Manufacturing has been one of the sectors seeing the most potential opportunities when it comes to incorporating AI and GenAI. AI in manufacturing has unlocked value in areas as diverse as knowledge management, optimizing production processes, predictive maintenance, supply chain management, quality control and defect detection.
One area that has proven to be a challenge for AI in manufacturing is privacy and security. We’ll explore this further, including practical steps to ensure your GenAI programs are compliant with global best practices.
Challenges and Opportunities in Implementing GenAI Solutions for Enterprise Manufacturing
Enterprises’ use of AI has skyrocketed, from 521m transactions in April 2023 to 3.1 billion monthly by the beginning of 2024; manufacturers lead the charge, accounting for 20.9% of all AI/ML transactions.
This increase brings additional risks, from weaponized LLMs to adversarial AI, not to mention “traditional” privacy and security concerns – with many experts having noted the major privacy and security risks associated with AI in manufacturing.
Recently published research shows that only one in ten organizations has a dependable system to measure bias and privacy risks in LLMs, and that 93% of US businesses lack a thorough governance framework for GenAI, with most being at risk of noncompliance with regulations.
So how can organizations implement AI in manufacturing responsibly, ensuring that privacy and security concerns are met? And how can enterprises using third-party solutions verify that they are complying with the relevant laws and regulations in this regard?
5 Ways To Ensure Responsible Implementation of AI in Manufacturing
- Evaluate vendor privacy and security practices: Assess the vendor’s data privacy and security policies, ensuring they meet or exceed industry standards and regulatory requirements. This can be accomplished by ensuring the vendor has:
- SOC2 certification (this is critical)
- ISO 27001 certification
- Is compliant with regulations such as GDPR and CCPA
- Look at solutions using your own data: GenAI solutions that are based on your own proprietary data – such as Korra’s private SaaS solution AI knowledge base solution – circumvent many if not most of the privacy and security challenges inherent in open solutions.
- Negotiate clear contractual agreements: Include specific clauses in contracts that outline the vendor’s responsibilities for data privacy, security, and compliance with relevant regulations.
- Ensure data ownership and control: Clearly define data ownership and control in agreements, ensuring that your organization retains control over data access and usage.
- Train internal teams: Provide training for internal teams on how to use and manage purchased AI solutions responsibly, focusing on privacy and security.
Korra Announces SOC2 Certification
With manufacturing and industrial organizations requiring the highest levels of accuracy, security, and privacy, Korra’ solution stands out as an effective solution that maximizes all of these critical elements.
It enables industrial and manufacturing organizations to embrace the Industry 4.0 revolution by unleashing the latent power within internal repositories through advanced AI. The platform ingests all content types to provide trustworthy and accurate responses, offering a complete discovery experience: from quick insights to in-depth answers.
And critically, it’s built on a foundation of privacy. Korra is now SOC2 certified, ensuring rigorous standards for data protection and security compliance, giving enterprise manufacturers the assurance needed to trust this GenAI solution.
Conclusion: Secure Korra an Obvious Choice For AI in Manufacturing
Korra checks all the boxes for maximizing value, ROI, privacy and security.
With Korra, those organizations passionate about being leaders in their respective fields in the coming years can utilize the insights gained from the solution to empower employees, identify new opportunities, optimize processes, and lead their industry with forward-thinking solutions.
You can get a feel for the Korra solution on your very own data: get started for free here.