Unlocking Your AI Potential: The Mosaic Data Science GenAI Readiness Assessment
We haven’t been spending time building our own LLM from scratch – instead, we have packaged our expertise in using these models to solve targeted use cases into a robust assessment.
Are you prepared to harness the transformative power of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) to revolutionize your business?
Mosaic Data Science is your strategic partner in evaluating and optimizing your organization’s readiness for this groundbreaking era. Our tailored GenAI Readiness Assessment is designed to guide your journey into the future of data-driven decision-making, ensuring you’re equipped to leverage the full potential of GenAI and LLMs.
83% of companies say AI is a top priority in their business plans.
What to Expect from Our GenAI Readiness Assessment:
Your Path to GenAI Excellence
1. Data Discovery Phase
(1-3 Weeks)
Our seasoned team will meticulously review your existing processes, systems, tools, and data sources. Our exploratory data analysis will focus on what opportunities are ripe for GenAI, LLMs, and other valuable analytic techniques tuned. With the participation of your Business Subject Matter Experts, Technical Teams, and Executives, we will identify insights and opportunities that set the foundation for your GenAI journey.
2. Opportunity Identification Phase
(3-5 Weeks)
Through a comprehensive multi-day workshop, we’ll present our findings and engage your leadership, stakeholders, and project personnel. Our workshops cover the landscape of GenAI, Regular AI, LLMs, Machine Learning, and Data-Driven Decision Making, tailored for different audience levels. We’ll assess your AI capabilities, align them with organizational objectives, and evaluate your data infrastructure’s suitability for future needs.
3. Opportunity Prioritization Phase
(5-7 Weeks)
Following the workshops, we’ll facilitate a second session to refine findings, recommendations and prioritize your GenAI efforts. We’ll provide a detailed roadmap and opportunity catalog, highlighting strategic and tactical returns on investment. Our focus is not just on potential but on how to effectively implement recommendations.
4. Deliverables
(7-10 Weeks)
Following the assessment, you’ll receive a comprehensive report that includes a data analysis overview to reveal key trends and pinpoint gaps. We’ll also evaluate your firm’s current capabilities, sharing a roadmap that outlines how to implement possible tools on high-impact use cases. Beyond the report, we offer tailored proposals for successful roadmap execution and ongoing support in addressing the needs highlighted during the assessment.
Top 5 LLM Use Cases
AI and LLMs are not just a technological leap; they’re a strategic imperative. By embracing this evolution, businesses gain a distinct advantage—staying ahead of the competition, enhancing stakeholder experiences, and optimizing both time and costs. In this white paper, we explore our top LLM business applications.
Ready to harness the power of Generative Artificial Intelligence (GenAI)?
Let’s connect and explore how Mosaic Data Science can elevate your organization’s potential.
The Genius Behind our GenAI Readiness Assessment
Unlock the full potential of your business with our comprehensive GenAI assessment. Our GenAI assessment is designed to not only capture the popularity and rise of GenAI but also to identify specific use cases, business questions, and decisions that can significantly benefit from AI implementation.
“I loved that the assessment was not so ‘technology-focused,’ Our organization is trying to become more ‘problem-focused,’ & this was great to help us learn how to evaluate the problem before applying the AI & ML tools.”
Data Science Leader, Global Energy Company
Take the First Step Towards GenAI
The time to embrace the power of AI is now. Experience the GenAI advantage with our unparalleled assessment, and turn web visitors into active sales opportunities. Join us in transforming your business into an AI-driven success story.
