Enhancing Body-Worn Camera Technology

A cornerstone of NJII’s collaboration with BCPO is the enhancement of body-worn camera (BWC) technology. As part of a statewide mandate, New Jersey has invested $58 million in BWC technology, with Bergen County receiving $5.1 million to equip over 2,500 officers. NJII is playing a pivotal role in this initiative by integrating AI into BWCs, which aims to manage and prioritize the vast amounts of video footage generated. This integration addresses significant challenges related to digital evidence management, ultimately improving safety and accountability in policing.

AI Integration and Training

Beyond technology enhancement, NJII is dedicated to empowering BCPO personnel through comprehensive training programs. These programs are designed to help officers identify strengths and potential problem areas in their operations, thereby refining overall policing strategies. By evaluating and improving BWC policies and capabilities, NJII ensures that the technology is effectively utilized to enhance law enforcement practices.

Research and Evaluation

The transformative potential of AI in law enforcement is further underscored by ongoing research, such as a study at Arizona State University assessing the impact of AI tools on officer behavior and community interactions. This research highlights the significant role AI can play in fostering positive community relations and improving officer conduct.

Building on a Legacy of Innovation

NJII’s collaboration with BCPO is not an isolated endeavor but rather a continuation of its successful projects, such as the initiative with the Newark Police Department. This partnership reflects NJII’s broader mission to drive technological advancements in critical sectors, ensuring that law enforcement agencies are equipped with the tools necessary for modern policing.

Conclusion

NJII’s initiatives in AI are paving the way for enhanced accountability and efficiency in law enforcement. The collaboration with BCPO exemplifies NJII’s commitment to driving innovation and transforming critical sectors through technology. As NJII continues to lead in AI innovation, it invites other organizations to explore how these cutting-edge solutions can benefit their operations.

For those interested in learning more about how NJII’s innovative solutions can transform your organization, we encourage you to connect with us. Together, we can harness the power of technology to create safer and more efficient communities. Visit [NJII’s website](https://www.njii.com) to explore our initiatives and discover how we can collaborate to drive meaningful change.

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Enhancing Law Enforcement with AI-Integration

NJII’s collaboration with the Bergen County Prosecutor’s Office (BCPO) marks a significant leap forward in law enforcement technology. By integrating AI into body-worn cameras (BWCs), NJII is enhancing the capabilities of law enforcement officers, ensuring greater safety and accountability. With a focus on training, NJII is aiming to assist BCPO in proactively identifying strengths and potential problem areas at the hub, allowing for a trickle-down effect at the local level in a latter phase. This initiative builds on the success of previous projects, such as the one with the Newark Police Department, and addresses the growing need to manage the influx of digital evidence effectively.

With New Jersey mandating the use of BWCs for all officers, a substantial $58 million investment has been made, with Bergen County receiving $5.1 million for over 2,500 cameras. The partnership focuses on evaluating and improving BWC policies and capabilities, utilizing AI to manage and prioritize video footage effectively. A study at Arizona State University is currently assessing the impact of these AI tools on officer behavior and community interactions, highlighting the transformative potential of AI in law enforcement practices.

Transforming Healthcare with Cognome

In the healthcare sector, NJII’s strategic partnership with Cognome is set to revolutionize patient care through advanced AI and machine learning (ML) solutions. This collaboration aims to leverage Cognome’s ethical AI tools alongside NJII’s professional services to enhance clinical intelligence and operational efficiencies.

The partnership focuses on high-value use cases, integrating AI models with electronic health records (EHRs) to provide real-time insights to healthcare providers. Notable AI solutions include a sepsis reduction model with the lowest flag rate in the industry and AutoChart AI, which significantly reduces manual chart abstraction. Additionally, the ExplainerAI platform enhances trustworthiness and transparency in AI models, addressing privacy and compliance needs.

For more information, visit New Jersey Innovation Institute and Cognome Announce Strategic Partnership to Advance Healthcare Solutions.

Conclusion

NJII’s initiatives in AI are paving the way for enhanced accountability in law enforcement and improved patient care in healthcare. The collaborations with the Bergen County Prosecutor’s Office and Cognome exemplify NJII’s commitment to driving innovation and transforming critical sectors through technology.

