AI disruption assessment

Our Disruption Assessment highlights the ways in which your industry will be transformed in the future. It indicates measures you can take to mitigate the coming disruption, but the primary focus is on the disruption itself. 

If you want specific guidance for adapting AI into your business, our AI Integration consulting program will be useful; it takes a deep dive into your internal processes and recommends specific technologies and tools that can streamline your operations. You can bundle the two—Disruption Assessment and Integration—for increased savings.

AI is already finding many use cases in healthcare. As this trend accelerates, medicine and its delivery will continue to transform. The healthcare of the future may look dramatically different from that of today. Here are just a few of the trends that we are predicting:

1. Personalized medicine: AI will enable highly personalized treatment plans based on individual genetic profiles, lifestyle, and environmental factors. 
2. AI-enhanced patient adherence support: AI-driven platforms will monitor and improve patient adherence to prescribed treatment regimens through personalized reminders, behavioral interventions, and real-time feedback to healthcare providers.
3. Remote AI surgery assistance: AI will assist surgeons remotely, providing real-time guidance and error detection during procedures. This trend will make complex surgeries possible in under-resourced areas.
4. AI in diagnostics: advanced AI algorithms will assist in diagnosing diseases with high accuracy, often surpassing human capabilities. This will be particularly impactful in fields such as radiology, pathology, and dermatology.
5. Supply chain optimization: AI will optimize the healthcare supply chain by predicting demand for medical supplies and medications. Better forecasting will reduce shortages and minimize excess inventory.
6. AI-powered regulatory compliance: AI tools will promote compliance with complex regulations (e.g., HIPAA, GDPR) by continuously monitoring data practices and alerting staff to potential violations.

These changes—and many others not covered here—will have dramatic ramifications for the healthcare industry. If you’re concerned about how your organization can weather the coming wave of artificial intelligence disruption, contact Talbot West for a free consultation.

Artificial intelligence is already transforming the automotive industry, and it will continue to do so. Here are some of the biggest changes:

1. Autonomous driving: AI is the key enabling technology behind self-driving cars. As autonomous driving systems become more sophisticated and reliable, they could fundamentally change the way we think about transportation. This could lead to reduced traffic accidents, increased mobility for elderly and disabled individuals, and the rise of new business models such as autonomous ride-hailing services.
2. Connected vehicles: AI can enable vehicles to communicate with each other and with infrastructure (think traffic lights and road signs). This could optimize traffic flow, reduce congestion, and improve road safety. It could also enable new forms of in-car entertainment and productivity.
3. Predictive maintenance: AI can analyze sensor data from vehicles to predict when maintenance is needed, before a breakdown occurs. This could reduce vehicle downtime, extend the lifespan of vehicles, and lower overall maintenance costs.
4. Generative design: AI can help automate and optimize the design process for vehicles and components.
5. Supply chain optimization: AI can help automakers predict demand, identify potential disruptions, and dynamically adjust production and logistics. 

Read our automotive disruption report to get a handle on the full scope of coming changes.