Why Edge Case Detection Matters in Retail AI Models In the retail industry, artificial intelligence (AI) has become a transformative tool, revolutionizing customer experience, inventory management, demand forecasting, and much more. Retail AI models analyze vast amounts of data to make real-time decisions that can drive revenue and improve operational efficiency. However, like all AI […]
Autonomous vehicles (AVs) are at the forefront of AI innovation, promising a future where cars drive themselves, reducing accidents, and making transportation more accessible. However, developing safe and reliable autonomous vehicles requires addressing one of the biggest challenges in AI: detecting and handling edge cases. In the world of autonomous driving, edge cases refer to […]
In today’s data-driven world, data scientists are increasingly relying on visual data analysis and visualisation techniques to gain insights, optimize models, and make data more accessible to a wide range of stakeholders. Whether analyzing patterns in image data, inspecting video frames, or extracting insights from vast visual datasets, effective visual data analysis is crucial for […]
In recent years, the medical device industry has grown exponentially, driven by advancements in technology and an increasing global demand for healthcare solutions. However, with growth comes a set of complex challenges, especially when it comes to ensuring quality, safety, and regulatory compliance in manufacturing. Manufacturers face substantial obstacles, from defect detection to maintaining high […]
Agricultural organizations face a unique challenge. While the industry itself—as well as the farmlands upon which businesses within those industries make their money—are indisputably large, the actual profit margins that these businesses are seeing are remarkably slim.  Much of this, as we will discuss, is due to previously unseen inefficiencies, which put the burden on […]
Across industries, quality inspection is essential. Not only does thorough review of products ensure lower rates of returns from unsatisfied customers, it promotes trustworthiness in your brand. Whether you’re a grocery store making certain that your not selling rotten or damaged fruit, a toy manufacturer inspecting the safety of the paints and components of a […]
On February 3, 2023, a train comprising 38 cars derailed in East Palestine, Ohio, spilling hazardous materials and forcing emergency crews to conduct a controlled burn of multiple railcars. The accident necessitated the evacuation of residents within a one-mile radius and required responses from agencies across Ohio, Pennsylvania, Virginia, and West Virginia. Subsequent investigations revealed […]
Akridata’s Data Explorer offers an interactive platform, where the accuracy metrics are connected directly to the data, saving valuable time in analyzing model’s accuracy, understanding what caused inaccuracies and allowing DS teams to target the next training cycle exactly where the model misfires.
AI Visual Inspection: A Cost-Effective Solution for Medical Device Manufacturers Philips recently settled over 700 lawsuits relating to their line of sleep apnea machines and ventilators. Not only did their payout amount to over one billion dollars, but the company was forced to recall a million of their devices as well. Why? Poor inspection. While […]
In this blog, we’ll see how Akridata leverages existing models like CLIP and DinoV2 for an improved labeling flow.