The AI revolution is a dream come true for modern marketers. When generative AI went mainstream, we embraced some quick win use cases like content creation and quick photo editing. But what came next was much bigger. We saw AI copilots come onto the scene to ride along humans. And then... autonomous AI Workers. The inbound SDR is the perfect example of a role that are ripe for AI. The tasks are repetitive and largely language-based, and require a vast amount of knowledge about your product. Fielding FAQs, booking meetings, sending follow-up emails… If AI can take over those tasks, you can free up your people to work on even higher-value projects. Perhaps prospecting or running disco calls. But not everyone is there yet, and we know it will take some time for enterprise teams to fully embrace AI Workers. Our Co-founder, Sean Whiteley, talks with customers every day about where they are on their AI journey and this is what he’s observed: The C-suite is under a lot of pressure Sean hears from execs all the time that their boards are mandating they get a strategy around their AI experimentation. It’s clear AI is the next tech revolution and VCs know that this is the direction the industry is heading, so CMOs and CROs and CTOs are all drinking through a firehose right now to get up to speed. People are cautiously optimistic Even with the speed at which this revolution is happening, there’s a lot of optimism on teams about what this means for the future of SaaS. Sean is hearing a lot about experimental budget opening up and teams getting room to play as these AI Workers hit the market. Everyone is starting to move in the same direction These shifts take time, but we’re at a point in the revolution where most teams realize they need a strategy around how and when they automate roles and integrate generative AI products into their tech stacks. Sean and I covered all of this and more in our latest episode of The AI SDR Movement. Check out the full conversation here: https://bit.ly/4ef6Iw2
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How we are helping a Fortune 500 company reduce costs by $6m using AI. For the last 3 months, we've been exploring potential opportunities for one of our clients who have a few big projects however there are budget constraints. As we listened to their pressing business challenges, we realized that Generative AI implementation could be the game changer they needed. However, they were hesitant to embrace AI advancements, unsure of how it could cut costs and improve their processes. We have identified some key areas where AI can make an impact saving huge costs: Revamping Old technologies to new using Gen AI: Many of their systems are built on old legacy technologies. We have figured out ways to revamp them so that, if we use AI effectively, more than 30% of the costs can be saved. Content Generation for marketing: Building a campaign management system that would use AI to suggest the campaign's content, taking references from past campaigns, would enhance conversion rates by 35% because of deeper insights and better decision-making. Customer service: We have built solutions that can be implemented in their customer service flows, enhancing the efficiency of their customer service agents by 300%. Currently, we are deep in implementing these solutions at scale. We have built enough expertise to provide consulting on AI implementation across various departments and industries. If anyone in the network would like to brainstorm similar solutions, we would be happy to chat. Sagar Patidar
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AI as business partner: 3 ways to growth Forget the fear-mongering - Generative AI isn't a threat, it's your secret weapon for business growth. This article reveals how entrepreneurs are using AI to supercharge productivity, amplify talent, and uncover hidden opportunities. From crafting marketing campaigns to deploying AI customer service agents, discover three powerful ways to leverage GenAI and work smarter, not harder. Are you ready to meet your new digital business partner? #AIbusinesspartner https://lnkd.in/gQR2atag
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🤫 7 mistakes marketers make with generative AI 1️⃣ Relying on free tools 💶 Free GenAI tools are extremely limited (with some exceptions) and rarely provide a clear picture of the current capabilities of generative AI models. 2️⃣ Underestimating the pace of change ⚡ Working on GenAI projects with long production timelines can be risky. By the time the project launches, the technology used might already feel outdated, that's how fast the space is moving, so test competitors regularly. 3️⃣ Neglecting prompt engineering and personalization 🧑🍳 Mastering how to craft effective prompts (CoT, SoT, etc.) is essential to unlock the full potential of AI models. Personalization also takes results to a whole new level. 4️⃣ Letting fear hold you back 😱 Fear is paralyzing. These tools are here to stay, and the best strategy is to embrace them early and stay ahead of the curve. 5️⃣ Overlooking the future potential 🕜 From agents to automation, DeepSeek, Frames, or Veo, the rapid development and significant investments in these technologies suggest there’s no ceiling in sight. The “glass ceiling” debate seems over. 6️⃣ Failing to check AI details 👋 GenAI tools can produce both outstanding and disastrous results. Always review the output carefully. I recently received visuals from an agency full of weird AI flaws 👎 7️⃣ Using DALL-E in 2025 🫠 This model is outdated, it's last been updated in October 2023. There are at least five superior free alternatives: Ideogram, Recraft, Flux, Kling, or Grok. As GenAI is getting bigger and better, adoption is key for marketing teams. 👉 Follow me for more insights.
