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Deloitte Quartz Collage AI™

Innovative platforms and frameworks, powered by NVIDIA

Deloitte combines deep generative AI technology and process experience with the business and industry acumen required to solve complex use cases that can radically change the way you do business. And we do this with solutions powered by NVIDIA’s ground-breaking platforms and frameworks that are enabling the new era of AI. Together we help enterprises:

Work smarter, not harder, with generative AI and Deloitte

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Create a force multiplier for what’s working well and amplify benefits

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Reduce the burden of human interaction while accelerating outcomes

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Use technology to guide decisions and keep focus on critical tasks

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What generative AI delivers

Generative AI is a subset of artificial intelligence focused on the ability of machines to create outputs across various modalities including text, images, audio, code, voice, and video. Generative AI uses models trained on massive amounts of input data to generate new, novel data similar to the data it was trained on.

Capabilities

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Deliver coherent summaries

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Offer natural language Q&A

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Transform content into something new

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Develop logical analysis and reasoning

Capabilities

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Generate text or images

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Create classifications

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Enable enterprise search

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DATA PREPARATION  >  AI TRAINING  >  OPTIMIZE FOR INFERENCE  >  DEPLOY AT SCALE

Deployment flexibility

Deloitte offers flexibility and choice so you can further balance needs around cost, performance, and security to get the desired results at scale. Enterprise deployment options include:

Future of Work: Ways of working in uncertain times

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Public cloud

SaaS, PaaS, and API options use cloud-native services and integrate with cost-effective open models.

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Private cloud

Single tenant cloud is powered by NVIDIA DGX within a secure environment, without using PaaS or third-party hosted services or models.

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On-premises

Whether it’s your data center or a colocation site, a fully-controlled NVIDIA-powered environment is appropriate when data, metadata, and AI models must be totally secure.

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Use cases for cross-industry application

Large language models (LLMs) can be developed to support any number of use cases across industries and business units:

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Christine Ahn

Christine Ahn

NVIDIA Chief Commercial Officer & Lead Client Service Partner

Christine Ahn is a principal of 20-years, serves NVIDIA as the Chief Commercial Officer and Lead Client Service Partner, and works with the U.S. Global team leading the Collaborations and Trade Corrid... More

Jim Rowan

Jim Rowan

Principal | Deloitte Consulting LLP

Jim is a principal at Deloitte and is currently the Head of AI for Deloitte. He helps clients transform their businesses using data powered analytical and AI solutions that enable better decision maki... More

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