Analytics Vidhya
OCTOBER 30, 2024
Bria AI is a generative AI platform for the production of professional-grade visual content, mainly for enterprises. They design their models with responsible AI use in mind, utilizing licensed data to ensure compliance and ethical practices. Model appeared first on Analytics Vidhya.
CIO Business Intelligence
OCTOBER 30, 2024
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. To learn more about how enterprises can prepare their environments for AI , click here.
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CIO Business Intelligence
NOVEMBER 27, 2024
But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. Data quality for AI needs to cover bias detection, infringement prevention, skew detection in data for model features, and noise detection. Getting the extra 10% may not be worth it for small improvements in the model.
Analytics Vidhya
APRIL 5, 2024
Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. Let’s explore the features and implications of this new model.
Advertiser: Data Robot
With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.
CIO Business Intelligence
JANUARY 14, 2025
For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.
CIO Business Intelligence
APRIL 24, 2025
However, these applications only show a small glimpse of what is possible with large language models (LLMs). Although LLMs are capable of generalization, the constraints of the enterprise environment require a relatively narrow scope for each individual application. The short answer is no.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
Advertiser: Data Robot
With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
Advertiser: Data Robot
Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Using data models to create a single source of truth. Deploying “data as code” throughout the enterprise. Combining data integration styles. Translating DevOps principles into your data engineering process. Making everyone a data analyst with a semantic layer. Using augmented analytics for predictive and prescriptive analyses.
Speaker: William Hord, Vice President of ERM Services
In this webinar, you will learn how to: Outline popular change management models and processes. When an organization uses this information aggregately and combines it into a well-defined change management process, your ability to proactively manage change increases your overall effectiveness. Organize ERM strategy, operations, and data.
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In this whitepaper you will learn about: Use cases for enterprise audio. Deepgram Enterprise speech-to-text features. How you can label, train and deploy speech AI models. Why Deepgram over legacy trigram models. Overview of Deepgram's Deep Neural Network. Download the whitepaper to learn how Deepgram works today!
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor
This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design. This is a panel discussion you won't want to miss!
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