building

In: Artificial Intelligence

In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow inefficiencies. Add on top of thisContinue Reading

In: Artificial Intelligence

Organizations today deal with vast amounts of unstructured data in various formats including documents, images, audio files, and video files. Often these documents are quite large, creating significant challenges such as slower processing times and increased storage costs. Extracting meaningful insights from these diverse formats in the past required complexContinue Reading

In: Artificial Intelligence

Many organizations rely on multiple third-party applications and services for different aspects of their operations, such as scheduling, HR management, financial data, customer relationship management (CRM) systems, and more. However, these systems often exist in silos, requiring users to manually navigate different interfaces, switch between environments, and perform repetitive tasks,Continue Reading

In: Artificial Intelligence

The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how toContinue Reading

In: Artificial Intelligence

This is a guest post co-written with Tim Krause, Lead MLOps Architect at CONXAI. CONXAI Technology GmbH is pioneering the development of an advanced AI platform for the Architecture, Engineering, and Construction (AEC) industry. Our platform uses advanced AI to empower construction domain experts to create complex use cases efficiently.Continue Reading

In: Artificial Intelligence

create_response = client.create_guardrail( name=”math-tutoring-guardrail”, description=’Prevents the model from providing non-math tutoring, in-person tutoring, or tutoring outside grades 6-12.’, topicPolicyConfig={ ‘topicsConfig’: [ { ‘name’: ‘In-Person Tutoring’, ‘definition’: ‘Requests for face-to-face, physical tutoring sessions.’, ‘examples’: [ ‘Can you tutor me in person?’, ‘Do you offer home tutoring visits?’, ‘I need a tutorContinue Reading

In: Artificial Intelligence

This post is co-written with David Gildea and Tom Nijs from Druva. Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility andContinue Reading