Industries That Gain From AI Insights

Data without intelligence is potential; intelligence without action is waste. Databricks' 𝟐𝟎𝟐𝟒 𝐒𝐭𝐚𝐭𝐞 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐀𝐈 𝐑𝐞𝐩𝐨𝐫𝐭 showcases a decisive shift as industries transition from AI experimentation to widespread production, with manufacturing emerging as a standout sector. Companies are leveraging AI to optimize production, enhance quality control, and integrate operational data into decision-making processes. Key takeaways from the report include: • 𝟏𝟏𝐱 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 in machine learning models reaching production, indicating industries are prioritizing real-world AI applications. • 𝟏𝟒𝟖% 𝐲𝐞𝐚𝐫-𝐨𝐯𝐞𝐫-𝐲𝐞𝐚𝐫 𝐠𝐫𝐨𝐰𝐭𝐡 in natural language processing (NLP) use in manufacturing, driving improvements in quality control and customer feedback analysis. • 𝟑𝟕𝟕% 𝐠𝐫𝐨𝐰𝐭𝐡 in vector database adoption, supporting retrieval augmented generation (RAG) to integrate proprietary data for tailored AI applications. • Manufacturing and Automotive lead the charge with a staggering 𝟏𝟒𝟖% 𝐲𝐞𝐚𝐫-𝐨𝐯𝐞𝐫-𝐲𝐞𝐚𝐫 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 in adopting Natural Language Processing (NLP).  Would anyone have picked Manufacturing growing the fastest in NLP?!?! 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐃𝐨 𝐰𝐢𝐭𝐡 𝐓𝐡𝐢𝐬 𝐈𝐧𝐟𝐨? If you’re still debating AI’s value, you’re already late to the game. Manufacturers are moving from “what if” to “what’s next” by putting more AI models into production than ever before — 𝟏𝟏 𝐭𝐢𝐦𝐞𝐬 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐥𝐚𝐬𝐭 𝐲𝐞𝐚𝐫!  The most successful organizations are cutting inefficiencies, standardizing processes with tools like data intelligence platforms, and deploying solutions faster. This isn’t just about keeping up with the Joneses; it’s about outpacing them entirely. 𝟏) 𝐈𝐧𝐯𝐞𝐬𝐭 𝐢𝐧 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Use tools like Retrieval Augmented Generation (RAG) and vector databases to turn AI into a competitive advantage by integrating your proprietary data. Don’t rely on off-the-shelf solutions that lack your industry’s nuance. 𝟐) 𝐀𝐝𝐨𝐩𝐭 𝐚 𝐂𝐮𝐥𝐭𝐮𝐫𝐞 𝐨𝐟 𝐒𝐩𝐞𝐞𝐝: The report highlights a 3x efficiency boost in getting models to production. Speed matters — not just for innovation, but for staying ahead of market demands. 𝟑) 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐚𝐧𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧:  The rise of open-source tools means you can innovate faster without vendor lock-in. Build smarter, more cost-effective systems that fit your needs. 𝟒) 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐆𝐚𝐢𝐧𝐬: AI isn’t just for customer-facing solutions. Use it to supercharge processes like real-time equipment monitoring, predictive maintenance, and supply chain resilience. 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/eZCrq_nF ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

