Synaptiq
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About
Synaptiq is dedicated to guiding organizations in understanding and utilizing AI and machine learning to solve critical challenges. The company assesses AI readiness through its AIQ™ scoring, fostering a commitment to ethical AI practices. With a diverse team, Synaptiq focuses on data maturity and strategy development, offering services across various industries including healthcare and construction. Their leadership combines academic and practical experience to deliver innovative solutions tailored to clients' specific needs. Synaptiq emphasizes collaboration and continuous engagement with stakeholders to create meaningful, impactful AI products that improve human experiences.
Platform
Task
Features
• custom ai solutions
• data engineering
• aiq™ scoring
• data strategy development
• machine learning ops
FAQs
How could Synaptiq help my organization?
We help companies determine their strategy and roadmap for data and AI, laying the foundation for diverse use cases across industries.
How do I get started with Synaptiq?
You can start by identifying a relevant use case or engaging with us on a Strategy or Discovery project to create a business case.
How do I know if my data is mature enough for AI development?
It varies by use case; we conduct an initial analysis to determine if your data is sufficient for AI modeling.
What are some examples of having 'good data' for my problem?
Good data examples include comprehensive coverage of use cases, ample labeled supervised data, and overall high-quality data.
Are there tools that already exist in the market that can solve my problem?
Yes, pre-built tools exist for standard problems; however, critical issues typically require custom solutions.
Can my internal team handle this project or do I need an outside vendor?
This depends on your team’s capabilities; experienced data scientists are rare and highly valued.
How do I go about picking the right vendor?
Pick a vendor with relevant experience, good communication skills, and avoid solely basing the choice on cost.
How do I pick the right internal leadership to manage the vendor relationship?
The ideal leadership structure involves both a business executive and a technical leader to facilitate the project.
How do I build a business case and 'prove the ROI' to my CEO?
Developing a robust business case often requires initial funding for a proof of concept (POC) before wider investment.
How do I get the budget I need to accomplish my goals?
A failed AI project can damage support for future initiatives; starting with small projects allows for learning.
What are the implications of AI failure?
Success depends on various factors including communication, data quality, team support, and aligned expectations.
How do I guarantee success?
Start with a solid strategy and ensure resource alignment; keep leadership updated to foster understanding and support.
How do I do everything I can on my end to make sure this project is as successful as possible?
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