Projecting AI to Fill the Gap in Our Data Optimization Strategies

Deloitte has officially announced a new partnership with Hewlett Packard Enterprise and NVIDIA to develop GenAI solutions. According to certain reports, the collaboration will combine Deloitte’s deep industry knowledge, AI, and technical capabilities with the newly revealed NVIDIA AI Computing by Hewlett Packard Enterprise (HPE) solution portfolio. Once combined, these components will conceive a set of cutting-edge solutions, solutions that will accelerate for clients their all-important time to value aspect. Talk about the whole value proposition on a slightly deeper level, it begins from the promise of a digital twin application built on the NVIDIA Omniverse platform and HPE GreenLake. This application will basically leverage Deloitte’s rapid use case development methodology and accelerators to help manufacturing organizations, regardless of where they are in their digital maturity, extract and manage the data needed to pioneer, engineer, and deploy manufacturing simulations. To give you a better idea regarding the same, companies can incorporate new, previously undiscovered data to simulate outcomes, test the efficiency of new greenfield facility designs, predict potential issues, develop and test new products or differing chemical makeups, and do much more. Next up, we have the partners’ bid to produce extra industry-specific use cases that leverage HPE Private Cloud AI’s full-stack capabilities for Generative AI, also built on NVIDIA accelerated computing technology and NVIDIA AI Enterprise software.

“Amid a marketplace moving at breakneck speed, Generative AI can unlock game-changing insights and enormous business value — but its success requires an agile approach that targets business transformation through an industry-specific lens and is rooted in data modernization,” said Jim Rowan, AI market activation leader and principal at Deloitte Consulting LLP. “As leaders seek high-performing enterprise AI and data solutions that tackle their most critical business challenges, our collaboration with HPE and NVIDIA marks a natural next step in our commitment to bringing our clients actionable insights backed by the power of HPE technology and NVIDIA full-stack accelerated computing.”

Markedly enough, companies can also check for themselves the benefits conceived by this partnership, and they can do so at the Smart Factory by Deloitte @ Wichita, Deloitte’s first-of-its-kind client experience center with an ecosystem of 18 world-renowned solution providers and futurists which serves as a testing ground for organizations to experience the impact of Industry 4.0. On top of that, organizations can also experience spatial computing and digital twin offerings from Deloitte’s Unlimited Reality practice. This will help manufacturers deploy industrial digitalization applications and drive the next wave of digital transformation, with a particular emphasis on enterprise 3D simulation, powered by NVIDIA Omniverse core technologies.

The entire development also delivers, in particular, a rather interesting follow-up to the 25-year long shared history between Deloitte and NVIDIA. Earlier, the companies had worked together to advance AI in a different capacity, the whole effort largely powered by the full stack of NVIDIA hardware and software. To understand the depth of their relationship, we just have to consider that, just a few months ago; Deloitte was selected as the NVIDIA Partner Network (NPN) Global Consulting Partner of the Year, which honors leading enterprises for driving forward NVIDIA-powered solutions to help customers navigate the complexity of the AI lifecycle.

“We’re seeing that manufacturers are prioritizing the improvement of their data extraction capabilities in order to run future-looking simulations that de-risk decision-making to contend with today’s complex ecosystems,” said Tim Gaus, principal and Smart Manufacturing business leader with Deloitte Consulting LLP. “Our collaboration with HPE and NVIDIA helps break down common barriers in developing AI-focused solutions, particularly in managing vast amounts of industrial data from a variety of sources, and brings critical information to the edge.

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