Applied AI Survey

Question Title

* 1. Where does your organization fall on Gartner’s Artificial Intelligence Maturity Curve:

Awareness: We’re excited about AI but haven’t used it yet

Active: We’re experimenting with AI but haven’t deployed any large-scale projects yet

Operational: We’ve adopted machine learning into our day-to-day functions. Initial ML infrastructure is set up, we’re creating data pipelines and versioning data

Systemic: We’re using ML/AI in a novel way to disrupt business models

Transformation: ML/AI is built into the DNA of our business. We rely on AI to do significant heavy lifting for the business and as a value generator for our customers.

Question Title

* 2. When it comes to achieving the next level of maturity, what are your top 3 inhibitors?

We lack a clear enterprise data strategy that supports and enables AI

Budget limitations

Issues with IT infrastructure & legacy systems

Challenges aligning business strategy with AI and developing use cases

Lack of skilled talent or expertise

Volume & quality of training data

Issues with data storage

Issues with data pipelines

Data processing challenges

Tracking & monitoring AI performance

Scaling AI/ML solutions across the enterprise

Organizational silos & poor cross-functional collaboration

Cyber Security Challenges

Data Privacy & regulatory issues

Issues with reproducibility & degradation

Governance Issues

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* 3. What types of AI Tech are you currently leveraging? (Please check all that apply)

RPA

Computer Vision

Deep Learning

Machine Learning

Natural Language Processing

Predictive Analytics

Marketing & Personalization tools

None

Other

Question Title

* 4. How Integral is AI to your business in the follow areas?

	Important	Somewhat Important	Not Important
Customer Experience	Customer Experience Important	Customer Experience Somewhat Important	Customer Experience Not Important
Cyber Security	Cyber Security Important	Cyber Security Somewhat Important	Cyber Security Not Important
Finance & Accounting	Finance & Accounting Important	Finance & Accounting Somewhat Important	Finance & Accounting Not Important
Human Resources & Recruiting	Human Resources & Recruiting Important	Human Resources & Recruiting Somewhat Important	Human Resources & Recruiting Not Important
Logistics & Supply Chain	Logistics & Supply Chain Important	Logistics & Supply Chain Somewhat Important	Logistics & Supply Chain Not Important
Manufacturing & Production	Manufacturing & Production Important	Manufacturing & Production Somewhat Important	Manufacturing & Production Not Important
Marketing & Sales	Marketing & Sales Important	Marketing & Sales Somewhat Important	Marketing & Sales Not Important
Procurement	Procurement Important	Procurement Somewhat Important	Procurement Not Important
Information Technology	Information Technology Important	Information Technology Somewhat Important	Information Technology Not Important
New Product Development	New Product Development Important	New Product Development Somewhat Important	New Product Development Not Important

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* 5. Looking towards the future, do you see the impact of AI increasing or decreasing over the next 5 years?

	Increasing	Decreasing	Same	Not sure
Customer Experience	Customer Experience Increasing	Customer Experience Decreasing	Customer Experience Same	Customer Experience Not sure
Cyber Security	Cyber Security Increasing	Cyber Security Decreasing	Cyber Security Same	Cyber Security Not sure
Finance & Accounting	Finance & Accounting Increasing	Finance & Accounting Decreasing	Finance & Accounting Same	Finance & Accounting Not sure
Human Resources & Recruiting	Human Resources & Recruiting Increasing	Human Resources & Recruiting Decreasing	Human Resources & Recruiting Same	Human Resources & Recruiting Not sure
Logistics & Supply Chain	Logistics & Supply Chain Increasing	Logistics & Supply Chain Decreasing	Logistics & Supply Chain Same	Logistics & Supply Chain Not sure
Manufacturing & Production	Manufacturing & Production Increasing	Manufacturing & Production Decreasing	Manufacturing & Production Same	Manufacturing & Production Not sure
Marketing & Sales	Marketing & Sales Increasing	Marketing & Sales Decreasing	Marketing & Sales Same	Marketing & Sales Not sure
Procurement	Procurement Increasing	Procurement Decreasing	Procurement Same	Procurement Not sure
Information Technology	Information Technology Increasing	Information Technology Decreasing	Information Technology Same	Information Technology Not sure
New Product Development	New Product Development Increasing	New Product Development Decreasing	New Product Development Same	New Product Development Not sure

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* 6. Do you expect your final, approved budget to include increased funding for AI/ML initiatives:

Yes, we plan to increase our investment in AI/ML over the next year

No, I don’t expect AI/ML funding will change either way

No, I expect AI/ML budgets will decrease

We will not be investing in AI/ML at all

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* 7. What does your organization hope to achieve with Applied AI/ML? What are your top 3 objectives:

Enhance Customer Experience

Increase cash flow

Develop new products

Increase operational efficiency and productivity

Accelerate research

Access new markets and increase revenue streams

Enhanced Employee Experience

Manufacturing/distribution efficiencies

Improved talent acquisition processes

Improved cyber security

Improved IT operations and tech support

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* 8. Do you plan on investing in any of these areas over the next year?

