Examples of the work we do for clients implementing AI.


ChatBOT design and implementation

Infomatics4AI can participate in chatbot design as a member of your implementation team, helping with specialized activities such as information architecture, building ontologies, metadata management, etc. We can also provide full service strategy, design and implementation services, where we work closely with your organization, but take on the full responsibility to build and operationalize your chatbot.


conversational Search and AI innovations

Infomatics4AI has worked on innovations made possible through AI such as "conversational search" -  a "back-to-the-future" concept. Remember the reference interview - where the librarian would ask questions before beginning to help find reference materials? Or the helpful salesperson that asks questions before recommending a product? Chatbots can now perform similar functions, helping users find what they need through a conversational exchange.

For organizations that already have the proper information architecture, conversational search can be a reality today. For example, companies that have deployed faceted search (also know as guide navigation) can likely support this type of innovation. Want some help innovating? Give us a call.


C-level briefings and seminars

As William Gibson said "the future is already here – it's just not evenly distributed." Briefing senior management and others is often the best way to get everyone on the same page with regard to artificial intelligence and machine learning projects. As you build an AI strategy you'll grapple with questions like:

  • What is doable now and what should be deferred?
  • How long should this take?
  • What resources will be needed to achieve our objectives? What do we have in-house and what external resources will we need?
  • What measurable results can we expect to achieve?

Many organizations are moving forward with AI, but with all the hype and misinformation, getting consensus can be difficult. Informatics4AI briefings can help cut through the fog, build team consensus, and develop a winning strategy.


Examples of the work we do for vendors building AI systems

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Go-to-Market strategies

At Informatics4AI our go-to-market work focuses on helping AI companies answer three key questions: What is your current situation? Where do you want to go? How do you get there?

Nearly all of our engagements start with the review or creation of a core value proposition, which ensures sales and marketing efforts are maximized and communication efforts yield the desired results.

Inbound marketing techniques are often a key component of a go-to-market strategy. Informatics4AI can help optimize a content strategy, or shape a new one, that will more effectively maximize leads while minimizing the resources needed to generate content.

Many clients also engage us to refine their PR strategy. We employ what we call a "first, best, only" PR approach, which generates more press coverage and increased brand awareness.



Raising Money & Exit strategies

Raising money can be a daunting process. Informatics4AI helps AI vendors though this process by:

  • Ensuring your investor pitch is compelling, concise, and easy for investors to understand.
  • Setting realistic expectations of a company's valuation.
  • Understanding the different types of funding sources and when to use them will vary based on your situation. Do you have a great idea? Do you have a finished product/service? Do you have customer validation? Or is the business already scaling and it's time to really hit the gas?

We have also worked with companies to structure exits that maximize the needs of founders, investors, and staff.

Informatics4AI also collaborates with investors to provide technical due diligence when evaluating AI technology is beyond their core competence.

In machine learning, which is more important - more data or better algorithms?

It depends, but better data is always better.
— One of the debates in AI