Technology Multipliers have capabilities to help you in three broad levels — strategic, tactical, and implementation.
Strategic
It all starts with you understanding the value of your data and how AI can help your organization. At a strategic level, we can help you gain a better understanding of where opportunities lie. For example:
Identify AI opportunities in your organization
We can evaluate and present the value of your data and the impact it will have on your organization to company executives. With that understanding, we can work with you to develop a roadmap and identify the initial high-impact projects that align with your strategic objectives to leverage AI into your organization.
Leverage data analytics and AI
Most companies own unique data resulting from their operation or the type of industry they operate in. There are many opportunities to leverage this data to (i) optimize your operations, (ii) gain unique insights into the industry you operate in, and sometimes (iii) create revenue opportunities by packaging your data in new and unique ways. We have experience across multiple industries in guiding companies to discover the value of their data.
Assess the value of your data
Review completeness, freshness and integrity of the data you use every day. Evaluate the unique value, and potential competitive advantage of the data you own.
Define high-value AI use cases
Align data strengths with business goals (e.g., personalized recommendations, predictive maintenance, fraud detection). Prioritize by feasibility (data readiness, technical complexity) and expected ROI or risk reduction.
Tactical
At the tactical level, we can help you select the right technology and platform and help build the team necessary by identifying skill sets and expertise required to develop and support AI-based products or services. We can facilitate the transition by offering guidance to leaders of Product Management, Engineering, Dev Ops and QA.
Design a scalable infrastructure
Evaluate cloud or on-prem platforms for storage, computing (GPUs/TPUs), and MLOps (Kubeflow, MLflow). Design architecture blueprints that support your AI ambitions.
Assist in Finding AI talents
Hire or upskill teams in data engineering, ML engineering, and DevOps to automate model training, deployment, and monitoring or data analysis.
Tune your product development cycle
Accompany your team during the first few AI projects, making sure the organization and processes are sound and avoiding unnecessary first timer mistakes.
Implementation
At the implementation level, we can assist in the development of specific AI-based projects including natural language processing, traditional model development and deep learning. We typically advise your team on the implementation so you can build expertise in-house.
Contact Technology Multipliers to learn more about our data, Analytics and AI strategy capabilities along with other ways we can assist you.