Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Production Assurance AI answers: Can we be profitable in the future?

In the last few years, we’ve all learned how to become more agile. In the face of unplanned events like a global pandemic and various geopolitical events, we had to change and pivot on demand. 

This holds true for individuals and businesses alike, and notably so in the manufacturing environments where I spend much of my time.

That’s why the promise of a new artificial intelligence (AI)-powered technology, called generative AI, is so promising for manufacturers – for today and the future. 

As Industry 4.0 establishes a strengthening foothold in manufacturing, the transition is facilitating greater accuracy and speed in areas where technology supports and improves human intervention. Generative AI will be an integral part of manufacturing’s technology transformation.

In manufacturing, new generative AI technology can be applied to the creation of an iterative, strategic business plan. 

In many ways, strategic business planning is ideal for AI’s capabilities. It can use disparate workflows and data siloes, allowing new levels of data-driven insight and precision. At Dell Technologies, we call this 

Production Assurance AI. 

What is Production Assurance AI?

Global economic conditions, labor shortages and supply chain issues are putting pressure on manufacturers’ profitability. 

In a market that’s competing for skilled workers and balancing unexpected outside disruptions, production efficiency is not the main goal for the digitization of manufacturing—it’s resiliency. 

While manufacturers confront many different challenges, the need for manufacturing organizations to adapt to changes on demand has never been greater. 

However, the most significant challenge involves the ability to plan and ensure profitability in the future. Addressing this challenge requires the creation of a strategic, iterative business plan. 

Capabilities of Production Assurance AI

Production Assurance AI uses enterprise-wide data to train the first pass and second-pass models. The generative AI solution then applies intelligence and inferencing to analyze that data. Insights from that data produce a business plan that predicts future production capacity and profitability and a way to track ongoing progress against the plan over time.

In support of strategic business planning, Production Assurance AI creates reports, forecasts and recommendations from the model for analyses. The generative AI solution has tools that allow “what-if” plans and analytics to track performance using inputs such as market analysis, production rates, maintenance costs and demand forecasts. 

Further, Production Assurance AI helps shape future profitability by enabling production risk mitigation and intervention processes, predicting future costs and product pricing to estimate future profitability. Production Assurance AI executes at the speed of each organization’s business. 

For example, Production Assurance AI can predict future maintenance costs and timing if manufacturers need new equipment for upgraded production lines or require major repairs to bring production lines back up to speed. 

In addition, the solution can evaluate the distribution system, channel partners and the current service network to estimate when expansion will be required. Production Assurance AI also examines and recommends any necessary logistics and supply chain changes, such as shifting from trucks to rail. 

Benefits of Production Assurance AI 

Production Assurance AI can bring a multitude of business-changing benefits to manufacturing organizations. Each benefit on its own is significant. Together, they can be revolutionary.

Benefits include: 

• Create the M&A strategy for the new enterprise.

• Eliminate siloed calculations with no data interdependencies. 

• Reduce reliance on massive spreadsheets and subjective, labor-intensive and hard-to-change manual analyses.

 • Enable weighted interdependencies among departments and the ability to change them easily. 

 • Produce an iterative, multiyear business plan using technology designed to maximize shareholder value. 

• Predict outcomes by using Production Assurance AI “what-if” tools to predict outcomes.

• Monitor how the organization is tracking with the business plan by using Production Assurance AI. 

Moving Forward

Whatever the time horizon — next week, next month, next quarter, or five years from now — Production Assurance AI is a powerful solution. It upgrades a less accurate, time-intensive, disconnected approach with one that creates a fast, accurate, holistic business plan with analytics that deliver insights into future profitability while tracking ongoing progress against that plan. Production Assurance AI is applying new generative AI technology to help manufacturers answer the question: Can we be profitable in the future?

Dell Technologies. Dell Technologies helps manufacturers around the world transform their business outcomes by applying technology to manufacturing practices and processes.

Intel. The compute required for GenAI models has put a spotlight on performance, cost and energy efficiency as top concerns for enterprises today. Intel’s commitment to the democratization of AI and sustainability will enable broader access to the benefits of AI technology, including GenAI, via an open ecosystem. Intel’s AI hardware accelerators, including new built-in accelerators, provide performance and performance per watt gains to address the escalating performance, price and sustainability needs of GenAI. Read more: Taking on the Compute and Sustainability Challenges of Generative AI

Want to learn more about Production Assurance AI? Click here to read a white paper for a deeper discussion HERE

Artificial Intelligence
Read More from This Article: Production Assurance AI answers: Can we be profitable in the future?
Source: News

Category: NewsApril 21, 2023
Tags: art

Post navigation

PreviousPrevious post:Pillars of successful multi-cloud application platformsNextNext post:4 perils of being an IT pioneer

Related posts

SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Consejos para abordar la deuda técnica
May 8, 2025
Training data: The key to successful AI models
May 8, 2025
Bankinter acelera la integración de la IA en sus operaciones
May 8, 2025
The gen AI at Siemens Mobility making IT more accessible
May 8, 2025
Recent Posts
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
  • IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
  • Consejos para abordar la deuda técnica
  • Training data: The key to successful AI models
  • Bankinter acelera la integración de la IA en sus operaciones
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.