Business runs on documents and communications. They underlie almost every process you can think of—anywhere a message (like an email or chat) or document is read or sent. It’s no surprise, then, that the market for intelligent document processing (IDP) is growing 28.9% each year and is expected to hit $17.8 billion by 2032. IDP […]
Intelligent document processing: To build or to buy? Read More »
As we wrap up July and Disability Pride month, we’re reminded that a commitment to support differently abled people and neurodiversity shouldn’t be restricted to calendar observances. We should embrace it throughout the year, defining how we operate as businesses, teams, and individuals. Embracing neurodiversity doesn’t merely speak to our capacity to accept differences, but
Neurodiverse individuals play a vital role in building inclusive AI Read More »
Having ascended from emerging technology to mainstream business imperative, artificial intelligence is no longer just the domain of tech experts. To keep up, business leaders across industries need to know how to speak the language of AI. That’s the idea behind this glossary. It will provide you with the essential terms and phrases needed to
The ultimate AI glossary: Artificial intelligence definitions to know Read More »
Transformers are one of the most popular architectures used in both sequence modeling and computer vision. At the center of Transformers is the attention mechanism, which compares each element of a sequence with every other element. This pairwise similarity score is used to decide how much the other tokens contribute to the new representation of
Latte: Latent Attention for Linear Time Transformers Read More »
It’s hard to believe in hindsight, but when the internet and cloud computing burst onto the scene some three decades ago, their potential was largely underestimated. Today, we know that those who fully embraced these technologies—not merely as productivity tools, but as engines for radical business transformation—ended up building the largest, most powerful enterprises in
AI’s next act is agentic: It’s not just thinking—it’s doing Read More »
As scientists compete to build the first human-level AI, enterprises find themselves in a less dramatic, but no less important, race. The race to deploy game-changing AI use cases in their organizations. However, while the business impact of AI can be transformational, time to deployment and value are critical. For businesses lacking extensive AI and
Slow and steady won’t win the race to build enterprise AI Read More »
