content we’ve designed specifically for your trader type, you must have given consent for “information about Financial Education” when registering your details for the survey. If you think you missed this, please email adaptivesupport@thezishi.com

I can't login to the ZISHI portal. What should I do?

Use the temporary password sent to you and the email address used for the survey to log in to the ZISHI portal. Avoid copying and pasting the password as many devices pick up an extra space at the end. If you have tried multiple times and cannot gain access, please email adaptivesupport@thezishi.com

Where is my learning path?

If you do not have any learning content assigned to you on your first successful login to the ZISHI portal, try again in 10 minutes. If there is still no content on your second login, please email adaptivesupport@thezishi.com

What should I do if the learning content won't load?

Our ZISHI learning portal is designed for use on a desktop computer. As such, some mobile devices may struggle to present the content correctly. If the device is not the issue, please email adaptivesupport@thezishi.com

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