• Simply AI Weekly
  • Posts
  • The Impact of Artificial Intelligence in Business Operations with examples from Rocket Mortgage

The Impact of Artificial Intelligence in Business Operations with examples from Rocket Mortgage

PLUS: Amazon joining the US Artificial Intelligence Safety Institute


Today we discuss how Rocket Mortgage is utilizing AI to improve internal processes

We also highlight new members joining the US Artificial Intelligence Safety Institute

Let’s get to it!


Amazon Joins US Artificial Intelligence Safety Institute to Advance Responsible AI (🔗 link)

To spearhead the responsible advancement and application of artificial intelligence (AI), Amazon has announced its partnership with the U.S. Artificial Intelligence Safety Institute Consortium, spearheaded by the National Institute of Standards and Technology (NIST). This move signifies Amazon’s commitment to the ethical development of AI technologies, focusing on ensuring safety, fairness, and security as foundational elements.

The collaboration is aligned with global efforts to create a regulatory environment that balances risk management with the freedom for innovation and practical technology application. As part of this initiative, Amazon pledged $5 million in compute credits to aid in the creation of assessment tools and methodologies. These resources are aimed at evaluating the safety protocols of foundational AI models, with a particular focus on those encompassing extensive parameters.

The goal is to foster a collaborative environment between government entities and the tech industry to bolster the safety and security measures of AI technologies. Amazon’s involvement exemplifies the company’s broader strategy to invest in the future of ethically grounded AI, contributing to setting international standards that benefit consumers and communities worldwide.

The AI Lawyer (🔗 link)

The introduction of artificial intelligence (AI) into the legal system heralds a transformative era, accompanied by a set of emerging challenges and opportunities. A recent incident, where a lawyer faced sanctions for referencing a fictitious legal case generated by the AI chatbot ChatGPT, underscores the potential pitfalls associated with the integration of AI in legal proceedings.

Despite such challenges, a growing number of law firms are increasingly incorporating generative AI into their operations, leveraging the technology for document summarization, legal research, and more, with the aim of boosting productivity and enhancing client services. Additionally, AI technologies hold the promise of democratizing access to legal assistance, potentially empowering public interest lawyers to extend their services to a broader clientele more efficiently.

This technological evolution raises significant concerns regarding confidentiality, data privacy, and the potential amplification of legal disputes. The legal community is at the cusp of navigating these uncharted waters, exploring the role of AI in redefining legal practices and access to justice.

Adoption of Artificial Intelligence Technologies in Healthcare to Surge (🔗 link)

Projected to experience a meteoric rise, the global computer vision in the healthcare market is set to expand from US$ 2.5 billion in 2024 to an astounding US$ 56.1 billion by 2034, with a compound annual growth rate (CAGR) of 36.7%. This significant growth trajectory is fueled by the increasing adoption of AI and big data technologies within the healthcare sector, aiming to revolutionize early disease detection and the management of chronic conditions.

Government initiatives are crucial in propelling this advancement, fostering an environment that promotes the integration of cutting-edge computer vision technologies in healthcare settings. These initiatives aim to enhance patient care quality, streamline medical processes, and enable the healthcare sector to keep pace with technological advancements. As the demand for sophisticated computer vision systems in healthcare continues to grow, the industry is poised for substantial innovation, poised to redefine how healthcare providers diagnose, manage, and treat a wide array of diseases, heralding a new era in medical care and patient outcomes.


The Impact of Artificial Intelligence on Internal Business Operations

The integration of artificial intelligence (AI) into business operations has proven to significantly enhance efficiency and revenue across various industries. A notable example of this trend is the mortgage lending industry, where companies like Rocket Mortgage have effectively harnessed AI and machine learning technologies to streamline complex processes and improve human engagement in critical tasks.

At the heart of Rocket Mortgage's AI strategy is Pathfinder, a search engine powered by AI and machine learning. This tool demonstrates the capacity of AI to simplify the mortgage process by providing quick and accurate answers to intricate qualification or loan processing questions. Chief Information Officer Brian Woodring emphasizes the transformative impact of AI, stating, "AI and machine learning are not just tools but essential components that redefine the ease and efficiency of the homeownership process."

Rocket Mortgage's AI initiatives have led to significant internal improvements, such as a machine learning framework for natural language processing that increased the efficiency of client query resolutions by 20%. The development of a custom Google AI search further improved these metrics by an additional 9%. Moreover, the introduction of an AI chat interface in Pathfinder resulted in a 69% increase in speed to resolution for client questions, showcasing AI's role in streamlining customer service processes.

The approach taken by Rocket Mortgage offers valuable insights for other businesses looking to leverage AI. Here are some examples of how AI can be integrated across various industries:

  • Personalization: AI can tailor services and products to individual customer needs, improving engagement and conversion rates.

  • Risk Management: AI can identify and assess risks in real-time, enabling businesses in finance, healthcare, and other sectors to make informed decisions quickly.

  • Supply Chain Optimization: AI-driven automation can forecast demand and optimize inventory levels, ensuring product availability while minimizing excess stock.

The use of AI by companies like Rocket highlights the transformative potential of technology not only in the mortgage industry but across all sectors.

That’s a wrap!

We’ll see you again next week. Please send us your thoughts and any ideas you have to improve this content.

If you are implementing AI into your business and would be willing to share your use case with our team, we would love to include you in our newsletter. Please send any examples to the email below.

If you have any questions you can reach out to us at [email protected]


The Simply Augmented Team