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💡 How To Outsmart AI Costs: Deploy Smarter, Not Bigger Want to slash your AI costs while boosting performance? The secret lies in smarter deployment, not bigger models. Many businesses default to using large, generic AI models or hyperscale clouds for all their needs. However, this one-size-fits-all approach can lead to skyrocketing costs and slower response times. The key is to deploy AI strategically, considering privacy, latency, and cost. Bring compute power closer to your data sources instead of relying solely on distant cloud services. Pro tip: Audit your AI use cases. Identify where you need real-time responses or handle sensitive data. For these scenarios, consider implementing localized AI solutions to process data at the edge or embedded, reducing latency and enhancing privacy. How are you optimizing your AI deployment for cost and efficiency? #AIOptimization #edgeAI #PrivateLLM #SLM Jon Nordmark Brian Sathianathan Kevin J. Homer John Selvadurai Ph.D., MBA Dave Jenkins Emily Giltner 🌷 Gen Furukawa Iterate.ai

Strategic roadmapping has changed forever with AI. Here's how you want to think about it now: 1️⃣ Define your AI vision. Imagine your business three to five years from now, transformed by AI. Be ambitious, yet grounded in reality. This vision will serve as your North Star, guiding all subsequent decisions and actions. 2️⃣ Take stock of your current situation. Assess your organization's AI readiness by evaluating your data infrastructure, technical capabilities, and team skills. What gaps need to be filled and opportunities to be seized in your operations? 3️⃣ Translate your grand vision into concrete, AI-driven objectives. Aim for three to five high-level goals that leverage AI's potential. For instance, you might set out to reduce customer churn by 20% using predictive analytics, or automate 30% of customer service interactions with AI chatbots. For each of these objectives, identify two or three key AI initiatives. These are the major projects that will bring your objectives to life. You might implement machine learning for demand forecasting or use natural language processing for sentiment analysis. Focus on those that align most closely with your goals. 4️⃣ Prioritize. Rank your projects based on their potential impact and feasibility. Create a timeline for implementation, taking into account dependencies between projects and the availability of resources. 5️⃣ Allocate resources wisely. Determine the budget, talent, and technology needs for each AI initiative. Consider whether you need to partner with AI vendors or hire AI specialists to bridge any skills gaps in your organization. To ensure you're on the right track, define success metrics for each AI project. These could range from the accuracy of predictive models to cost savings from automation, or improvements in customer satisfaction scores. 6️⃣ Create a visual AI roadmap. This one-page document should encapsulate your entire AI journey, showing objectives, initiatives, timeline, and key milestones. It's a powerful tool for communication and alignment. 7️⃣ Communicate your roadmap across all departments, ensuring everyone understands how AI will impact their role and contribute to the company's future. This roadmap isn't set in stone. Regularly review and adapt your AI plans as technology evolves and new opportunities emerge. AI implementation is an iterative process, so start small, learn fast, and scale your successful projects. By following this strategic approach, you can confidently lead your organization's AI transformation. A clear roadmap in hand now, you're well-equipped to implement AI into your operations. Have any questions? Drop a comment, we can answer any questions 👍

We’re thrilled to announce that Brian Sathianathan, Co-Founder & CTO/CDO of Iterate.ai, will be sharing his insights on Generative AI and how to integrate it into your business at our upcoming webinar with Intel. Be sure to save your spot! https://lnkd.in/ga3G9Gt4 Brian Sathianathan Intel Corporation BrightTALK Rory Reichelt Kevin J. Homer #AIEverywhere #Intel #GenerativeAI

With generative AI, SMBs can now compete in the big leagues. Here's how generative AI levels the playing field: 1. Cost-Effective Powerhouse: Generate high-quality content, designs, and code at a fraction of traditional costs. 2. 24/7 Productivity Boost: AI handles routine tasks, freeing you to focus on strategy and innovation. 3. Marketing Multiplier: Create personalized, engaging content at scale. Your small team, amplified. 4. Customer Service Revolution: AI-powered chatbots offer instant, round-the-clock support without inflating payroll. 5. Rapid Product Development: From ideation to prototyping, accelerate your innovation cycle. 6. Data Insights, Simplified: Get actionable insights from your data, no data science degree required. 7. Personal Touch, Mass Scale: Offer big-company personalization on an SMB budget. 8. Streamlined Operations: Optimize processes for peak efficiency. The difference between surviving and thriving. The Real Power Play: Generative AI handles the routine, you tackle the game-changers. Focus on relationships, strategy, and innovation - your true competitive edge. Challenges? Sure. You'll need the right tools and training. But the payoff? Immense. Remember: Generative AI is your tool, not your replacement. Combine it with your creativity and entrepreneurial spirit for maximum impact. Generative AI isn't just leveling the playing field - it's tilting it in your favor. AI doesn't need to be exorbitantly expensive and reserved for deep pocketed companies. Drop a comment below if you want some ideas on how to implement AI into your workflows.

