Generative AI for Improving Operations

Using Generative AI to Assist Emergency Managers in Data Collection: With this prototype, we will explore how generative AI can be used to assist emergency managers in data collection and entry, and how it can support disaster response efforts. Emergency managers have a huge responsibility when disaster strikes. One of their primary tasks is to collect and analyze data from the disaster area to determine the extent of damage, prioritize rescue efforts, and make informed decisions. However, the process of data collection and entry can be daunting and time-consuming, especially when done manually. This is where generative AI comes in. GeoTalk essential elements of information (EEI) extractor prototype being developed by Kant Consulting Group, LLC. The prototype uses multiple technologies like generative AI (ChatGPT), LangChain to extract EEI data communications, ask follow up questions and enter the data into Esri Esri ArcGIS Online layer. This provides a valuable resource for emergency managers to use when analyzing disaster situations and making informed decisions. Generative AI is a relatively new field of AI technology that involves creating algorithms that can generate content, such as text or images, based on given parameters. While generative AI is often associated with creative writing, it can also be used in data collection and entry. Emergency managers can take advantage of this technology by using it to input field notes, analyze situation reports, and input data into geographic information systems (GIS). One of the main advantages of using generative AI is its ability to analyze and interpret data at scale. Unlike traditional methods that require emergency managers to manually input data into an incident management system, generative AI can automatically analyze and extract data from a variety of sources, which saves time and makes data entry more efficient. This means that emergency managers can focus on other critical tasks related to disaster response. Moreover, generative AI can help identify inconsistencies and errors in collected data. The algorithms can flag inconsistencies and errors, allowing emergency managers to correct and revise the data as needed. This can lead to more accurate and reliable decision-making by emergency managers. Overall, the integration of generative AI in the field of emergency management is an exciting new development that holds tremendous promise. By utilizing AI technology for data collection and entry, emergency managers will be able to operate more efficiently, make higher quality decisions, and ultimately save more lives. While this is only the beginning of what is possible, we can certainly be excited about the future possibilities for AI technology in disaster response efforts. If you are an emergency manager interested in contributing to the development of this technology, don't hesitate to reach out.

The Office of the Governor of California published the report "Benefits and Risks of Generative Artificial Intelligence Report" outlining the potential benefits and #risks that generative #AI could bring to the state's government. While this report was a requirement under California's Executive Order N-12-23, the findings could be applied to any other state, government, or organization using #generativeAI. The report starts providing a comparison between conventional #artificialintelligence and generative AI. Then, it lists six major case uses for the #technology: 1. Improve the performance, capacity, and efficiency of ongoing work, research, and analysis through summarization and classification. By analyzing hundreds of millions of data points simultaneously, GenAI can create comprehensive summaries of any collection of artifacts and also categorize and classify information by topic, format, tone, or theme. 2. Facilitate the design of services and products to improve access to people’s diverse needs, across geography and demography. #GenAI can recommend ways to display complex information in a way that resonates best with various audiences or highlight information from multiple sources that is relevant to an individual person. 3. Improve communications in multiple languages and formats to be more accessible to and inclusive of all residents. 4. Improve operations by optimizing software coding and explaining and categorizing unfamiliar code. 5. Find insights and predict key outcomes in complex datasets to empower and support decision-makers. 6. Optimize resource allocation, maximizing energy efficiency and demand flexibility, and promoting environmentally sustainable policies. The report then considers the #risks presented by #generative AI, including: - AI systems could be inaccurate, unreliable, or create misleading or false information. - New GenAI models trained on self-generated, synthetic #data, could negatively impact model performance through training feedback loops. - Input prompts could push the GenAI model to recommend hazardous decisions (#disinformation, #cybersecurity, warfare, promoting violence or racism). - GenAI tools may also be used by bad actors to access information or attack #systems. - As models are increasingly able to learn and apply human psychology, models could be used to create outputs to influence human beliefs, manipulate people's behaviours, or spread #disinformation. - Governance concerns with open-source AI models third-parties that could host models without transparent safety guardrails. - Difficulty in auditing large volumes of training data for the models and tracing the original citation sources for references within the generated content. - Uncertainty over liability for harmful or misleading content generated by the AI. - Complexity and opaqueness of AI model architectures. - The output of GenAI does not reflect social or cultural nuances of subsets of the population.

