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NineTwoThree Resources
Read ebooks and resources written by our experts. Browse through ideas and projects we have been working on and get free PDF copies of each study.
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How Data Maturity Can Skyrocket Your AI Projects to the Next Level
Generative AI
|
Consulting
Author:
Pavel Kirillov
Imagine your AI projects powered by flawless data—because that’s where the magic happens! Whether you’re troubleshooting an existing AI product or just embarking on your data-driven journey, understanding the role of data maturity can be transformative. Explore the impact of elevating your data practices to create AI solutions that are smarter, faster, and more secure.
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Self-hosted vs Third-party LLMs
Machine Learning
|
LLM
Author:
Pavel Kirillov
The AI revolution is changing how many forward-thinking organizations operate. Enterprises that we work with have saved thousands of hours and millions of dollars by strategically integrating AI into their operations. By now, it’s clear the best-in-class companies of tomorrow will use AI as a core part of their business. Anyone who wants to jump on this trend would be wise to start exploring now.
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A Framework For Presenting Complex Machine Learning Concepts for Non-Technical Stakeholders
Machine Learning
|
LLM
Author:
Pavel Kirillov
Machine learning projects are as much about alignment as they are about algorithms. Whether you're updating stakeholders on progress, securing buy-in, or managing expectations, clear communication is key to success. But keeping everyone informed—especially across teams with varying technical expertise—can feel like an uphill battle. How do you simplify complex updates without oversimplifying? How do you keep stakeholders engaged and in sync with project goals? We’ve put together a practical framework to help you bridge the gap between technical details and stakeholder priorities.
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Balancing Complex and Simple ML Solutions
Machine Learning
|
LLM
Author:
Pavel Kirillov
The AI revolution has created a steady stream of flashy demos, incredible products, and life-changing announcements. Followed closely by sky-high expectations for what’s possible with AI.
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AskCR
Generative AI
|
LLM
Author:
Pavel Kirillov
NineTwoThree was selected by the CR Innovation Lab to help build an experimental chatbot that combines the power of AI with CR's expertise to answer your questions and offer product recommendations.
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Tackling Hallucinations in LLMs with RAG
Generative AI
|
LLM
Author:
Pavel Kirillov
The rise of Large Language Models (LLMs) like ChatGPT has unlocked a new capability for technology-focused organizations. It’s not just about transforming existing processes like customer service and FAQs - LLMs are creating new use cases and features that weren’t possible before.
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Helping Students Perform Self-Evaluations 80% Faster with Gamification
Custom Software Development
|
Web App
Author:
Pavel Kirillov
By collaborating with NineTwoThree Studio, PMI reduced their assessment time from three hours to just 40-60 minutes. The gamified approach dynamically adjusted question difficulty based on student performance, making the process more engaging and efficient.
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Predict Qualified Leads from Previous Consumer Actions
Machine Learning
|
Consulting
Author:
Pavel Kirillov
There's thousands of organizations sitting on a gold mine of insights for their data. The tough part is finding them.
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Predictive Lead Scoring Increases Insurance Company's Top Line
Machine Learning
|
LLM
Author:
Pavel Kirillov
In the competitive world of insurance sales, efficiency is paramount. Cultivating a prospect from initial contact to a closed deal is a complex process, often riddled with wasted time and missed opportunities. This case study looks into how NineTwoThree partnered with a mid-sized insurance company to revolutionize their lead generation strategy using the power of Machine Learning (ML).
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Building a Privacy-First LLM
Generative AI
|
LLM
Author:
Pavel Kirillov
In the evolving landscape of AI technology, the integration of Large-Language Models (LLMs) into organizational workflows have increased. For security-focused entities, the deployment of LLMs presents unique challenges, particularly concerning data privacy and reliability. This case study offers an in-depth exploration of the process involved in building and integrating Privacy-First LLMs. It sheds light on how organizations can effectively leverage AI while prioritizing security and compliance. By adopting privacy-focused systems, security-conscious entities can successfully navigate the complexities of AI integration while safeguarding the integrity and confidentiality of their data.
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How Retrieval Augmented Generation Powers Enterprise Generative AI Projects
Generative AI
|
LLM
Author:
Pavel Kirillov
As with any groundbreaking technology, Generative AI has imperfections. One of the most prominent of these limitations is the challenge faced by LLMs in delivering accurate, sourced, and contextually appropriate content. This main limitation makes it almost impossible for a company to stake its reputation based on an LLM’s unknown output. How would you feel if a brand you trusted lied to you while you asked them questions about your account? This fear has led to the inception and growing relevance of retrieval-augmented generation (RAG). With RAG companies have more control over the materials an LLM uses for its information and the answers it gives users.
