{"id":12328,"date":"2024-10-23T15:55:19","date_gmt":"2024-10-23T15:55:19","guid":{"rendered":"https:\/\/cheesecakelabs.com\/blog\/"},"modified":"2025-05-26T16:51:07","modified_gmt":"2025-05-26T16:51:07","slug":"artificial-intelligence-beyond-genai-state-of-tech-research","status":"publish","type":"post","link":"https:\/\/cheesecakelabs.com\/blog\/artificial-intelligence-beyond-genai-state-of-tech-research\/","title":{"rendered":"Artificial Intelligence Beyond GenAI: State of Tech Research in 2024"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Artificial Intelligence Beyond GenAI: State of Tech Research in 2024<\/strong><\/h2>\n\n\n\n<p>Cheesecake Labs is delighted to share a new resource for tech executives: <a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\" target=\"_blank\" rel=\"noreferrer noopener\">Artificial Intelligence Beyond GenAI: State of Tech Research in 2024.<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"1200\" height=\"630\" src=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-report-beyond-gen-ai.jpg\" alt=\"ai beyond the hype practical insights for tech professionals to build and scale smarter\" class=\"wp-image-12335\" srcset=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-report-beyond-gen-ai.jpg 1200w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-report-beyond-gen-ai-600x315.jpg 600w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-report-beyond-gen-ai-768x403.jpg 768w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-report-beyond-gen-ai-760x399.jpg 760w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why you can&#8217;t miss this report<\/strong><\/h2>\n\n\n\n<p>AI is a goldmine set to be worth <a href=\"https:\/\/www.pwc.com\/gx\/en\/issues\/artificial-intelligence.html\" target=\"_blank\" rel=\"noreferrer noopener\">$15.7 trillion by 2030<\/a>. But with the flood of news and commentary around this technology, how do you identify what matters?<\/p>\n\n\n\n<p>Our no-fuss, comprehensive report zeroes in on what you need to know as a tech leader:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Discover the technical ecosystem powering AI innovation<\/li>\n\n\n\n<li>See AI at work in the real world to identify opportunities for your business<\/li>\n\n\n\n<li>Understand AI pricing models to gauge your project\u2019s cost<\/li>\n<\/ul>\n\n\n\n<p>Whether you&#8217;re new to AI or want to enhance AI-driven features within your existing products, this whitepaper can help you steer your initiatives.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Read the full report.<\/strong><\/a><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Key tools driving AI&#8217;s growth<\/strong><\/h2>\n\n\n\n<p>Our report demystifies the tools integral to AI projects to help you find your bearings. We guide you through the technical stack engineers and data scientists are using to develop AI models, including:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Primary language and core libraries<\/strong><\/h3>\n\n\n\n<p><strong>Python<\/strong> remains the primary AI development language because it has extensive libraries optimized for local, low-computation machine learning, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pandas<\/strong> for swift and intuitive data analysis and manipulation<\/li>\n\n\n\n<li><strong>Scikit-learn<\/strong> for efficient data mining and data analysis<\/li>\n\n\n\n<li><strong>Matplotlib<\/strong> for static, animated, and interactive visualizations<\/li>\n\n\n\n<li><strong>Streamlit<\/strong> for building web applications and dashboards<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Deep learning frameworks<\/strong><\/h3>\n\n\n\n<p>Developers rely on these tools to build and train <a href=\"https:\/\/cheesecakelabs.com\/blog\/building-neural-networks-from-scratch\/\">neural networks:<\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>TensorFlow <\/strong>for large-scale production deployments, especially TPU projects<\/li>\n\n\n\n<li><strong>PyTorch <\/strong>for faster model training with GPU and CPU support, suitable for large models and real-time applications<\/li>\n\n\n\n<li><strong>JAX <\/strong>for high-performance machine learning with accelerated linear algebra and automatic differentiation capabilities<\/li>\n\n\n\n<li><strong>Keras <\/strong>for building and training neural networks on top of TensorFlow, PyTorch, or JAX<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Vector databases<\/strong><\/h3>\n\n\n\n<p>These databases handle the massive datasets that power today&#8217;s AI apps:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ChromaDB<\/strong> for flexible storage tailored to Python and JavaScript developers<\/li>\n\n\n\n<li><strong>FAISS<\/strong> (by Meta\u2019s AI research team) for efficient similarity searches and dense vector clustering, accessible via a Python wrapper<\/li>\n\n\n\n<li><strong>Pinecone <\/strong>for scalable cloud-based data management<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Pre-built AI services<\/strong><\/h3>\n\n\n\n<p>These ready-to-use models can be customized for specific tasks, allowing developers to quickly deploy AI solutions without extensive training:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Amazon SageMaker <\/strong>for creating, training, and experimenting with new ML foundational and open-source models<\/li>\n\n\n\n<li><strong>Google Colab<\/strong> for team coding, with free access to Jupyter Notebooks online<\/li>\n\n\n\n<li><strong>Amazon Bedrock<\/strong> for connecting to a variety of foundational models from leading AI companies, allowing model training with custom data and on-demand\/time-based provisioning<\/li>\n\n\n\n<li><strong>Amazon Kendra <\/strong>for intelligible search solutions using LLMs<\/li>\n\n\n\n<li><strong>Predibase<\/strong> for creating and fine-tuning instances with open-source foundational models using custom data<\/li>\n\n\n\n<li><strong>Google Vertex AI<\/strong> for creating instances of open-source and third-party models, training custom models, and developing experimental code<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\"><strong>Read the full report.