Understanding the profound influence of partnerships and research in advancing artificial intelligence (AI) is essential, especially when addressing practical use cases. A prime example is the expanded partnership between DXC Technology and ServiceNow, which has led to the creation of a new Center of Excellence. This initiative combines DXC's industry insights and implementation capabilities with ServiceNow’s advanced generative AI solutions, including the Now Assist tool. The center focuses on accelerating the adoption of AI technologies, delivering impactful AI use cases at scale.
This partnership has driven significant enhancements in IT operations and customer experiences. For instance, integrating Now Assist into DXC’s service platform has revolutionized their incident management process, saving approximately 10,000 hours each month for over 500 clients. This demonstrates AI's ability to not only automate tasks but also create substantial efficiency gains.
Another notable development is the use of AI by researchers at the Institute for Systems Biology, in collaboration with Providence, to extract social determinants of health from electronic health records. Employing large language models like GPT-4 and GPT-3.5, the study has effectively used algorithms to detect patterns of housing instability among pregnant women through clinical notes. GPT-4, in particular, has shown superior recall in identifying instances of housing instability compared to humans, although humans still excel in precision and in sourcing corroborative evidence from the notes. This highlights the nuanced roles AI can play in healthcare, despite challenges such as the use of de-identified data which can obscure vital information, impacting AI's accuracy.
Turning to cybersecurity, a groundbreaking development from USX Cyber in AI-powered cyber defense showcases the Guided Mitigation feature of their GUARDIENT™ XDR platform. This AI-driven feature provides automated step-by-step guidance for security analysts, significantly cutting down the time needed to resolve incidents and improving response accuracy. The feature leverages the MITRE ATT&CK framework to deliver tailored recommendations for specific threats, enhancing the capability of even novice analysts to handle high-priority threats effectively.
In the realm of AI investment and adoption, Lightning AI’s recent achievements are noteworthy. The developer of the PyTorch Lightning open AI framework secured a $50 million equity investment from major entities like Cisco Investments and Nvidia, bringing their total funding to $103 million. This reflects growing confidence in versatile, scalable AI platforms. Lightning AI has simplified AI development by integrating various tools into a single multi-cloud platform that supports comprehensive, low-, and no-code solutions for model training and deployment. This not only democratizes access to AI but also eases the burdens of maintaining complex AI infrastructures.
These developments underline the diverse and rapidly evolving landscape of AI applications, from enhancing business efficiency to advancing medical research and cybersecurity. The impact of AI is extensive and profound, reshaping industries and enhancing lives. As we continue to explore these innovations, understanding their practical uses and limitations is crucial to fully leveraging their potential.
Links:
DXC and ServiceNow Team to Launch AI ‘Center of Excellence’
New research highlights AI's potential and pitfalls in scouring health data
USX Cyber Launches AI-Powered Guided Mitigation in GUARDIENT XDR to Simplify High-Stakes Incident Response
Lightning AI Raises $50 Million for PyTorch Artificial Intelligence Framework
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