As NJII continues to lead the charge in AI innovation, we invite you to connect with us to explore how our cutting-edge solutions can benefit your organization. Whether you’re in law enforcement, healthcare, or another industry poised for transformation, NJII is your partner in harnessing the power of AI for a better future. Contact us today to learn more about our initiatives and how we can collaborate to drive meaningful change.

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Enhancing Law Enforcement with AI-Integrated Body Cameras

In collaboration with the Bergen County Prosecutor’s Office (BCPO), NJII’s Artificial Intelligence division is continuing to pioneer advancements in body-worn camera (BWC) technology. This initiative builds on our previous success with the Newark Police Department, aiming to enhance safety, accountability, and manage the massive influx of digital evidence that police departments are generating through AI and machine vision integration. With New Jersey’s mandate for all officers to wear BWCs, a significant investment of $58 million has been made, including $5.1 million allocated to Bergen County for over 2,500 cameras

Our partnership with the Bergen County Prosecutor’s Office focuses on evaluating and improving BWC policies and capabilities. By integrating AI, we aim to address challenges such as reviewing the large amount of body camera video and managing and prioritizing videos. A study at Arizona State University is currently assessing the impact of AI tools on officer behavior and community interactions, highlighting the potential of AI to transform law enforcement practices. [Arnold Ventures, 2024]

Revolutionizing Healthcare Workflows with AI

AI is making significant strides in healthcare, improving operations and patient care across various institutions. At NJII, we are inspired by successful case studies that demonstrate the transformative potential of AI in healthcare:

1. University of Rochester Medical Center: AI-powered ultrasound devices have led to a 116% increase in ultrasound charge capture and a 74% increase in scanning sessions.

2. Valley Medical Center: AI has enhanced observation rates, improving efficiency and job satisfaction among staff.

3. OSF HealthCare: The AI virtual care assistant, Clare, has improved patient navigation and reduced call center traffic.

4. Healthfirst: Collaboration with ClosedLoop has automated data processes, enhancing predictive analytics for patient outcomes.

5. University of Alabama at Birmingham Medicine: AI is used for real-time data monitoring during surgeries, improving patient care. [VKTR, 2024]

These examples underscore AI’s role in reshaping healthcare by optimizing hospital operations, enhancing patient monitoring, and personalizing care. [PMC, 2023]

Ensuring Secure Deployment of Large Language Models

As we integrate AI into critical sectors, ensuring the security of Large Language Models (LLMs) is paramount. NJII is committed to implementing best practices for secure LLM deployment, including:

– Secure Data Collection: Protecting training data from malicious inputs

– Data Verification: Using automated assessments to ensure data integrity

– Federated Learning: Training LLMs on decentralized data to enhance privacy

– API Security: Securing APIs to prevent unauthorized access and attacks

– User Prompt Protection: Implementing data sanitization to prevent prompt injection attacks [Check Point, 2025]

Conclusion

The integration of AI in law enforcement and healthcare is paving the way for enhanced accountability, operational efficiency, and personalized patient care. As these technologies continue to evolve, they have the potential to significantly improve public safety and health outcomes. At NJII, we are dedicated to driving this transformation and invite you to join us on this journey. Connect with us to explore how AI can revolutionize your organization and contribute to a safer, healthier future.

For more information and to collaborate with NJII, visit our website at NJII.com.

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Privacy Risks in AI

As AI technology advances, so do the risks associated with personal data exposure. AI systems often collect and process sensitive information, which can lead to privacy violations if not managed properly. Key risks include the collection of sensitive data without consent, data exfiltration and leakage, and unchecked surveillance and bias. These issues can result in discrimination and wrongful actions based on AI decisions.

Risks in Document Processing

AI document processing can inadvertently lead to data breaches if sensitive information is mishandled. A notable example is the data breach at TaskRabbit, where personal information of millions was exposed due to inadequate security measures. To mitigate such risks, organizations should implement strong encryption, access controls, and conduct regular audits of AI systems to ensure compliance with data privacy regulations.

Risks of Sharing Personal Health Information on Public Platforms

The sharing of patient information on public platforms, such as social media, can compromise privacy and violate regulations like HIPAA. Unauthorized disclosures can lead to potential legal repercussions, emphasizing the need for healthcare professionals to avoid sharing any identifiable health information without explicit patient consent. The General Data Protection Regulation (GDPR) further underscores the importance of consent and anonymization when sharing patient data, with violations leading to significant fines and reputational damage.

