Accelerating Product Readiness in the New Normal

In the second installment of our ‘Doing More With Less’ series, we explore the critical challenges and opportunities that we expect Consumer Packaged Goods (CPG) companies to face today in the “new normal” and in the future as consumers increasingly pivot to digital purchases.

In the first installment of our ‘Doing More With Less’ series, we highlight the creative strategies employed by our customers on the Stitch Fix creative operations team as they manage workflows remotely and prioritize shared access to data.

We are pleased to announce our newest member of the executive leadership team, Nadjya Ghausi, who is joining us as Impira’s Chief Marketing Officer (CMO).

Unstructured data is notoriously difficult to structure and query, but Impira Query Language (IQL) enables users to get “What” they need from information systems without worrying about “How” to search for it.

In light of the COVID-19 pandemic, here are five strategies our team is implementing to adjust to working from home.

Artificial Intelligence promises to solve a whole host of complex business problems, but how can you know for sure that a given problem is ripe for AI?

In part two of this series, we take a look at how no code is enabling machine learning to tackle complex workflows previously resistant to process automation.

This week, we examine business process automation, where recent advances in machine learning technology are enabling enterprises to automate tasks for unstructured data.

Consumer and enterprise software has evolved to become highly intuitive and user-focused. Machine learning, however, has mostly operated outside the users' control, only vaguely influenced through implicit feedback. At Impira, we are working on bringing explicit machine learning training into the hands of the user with our new product, Mango Beta.

We are excited to announce the release of Mango Beta. Mango offers no-code data extraction to unlock the data in visual files within minutes.

The path to success in eCommerce is recognizing the importance of product data quality and optimizing it with AI technology.

At NRF, fun and interactive AI exhibits dominated the scene. But glitzy as they were, they don't represent the full scope of AI-powered systems, which often work behind the scenes.

With 2019 behind us, it’s helpful to think through some of the trends we’ve been tracking and how we believe they will impact technology and its users over the course of 2020.

With Impira’s Data Intelligence Platform, gone are the headaches of managing vast amounts of product data, assets, and metadata sitting in multiple disparate repositories.

We are excited to announce the release of the Impira plugin for the Adobe Creative Cloud. This new capability empowers creative teams to work smarter by bringing the Impira platform experience into the Adobe Creative Cloud environment.

We are pleased to announce our newest member of the executive team, Anand Mariappan, who is joining us as Vice President of Engineering.

At Impira, we’re finally gaining ground on the visual data problem, by taking cues from the original database technology: our brains.

In spite of the immense benefits that Machine Learning offers, this technology has been very slow to take off, particularly in the enterprise world. At Impira, we believe a key reason for this is the lack of well-designed feedback loops that serve to continuously improve machine learning models.

Most businesses have had to adapt their metadata to match the capabilities of the product information management (PIM) systems they employ, rather than employ systems that adapt to their specific business needs. Today, emerging technologies like Artificial Intelligence hope to enhance the utility of such systems.

Born out of a passion for organizing unstructured information with artificial intelligence, Impira helps companies of all sizes search for any image, document, product, or related data—so that teams can focus on meaningful work.