https://lnkd.in/gxt7rNd7 Generative AI: Revolutionizing Government Operations I'm excited to share how Generative AI is not just a technological advancement but a transformational force in government. Our latest Deloitte Insights article delves into this groundbreaking era: AI in Emergency Management: In my co-authored section, discover how AI, particularly generative AI, is a game changer in emergency management, providing personalized care on a massive scale. Making Government More Efficient: Generative AI is reshaping how government functions, bringing efficiency and effectiveness across various sectors. Transforming Government Procurement: By combining its analytical strength with human insight, generative AI is revolutionizing procurement processes, making them more efficient and service-oriented. Enhancing Human Services Delivery: Generative AI's potential in human services is immense. It's accelerating and equalizing service delivery, ensuring quick and fair access to those in need. This is more than innovation; it's a new chapter in public sector efficiency and effectiveness. Generative AI's role in procurement, human services, and emergency management marks a significant leap forward. #GenerativeAI #GovernmentInnovation #PublicSector #EmergencyManagement Deloitte Government & Public Services Deloitte Insights

Generative AI is fueling transformation in every industry and sector, and government is no exception. For federal agencies, GenAI holds massive potential – from improving operations and workflow by expediting document review and content creation to supporting research and mission-critical decision making with enhanced search and data capabilities. At the heart of this AI revolution is the need to balance innovation with risk management – particularly in highly sensitive environments such as federal agencies. As AI capabilities rapidly accelerate and we continue to explore new government applications for this technology, secure, ethical, and transparent deployment is crucial to ensuring that GenAI not only benefits agencies, but also the public they serve. Generative AI is fundamentally about people – helping federal employees streamline tasks and augment their expertise, securing digital environments, sensitive data, and critical infrastructure, and creating more efficient, trustworthy government services for our citizens. Check out our Federal AI Playbook to learn more about government use cases and how agencies can leverage GenAI effectively, securely, and responsibly.  #GenAI #GovTech #ResponsibleAI 

Dr. Saju Skaria's Weekly Reflections: 31/2023 How to Capitalize on Generative AI – A Digitech Point of View! “Calling generative AI revolutionary is no hyperbole. Business leaders should view it as a general-purpose technology akin to electricity, the steam engine, and the internet.” – Harvard Business Review. I have become a serious student of AI and Generative AI. As I mentioned in my last post, the book "Impromptu: Amplifying Our Humanity Through AI" written by Reid Hoffman with GPT-4, offers readers a travelog of the future - exploring how AI, and especially Large Language Models like GPT-4, can elevate humanity across critical areas like education, business, and creativity. Digitech, a trailblazer in the tech industry in the making, recognizes the transformative potential of Generative AI and is strategically positioned to capitalize on this cutting-edge technology. Our commitment to innovation is underscored by integrating Generative AI into our product development, offering unprecedented opportunities for creativity and efficiency. Digitech aims to revolutionize the design and development process by harnessing the power of Generative AI. By leveraging advanced algorithms and machine learning, we empower our teams to prototype and iterate rapidly, reducing time-to-market and enhancing product quality. Moreover, Generative AI opens new frontiers for personalized user experiences. Digitech is investing in creating AI-driven interfaces that adapt to individual preferences, enhancing customer satisfaction and engagement. Through predictive analytics and intelligent content generation, we strive to offer dynamic, tailored experiences that resonate with the diverse needs of our user base. In addition to enhancing product development and user experiences, Digitech recognizes the potential of Generative AI in optimizing operational efficiency. We are implementing AI-driven automation in our business processes, from supply chain management to customer support. This streamlines operations and allows workforce to focus on higher-value tasks, driving productivity. Digitech is committed to ethical and responsible use as we capitalize on the transformative capabilities of Generative AI. We prioritize transparency, accountability, and user privacy, ensuring that our AI applications align with our values and contribute positively to the digital landscape. By embracing Generative AI, Digitech is poised to stay at the forefront of technological innovation and redefine the possibilities within the tech industry, setting new standards for efficiency, creativity, and customer-centricity. Potential partners and collaborators can reach Digitech at info@digitechserve.com I welcome your comments and feedback. #generatieveai Bharat Amin, NACD.DC ML Kabir Ashish Saxena Krishnan CA Dr. Swati Karve, PhD Psychology Randhir Mazumdar-ICF Alexey Gerasimov Simon Raju Pirangi Digitech Services Inc Shiny Skaria Balaji V S. Laxmikant Mishra