Evo’s Post

Much like personal computing or the internet, AI (both analytical and generative) is a generational technology that will have profound effects on how businesses will function moving forward. New business models, new collaborations, and new ways of working, demand a new mindset from executives—especially the tech officers (CIOs, CDTOs, …) Leaders must understand that AI’s promise is real, but won’t produce results overnight. It’s a long-term investment that takes enormous legwork, strategy, risk assessment, platform building, and training to build momentum and scale effectively. Lately, I’ve seen many clients struggle with closing the business case for AI - where value will accrue could be different from where investment happens. Having an expansive enterprise-wide mindset and integrative approaches are critically important to achieve real results. Leaders interested in hearing about this technology in a broader context and importance of multi-disciplinary approaches can check out this conversation: https://lnkd.in/eckwfUau A sincere thank you to Sandeep Gupta and the Egon Zehnder team for the opportunity to discuss the evolving role of artificial intelligence. #McKinseyDigital #AI #GenerativeAI #EgonZehnder

AI and machine learning algorithms are increasingly being leveraged to enhance digital identity / Regtech services. AI chatbots are also being used to significantly improve CX. Financial services are becoming more accessible due in part to advancements in AI tech. Investments platforms are also able to offer more frictionless services along with automating a wide range of activities so that services providers can focus on more important product development tasks. While AI is not perfect yet, it is expected to play a much more significant role in the advancement of the digital economy in the foreseeable future. https://lnkd.in/eS2dtbx5

The key to winning lies in understanding and catering to the human experience: ↳ Embrace a customer-centric mindset Deeply understand your customers' needs, pain points, and aspirations. ↳ Build trust and empathy Design your products and services with empathy at the core. ↳ Embrace AI Tech should augment, not replace. Clients value advisors who can understand their unique situations and provide personalized guidance. ↳ Stay agile Embrace innovation and be willing to pivot your strategies to meet evolving consumer demands. Barbara's insights serve as a reminder that amidst the technological advancements shaping our industry, the human touch remains paramount. https://lnkd.in/eETJxAXN

Data and AI hold the potential to revolutionise insurers – helping them to better assess risks, sell their services and scope new opportunities. But if data and AI hold so much potential, what's holding Insurers back? Our latest article sheds light on: 📍The potential of data and AI 📍Action over strategy 📍Creating a data and AI strategy 📍Key questions any data and AI strategy should answer. https://okt.to/vsTzAB

The last mile of AI is to get the organization aligned around creating true and sustainable value with the hard task of change management and implementation. The following article is on point. "To create a robust framework that elevates generative AI from a tool into a strategic enabler that revolutionizes business operations and drives sustainable growth, insurers should build: • A strategy that starts with the C-suite’s vision and acts as the spearhead for all other discussions. The success of any generative AI integration requires senior leadership guidance and buy-in. • The cognitive infrastructure that forms the base technology foundation on which everything else is built. This is a conceptual infrastructure, filled with hybrid cloud technology platforms, security policies, edge computing, and any other purpose-built assets that serve and enable generative AI. • The AI control pane, with measures and mechanisms to ensure ethical, secure, compliant, reliable implementation and operation of generative AI, and a method for tracking its impact. • The data layers of all the structured and unstructured data owned by the organization, mechanisms to transform the data and generative AI models. • The operational functions that serve the functional activities, such as intelligent AI chatbots for customer service. This is where the vision and value of generative AI is executed and realized." https://lnkd.in/gx4AjNsw

How to insure the legal risk of artificial intelligence (AI)? AI is rapidly permeating various economic sectors. From financial services and insurance to life sciences and encompassing industries as diverse as retail, industrials, real estate, media and sports, AI is reshaping traditional paradigms and marking a shift in how enterprises operate and innovate. My DLA Piper colleagues Giacomo Lusardi, Karin Tayel and Andrea Olivieri tackle the legal complexities of the issue in a brilliant article. 💥 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞, Giulio Coraggio for updates and discussions on the topic, and reach out for questions and to know more about our very 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐥𝐞𝐠𝐚𝐥 𝐨𝐟𝐟𝐞𝐫𝐢𝐧𝐠 📍𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 to my newsletter 👉 https://lnkd.in/dpuuYTiz and 𝐣𝐨𝐢𝐧 the AI & IoT Law LinkedIn group 👉 https://lnkd.in/dpuuYTiz 📌 Follow me on📱Telegram https://lnkd.in/deRFEqxF #dlapiper #ai #artificialintelligence #insurance #insurancesector

AI will assist you before it can replace you (Excuse the undue exaggeration please). On a positive note, technology is ready to create co-pilots and semi-automated agents which can do half of your work (and, you can focus on possibly new higher value tasks). Still, NI should also evolve as AI is evolving (Natural Intelligence).

Exciting news! IntellectAI has launched a cutting-edge technology that processes loss runs instantly with over 95% accuracy and zero manual intervention. Our no-touch extraction tool is a game-changer, saving time, cutting costs, and enhancing underwriting. Click on the link to learn more about this innovative solution. #Insurtech #AI #innovation

If you build it, will they come? AI’s transformative power has an unintended consequence of creating high expectations.  In practice, however, only a small percentage of AI-powered solutions for insurance’s unstructured data challenges ever progress into actual production in underwriting and claims operations.  👉Why does this happen, and what can you do to avoid being a statistic?  In our latest article, “Smarter AI: Follow the Money,” AI research, Insurtech investment and machine learning engineering leaders deliver their proven guidance and insights on: 🔍Finding vertical AI tools to dovetail with your existing systems.  🖥️Why you should have solutions pre-trained on insurance data and processes at the top of your list  ⬇️ Ways to reduce friction around compliance and governance to ensure rapid AI adoption.  Click for experts’ views on the best options for maximum ROI from your AI spend. https://lnkd.in/epnG9fVw #AI #Underwriting #Claims #Insurtech #DigitalCoworkers 

The #insurance industry is undergoing radical transformation driven by economic volatility, climate change, and changing customer needs. The adoption of #AI is also accelerating the industry’s digital transformation. But the question remains: how can insurers successfully harness this powerful technology to steer through risks and unlock hidden opportunities? Explore the essential steps: https://lnkd.in/dcbD-ffH