We’re thrilled to announce that Brian Sathianathan, Co-Founder & CTO/CDO of Iterate.ai, will be sharing his insights on Generative AI and how to integrate it into your business at our upcoming webinar with Intel. Be sure to save your spot! https://lnkd.in/ga3G9Gt4 Brian Sathianathan Intel Corporation BrightTALK Rory Reichelt Kevin J. Homer #AIEverywhere #Intel #GenerativeAI

Today's word: BERT. BERT (Bidirectional Encoder Representations from Transformers) is a popular language model that is used in natural language processing. Click the link in the comments section to learn more..

With generative AI, SMBs can now compete in the big leagues. Here's how generative AI levels the playing field: 1. Cost-Effective Powerhouse: Generate high-quality content, designs, and code at a fraction of traditional costs. 2. 24/7 Productivity Boost: AI handles routine tasks, freeing you to focus on strategy and innovation. 3. Marketing Multiplier: Create personalized, engaging content at scale. Your small team, amplified. 4. Customer Service Revolution: AI-powered chatbots offer instant, round-the-clock support without inflating payroll. 5. Rapid Product Development: From ideation to prototyping, accelerate your innovation cycle. 6. Data Insights, Simplified: Get actionable insights from your data, no data science degree required. 7. Personal Touch, Mass Scale: Offer big-company personalization on an SMB budget. 8. Streamlined Operations: Optimize processes for peak efficiency. The difference between surviving and thriving. The Real Power Play: Generative AI handles the routine, you tackle the game-changers. Focus on relationships, strategy, and innovation - your true competitive edge. Challenges? Sure. You'll need the right tools and training. But the payoff? Immense. Remember: Generative AI is your tool, not your replacement. Combine it with your creativity and entrepreneurial spirit for maximum impact. Generative AI isn't just leveling the playing field - it's tilting it in your favor. AI doesn't need to be exorbitantly expensive and reserved for deep pocketed companies. Drop a comment below if you want some ideas on how to implement AI into your workflows.

Here are 5 AI Trends Reshaping Enterprises 1️⃣ AI-Human Collaboration Will Become the Norm    AI will become your team's always-on partner, enhancing human creativity and decision-making.  Imagine brainstorming sessions where AI generates ideas alongside your team, or strategy meetings where AI provides real-time data analysis. 2️⃣ Edge AI Will Bring Intelligence Everywhere    AI isn't just for the cloud anymore.  Edge AI will push intelligence to devices and local networks.  This means faster responses, better privacy, and AI that works even without internet connectivity.  From smart factories to AI-powered retail experiences, intelligence will be embedded everywhere. 3️⃣ Explainable AI Will Build Trust    As AI makes more critical decisions, the demand for transparency will grow.  Explainable AI will allow businesses to understand and explain how AI reaches its conclusions.  This isn't just about compliance - it's about building trust with customers, employees, and stakeholders. 4️⃣ AI Will Drive Sustainability Efforts    Environmental concerns are top of mind for businesses.  AI will be crucial in optimizing energy use, reducing waste, and finding innovative solutions to sustainability challenges.  From smart grids to AI-optimized supply chains, technology will be key to a greener future. 5️⃣ Generative AI Will Spark a Creative Revolution    We've seen the beginnings, but generative AI is set to transform every creative process.  From product design to marketing content, AI will not just assist but actively contribute to the creative process.  This will lead to unprecedented levels of personalization and innovation. But here's the thing: these trends aren't separate paths.  They'll converge, creating an AI ecosystem that's more powerful, more accessible, and more transformative than anything we've seen. Imagine a world where edge AI devices collaborate with humans, making ethical, explainable decisions that drive both profit and sustainability. Where generative AI sparks ideas that humans refine and implement. This isn't science fiction - it's the near future of enterprise AI. However, this AI-powered future isn't guaranteed for every business. It belongs to those who prepare now. It's about more than just adopting technology - it's about fostering an AI-ready culture, developing new skills, and reimagining business processes. The companies that thrive won't just use AI as a tool. They'll weave it into the fabric of their organization, creating an "AI-first" mindset that permeates every decision and strategy. The future of enterprise AI is bright - and it's there for those bold enough to seize it.

🧠 Fast Track Your AI Journey With Low-Code Feeling the pressure to adopt AI but unsure where to start?  A low-code platform might be your secret weapon. AI is in its early stages, and no one knows exactly where it's heading.  This uncertainty creates both challenges and opportunities for businesses across all sectors. The key to success in this evolving landscape is rapid iteration and learning.  Make sure you spend as much time as possible engaging with internal and external customers to gather insights and refine your AI initiatives. Iterate.ai's low-code drag-and-drop platform, Interplay, is a game-changer in this process. It allows you to quickly build and modify AI solutions without extensive coding knowledge, accelerating learning and adaptation. What's your biggest challenge in implementing AI solutions?  #AIInnovation Iterate.ai Brian Sathianathan Jon Nordmark Kevin J. Homer Dave Jenkins John Selvadurai Ph.D., MBA Emily Giltner 🌷 Gen Furukawa

Today's word: GloVe (Global Vectors for Word Representation). Learn more about the definition, use case, and relevance for enterprises by clicking the link in the comments section below.