I've had over 500 AI agency sales calls and here's what businesses actually want. (Spoiler: It's not simple chatbots or voice agents although they do sell) While everyone's building weekend ChatGPT wrappers, businesses are quietly paying $15,000+ for completely different AI solutions. After generating six figures in AI service revenue, I've discovered exactly what companies are willing to pay premium prices for. The reality check: A $2M ARR SaaS company told me they'd rather pay $20,000 for a solution that increases revenue by $50,000 monthly than pay $2,000 for a chatbot that saves 5 hours per week. (who would've thought.. 😂) That conversation changed everything about how I approach AI services. What businesses actually pay premium prices for: Sales Automation Systems - Intelligent prospect identification across multiple data sources - Automated research and enrichment for each lead - Multi-channel outreach orchestration (email, LinkedIn, phone) - Dynamic nurturing sequences that adapt to prospect behavior - Lead scoring that prioritizes highest-value opportunities Content Creation Engines - Automated market research and competitor analysis - Multi-format content generation across all platforms - Advanced SEO optimization and ranking strategies - Brand voice consistency across all channels - Performance tracking and optimization Operational Workflow Solutions - Complete client onboarding automation - Document processing and compliance monitoring - Intelligent customer support with escalation protocols - Quality control and audit trail systems - Project management and resource optimization Data Processing & Analytics - Multi-system data integration and business intelligence - Predictive modeling for forecasting and optimization - Real-time performance optimization - Competitive intelligence gathering - Custom executive dashboards The industries reaching out most: - Professional services (agencies, consulting, law, accounting) - E-commerce and retail ($500K-$10M annual revenue) - Manufacturing and distribution - Healthcare and compliance-heavy businesses Why these command premium pricing: They solve expensive problems that directly impact revenue, provide strategic advantages competitors can't replicate, and generate measurable ROI that far exceeds investment. Stop building tools and start solving business problems. When you can demonstrate $200K in additional revenue or $150K in cost savings, charging $25K becomes an easy decision. 👉 Want the complete breakdown of high-value AI solutions? 1. Connect with me 2. Comment "SOLUTIONS" I'll send you the detailed analysis. (Must be connected - prioritizing reposts first!)

𝐀𝐈 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠: 𝐖𝐡𝐚𝐭'𝐬 𝐍𝐞𝐰?  In today's rapidly evolving manufacturing landscape, AI and automation are at the forefront of transformative change. Recent studies highlight the increasing adoption of AI technologies within the industry, underscoring both opportunities and challenges. 👉𝐀𝐈 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 • AI is transforming the sector, with investment in generative AI expected to spike, adding $4.4 billion in revenue from 2026 to 2029 • 70% of manufacturers now use generative AI for discrete processes, particularly in computer-aided design (CAD), significantly boosting productivity • AI-powered predictive maintenance is reducing downtime, with companies like Pepsi and Colgate leveraging this technology to detect machinery problems early 👉𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬 • Collaborative robots (cobots) are gaining traction, with BMW and Ford utilizing them for tasks like welding and quality control • Amazon has deployed over 750,000 robots in its fulfillment centers, including the new Sequoia system that processes orders up to 25% faster • AI-driven "smart manufacturing" enables more precise process design and problem diagnosis through digital twin technology 👉𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 • AI is enabling "lights-out" factories, where production can continue 24/7 with minimal human intervention • Machine learning models are optimizing supply chains, enhancing resilience to volatility • AI-powered quality control systems are improving product consistency and reducing defects 👉𝐊𝐞𝐲 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 • The global AI in manufacturing market is projected to reach $20.5 billion by 2029 • 85% of manufacturers have invested or plan to invest in AI/ML for robotics this year • Manufacturers using AI report a 69% increase in efficiency and 61% improvement in productivity 👉𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐢𝐧 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐀𝐈 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 • Talent Gap: There's a shortage of experienced data scientists and AI engineers in the manufacturing sector • Data Quality and Privacy: Ensuring clean, accurate, and unbiased data while maintaining privacy and security is crucial • Technology Infrastructure: Integrating AI with legacy systems and ensuring interoperability between different technologies can be complex • Cultural Resistance: Overcoming employee concerns about job security and adapting to new AI-driven processes can be challenging • Ethical Considerations: Ensuring fairness, transparency, and accountability in AI decision-making processes is essential As AI and automation continue to evolve, they're reshaping the manufacturing landscape. How is your company leveraging these technologies to stay competitive? 𝐒𝐨𝐮𝐫𝐜𝐞𝐬: https://lnkd.in/ge3TGArE https://lnkd.in/gc276FhK #AI #DigitalTransformation #GenerativeAI #GenAI #Innovation  #ThoughtLeadership #NiteshRastogiInsights 