Confidentiality Concerns with AI Chatbots and Personal Data

AI chatbots, often used to handle sensitive personal information, raise concerns about unauthorized access and data breaches. A survey revealed that 73% of consumers worry about their data privacy when interacting with chatbots. Key privacy concerns include unauthorized access to user data, data misuse for profiling without consent, and challenges in regulatory compliance with laws like GDPR and CCPA. Organizations should implement strong data protection measures, including encryption, secure transmission protocols, and robust access controls to safeguard sensitive information.

Regulations on Handling Personal Financial Information with AI

The Personal Financial Data Rights rule requires banks to make consumer data available, enhancing competition but also posing risks if not managed properly. Banks must leverage AI responsibly to ensure compliance with data protection regulations while enhancing customer service and risk assessment.

Conclusion

The use of public platforms and AI for processing sensitive information poses significant risks, including privacy violations, data breaches, and legal repercussions. Organizations must implement robust data protection strategies and adhere to regulatory requirements to safeguard personal information effectively.

At NJII, we understand the complexities and challenges of managing sensitive information in the digital age. Our team of experts is dedicated to helping organizations navigate these challenges by providing tailored solutions that ensure compliance and protect privacy. Connect with us today to learn how we can help you safeguard your sensitive data and maintain the trust of your clients.

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The Transformative Potential of AI in Healthcare 

AI is fundamentally reshaping healthcare by addressing key challenges such as improving population health, enhancing patient experience, and reducing costs. According to a study published in the Journal of Medical Internet Research, AI’s integration into healthcare systems can leverage real-world data to improve care delivery, especially in the face of workforce shortages and rising healthcare demands. By enhancing Clinical Information Systems (CIS), AI enables better data analysis and knowledge extraction, leading to improved patient outcomes and operational performance (PMC6697548).

Understanding Chart Abstraction 

Chart abstraction involves the systematic extraction of structured and unstructured data from medical records. This process is crucial for quality reporting, clinical research, and regulatory compliance. Despite the vast amount of clinical data generated, a significant portion remains unused, underscoring the need for effective abstraction methods. Automating chart abstraction can significantly reduce the time and resources required for data entry and improve data accuracy (Q-Centrix). 

NJII’s Role in Automating Chart Abstraction 

NJII’s Healthcare Innovation Solutions (HCIS) is dedicated to improving healthcare quality and performance through AI and machine learning solutions. They provide consulting services to help healthcare providers navigate complex regulatory environments (NJII). NJII has developed specialized solutions for regulatory submissions, including MIPS and QIP-NJ, designed to optimize reporting and compliance. 

Introducing AutoChart AI 

AutoChart AI is a cutting-edge solution developed by Cognome in offered in partnership with NJII’s Healthcare Innovation Solutions to revolutionize the process of patient chart abstraction in healthcare systems. This innovative tool leverages advanced artificial intelligence and machine learning models to automate the extraction of structured and unstructured data from medical records, significantly reducing the manual effort involved in chart abstraction by over 90% (NJII). 

The strategic partnership between NJII and Cognome aims to enhance patient care and operational efficiency by integrating AutoChart AI seamlessly with Electronic Health Records (EHRs). This integration provides real-time insights to healthcare providers, improving clinical decision-making and patient management (NJIT News). 

AutoChart AI is part of a broader initiative to implement ethical and responsible AI tools in healthcare, aligning with frameworks from the National Institutes of Health (NIH) and the National Institute of Standards and Technology (NIST) for governance, bias reduction, and compliance. This focus on ethical AI ensures that the technology is trustworthy and transparent, which is crucial for clinician adoption (Slice of Healthcare). 

By automating chart abstraction, AutoChart AI not only alleviates the administrative burden on clinicians but also enhances the accuracy and efficiency of data submissions for programs like QIP-NJ and CMS’s TEAM model. This results in significant return on investment through operational efficiencies and improved patient outcomes (NJII). 