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#AI is redefining the way businesses innovate, with capabilities that go beyond automation to transform how companies operate and create value. Discover how AI #DigitalTransformation can unlock new opportunities, from automating content creation to revolutionizing customer interactions—now is the time to embrace the future. Learn more in the latest article from our CEO & Co-founder Oscar Civantos.→ https://lnkd.in/dZNr4iNZ
The Big Business Rethinking - AI Digital Transformation as The New Innovation’s Paradigm
aimanager360.com
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Quick Overview of Each AI Type Here’s what you need to know: Agentic AI Definition: AI systems that act autonomously, adapt, and execute tasks without human intervention. Key Capability: Independent decision-making and task execution. Use Cases: Autonomous marketing systems, intelligent agents in business processes. Ideal For: Organizations seeking automation with minimal human interaction. Generative AI Definition: AI that creates new content, including text, images, or data. Key Capability: Content generation based on learned patterns. Use Cases: Tools like GPT-4 (text) and DALL-E (images). Ideal For: Businesses focused on creativity, personalization, or content innovation. Traditional ML Definition: AI that identifies patterns in data to make predictions or classifications. Key Capability: Data analysis and predictive modeling. Use Cases: Fraud detection, decision trees, and regression models. Ideal For: Companies relying on data insights for decision-making. Match your AI type to your business needs. Need automation? Go for Agentic AI. Want creativity? Opt for Generative AI. Focused on data insights? Choose Traditional ML. Ensure seamless integration with your existing workflows to maximize results Why This Matters Now AI adoption is accelerating, but only businesses that select the right tools will gain a competitive edge. Understanding the distinct strengths of these AI types ensures you’re making strategic, informed decisions for your organization. What type of AI aligns with your business goals? Let’s discuss below!
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As people think about building out their corporate AI strategy, I am seeing a host of pitfalls companies are falling into that can pose significant problems down the road. Let's talk about what a good AI strategy IS and ISN'T. IS: A comprehensive approach to include both Conversational AI and Generative AI on a singular platform to be deployed strategically across the entire organization for all CX and EX across all preferred channels. IS NOT: Piecemealing multiple solutions for both CAI and Gen AI across the organization, each as a stand-alone instance that doesn’t naturally complement each other, lacks product interplay, and can only be deployed with limited scope. IS: Scalable and flexible to adapt as the market shifts and changes, being open to always using the best models or supporting technology to customize the use case to your needs. IS NOT: Rigid solutions that cannot adapt or scale without added managed services costs, leaving ownership in the hands of the vendor, or needing to buy another point solution. IS: Leveraging an AI-native platform that can use all model types and gives you control to fine-tune models with your own data in a safe manner to build tailored, customized use cases. IS NOT: Comprised of legacy products that have bolted on some singular commercial model without any backend capability to make changes and easily switch or adapt. IS: An AI technology suite that solves problems in multiple ways and provides enough depth and orchestration to allow you to be creative and strategic in solving challenges. IS NOT: Handcuffing your success or failure on a tool that only has one way to accomplish the use case or challenge, and if that fails, the entire platform fails. IS: Betting your AI future with a proven company that has run AI at scale and been in the space for 10+ years with all the resources and engineering power to stay at the cutting edge of AI advancement. IS NOT: Betting your AI future on an unproven “me too” player that consists of two dudes in a basement building every aspect of the platform themselves. I can go on and on, but the moral of the story is that while the AI market is flooded with countless “Me Too AI Players” all hopping on the new hot thing and claiming to offer the same level of solution, there are only a handful of true enterprise-wide AI players you can successfully build an AI strategy with to take you well into the future.
