Quansight: Turning Data into Insights with Open-Source Software
Published: 2023-05-20 | Author: VisionariesNetwork Team
Within the fast pace of change in the realms of artificial intelligence and machine learning, businesses are looking to new technologies as a way of innovating and keeping ahead of their competition. The open-source community and software developers worldwide working together on building and enhancing software that empowers AI and ML are at the heart of this process.
Quansight is a Data Science and Engineering company created by Travis Oliphant, one of the leading public figures in the Python data community, with prior key leadership and vision behind industry cornerstones like NumPy, SciPy, Conda, and Numba, and he has also greatly contributed to shaping NumFOCUS and the PyData Conference Series.
Travis's experience in the open-source community has given him the vantage point needed to build a team of top talent in the industry. More than half of the full-time technical staff at Quansight includes active contributors to open-source data projects, many of these contributors acting in leadership roles within their project communities. Lead contributors to the PyTorch project and one of the leading open-source machine-learning frameworks for building and training AI models, respectively, Quansight is building one of the largest teams of industry professionals in creating impactful software.
Quansight is committing to providing the highest level of custom support to its clients in succeeding with open-source software. Some of the kinds of services they are offering are PyTorch Quickstart, PyTorch Optimization, and PyTorch Training. Clients could build and optimize AI/ML systems with these services toward a newly created system or optimize existing systems.
Quansight leverages scientific Python plus its extensive library and tool ecosystem to deliver custom solutions that truly realize value out of data. The company empowers its clients and strengthens the open-source projects these leading technologies depend on with critical business insight and actionable knowledge.
Large Language Models are Revolutionizing AI
Large language models are a hot topic across the AI industry, where companies are striving to glean competitive advantages from their capabilities. The implementation of LLMs could be an intense and intimidating job for newbies. Quansight's decades of experience within the Python data ecosystem put us in good stead to help clients navigate the pathway.
The company offers numerous services aimed at guiding clients on how to begin LLMs, in which LLMs can add the most value, the current LLMs assessment, and how to tune the existing LLMs. Whether the client needs help in developing an LLM system or tuning one, the company's team of experts is available to guide the client accordingly.
Preserving Privacy through Nebari
A major concern with most organizations that are deploying AI is how to keep privacy and security maintained. The Quansight Nebari platform is an enterprise data science and MLOps platform that is designed to be highly customizable for use in maintaining control over data. The use of Nebari to build AI workflows in-house lets clients keep data in-house, instead of risking privacy and using third-party vendors.
Nebari is built out as a managed integration of open-source technologies—Jupyter, Conda, Dask, and more. Following an infrastructure-as-code approach and abstracting away all the DevOps details, it gives a seamless way to deploying and maintaining a shared data science environment. Nebari gives a flexible solution that meets your needs, whether you deploy your AI workflows for on-site or cloud use.
Travis Oliphant, CEO
Travis Oliphant, CEO of OpenTeams and Quansight, leads two companies that specialize in connecting companies with open-source communities and experts, enabling them to harness the power of data science, artificial intelligence, and machine learning. With over 20 years of experience in scientific computing, he has created and contributed to several widely used Python libraries and tools, including NumPy, SciPy, Numba, Conda, and Jupyter.
Travis's mission is to build successful businesses based on open-source principles while improving the way programs are written and data is analyzed. He enjoys taking complex concepts and bringing them to life by marshaling resources and people, simplifying complex ideas with programming, and developing products that make it easy for scientists, engineers, and others to leverage their domain expertise and utilize the computer as a general-purpose tool.
In addition to his roles at OpenTeams and Quansight, Travis serves as a strategic advisor to several startups and organizations in the data science and open-source space, including bodo.ai, Saturn Cloud, and NumFOCUS.
“Quansight’s staff includes seasoned scientists, engineers, and developers with advanced degrees, and diverse and specialized domain expertise.”
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