Had fun talking “All Things AI” with AiThority.Com’s Rishika Patel recently and exploring how our clients across industries are currently leveraging data-driven analytics and AI to transform their organizations.    Some highlights:    💪🏻Getting data in shape for analytics and AI is one of the biggest challenges our clients face, but it’s also an opportunity to establish a strong framework to optimize the value of #GenerativeAI.    🍏 Organizations are getting started with AI by setting their sights on tactical benefits and gaining value from “low hanging fruit” to build confidence. Others focus their AI initiatives on innovation and growth, while some are testing the waters by embedding AI functionality from major software vendors or SaaS offerings.    🛍️ In retail, AI is making a splash as our clients focus on using AI to streamline business operations and improve customer experiences. For example, AI-powered chatbots and virtual assists are providing personalized support while increasing efficiency and strengthening brand reputation.  (Annika Osterberg)   🏥 Health care is another industry that stands to benefit greatly from GenAI, especially through applications that streamline operations such as the Prior Authorization process. These applications require careful handling of sensitive patient data to maintain compliance and confidentiality. (Bill Fera, Adarsh Gosu, Kumar Chebrolu)   🏭Manufacturing applications for GenAI range from keeping equipment healthy to supply chain optimization. By incorporating GenAI into robotics on factory floors, human workers can focus on innovation and skills development.  (Tim Gaus)   Our Trustworthy AI framework (https://deloi.tt/46Hn5yx) provides underlying guidance on ethical AI development and deployment across industries. It emphasizes safeguards, risk assessment, and continuous monitoring to address ethical challenges. Beena Ammanath, Kate Schmidt, Robert Stradtman   For more on how we are helping our clients leverage AI to solve real-world problems and more advances on the horizon, check out the full Q&A here: https://deloi.tt/3yKgTJm

Healthcare tops the AI charts in 2025 – but construction barely shows up. A new sector analysis by Yijin Hardware ranks the most and least AI-driven industries based on investment, startup activity, and public interest — and the gaps are huge. Here’s the snapshot: • #1 Healthcare: $4.2B poured into AI startups. Over 11,000 companies building tools from AI x-ray analysis to drug discovery. Score: 100. • #2 Finance: 11,000+ AI startups fighting fraud and automating trading. $2.1B invested. Score: 72.4. • #3 Marketing & Advertising: 241K monthly searches for AI. Score: 60.9. • #4 Legal Services: Growing fast but only $400M in funding. Score: 58.1. • #5 Education: Big public interest (399K monthly searches), led by virtual tutors and AI test graders. Score: 41.8. The laggards? • Dead last: Construction. Just $200M invested and fewer than 700 AI startups. Score: 1. • Insurance & Real Estate: Both struggling to catch the AI wave. • Manufacturing: Some buzz around machine failure detection and quality control, but still behind. • Agriculture: Surprisingly low funding despite over 1,700 AI startups. Big question: Why are industries like healthcare and finance sprinting ahead — while construction, insurance, and agriculture are barely moving? Would love to hear your thoughts: Where do you see the next AI breakout happening? #AI #Healthcare #Finance #Construction #Innovation #Startups #FutureofWork

Without doubt, AI innovation is changing the world — across government, business, education, and our everyday lives. Our global AI for Good Impact Report, created by Deloitte and the International Telecommunication Union, explores how AI is helping to advance the United Nations Office for Sustainable Development (UNOSD) Goals (SDG), details where progress is being made, and discusses the risks and challenges associated with AI.     94% of global business leaders view AI as critical to their organizations’ success in the next five years, and many organizations are seeing incredible success from their investments and innovations.  Intriguing applications of AI and GenAI are already hard at work. Here are a few of my favorite examples across industries:    🏥 In healthcare, AI is shifting the focus from treating diseases to early diagnosis and prevention, as smart algorithms identify patterns in digital data and images. Advancements are already making headway in stroke care, cardiology, oncology, and other fields.    📚In education, AI is enhancing the learning experience and improving educational outcomes for students. Intelligent Tutoring Systems use AI to gather data on students, assess their progress, and provide real-time feedback.    🌱 In agriculture, AI helps address food security challenges influenced by climate change. It aids in making real-time crop-placement decisions, monitoring crop health, and enhancing supply chain processes.    💡 In energy, AI models can predict energy consumption patterns, leading to better balancing of supply and demand, reducing waste, and optimizing energy procurement strategies.    🏦 In financial services, AI algorithms identify fraud cases and help prevent financial crimes. AI-driven tools like robo-advisors, digital wallets, and chatbots help to make financial services more accessible to underserved and previously unserved communities.    Explore the report for more innovative use cases that align with SDG goals, as well as recommendations for addressing AI challenges and building an effective governance framework: https://deloi.tt/4hhv6iA 