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How to Innovate in an Era of AI And Unlock Endless Possibilities. In today's fast-paced world, innovation is key, and artificial intelligence (AI) is at the forefront of transforming industries. This post explores actionable ways to embrace AI and drive innovation—whether you're a business owner, content creator, or entrepreneur. ➔ Why AI is crucial for innovation: - AI enhances productivity, automates repetitive tasks, and unlocks creativity. - Personalized customer experiences and faster decision-making with AI tools. ➔ Key steps to innovating with AI: - Identify the right problem AI can solve. - Start small—integrate AI in one part of your business. - Measure success with clear KPIs. ➔ Real-world examples: - Netflix, Spotify, Tesla, and BuzzFeed are leading the way with AI-powered strategies. ➔ Challenges and solutions: - Overcome barriers like data privacy, bias in algorithms, and adoption costs. 🔗 Ready to start innovating with AI? Read the full article below to learn more! 👇 https://lnkd.in/ecPdKbCq
How to Innovate in an Era of AI: Unlocking Endless Possibilities with the Right Tools
https://aidiscoveries.io
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Generative AI has already been transformative, enabling businesses to create outreach emails, source code, marketing strategies, and more. However, it typically requires human activation and decision-making to implement its outputs effectively. Agentic AI builds on this by focusing on autonomous execution, moving beyond generation to actively drive business outcomes. While generative AI excels at producing content like text, images, and code, agentic AI takes it a step further by emphasising action and autonomy. 🪄 By combining the creative potential of generative AI with the autonomous execution of agentic AI, businesses like yours can unlock unprecedented levels of innovation, efficiency, and productivity. As agentic AI continues to evolve, it’s crucial for IT leaders to prioritise integration, embrace ethical considerations, and develop a robust AI strategy. Read more on this topic on our Sirocco Group blog: https://lnkd.in/dtKb38EB #AI #GenAI #AgenticAI #SiroccoGroup
The rise of Agentic AI: From generation to action in 2025
https://www.siroccogroup.com
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Experts Reveal How To Rollout An AI Strategy
Experts Reveal How To Rollout An AI Strategy - TechRound
https://techround.co.uk
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Unlocking the Power of AI: My Simple Guide for You If you're like me, you’ve probably been hearing a lot about Artificial Intelligence (AI) and wondering what it’s all about. Well, let’s simplify things! AI isn’t just a buzzword anymore—it’s here to stay and can play a powerful role in business, no matter what industry you’re in. Let me walk you through what AI really is and how you can start using it today. What is AI? At its core, AI refers to systems and technologies that allow computers to perform tasks that normally require human intelligence. Whether it's learning, reasoning, problem-solving, or understanding language, AI helps machines simulate these cognitive functions. Simply put, it’s like giving machines a brain that can recognize patterns, make decisions, or predict outcomes. How AI is Already Part of Your Life Chances are, you’re already interacting with AI on a daily basis without even realizing it. Here are a few ways it’s showing up in everyday life: Virtual Assistants: If you’ve ever asked Siri, Alexa, or Google Assistant a question, you’ve used AI. These tools rely on AI to understand voice commands and assist with tasks like setting reminders or answering questions. Personalized Recommendations: When Netflix suggests a new show or Amazon recommends a product based on your browsing history, that’s AI at work. It’s analyzing your preferences and behaviors to provide personalized recommendations. Chatbots: Have you chatted with a customer service bot on a website? That’s another AI application. These bots are trained to respond to common queries, saving time and improving customer service. Why AI Matters for Your Business Now, let’s talk about why AI should matter to you and your business. Here’s what I’ve learned about how AI can make a real impact: Data Analysis: AI can analyze large sets of data much faster than humans can. It helps identify trends, insights, and patterns that are otherwise hard to spot, allowing for smarter business decisions. Automation: We all know how time-consuming repetitive tasks can be. AI can handle things like scheduling, invoicing, or responding to emails—allowing you to focus on more strategic, creative work. Enhanced Customer Experience: Whether through AI-powered chatbots or personalized marketing strategies, AI helps businesses provide tailored and quicker customer responses, which leads to a better experience overall. To be continued...
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