Expert AI Consulting That Enables Your Success
DecisionIQ helps your company achieve a competitive advantage through AI-enabled decision-making. The result is better financial performance through upgraded operational execution. To date, we have helped our clients achieve over $16M in wins from cost savings and increased product output. Our experienced consulting will accelerate your company's AI adoption with strategic and tactical solutions built on our extensive real-world experience in the challenging world of industrial IoT. Get documented strategic plans and implementation SOWs based on the realities of your organization's data maturity and internal AI skills. We also provide technical services and proprietary AI technology that work together as a catalyst for building a successful analytics program.
AI Solution Types
Increase Uptime, Capacity, Yield
Reduce unplanned downtime caused by failures in production process and equipment health.
Improve Quality, Compliance
Predict and resolve factors that adversely impact process quality and regulatory failures.
Close the Skills Gap
Capture scarce knowledge from retiring SMEs into your AI modeling. Use this knowledge as a reference system for younger talent to work as if they had 20 years more experience.
Be Ready for Sudden Disruption
Build a digital twin of your operations then stress test impact of unexpected scenarios, like supply shortages. rapid demand and channel shifts. Create a playbook for every possibility that puts you on a footing to respond.
Our Frameworks for a Successful AI Program
1. Learn AI Capabilities
We've encountered several organizations that wasted time and money pursuing the wrong use cases, the wrong AI technology for the job at hand. We avoid this by collaborating on a strategic road map and moving into step #2. We make assessments of company data maturity and data science skills, then recommend upgrades to build out a more results driven AI program.
2. Create a Portfolio of AI Projects
Systematically develop a prioritized portfolio of AI projects. We recommend workshops engaging SMES and stakeholders. Determine use cases and analytics technology required. Are use cases connected to strategic priorities? Can the analytics be supported with available data? Is ROI to be achieved thru cognitive insight only (pilot) or will cognitive engagement (deployment) be required?
3. Launch Pilots
The gap between current and desired AI capabilities is not always obvious. Companies should create pilot projects for cognitive insight (underlying use-case diagnostics) before scaling them to cognitive engagement (deployments). Proof-of-concept (POCs) are particularly suited to high-value initiatives. They allow the organization to test different approaches at the same time.
4. Scale Up to Platform Deployments
The greatest challenge is transitioning pilots and POCs into a platform deployments using cognitive engagement - integrating predictions and diagnostics into user workflow. AI project teams need detailed plans that reflect collaboration between functional groups and process stakeholders. Important question: is the required AI even possible/feasible in a deployment?
Who We Serve
Achieve AI and cloud enabled digital transformation that meets strategic goals
Produce winning POCs that have a deployment plan & align with strategic goals
AI Platform Builders
Choose the right platform. Achieve POCs & deployments that produce value.
Choose the right IT/OT systems to enable AI platforms to perform better
Our Lead AI Consultant