Machine Learning Consulting

Get specialized guidance around building and optimizing ML models for predictive analytics and decision-making.

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Artificial Intelligence (AI), powered by Machine Learning, is finally accessible for mid and large-size organizations to leverage for ROI improvements.

Machine Learning (ML) may look different from traditional software development, but is well within reach for any sized organization. Modern tools make the experience of building and deploying predictive models “a snap.”

Our data science and machine learning (ML) consultants help leverage these tools to improve your bottom line by:

  • automating org-wide processes
  • streamlining workflows for efficiency
  • creating systems to proactively monitor for issues
  • allowing for data-driven decision-making at scale

Prior investment in data quality or reporting is not required. Since most AI applications are built from raw operational system data; data warehouses are not a crucial source of data.

Our Data Science, AI, and Machine Learning consultants have the business and technical expertise to guide you through solving complex problems using the power of artificial intelligence and advanced analytics.

ML consulting help you turn your data into action for:

Many avoidable outcomes could be prevented if someone was watching. Adverse events may be rare, but when they occur, the human and financial impacts can be devastating.

AI can be your watcher. It has the power to continuously monitor data to find anomalies. Applications include watching for fraudulent activity, defects and quality issues, and safety risks.

Even better, using machine learning, AI has the power to learn which complex data patterns suggest an impending problem. This capability often makes AI/ML a better watcher than any human.

We love our clients.

Our Related Machine Learning Services

Creating a Machine Learning and AI implementation roadmap starts with identifying opportunities for where ML and AI have a high potential for improving ROI.

Our ML consultants work with you to define and articulate a modernization roadmap to start your journey the right way.

We’ll build business cases to help you understand how ML & AI can transform specific workflows and processes to create financial and operational lift.

Our business cases are informed by our Industry Vertical experts and market research, ensuring you will be armed with a financial analysis to make a strong claim for funding and buy-in.

We help you plan a roadmap that introduces AI and ML into your organization.

Topics include funding and anticipated returns, pilot programs, introducing change, establishing an internal competency, and technical approach.

ON-DEMAND WEBINAR

AI’s Next Disruptor: Go Beyond ChatGPT with AI Agents

AI is rapidly evolving beyond the familiar chatbots. While many leaders use tools like ChatGPT to increase productivity, AI agents will transform how businesses operate entirely. With the power to take on roles and make decisions, these supercharged AI “minions” are the next breakthrough in AI technology.

In this on-demand webinar, our AI experts will guide you through a strategic approach to piloting AI agents in your organization. If you want to stay ahead in the AI arms race and drive significant returns, this executive session is for you.

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ML To Support Business Functions Across Industries

Our carefully crafted, value-based machine learning approach is designed to support key business functions and outcomes across various industries.

We use a use-case based methodology that minimizes delivery risk and develops long-term strategic relations with our clients.

The goal is to minimize efforts associated with attaining desired maturity, bypassing organic growth curves, and delivering business value drops in weeks, rather than months and years.

Our Machine Learning FAQs

What types of machine learning problems do you typically solve for businesses?
We help businesses create business cases and roadmaps for artificial intelligence (AI) and machine learning (ML) that will identify opportunities that have a high potential for ROI. We can also help you develop a rapid pilot so you can quickly test an ML application. Lastly, we can help organizations improve existing processes and establish new ones for working with their new ML or AI applications.

How do you approach integrating machine learning solutions into existing business processes?
We start by leading your organization in a discovery process to identify current use cases. Before, during and after the technical implementation, we document current processes and evaluate how to streamline them based on how the machine learning solution will work with your team, as well as communicate the upcoming changes while establishing a robust change management strategy.

What kind of data is required to start a machine learning project with your consulting services?
You don’t necessarily need to have prior investment in data quality or reporting to get started on a machine learning project. We can work with you to build a custom AI or ML application using raw operational system data, so you don’t always need a data warehouse to get started, either. That said, our data consultants can work with you to address your data modernization, governance, strategy needs to fully support your evolving business.

Can you provide examples of successful machine learning implementations you have delivered?
In one example, we worked with a clinical terminology company to implement machine learning to help them quickly create and maintain medical description consistency. The organization is dedicated to helping healthcare professionals establish a shared language so that when, for example, a patient receives a prescription or recommendation, the doctor, nurse and pharmacist all have the same understanding of the prescription. To keep up with the millions of nuanced descriptions, the company turned to us to develop a natural language processing and ML solution. We helped them improve their experts’ capacity by developing a recommendation tool that allowed the client to map 62 percent of new descriptions to a recommendation list where the correct procedure was in the top ten list about three-quarters of the time.

How do you ensure the scalability and sustainability of machine learning models in production?
We ensure the scalability and sustainability of machine learning models in production by starting with a rapid pilot. We work with executives to identify opportunities for meaningful process improvements and sourcing data while determining how AI and ML would fit into the organization’s future. This allows us to determine a use case, which we then dive into to see if the necessary signals are in place. If they are in place, we’ll build an initial model and test its efficacy. Once the testing phase is complete, we move forward to make any necessary changes and implement change management so team members are excited about the updates as well. Once the team has adopted the models, sustainability and scalability become much easier.

What is your process for developing a business case and roadmap for machine learning projects?
We work with you to define and develop a roadmap for AI and ML based on projects that will have a high potential for ROI. We’ll also establish business cases based on our market research and Industry Vertical experts, so you know you have the financial analysis to create a strong claim for buy-in and funding.

How do you handle change management and training for employees adopting new AI/ML solutions?
We consider change management critical for implementing new processes into an organization. We’ll document and streamline new processes while communicating the upcoming changes to employees and developing a robust Change Management strategy.

Client Story

Showcasing the Potential of Data with Proofs-of-Concept

Read how machine learning helped our non-profit client use less money to create more jobs by successfully sourcing the data needed to develop strong predictive models for Site Capture and Site Retention models.

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Exploring AI from Workshop to Roadmap

We knew we wanted to be at the forefront of exploration and implementation with ChatGPT and other AI technologies. The challenge was that there was so much new and changing information we weren’t sure where to start. We now have a solid roadmap to execute right away and lay the groundwork for what our future could look like.

Chanel Smith, Chief Knowledge and Excellence Officer, What Chefs Want

Ready to start your ML journey and solve business problems? Let our data science experts help you.

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