Three Steps to a Successful Data Strategy
Introducing Data Strategy: What’s the Big Deal?
Market research firm Gartner describes data strategy as “[the] process...
We work with companies of all sizes to help measure their readiness to implement artificial intelligence. The work results in a roadmap to AI-initiative success using our readiness framework, AIQ™(Artificial Intelligence Quotient).
Our AIQ™scoring algorithm & analysis, helps you visualize where you should invest in AI, what AI technologies might be a good fit - Machine Learning, Intelligent Automation, Natural Language Processing, Machine Vision - and how you should budget for AI solutions. Contact us to learn how we can help you both roadmap & achieve your AI goals. Note: Most have AIQ roadmaps in-hand in 4-6 weeks.
You don't need to score high in all of them to find success in solving business problems with AI technologies, but there are likely key areas where you need to improve and spend your budget first to tackle priority problems. We help you determine this through a five-step rapid data strategy process to assess, recommend, and roadmap a path to AI excellence. Our comprehensive approach helps companies fully realize the benefits of AI, while minimizing the risks. We go through a series of Q&A gathering sessions both online & in-person to identify specific needs and objectives, and then tailor your roadmap to meet those needs. And if you like, we can revisit that roadmap with you every year.
It all begins by assessing your organization's maturity in the 11 key AI capabilities:
Synaptiq.ai Co-Founder and CEO, Stephen Sklarew, answers your frequently asked questions about AIQ, and how...