Conclusion 

The integration of AI in healthcare IT, particularly through the automation of chart abstraction, is set to revolutionize the industry. NJII’s initiatives exemplify how technology can streamline processes, improve data utilization, and ultimately enhance patient care. As healthcare continues to evolve, embracing AI-driven solutions like those offered by NJII will be crucial for providers aiming to stay ahead in a competitive landscape. 

To learn more about how NJII’s innovative solutions can transform your healthcare operations, improve compliance, and enhance patient care, we invite you to connect with us. Visit NJII’s Healthcare AI Solutions to explore our offerings and discover how we can help you navigate the future of healthcare IT. 

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The Challenge with ASA-PS

Established in 1941, the ASA-PS classification system is a vital tool used by anesthesiologists to evaluate a patient’s pre-anesthesia medical comorbidities. However, its reliance on subjective human judgment can lead to variability in assessments among healthcare professionals, resulting in inconsistent patient classifications. This inconsistency can negatively impact healthcare resource allocation and preoperative planning, potentially leading to unnecessary testing, delays, or cancellations on the day of surgery.

Given these challenges, there is a clear need for a more reliable method to assign ASA-PS classifications, which can enhance the accuracy and effectiveness of perioperative risk management.

The Solution: Machine Learning Model

Cognome has developed a machine learning physical status model that utilizes preoperative data to improve the early identification of high-risk patients. This approach standardizes preoperative evaluations, ultimately aiming to enhance outcomes for patients undergoing ambulatory surgery.

The model was created using a supervised random forest algorithm with 35 preoperatively available variables, demonstrating strong predictive ability for 30-day mortality, postoperative ICU admission, and adverse discharge. The ML-PS model can be automatically extracted from electronic health records (EHR), allowing for a more streamlined and standardized preoperative evaluation process.

Enhancing the Patient Experience

In healthcare, “The Patient Experience” encompasses all interactions a patient has with the healthcare system, from initial contact through treatment and follow-up care. By improving the accuracy of surgical risk assessments, the Cognome model directly contributes to a better patient experience.

When patients receive more accurate risk classifications, they can engage in informed discussions with their healthcare providers about their treatment options. This transparency fosters trust and can lead to higher satisfaction levels, as patients feel more involved in their care decisions. Moreover, minimizing unnecessary tests and delays can alleviate anxiety and enhance overall satisfaction with the surgical process.

Promising Outcomes

Results from a comprehensive study demonstrate the effectiveness of the ML-PS model. The agreement between the anesthesiologist-assigned ASA-PS and the machine learning model was found to be 57.2%. Notably, the ML-PS model more frequently categorized patients into extreme ASA-PS categories (I and IV), while assigning fewer patients to the intermediate categories (II and III) – a difference that was statistically significant (p<0.01).

Both classification systems showed strong predictive values for 30-day mortality, as well as good predictive capabilities for postoperative ICU admissions and adverse discharges. Among 3,594 patients who experienced mortality within 30 days post-surgery, the ML-PS model reclassified 35.6% into a higher risk category compared to the anesthesiologists’ assessments. For patients with multiple comorbidities, the traditional ASA-PS classification had better predictive accuracy.

Focus on Perioperative Care

This partnership between NJII and Cognome aims to enhance the perioperative service line, benefiting healthcare providers and patients. By integrating Cognome’s machine learning models into clinical practice, health providers can expect improved accuracy in patient assessments and better resource allocation.

NJII is committed to driving innovation in healthcare by adopting advanced technologies that improve patient care. The collaboration with Cognome represents a significant step toward enhancing surgical readiness, patient safety, and the overall patient experience in the healthcare sector.

For more detailed outcomes, you can refer to the published study on ScienceDirect: Development and validation of a machine learning ASA-score.

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Generative AI Use Cases Across Industries

Retail & Consumer Goods

In the retail sector, companies are harnessing AI to enhance customer service and engagement. Best Buy has introduced a generative AI-powered virtual assistant that helps troubleshoot product issues and manage subscriptions, significantly improving customer service. Similarly, Carrefour Taiwan has developed an AI Sommelier to recommend wines based on customer preferences, seamlessly integrating online and offline shopping experiences. Meanwhile, Etsy utilizes AI to optimize search recommendations and ads, boosting seller visibility and enhancing the customer experience (Google Cloud).

