Readiness Assessment

Scientific AI Readiness Assessment

Assess the Scientific AI readiness of your organization related to the most fundamental aspect – your data
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The biopharmaceutical industry is at a tipping point. With the development of new therapies taking more than ten years on average and consuming more than $2B companies need to change their approach. A key strategy is to move away from expensive and time-consuming work performed by humans and to leverage digital technologies. These include Artificial Intelligence (AI) and machine learning, in silico, and digital twins.

Unfortunately many organizations have difficulties leveraging AI technologies and realizing performance gains. All these methods are highly data and domain knowledge dependent and have one prerequisite in common: the access to the right data in the right quality and the right amount. he complexity of scientific data if adding on the hurdles biopharmaceutical organizations encounter on their journey of Scientific AI.

Take this short survey and learn how ready your organization is to efficiently and effectively take advantage of Scientific AI through the right scientific data strategy to accelerate and improve business outcomes.

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1/6

First, tell us a little about yourself

We use this information to send you an assessment report. This infomation is never shared with any 3rd party.
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NameEmail AddressCompany

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2/6

General

Do you have a cohesive data strategy in place?YesNot yet but planningNo

Are you confident about the security of your scientific data?Yes fullyOnly to a certain extentNo

Is your scientific data FAIR (findable, accessible, interoperable, reusable)?Yes fullyOnly to a certain extentNo

Are you trusting the integrity and traceability of your scientific data?Yes, we do have a FAIR data initiative in placeWe are working on making our data FAIR What does FAIR data mean?

Are you aware of the key scientific data workflows of your scientists?Yes, we have defined all our ourIn are in the process of identifying them but it is hardNo, we don’t know how to identify them

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3/6

Data Access

How many data repositories do your users (scientists, data scientists) have to access?10 or lessMore than 10More than 20

How much time are your users spending to move data? (time per user)less than 2 hours per weekAbout 2 hours per weekClearly more than 2 hours per week

How long does it take users to find the data they need? (time per user)Less than 1 hour per week searchingAbout 1 hour per week searching
Clearly more than 1 hour per week searching

How easy is it for users to access scientific data?They can directly access their data from their favorite applicationThey have to move data to access itIt is very hard to access data

Does your data science team have enough data for robust and meaningful AI outcomes?Yes, we have enough dataWe are managing but it would be good to have moreNo, we clearly don’t have enough data

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4/6

Data Transformation

Are your scientists able to compare scientific data from different sources?YesThey need to use some workaroundsThey cannot easily compare their data

Can your scientists use their best-in-class application to analyze and visualize their data?YesThey need to use some workaroundsThey cannot easily compare their data

How much time are your data engineers spending on harmonizing your scientific data?They spend clearly less than 2 hours per weekThey spend about 2 hours per week
They clearly spend more than 2 hours a week

Are you able to add meaningful and harmonized metadata (additional information about your data) to your datasets?Yes, our teams can do itWe are trying to do it but are only partially successful so farNo, it it too hard as we lack the resources and/or the expertise

Can you easily reuse your scientific data?Yes, with all the applications we are typically usingOnly with some applicationsNo, only with the software we used for its creation

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5/6

Collaboration

With how many internal teams are you collaborating?10 or lessMore than 10More than 20

How many external partners (CRO, CMO, CDMOs) do you have?10 or lessMore than 10More than 20

Can you easily exchange scientific data across the value chain (from discovery to commercialization)?Yes, teams can easily collaborate on dataOnly partially
Data exchange is really hard

Are you satisfied with your ability to exchange scientific data with your partners?Yes, we can easily collaborate on dataSometimes we encounter hurdles in the collaborationNo, exchange is difficult and not in real-time

Are the datasets complete that you send / receive from other entities?Yes, we get the full datasetsNo, but we get the data we need todayNo, data is often incomplete and therefore not meaningful

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6/6

AI

Is data access a hurdle for your AI initiative?No, we can access the data we needIt is a bit time consuming but we manageThe lack of data access is hampering the success of our AI initiative in science

Do you have large-scale data accessible to create / train / validate your scientific AI models?Yes, we have enough dataWe are managing but it would be good to have moreNo, we clearly don’t have enough data

How much time are your data scientists / data engineers spending in preparing data for AI?They spend clearly less than 2 hours per weekThey spend about 2 hours per week
They spend clearly more than 2 hours per week

Are you confident about the outcomes /results of your Scientific AI algorithms?Yes, fullyWe trust it but really understand the detailsNo, it is a black box for us

What is the percentage of the prediction accuracy of your AI models?80% and moreLess than 80%Less than 50%

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Scientific AI Readiness Assessment

Assess the Scientific AI readiness of your organization related to the most fundamental aspect – your data‍

First, tell us a little about yourself

We use this information to send you an assessment report. This infomation is never shared with any 3rd party.‍

General

Data Access

Data Transformation

Collaboration

AI

Thank you!

Assess the Scientific AI readiness of your organization related to the most fundamental aspect – your data
‍

We use this information to send you an assessment report. This infomation is never shared with any 3rd party.
‍