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Integrating IoT Solutions for The Golf Course and Increasing Downloads by 304%
Internet of Things
|
Edge IoT
Author:
Pavel Kirillov
Realizing the depth of the challenges and recognizing the need to act swiftly, SWEE sought external help. They turned to NineTwoThree, a renowned app development company known for breathing life into struggling projects. With an impressive portfolio that included multiple successful Internet of Things (IoT) applications, NineTwoThree was the perfect ally for SWEE.
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Why Semantic Search Will Change the Internet
Generative AI
|
LLM
Author:
Andrew Amann
While LLMs are trained on large amounts of data, they don’t have the ability to understand the context and intent of the words they are trained on. This is where semantic search enters the conversation. Semantic search has the ability to recognize the underlying meaning of search queries and return results based on the meaning, even if the search query doesn’t contain the exact keywords that are used in the results. Before we can dive into how semantic search makes LLMs better, we need to first look at semantic search itself.
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Integrating With Dorel Baby Monitors & Selling Thousands at Target
Mobile App
|
iOS
Author:
Andrew Amann
When it came to developing their pioneering initial baby monitor application, Dorel Industries recognized the importance of finding a collaborator who shared their passion for technical pushing boundaries. That's why they turned to NineTwoThree Studio
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How to Evaluate and Hire an App Agency
Mobile App
|
Android
Author:
Andrew Amann
Ready to Build Your Dream App? Finding the right app agency can be the difference between a successful launch and a failed project. Our Flipbook, "How to Evaluate and Hire an App Agency," guides you through the process, from defining your app's goals to selecting the perfect partner. Learn key questions to ask, red flags to avoid, and best practices for a seamless collaboration. Let's turn your app idea into reality!
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The Complete Guide to Mobile App Development Planning And Costs
Mobile App
|
Android
Author:
Pavel Kirillov
When you're investing time, effort, and a substantial amount of money into the app development market, you're naturally looking for a worthwhile return. That's where a solid grasp of the cost structure comes into play.
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ChartMogul: Scaling Users by Creating an Android App
Mobile App
|
Android
Author:
Andrew Amann
NineTwoThree Studio and ChartMogul, a leading SaaS subscription analytics platform, developed and launched an Android app that expanded its user base.
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Building a Saas From 0 to $100K ARR in 9 Months
Business Models
|
Web App
Author:
Andrew Amann
With Altar Live, we recognized an untapped potential in serving religious communities worldwide. Understanding the importance of faith and the growing need for digital solutions for congregations, we tailored our offerings to cater specifically to churches. Our unique approach and deep understanding of this niche market resonated profoundly, leading us to achieve an annual recurring revenue (ARR) of $100,000.
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Predicting 74% of All Houses Sold In The United States Every Month
Generative AI
|
Web App
Author:
Pavel Kirillov
DataFlik approached NineTwoThree to build a machine-learning model that generates prioritized lists of motivated sellers more accurately than a human.
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Using Machine Learning to Improve Maintenance Costs in Manufacturing
Machine Learning
|
Edge IoT
Author:
Pavel Kirillov
Discover how applying machine learning algorithms to hydraulic system components can improve overall maintenance based on this case study.
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Our Unique Process For Developing Dozens of Consumer Mobile Apps
Mobile App
|
iOS
Author:
Pavel Kirillov
Learn about the steps to develop a consumer mobile app, from researching the target market to designing and coding the app, branding, and revenue models.
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Lessons From Building a Mental Health ChatBot
Generative AI
|
CMS
Author:
Pavel Kirillov
In this case study we discuss how our client decided to question if ChatGPT could be trained to be a replacement for a therapist.
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Fast Development in High-Growth Software Startups
Custom Software Development
|
Web App
Author:
Ventsi Todorov
B2B Collaboration. Dock's software platform drives transparency and collaboration between businesses. NineTwoThree developed features to elevate that platform.
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How to Develop a Successful B2B Application
Mobile App
|
iOS
Author:
Ventsi Todorov
Explore the process and methodologies for designing powerful B2B mobile and web apps that address unique complexities and solve business problems.
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