Engenai

How would you explain generative AI (genAI) to someone who doesn’t know what it is? How would you show executives its transformative potential and the key business metrics it would move? How would you have a meaningful discussion about its risks and challenges? Why should you even care? That’s why we’re introducing the 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀, where we’ll be discussing our first subject area, Generative AI 101 for Business. The purpose of this series is to help you develop a working knowledge about AI so you can have productive conversations about actionable steps you can take to use this emerging technology to drive practical wins for your business. A lot of attention lately has been focused on the conversational/chat aspect of generative AI. But it is much, much more than a chatbot. Follow Engenai so you don’t miss a moment of our new, 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟭𝟬𝟭 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #ecommerce

𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 takes your idea and automatically creates a GenAI-powered application that you control. Configure, refine, and improve your GenAI application as needed. Driving wins for your business with GenAI is easier than you might think. Engenai simplifies going from zero to one with GenAI so you can focus your team and resources on the parts of your business you do best. Connect with us to see how we can help. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #GenAIPrompts #LLMPrompts

Is your company investing in developing its own LLM? How does it position its investment and how does it think about ROI? Would love to hear about your projects in the comments below. https://lnkd.in/ghZm99Hs --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai

Traditional sales training and customer onboarding methods are often impersonal, time-consuming, and ineffective, leaving new users overwhelmed and underprepared. How can companies ensure every new sales representative and customer receives the tailored, interactive support they need to succeed from day one? [This is a part of our 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟭𝟬𝟭 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀.] Generative AI can significantly enhance the process of educating and training new users for product sales by creating personalized and interactive learning experiences. Through the use of AI-driven chatbots and virtual assistants, new sales representatives can receive tailored training modules that adapt to their individual learning pace and style. This personalized approach ensures that each user fully grasps the product features, benefits, and sales techniques, ultimately leading to more effective sales interactions. Additionally, generative AI can simulate real-life sales scenarios, allowing new users to practice and refine their skills in a risk-free environment before engaging with actual customers. In the realm of new customer onboarding, generative AI streamlines the process by offering customized onboarding materials and support. AI can generate dynamic tutorials, FAQs, and step-by-step guides that cater to the specific needs and preferences of each customer. This ensures that new users can quickly become proficient with the product, leading to higher satisfaction and retention rates. Furthermore, AI-powered tools can provide real-time assistance and troubleshooting, addressing customer queries instantly and reducing the dependency on human support staff. This not only enhances the onboarding experience but also frees up resources, allowing the company to focus on more complex customer interactions and strategic initiatives. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #customerservice #onboarding #training #sales #salestraining

Understanding and complying with building codes and permits is complex due to the intricate, varied, and frequently updated regulations that differ across jurisdictions. Generative AI can help. [This is a part of our 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟭𝟬𝟭 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀.] Building regulations are often highly detailed, encompassing various aspects of construction such as safety, accessibility, and environmental impact. Additionally, codes can vary significantly between different cities, counties, and states, requiring builders to be familiar with multiple sets of rules. The frequent updates and revisions to these codes add another layer of difficulty, necessitating continuous education and adaptation to ensure compliance and avoid costly delays or penalties. Generative AI (genAI) can streamline this process, driving operational efficiency, lowering costs, and improving the quality and safety of a wide range of construction projects. In one use case, genAI can streamline the construction permitting process by automatically checking building designs against local building codes. For example, a construction firm submits a digital blueprint of a proposed building. The AI analyzes the design, compares it with relevant regulations, and highlights any code violations or compliance issues. This rapid, automated review reduces the time and effort required for manual checks, ensuring faster permit approvals and fewer costly revisions. In another use case, genAI can assist in generating and optimizing construction schedules that comply with local noise ordinances and work hour restrictions. For instance, a construction company inputs their project timeline and constraints into the AI system. The AI then produces a detailed schedule that maximizes productivity while adhering to local noise regulations and permissible work hours. This ensures compliance with local laws, minimizes the risk of fines, and improves community relations by reducing disturbances. Given the current state of the capabilities of generative AI, it would be premature to rely on these solutions in an unsupervised, fully automatic fashion. However, genAI can significantly reduce the labor-intensive and resource-hungry early first stages and drafts of such projects to free up your people to work on higher value tasks that only they can do. The output from genAI would highlight key considerations for experienced personnel to proceed with additional due diligence. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #construction #buildingpermits #govtech #buildingcodes

What is the difference between search and discovery? Powered by generative AI, this revolutionary approach goes beyond traditional search to deliver personalized, intuitive, and exploratory experiences, uncovering deeper insights and new connections. Discover how this paradigm shift is transforming business intelligence, personalized recommendations, and dynamic marketing content. --- #GenerativeDIscovery #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #ecommerce #GovTech #IntelligentSearch #SemanticSearch 

