NineTwoThree AI Studio

I’m excited to announce that NineTwoThree has won the Fall 2024 Clutch Global Award as a top B2B company. This includes rewards for projects across:? -?Generative AI??? - Machine Learning - Chatbot? - Natural Language Processing? …and 12 other categories. Thank you to our clients for trusting us with projects setting the standard in emerging technologies. This award reflects all our team's hard work behind the scenes. Here’s to continued collaboration in 2025.

The AI backlash HarperCollins experienced this week is another example of what can happen when stakeholders feel AI is being used unethically.? Imagine if they were a publicly traded company. How would this have impacted the company’s value? Here’s my current approach to rolling out new products or features (with and without AI)?while minimizing negative sentiment.? 1) Research? -?Attitudinal (How does our audience feel about AI?) - Behavioral (How do they currently use AI?) - Quantitative (Surveys) - Qualitative (Interviews)? Combining these four research methods can create the foundation for the rollout strategy and help participants have buy-in.? 2) Positioning - What is currently on the market?? - Have our competitors done something similar?? - How will ours be different/unique?? This will ensure you don’t become just another “AI tool”.?Differentiation can be baked into every part of the product.? 3) Messaging? Once you have the research and positioning you can create messaging that would align with your personas and communicate the value.?? 4) Go-To-Market With a strong foundation, you can confidently launch your messaging across the mediums and channels that matter most to your personas with the highest probability of hitting your KPIs.? It’s deceivingly simple, but when implemented effectively, it can give all parties (customers, partners, employees)?a sense of ownership over the new initiative.? Do you agree with this process? Or, do you think backlash is unavoidable with AI announcements?? New Source: The Verge

You can upload almost any document to ChatGPT and it will “read” it. Have you ever wondered how this works? It uses something called “Vector Embeddings” A technique that converts text into numerical representations. These representations capture the semantic meaning of the text, allowing AI models to understand and process information efficiently. To simplify, imagine text as images. When we see a picture of a cat, our brain instantly recognizes it as a cat. It doesn't analyze every pixel but identifies key features like whiskers, fur, and a tail. Vector embeddings work similarly. They break down the text into its core components and represent them as points in a multi-dimensional space. Words with similar meanings are placed closer together. So, when you upload a document, the AI model: Converts the text into numerical vectors. Compares these vectors to its vast knowledge base. Identifies relevant information and generates a response. This technique is driving innovation in fields from customer service to medical research. What valuable use cases could you see for this?

"Competence leads to confidence" If you've been unsure about the future of AI and how it could impact your business, this event is for you. Tomorrow, Andrew Amann will team up with?Jamison Rotz?and?Det Ansinn?to share 3 AI innovations you need to know by 2025. It will be happening live on LinkedIn for free. Register here: https://lnkd.in/gz4XcSiB

Your website may be optimized for Google. But, is it optimized for ChatGPT Search? The first mover's advantage is well underway for those who embrace AISO alongside SEO.

This fleet management company reduced error detection time with a custom AI model.? Here’s how: 1) This company needed to automate the error-checking process to cut down on manual reviews and prevent incorrect billing.?? 2) Our solution was to deliver an AI-based model that predicts the likelihood of errors and provides readable explanations.?? 3) There was a high volume of orders to review and inconsistent data quality making manual review tedious.? 4) The solution consisted of two phases. First,?the model was used to flag high-risk records but it lacked interpretability.? 5) The second phase allowed the model to provide detailed explanations for the flag that mechanics could understand and act on.? With a functioning high-accuracy model the company could:? - Maximize reduction in error detection time? - Optimize resource allocation with informed decisions? - Improve customer satisfaction with higher-quality service? ? This is a reminder that custom AI solutions are not reserved for companies in the technology & software industries.

SEO is shifting to AI Chatbots.? Here’s how to rank your website for AI tools like ChatGPT. What step did I miss?

These two flowcharts explain the difference between a basic chatbot and one powered by a private knowledge base.? Which would you trust not more as an end user??

If you ask GenAI a question, it could confidently tell you the wrong answer. Here are 5 ways to reduce AI Hallucinations.

ChatGPT, Gemini, and Perplexity all have one thing in common. They aren’t trained solely for your ideal use case. Eventually companies will have to stop training external models and start training their own. With an in-house AI solution, you get: ?? Full control over your data ?? Customization tailored to your needs ? Compliance with industry standards The same convenience is available with less time spent manually fine-tuning and repeating prompts.