Earlier this year the Luminary Labs team spoke with 50+ experts about applied AI and conducted a preliminary analysis of market size, growth potential, and AI readiness. What is applied AI, you ask? Applied AI is the practical implementation of AI to solve real-world problems and achieve specific goals. This is in contrast to foundational AI (large-scale, adaptable models that apply to any task.) And while both have a role in transforming life and work, applied AI is where value will be created. To give you an idea of what this looks like in practice, Janna Gilbert, Rebecca Meyer, Ben Alsdurf, Jessica Hibbard & I share the potential for applied AI in 3 industries that have an outsized impact on America’s economy and society. Here's a sneak peak: 🏥 Health: America’s population is aging: The birth rate is at its lowest point in a century, and people 85 and older are the fastest-growing segment of the population. As the aging population continues to grow, the U.S. will need a larger, more efficient workforce that can better serve patients and caregivers. Automation reduce administrative burden, allowing existing staff to focus on direct patient care.  In life sciences, AI has enabled growth of in silico drug development models; as a result, biotech companies can use fewer resources to advance promising therapeutics. 🏦 Finance: The financial services industry is a bedrock of the U.S. economy, accounting for 6.7 million jobs and more than 7% of gross domestic product. However, traditional banking institutions are facing competitive pressure. Across the industry, market volatility, global uncertainty, and cybersecurity threats are growing concerns. Applied AI presents transformative opportunities across the financial sector, which relies heavily on large sets of data. With machine learning and applied AI, those massive data troves could be used to create innovative new offerings for customers. Financial institutions are already implementing AI for fraud prevention and security, legal services, trading and portfolio optimization, and enhanced customer interactions through AI agents. 📺 Media & Culture: The $649 billion U.S. media and entertainment market is the largest in the world, and the industry employs 2 million people. In addition, advertising, public relations, and related services employ ~500k Americans. AI tools can enhance creative workflows, personalize content at scale, and unlock new business models. On the other hand, creative roles face unprecedented pressure, with generative AI directly threatening traditionally billable services such as copywriting, graphic design, photography, and video production. Any effective applied AI strategy in creative media must carefully navigate job displacement, bias and inaccuracy risks, intellectual property infringement, and data privacy, among others. Read the full article in this week's Lab Report 👇 https://lnkd.in/eQ7M7JbN

Enterprise AI: What's Next? AI is no longer experimental—it’s essential. With AI spending skyrocketing to $15.7B in 2024 (8x growth in two years), businesses are rapidly shifting from pilots to full-scale implementation. Industry-Specific AI is taking center stage 📍 Healthcare: AI-driven diagnosis & treatment planning 📍 Manufacturing: Predictive maintenance & supply chain optimization 📍 Finance: Fraud detection & algorithmic trading ✤ AI Agents: The Next Frontier ↳ Autonomous AI systems are streamlining tasks, with adoption expected to triple by 2025. ✤ The AI-Driven Enterprise of 2025 ↳ Hyper-specialized AI solutions, multimodal AI, and AI-human collaboration will redefine business operations. The winners? Those who embrace AI strategically and invest in strong data governance. 💡What AI applications excite you most for your industry? Let’s discuss! ⬇️ #Innovation #Enterprise #ArtificialIntelligence #Business #FutureOfWork