Healthcare

The healthcare industry is also witnessing the benefits of generative AI. Mass General Brigham has piloted a tool that assists physicians in responding to patient messages, thereby improving communication efficiency. Bennie Health uses AI to streamline employee health benefits management, aiding HR teams in making informed decisions (Data Axle).

Automotive

In the automotive sector, companies like Volkswagen and General Motors are enhancing user experiences with AI. Volkswagen’s virtual assistant in the myVW app helps drivers with vehicle queries, while General Motors has upgraded its OnStar services with AI features to improve customer interaction (Google Cloud).

Innovative Applications of Generative AI

Beyond traditional applications, companies are exploring innovative uses of generative AI. Wayfair has launched Decorify, an AI tool that offers design suggestions based on user-uploaded images, enhancing customer engagement. Coca-Cola has creatively used AI to develop a limited-edition drink based on customer feedback, merging marketing with product development. Salesforce has introduced Einstein GPT to automate email generation and customer service tasks, boosting productivity across departments (Data Axle).

Benefits of Generative AI in the Workplace

The integration of generative AI in the workplace offers numerous benefits:

• Enhanced Productivity: By automating repetitive tasks, employees can focus on more complex and creative work, leading to higher job satisfaction and innovation (Microsoft Blog).
• Cost Savings: AI reduces operational costs by minimizing manual labor and optimizing resource allocation (Numerous.ai).
• Improved Customer Engagement: AI tools provide personalized experiences, enhancing customer satisfaction and loyalty (Microsoft Blog).

Challenges and Considerations

Despite its benefits, the integration of AI comes with challenges. Employee concerns about job displacement need to be addressed by highlighting AI’s role in complementing human capabilities. Ethical considerations, such as bias in AI outputs and the need for transparency, are also critical (SAS).

The Future of Generative AI in Business

The potential of generative AI is immense, with estimates suggesting it could add $2.6 to $4.4 trillion annually to the global economy. Significant impacts are expected in marketing, customer operations, and R&D. As AI transforms job roles, there will be a growing need for upskilling in areas like AI management and data analysis (SAS).

Conclusion

Generative AI is revolutionizing the workplace by enhancing productivity, improving customer engagement, and driving innovation across various industries. Companies that effectively integrate AI into their operations can expect significant benefits, but they must also address ethical concerns and employee fears to ensure a smooth transition.

As generative AI continues to shape the future of work, staying informed and prepared is crucial. Connect with NJII to explore how your organization can leverage AI to drive innovation and efficiency for your organization. Visit NJII.com to learn more about our AI solutions and services.

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Pioneering AI Solutions for Businesses

The NJII AI/ML Division offers a comprehensive suite of services designed to facilitate the integration of AI into business operations. These include: 

AI Implementation and Integration: Our team assists businesses in deploying AI solutions such as chatbots, predictive analytics, and computer vision technologies. This allows businesses to automate routine tasks, gain insights from data, and enhance customer interactions. 

AI Consulting and Strategy Development: We help organizations identify opportunities for AI adoption and develop tailored strategies to maximize the impact of these technologies. This service ensures that businesses can effectively align AI solutions with their strategic objectives. 

Custom Model Training and Development: NJII provides services to build or fine-tune AI models that address specific business needs. Whether it’s personalizing customer interactions or optimizing supply chain operations, our custom models provide the precision and adaptability required for success. 

Training and Certification: In collaboration with NJII’s Professional and Corporate Education division, the AI/ML Division offers courses and micro-credentials to upskill staff. This empowers employees with the knowledge and skills necessary to harness AI tools effectively within their roles. 

Commitment to Innovation and Community

The mission of the NJII AI/ML Division is to foster a vibrant ecosystem for AI innovation in New Jersey. By partnering with the New Jersey Institute of Technology (NJIT), we leverage high-performance computing facilities and the expertise of renowned research faculty. This collaboration not only supports local businesses but also provides valuable internship opportunities for students, particularly in real-world AI projects. 

Real-World Impact: Enhancing Public Safety 

A notable example of the division’s impact is our collaboration with the Bergen County Prosecutor’s Office. Here, NJII is developing AI systems for the automatic review of body-worn camera footage. This project exemplifies our commitment to applying AI technologies to enhance public safety and operational efficiency in law enforcement. By automating the review process, the project aims to expedite investigations and improve the accuracy of evidence analysis, showcasing the tangible benefits of AI in critical public service sectors. 