<\/strong><\/a><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Exploring real-world AI use cases<\/strong><\/h2>\n\n\n\n<p>AI is everywhere, from virtual assistants to medical diagnoses. Our report explores some of the key <a href=\"https:\/\/cheesecakelabs.com\/services\/ai-development\">AI developments<\/a> and their practical uses:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Natural language processing <\/strong>platforms that can generate human language (such as Google Cloud NL API and IBM Watson) are now widely applied in email filtering, smart assistants, predictive text, language translation, and data extraction.<\/li>\n\n\n\n<li><strong>Speech-to-text <\/strong>technologies like Apple SiriKit convert spoken language into text for voice commands and transcriptions, while <strong>text-to-speech <\/strong>technologies like Apple\u2019s AVSpeechSynthesizer transform written text into spoken output for voice-controlled devices.<\/li>\n\n\n\n<li><strong>Chatbot <\/strong>platforms such as Dialogflow and Pandorabots simulate human-like conversations to provide automated responses and assistance in various industries.<\/li>\n\n\n\n<li><strong>Content generation <\/strong>tools like OpenAI GPT make it quicker to produce marketing materials such as blog posts, social media content, and product descriptions.<\/li>\n\n\n\n<li><strong>Recommendation systems<\/strong> like Amazon Personalize and Google Recommendations analyze user data to suggest targeted products, services, and content.<\/li>\n\n\n\n<li><strong>Predictive analytics<\/strong> tools such as Google Cloud AI Platform and Microsoft Azure Machine analyze data and algorithms to forecast future outcomes, making them useful in fraud detection, customer segmentation, risk modeling, and healthcare.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"1157\" height=\"506\" src=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-ckl.png\" alt=\"deep insights, real world ai solutions, get the guide\" class=\"wp-image-12331\" srcset=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-ckl.png 1157w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-ckl-600x262.png 600w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-ckl-768x336.png 768w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-ckl-760x332.png 760w\" sizes=\"(max-width: 1157px) 100vw, 1157px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The cost of AI innovation<\/strong><\/h2>\n\n\n\n<p>What is the financial outlay for AI projects? Our report breaks down common AI pricing models to help you select cost-efficient technologies:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Resource-based pricing <\/strong>sets charges based on the overall time and computational resources consumed during the model development process.<\/li>\n\n\n\n<li><strong>Compute unit pricing <\/strong>applies fees for cloud resources based on the type of hardware used (TPU or GPU).<\/li>\n\n\n\n<li><strong>Generative model pricing <\/strong>calculates charges based on the volume of data processed, factoring in elements like embedding outputs.<\/li>\n<\/ul>\n\n\n\n<p>We also included real-world examples from Amazon SageMaker\u2019s and Amazon Bedrock\u2019s pricing to illustrate how costs are structured in practical scenarios.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A Cheesecake Labs exclusive case study<\/strong><\/h2>\n\n\n\n<p>See how we built a knowledge base chatbot that uses insights from our blogs to handle questions about Cheesecake Labs&#8217; services.<\/p>\n\n\n\n<p>We walk you through the project\u2019s technical journey \u2014 including how we used LangChain, ChromaDB, and Amazon Bedrock to develop and refine this LLM model. Maybe you\u2019ll gain insights from our process to enhance your own AI development efforts!<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"1157\" height=\"506\" src=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-cheesecake-labs.png\" alt=\"master ai techs and drive smarter decisions, download now\" class=\"wp-image-12329\" srcset=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-cheesecake-labs.png 1157w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-cheesecake-labs-600x262.png 600w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-cheesecake-labs-768x336.png 768w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2024\/10\/ai-tech-research-cheesecake-labs-760x332.png 760w\" sizes=\"(max-width: 1157px) 100vw, 1157px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Getting AI right for your business<\/strong><\/h2>\n\n\n\n<p>Successful AI projects are built on a clear picture of where this technology<em> is<\/em> and <em>where it\u2019s going.<\/em><\/p>\n\n\n\n<p><a href=\"https:\/\/content.cheesecakelabs.com\/ai-tech-research\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Download the full report<\/strong><\/a> to better understand the AI environment so you can start planning your tech stack and budget.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Do you have an AI-related project and need a development partner to make it happen? <a href=\"https:\/\/cheesecakelabs.com\/contact\/\" target=\"_blank\" rel=\"noreferrer noopener\">Let\u2019s chat!<\/a><\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence Beyond GenAI: State of Tech Research in 2024 Cheesecake Labs is delighted to share a new resource for tech executives: Artificial Intelligence Beyond GenAI: State of Tech Research in 2024. Why you can&#8217;t miss this report AI is a goldmine set to be worth $15.7 trillion by 2030. But with the flood of [&hellip;]<\/p>\n","protected":false},"author":81,"featured_media":12333,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1288,1219],"tags":[1287,1296,1295],"class_list":["post-12328","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-company","tag-artificial-intelligence","tag-genai","tag-ia-app-development"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial Intelligence Beyond GenAI: State of Tech Research<\/title>\n<meta name=\"description\" content=\"Discover Cheesecake Labs&#039; latest report, &quot;Artificial Intelligence Beyond GenAI,&quot; a must-read resource for tech leaders navigating AI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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