	Yes	No	Already Invested	N/A
AI/ML Development Tools	AI/ML Development Tools Yes	AI/ML Development Tools No	AI/ML Development Tools Already Invested	AI/ML Development Tools N/A
AI/ML Monitoring solutions	AI/ML Monitoring solutions Yes	AI/ML Monitoring solutions No	AI/ML Monitoring solutions Already Invested	AI/ML Monitoring solutions N/A
Cloud Data Warehouse Solutions	Cloud Data Warehouse Solutions Yes	Cloud Data Warehouse Solutions No	Cloud Data Warehouse Solutions Already Invested	Cloud Data Warehouse Solutions N/A
Data Acquisition Solutions	Data Acquisition Solutions Yes	Data Acquisition Solutions No	Data Acquisition Solutions Already Invested	Data Acquisition Solutions N/A
Data Catalogue Solutions	Data Catalogue Solutions Yes	Data Catalogue Solutions No	Data Catalogue Solutions Already Invested	Data Catalogue Solutions N/A
Data Enrichment Solutions	Data Enrichment Solutions Yes	Data Enrichment Solutions No	Data Enrichment Solutions Already Invested	Data Enrichment Solutions N/A
Data Governance Solutions	Data Governance Solutions Yes	Data Governance Solutions No	Data Governance Solutions Already Invested	Data Governance Solutions N/A
Data Integration Solutions	Data Integration Solutions Yes	Data Integration Solutions No	Data Integration Solutions Already Invested	Data Integration Solutions N/A
Data Labeling	Data Labeling Yes	Data Labeling No	Data Labeling Already Invested	Data Labeling N/A
Data Mining Solutions	Data Mining Solutions Yes	Data Mining Solutions No	Data Mining Solutions Already Invested	Data Mining Solutions N/A
Deep Learning Frameworks	Deep Learning Frameworks Yes	Deep Learning Frameworks No	Deep Learning Frameworks Already Invested	Deep Learning Frameworks N/A
Enterprise Data Pipeline Solutions	Enterprise Data Pipeline Solutions Yes	Enterprise Data Pipeline Solutions No	Enterprise Data Pipeline Solutions Already Invested	Enterprise Data Pipeline Solutions N/A
Enterprise Data Platforms	Enterprise Data Platforms Yes	Enterprise Data Platforms No	Enterprise Data Platforms Already Invested	Enterprise Data Platforms N/A
Enterprise Information Management Solutions	Enterprise Information Management Solutions Yes	Enterprise Information Management Solutions No	Enterprise Information Management Solutions Already Invested	Enterprise Information Management Solutions N/A
Main [Master] Data Solutions	Main [Master] Data Solutions Yes	Main [Master] Data Solutions No	Main [Master] Data Solutions Already Invested	Main [Master] Data Solutions N/A
Operational Database Management Solutions	Operational Database Management Solutions Yes	Operational Database Management Solutions No	Operational Database Management Solutions Already Invested	Operational Database Management Solutions N/A
Predictive & Prescriptive Analytics Solutions	Predictive & Prescriptive Analytics Solutions Yes	Predictive & Prescriptive Analytics Solutions No	Predictive & Prescriptive Analytics Solutions Already Invested	Predictive & Prescriptive Analytics Solutions N/A
Workflow Management	Workflow Management Yes	Workflow Management No	Workflow Management Already Invested	Workflow Management N/A

Question Title

* 9. Where does your organization fall on the data and analytics maturity curve:

We Lack Data for Analytics Projects — Key data sources are never or infrequently collected and stored for analysis; manually captured with significant errors.

Isolated Data Projects — Business units work with data throughout the enterprise in an uncoordinated fashion with no shared definitions and process. But the beginnings of a data-driven culture are present.

Secure, Reliable Data Repository — Data warehouse or lake systems with well-defined management and governance are utilized to provide a foundational system for reporting, data science and key operational users.

Governed Self-Service Access — Power users have access to expanded data for exploration with data access granted based on levels of expertise. Reporting teams focus on operational analytics while business users run queries and extract data as needed.

Scientific Hub for Data Insights — Ability to rapidly deploy technology platforms designed to solve specific business problems. A well-governed data environment and high-functioning data science team is driving thought leadership in a variety of areas.

Insights Driven Culture — Data-driven insights are ingrained in processes and accessible across the business to measure and drive action, resulting in the ability to seamlessly integrate data and insights into new business policies and processes.

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* 10. Does your organization have a formalized enterprise data strategy in place?

Yes

No, but plan to within the next year

No, but plan to within the next five years

No, establishing an EDS strategy is not a priority for us

Not sure