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Mosaic Data Science Named Top AI & Machine Learning Company of 2024 by CIO Review
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The data science consultancy is honored to have received this recognition for the second consecutive year.
The data science consultancy is honored to have received this recognition for the second consecutive year.
Leesburg, VA – May 14, 2024 – Mosaic Data Science, a trailblazer in data science consulting, has been recognized as the Top AI & Machine Learning Company by CIO Review for the second consecutive year. This prestigious accolade underscores Mosaic’s commitment to delivering transformative, actionable analytics solutions that empower enterprises to harness the full potential of AI, ML, and mathematical optimization for insightful decision-making.
“Where technology meets human ingenuity, transformative innovations that redefine industries are born,” said Chris Brinton, CEO of Mosaic Data Science.
This statement encapsulates the core philosophy of Mosaic, a premier artificial intelligence company devoted to equipping enterprises with robust, actionable analytics solutions. Mosaic’s team of data scientists is renowned for its deep domain expertise, positioning the company as a leader in superior, scalable solutions that drive significant digital transformations. Its unique blend of data engineering, statistical analytics, and problem-solving prowess ensures that strategic business visions and digital aspirations are realized. Through a well-established customer engagement model, Mosaic has carved a niche for itself, consistently delivering a competitive advantage in our tech-driven era.
“We transcend typical AI/ML boundaries by delivering solutions rooted in real-world applications that foster growth, enhance operations, and produce measurable outcomes,” highlights Brinton. “Our mission is to simplify data science, making these powerful technologies accessible and effective for both burgeoning startups and established enterprises looking to expand their capabilities.”
Mosaic champions adopting bespoke AI/ML tools tailored to the nuances of client needs—be it enhancing existing teams or managing entire project lifecycles. Their offerings have evolved to include innovative solutions such as the Neural Search Engine, Mosaic.deploy, and Data-Driven Decision Dynamics.
“Named the top insight engine of 2024 by CIO Review, our Neural Search engine transcends traditional text-matching limitations,” said Mike Shumpert, VP of Data Science. “As businesses increasingly embrace GenAI and Large Language Models (LLMs), the strategic advantage lies not just in using these technologies but in expertly tuning them to specific needs. With our pioneering work in Reader/Retrieval Architectures, Neural Search helps unlock significant business value and empower clients with actionable insights for strategic decision-making.”
These services and tools ensure that clients find optimal engagement paths tailored to their specific needs, thereby maintaining pace with technological advances and securing industry leadership. Mosaic’s solutions are particularly noted for integrating custom predictive and prescriptive analytics that seamlessly align with client data and business workflows, enhancing strategic outcomes with precision and expertise.
“Mosaic.deploy enables clients to deploy AI/ML models efficiently while remaining sustainable and ethical,” said Drew Clancy, VP of Sales & Marketing. “This ensures long-term success, with an eye toward achieving explainable AI to help customers leverage these technologies for a sustainable future.”
Mosaic’s expertise extends beyond implementing AI/ML solutions; it guides organizations throughout the adoption lifecycles. From scoping and executing AI roadmaps to building a sustainable MLOps pipeline, it offers guidance that ensures seamless integration and impactful results.
“Each project requires custom AI/ML tuning to guarantee ideal outcomes,” said Chris Provan, Managing Director of Data Science. “Our methodologies—designed to make data science techniques understandable and actionable—and our expertise in the niche lead to the best outcomes, transforming challenges into growth opportunities.”
Mosaic’s dedication to ethical AI practices is further demonstrated through its partnership with Epstein Becker Green. Mosaic offers explainable AI and bias auditing services to help de-risk clients’ AI plans, ensuring that crucial information is ethical and reliable for better decision-making and compliance with industry standards. This partnership is ideal for evaluating AI lifecycles for potential risks, improving governance, and offering holistic solutions for fair AI decisions.
Over the last decade, Mosaic has achieved over 350 successful AI/ML deployments and participated in countless analytics and optimization projects across dozens of industries, proving that they aren’t simply participating in the AI revolution—they are leading it. This recognition as the top AI & ML company of 2024 by CIO Review affirms Mosaic’s role as a key innovator in the AI and machine learning space, continually pushing the envelope in analytics development and reinforcing its leadership in continuous innovation.
About Mosaic Data Science
Mosaic Data Science is a leading technology and business innovator known for its expertise in AI and ML. With services ranging from Neural Search Engines to AI/ML roadmaps, Mosaic excels in crafting cutting-edge solutions that propel client business goals. It is the Top AI & Machine Learning Company of 2024.
About CIO Review
CIO Review is a leading technology magazine that bridges the gap between enterprise IT vendors and buyers. As a knowledge network, CIO Review offers a range of in-depth CIO/CXO articles, whitepapers, and research studies on the latest trends in technology.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn. It encompasses various technologies, including machine learning and neural networks.
Machine Learning is a subset of AI that enables systems to learn from data and improve their performance over time without being explicitly programmed.
Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Explainable AI refers to methods and techniques in AI that make the decision-making process of models understandable to humans, ensuring transparency and trust.
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