Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Education
Applicable Functions
- Product Research & Development
Use Cases
- Construction Management
- Predictive Maintenance
Services
- Data Science Services
- Training
The Customer
Neurothink
About The Customer
neurothink is a US-based start-up that aims to democratize AI and ML by making these technologies accessible to a broad audience. The company's target audience includes data scientists, enterprises, students, and hobbyists. neurothink's mission is to lower the barriers to access, enabling machine learning to be harnessed for a wide range of projects, from mapping the ocean floor to determining the ideal site for a windmill. The company's goal is to transform AI by providing efficient access to powerful compute resources, making it an everyday tool for a wide range of users.
The Challenge
neurothink, a US-based start-up, aimed to make machine learning (ML) and artificial intelligence (AI) 'radically accessible' to a broad audience, including data scientists, enterprises, students, and hobbyists. However, the barriers to entry into ML were high due to fragmented platforms, scarce access to powerful GPUs, and a steep learning curve for creating and training models. Additionally, neurothink faced the challenge of delivering a robust, enterprise-capable platform built on start-up resources. They needed an automated, efficient platform that could deliver huge amounts of compute power in a secure environment. The company also needed to ensure a quick market entry to seize the first-mover advantage, which required a superior product and the right partnerships.
The Solution
neurothink partnered with VMware to create an end-to-end environment for users to easily build, train, and deploy AI models. The solution was built on VMware Cloud Foundation, which enabled neurothink to manage virtual machines and container-based workloads with ease. The solution included VMware Carbon Black Cloud for visibility into the software stack, Tanzu Kubernetes Grid Integrated Edition for container-based workloads, and VMware vSphere BitFusion to virtualize hardware accelerators such as GPUs. This provided a pool of shared, network accessible resources. The VMware solution provided the secure compute power needed for neurothink customers to customize the environment to their needs. VMware Tanzu Observability proactively monitored the company’s infrastructure servers, identifying issues quicker and enabling neurothink to resolve them before they impacted performance.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
IoT platform Enables Safety Solutions for U.S. School Districts
Designed to alert drivers when schoolchildren are present, especially in low-visibility conditions, school-zone flasher signals are typically updated manually at each school. The switching is based on the school calendar and manually changed when an unexpected early dismissal occurs, as in the case of a weather-event altering the normal schedule. The process to reprogram the flashers requires a significant effort by school district personnel to implement due to the large number of warning flashers installed across an entire school district.
Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
Revolutionizing Medical Training in India: GSL Smart Lab and the LAP Mentor
The GSL SMART Lab, a collective effort of the GSL College of Medicine and the GSL College of Nursing and Health Science, was facing a challenge in providing superior training to healthcare professionals. As clinical medicine was becoming more focused on patient safety and quality of care, the need for medical simulation to bridge the educational gap between the classroom and the clinical environment was becoming increasingly apparent. Dr. Sandeep Ganni, the director of the GSL SMART Lab, envisioned a world-class surgical and medical training center where physicians and healthcare professionals could learn skills through simulation training. He was looking for different simulators for different specialties to provide both basic and advanced simulation training. For laparoscopic surgery, he was interested in a high fidelity simulator that could provide basic surgical and suturing skills training for international accreditation as well as specific hands-on training in complex laparoscopic procedures for practicing physicians in India.
Case Study
Implementing Robotic Surgery Training Simulator for Enhanced Surgical Proficiency
Fundacio Puigvert, a leading European medical center specializing in Urology, Nephrology, and Andrology, faced a significant challenge in training its surgical residents. The institution recognized the need for a more standardized and comprehensive training curriculum, particularly in the area of robotic surgery. The challenge was underscored by two independent studies showing that less than 5% of residents in Italian and German residency programs could perform major or complex procedures by the end of their residency. The institution sought to establish a virtual reality simulation lab that would include endourological, laparoscopic, and robotic platforms. However, they needed a simulator that could replicate both the hardware and software of the robotic Da Vinci console used in the operating room, without being connected to the actual physical console. They also required a system that could provide both basic and advanced simulation training, and a metrics system to assess the proficiency of the trainees before they performed surgical procedures in the operating theater.