TL;DR:
- Sama introduces Platform 2.0, a re-engineered computer vision platform to reduce ML algorithm failures.
- The scalable platform offers greater transparency, faster delivery of annotated data and insights.
- Platform 2.0 achieves a remarkable 99% client acceptance rate for AI training data through SamaAssure.
- SamaIQ speeds up the ML model development process with proactive insights and early case identification.
- SamaHub serves as a collaborative space for data annotation, offering enhanced features and transparency.
- Sama’s commitment to quality and responsibility has attracted top-tier clients and B Corp certification.
Main AI News:
In a groundbreaking move, Sama, the unrivaled leader in providing cutting-edge data annotation solutions that drive the AI models of tomorrow, has proudly launched Platform 2.0. This re-engineered computer vision platform sets out to mitigate the risk of failures in machine learning (ML) algorithms. The platform’s complete overhaul, comprising SamaIQ™, SamaAssure™, and SamaHub™, offers unprecedented transparency to clients, minimizing the need for rework and empowering Sama to deliver annotated data and invaluable insights at a staggering pace, three times faster than ever before.
Earning an astonishing 99% client acceptance rate for AI training data, Platform 2.0 cements its position as the industry’s unrivaled quality guarantee through SamaAssure. It boasts an impressive annotation delivery rate, reaching an astounding 300+ million frames, 850+ million shapes, and a staggering 10 billion annotation points each month. Equipped with these revolutionary enhancements, Sama clients can now deploy machine learning models at an unparalleled speed, all while ensuring their AI models are trained on impeccable-quality data, alleviating any concerns related to drift or bias.
“As organizations continue to harness the power of machine learning algorithms to drive innovation, it is our collective responsibility as technology leaders to ensure that these applications are built using unbiased, top-tier data,” asserts Wendy Gonzalez, the visionary CEO of Sama. “Without precise and accurate inputs, AI applications run the risk of being ineffective and could even lead to potentially hazardous outcomes. The value of our Platform 2.0 lies not only in its unparalleled data accuracy but also in its unique combination of approach, human expertise, and groundbreaking technology.”
McKinsey’s research reveals a startling truth: only 36% of ML algorithms successfully move beyond the pilot stage, indicating that a staggering 60% fail to deliver the intended business impact. It is here that Sama emerges as a guiding light, helping companies effectively mitigate the risks associated with ML model failure through their unparalleled combination of state-of-the-art technology, actionable data insights provided by SamaIQ, and invaluable human expertise. Platform 2.0 boasts the ability to rapidly classify similar images based on multiple factors, effectively presenting unique images to the Sama team and thereby expediting the identification process.
Furthermore, the platform’s proactive approach, facilitated by SamaIQ, accelerates the entire ML model development process by promptly identifying actionable insights. These insights include early edge case identification, robust data trend analysis, detection of missing data, and invaluable feedback on model performance issues. Finally, Sama proactively customizes the platform to cater to each client’s specific requirements, leveraging their proprietary Human in the Loop (HITL) approach, which ensures that project annotators receive specialized training for each individual project.
SamaHub, the collaborative haven for data annotation and validation projects, serves as the ultimate command center, overseeing annotations, quality reviews, management, and reporting. This revamped hub incorporates a plethora of enhanced features, including an enhanced user experience, remarkable data visualization capabilities, and intuitive self-service reporting. The inclusion of enriched dashboards, equipped with granular filters, provides clients with unparalleled transparency into their data, allowing them to maximize the value derived from their models within the shortest time possible.
André Beaudin, Engineering Manager, AI & Advanced Processing at D-Box, expresses his unwavering confidence in Sama, stating, “Sama played a pivotal role in creating an immensely robust data set that made our immersive seats and haptic platforms remarkably responsive for motion in theaters and simulations. They expeditiously annotated training data for our ML models, maintaining exemplary consistency and accuracy throughout the process. Their team of annotators exhibited exceptional training, adapting swiftly to our unique requirements, even when faced with the most challenging tasks. Overall, we were tremendously impressed with the unparalleled quality control and the remarkable volume of work completed.”
Conclusion:
Sama’s launch of Platform 2.0 and its impressive 99% client acceptance rate for AI training data is a significant development in the market. The re-engineered platform addresses the risks of ML algorithm failures and offers clients greater transparency and faster delivery of annotated data. With features such as SamaIQ and SamaHub, Sama empowers organizations to deploy ML models faster and with exceptional data quality. This advancement positions Sama as a leader in the industry, attracting top clients and earning B Corp certification. Overall, the market can expect increased confidence in AI applications built on high-quality, unbiased data, driving innovation and mitigating risks associated with ML model failures.