Imagine if you had the opportunity to recover up to two-thirds of your abandoned sales. What would that mean for your business? [This is a part of our 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟭𝟬𝟭 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀.] Cart abandonment is a major hurdle for e-commerce businesses, with studies showing that over two-thirds of shopping carts are abandoned. This means that for every 100 people who add something to their cart, only around 33 will actually follow through and buy it. More to the point, you might be missing a huge percentage of potential sales. With generative AI, we can now create more personalized interactions with prospective customers that are thoughtful and relevant. One way is to pre-emptively address common concerns that might be causing your customers to abandon their carts. AI can analyze past customer inquiries related to abandoned cart items and generate a dynamic FAQ section on the product page. Further, a custom email for each customer with an abandoned cart can highlight these questions and even emphasize the types of questions that specific customer is likely to ask. These are some of the things that you can do with generative AI, right now, while strategically investing in this emerging technology. In this specific example, you don’t have to disrupt your normal operations and key money generating flows. You can try to recover sales that you were going to lose anyway, which is all positive lift. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #ecommerce #abandonedcart #revenue

One application of generative AI that businesses can step into carefully is dynamic pricing strategy. [This is a part of our 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟭𝟬𝟭 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀.] By enabling businesses to analyze vast amounts of real-time data and customer behavior patterns swiftly and accurately, genAI can predict demand fluctuations, competitive pricing trends, and even consumer sentiment shifts. This capability allows businesses to adjust prices dynamically based on factors such as time of day, market conditions, inventory levels, and customer demographics, optimizing revenue while staying competitive in an increasingly fast-paced market environment. Furthermore, these AI-driven pricing models continuously learn and adapt, refining their predictions over time to further enhance profitability and customer satisfaction. Of course, it is critical that this be done thoughtfully, in strategic and precise tests, to measure performance and minimize unintended consequences to the business. One area where businesses can begin is to manage unsold or cancelled inventory into a compelling customer experience. Consider a luxury hotel chain leveraging AI algorithms to dynamically offer personalized upgrades or exclusive packages to guests who book last-minute or during off-peak periods. Through predictive analytics, the AI identifies patterns in booking behaviors and traveler preferences, suggesting tailored experiences such as spa treatments, room upgrades, or dining credits based on individual profiles. By targeting specific customer segments with enticing offers at optimal times, the hotel not only fills vacant rooms but also enhances guest satisfaction and loyalty. This approach not only maximizes revenue from otherwise underutilized inventory but also elevates the overall customer experience by delivering unexpected value and personalized perks that resonate with guests' preferences. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #traveltech #travelbiz #ecommerce

What is the difference between search and discovery? Powered by generative AI, this revolutionary approach goes beyond traditional search to deliver personalized, intuitive, and exploratory experiences, uncovering deeper insights and new connections. Discover how this paradigm shift is transforming business intelligence, personalized recommendations, and dynamic marketing content. --- #GenerativeDIscovery #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #ecommerce #GovTech #IntelligentSearch #SemanticSearch 

Generative AI can vastly simplify, scale, and improve the quality of data through data enrichment. [This is a part of our 𝗘𝗻𝗴𝗲𝗻𝗮𝗶 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟭𝟬𝟭 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀.] Manually categorizing and tagging products, documents, and other types of information is labor-intensive. This works well where the dataset is fairly static and search-and-retrieval is simple. But what if you are dealing with thousands of SKUs, documents, or items? What if items are constantly added/removed? What if these items are in emerging fields? Just a few years ago, smart home devices, wearable tech, telehealth, and usage-based insurance (UBI), didn’t exist and did not have a standardized way to describe (and search) for them. This is where generativeAI can help, automatically describing these items with speed, scalability, consistency, and adaptability. Let’s look at a home improvement example: 𝗢𝗿𝗶𝗴𝗶𝗻𝗮𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗟𝗶𝘀𝘁𝗶𝗻𝗴 Product Title: "Smart LED Light Bulb" Description: "Dimmable smart light bulb with WiFi control, compatible with Alexa and Google Home." Specifications: Power: 9W Color: White Connectivity: WiFi Features: Voice control, energy saving 𝗔𝗜 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Category: Home & Garden Subcategory: Lighting > Smart Lighting Tags: "smart light bulb, WiFi light bulb, Alexa compatible, Google Home compatible, dimmable LED, energy saving light" Description: “Transform your home lighting experience with our Smart LED Light Bulb. This innovative bulb combines energy efficiency with cutting-edge technology to bring you the ultimate in convenience and customization. With a power rating of just 9W, this bulb provides bright, clear light while saving on your energy bills. The sleek white design ensures it blends seamlessly with any decor.” Let’s look at an example with government building permits: 𝗢𝗿𝗶𝗴𝗶𝗻𝗮𝗹 𝗣𝗲𝗿𝗺𝗶𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Project Description: "Renovation of a residential property located at 123 Main Street." Location: "123 Main Street, Anytown, USA" Proposed Construction Type: "Interior remodeling" 𝗔𝗜 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Project Type: Residential Construction Type: Interior Remodeling Location: 123 Main Street, Anytown, USA Estimated Cost: $50,000 Proposed Timeline: 3 months Of course, both of these examples could be done manually. But will that scale? Could those resources, people, and money be better spent elsewhere?   The categorization and tagging process can be confined to your internal systems to make them more intelligent, efficient, and provide better reporting for business intelligence. Or, you can create new ways for your end customers to interact with this enhanced information, making your products and services more discoverable, driving engagement and conversion. --- #generativeAI #genAI #LargeLanguageModels #LLM #LLMs #LLMOps #ArtificialIntelligence #AI #Engenai #ecommerce #govtech