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Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit

Analytics Vidhya

Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue. The most challenging part of integrating AI into an application is […] The post Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit appeared first on Analytics Vidhya.

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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

You ’re building an enterprise data platform for the first time in Sevita’s history. We knew we had to bring the data together in an enterprise data platform. For the first time, we’re consolidating data to create real-time dashboards for revenue forecasting, resource optimization, and labor utilization.

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Unlocking the full potential of enterprise AI

CIO Business Intelligence

1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.

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VMware and NVIDIA Partner to Revolutionize Enterprise Generative AI

Analytics Vidhya

Their partnership aims to unlock the potential of generative AI for enterprises. It promises customized models, advanced applications, and an optimized AI experience. Also Read: Microsoft Azure […] The post VMware and NVIDIA Partner to Revolutionize Enterprise Generative AI appeared first on Analytics Vidhya.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

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.

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5 reasons the enterprise data center will never die

CIO Business Intelligence

In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional data centers and moved everything to the cloud. The enterprise data center is here to stay. As we enter 2025, here are the key trends shaping enterprise data centers.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. OpenAI in particular offers enterprise services, which includes APIs for training custom models along with stronger guarantees about keeping corporate data private. What’s the reality?

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.

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Upgrading Data Security in a Crisis

Speaker: M.K. Palmore, VP Field CSO (Americas), Palo Alto Networks

In most cases, the COVID-19 crisis has sped up the desire to engage in digital transformation for medium-to-large scale enterprises. How to update existing tech stacks to optimize data security. Roadmaps are rarely implemented without challenges. In this webinar, you will learn: The future of data security. And much more!