Building a Smarter Future 

The NJII AI/ML Division is poised to transform the New Jersey business landscape by providing essential AI services and fostering innovation. Our comprehensive offerings not only help businesses modernize their operations but also prepare the next generation of AI professionals. As we continue to expand our capabilities, we invite businesses to join us on this journey toward a smarter, more efficient future. 

Connect with Us 

Are you ready to explore the potential of AI for your business? Connect with NJII today to discover how our AI/ML Division can help you achieve operational excellence and drive innovation. Visit our website here for more information or to schedule a consultation. Together, let’s harness the power of AI to unlock new opportunities for growth and success. 

By embracing the capabilities of AI, businesses can not only keep pace with technological advancements but also position themselves as leaders in their industries. The NJII AI/ML Division is here to guide you through this transformative journey. 

NJII AI/ML | Artificial Intelligence and Machine Learning 

NJII offers expert services to meet you AI needs.  AI-powered tools and technology can be a competitive asset for your company’s growth objectives.  

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Under the leadership of Tom Villani, Ph.D., VP of AI/ML, the division aims to empower organizations—particularly small businesses—to integrate AI solutions that drive innovation and enhance operational efficiency. We are currently seeking candidates for our competitive AI internship opportunities for 2025, providing students with invaluable hands-on experience in real-world AI projects.

In addition to these internship opportunities, the AI division is actively partnered with several startups and large companies to conduct cutting-edge AI research. Through these collaborations, we aim to push the boundaries of what is possible with AI and deliver impactful solutions across various sectors.

We are also excited to continue our collaboration with the Bergen County Prosecutor’s Office, where we are developing AI systems for the automatic review of body-worn camera footage. This project exemplifies our commitment to applying advanced AI technologies to improve public safety and operational effectiveness in law enforcement.

By leveraging NJIT’s extensive resources and fostering partnerships, we aim to create a vibrant ecosystem for AI innovation in New Jersey. For more information about our AI services and to learn how we can assist your organization, please visit our AI overview page.

Join us in celebrating this significant milestone and the exciting opportunities that lie ahead as we drive AI innovation across New Jersey!

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“With the rapid progress in AI tools, many businesses, especially small ones, struggle to understand how to apply AI to improve efficiency and solve problems, “said Tom Villani who leads the new division. “Our mission is to provide expert guidance and services to help organizations seamlessly integrate AI solutions into their operations and stay ahead of the competition.” The division will operate a public facing “AI Job Shop,” working closely with businesses to develop tailored AI solutions that address specific operational challenges. This approach allows organizations to leverage the latest AI technologies without requiring in-house expertise or extensive resources.

NJII partners with NJIT’s world-class resources, including its high-performance computing facilities and renowned research faculty, to deliver cutting-edge AI solutions. Through its unique relationship with NJIT, the division provides valuable internship opportunities for students, particularly international students who may face limitations in traditional internship programs. These hands-on experiences allow students to work on real-world AI projects while helping New Jersey businesses innovate. “By combining NJIT’s academic excellence, research expertise, and advanced computing infrastructure with NJII’s industry connections, we’re creating a powerful ecosystem for AI innovation in New Jersey,” added NJII President, Michael Johnson “Our students work alongside experienced professionals and world-class researchers, gaining invaluable experience while helping to solve real business challenges. Our goal is to make New Jersey a leader in practical AI implementation while providing exceptional learning opportunities for the next generation of AI professionals.” The AI division stems from the success of its previously-launched AI Lab, which has already seen success in collaborating with clients across New Jersey in sectors such as health care and law enforcement to help reduce costs and improve efficiency. Organizations interested in learning more about NJII’s AI services can visit https://www.njii.com/ai-ml-overview/.

About NJII

The New Jersey Innovation Institute (NJII) is a nonprofit corporation wholly owned by New Jersey Institute of Technology (NJIT). NJII applies the intellectual and technological resources of the state’s science and technology university to challenges identified by industry and government partners. Through its innovation labs, NJII brings NJIT expertise to key economic sectors, including artificial intelligence, healthcare, defense, entrepreneurship, and learning & development. NJII has generated over $330M in revenue since 2014 and employs 110+ full time staff.

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