Modus Create

MAY 8, 2025

At Modus Create, we define intelligent product development as: Building software around AI: Where AI is embedded into the product experience (i.e., personalization, recommendation engines, generative UI, LLM-based support, predictive analytics). You can simulate user interactions with LLM personas. Lets find out.

Product Research

Lenny Rachitsky

NOVEMBER 14, 2024

Track how many prototypes you create and how many ideas are generated from hackathons, and gather feedback on usability.

Feedback Software

Reveal

DECEMBER 30, 2024

Comprehensive Training Resources : Select a vendor that provides an extensive library of documentation, tutorials, and videos designed to empower users at all technical levels. From setting up integrations to configuring dashboards, you need help you get up and running quickly.

Data Visualization

Userpilot

FEBRUARY 24, 2025

PDO provides data and insights that power machine learning and AI, at the core of all Meta products. Experience in AI , machine learning, or related fields. Meta Manager, Product Data Operations Meta office. Meta is looking for an Operations leader to join the Product Data Operations (PDO) team.

Analytic Tools

Reveal

JUNE 24, 2025

Offer onboarding paths with clear documentation and embedded guides to ensure a seamless experience. It includes machine learning, advanced filtering, and a wide range of visualization tools. However, its embedding model is iFrame-based, which limits customization and performance compared to SDK-first solutions.

Embedded Analytics

UX Planet

JUNE 30, 2025

A deep dive into how artificial intelligence is shaping the next generation of financial user experiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificial intelligence (AI) as tomorrow’s experiment. Both the U.S.

Data Visualization

Userpilot

JUNE 1, 2025

BigQuery export: streams raw events into Google Cloud for custom SQL joins with CRM data and deeper machine-learning insights. Mobile dashboard template: flag version-specific bugs by grouping key metrics across app versions, device models, mobile platforms, and active-user counts. Mobile analytics software: Firebase.

Data Visualization

Arkenea

JUNE 27, 2025

Thus, the future healthcare landscape will likely boast the perfect blend of cutting-edge tech, including AI (artificial intelligence), ML (machine learning), blockchain, and more. Read on to learn the current SaaS market, Healthcare SaaS trends, and how you can develop a healthcare SaaS application.

Research Software

Crafty CTO

AUGUST 1, 2025

Hykes kicked things off with an adjustment to an Anthropic slide: An agent is an LLM wrecking its environment in a loop: If we’re just running one agent—things aren’t so bad. Three tips for detecting problems in AI-generated code: Things you can ask an LLM: Solid, practical advice all the way through.

Research Software

eG Innovations

MARCH 31, 2025

It also helps generate reports, track incidents, and document resolution activities, enabling organizations to meet the 72-hour follow-up deadline. When incidents or breaches occur, eG Enterprise provides detailed diagnostics and real-time insights into the root cause, helping organizations meet the 24-hour reporting requirement of NIS2.

Reporting Tools

Arkenea

JULY 9, 2025

In 2025, successful Epic implementation must address emerging requirements including artificial intelligence integration, cloud computing capabilities, and enhanced interoperability standards that have become essential for modern healthcare delivery. Epic’s flexibility supports most specialty needs through configuration.

Reporting Tools

Lenny Rachitsky

JUNE 24, 2025

There are many different types of AI models. Some, which focus on language—like ChatGPT o3 , Claude Sonnet 4 , Gemini 2.5 Pro , Meta Llama 4 , Grok 3 , DeepSeek , and Mistral —are known as large language models (LLMs). That’s why the name includes the word “language.”

Artificial Inteligence

Arkenea

JUNE 20, 2025

The integration of electronic signature capture and document management capabilities streamlines the registration process while ensuring compliance with healthcare regulations and consent requirements.

Data Visualization

Gainsight

MAY 9, 2025

Product Use Cases: Querying across diverse documents and resources that describe product capabilities and use cases, developing recommendations for a specific customer’s needs and their customer journey. AI analysis of customer data is faster and deeper than anything a human could accomplish.

Feedback Software

PMLesson's Ace the PM Interview

FEBRUARY 24, 2025

Interview Strategy Clarity and Efficiency: Focus on writing clean, well-documented code. Additionally, Spark provides a more user-friendly API and supports diverse workloads like batch processing, streaming, machine learning, and graph processing, while MapReduce is primarily designed for batch processing.

Data Visualization

Crafty CTO

JULY 30, 2025

I just finished my first deep dive with Claude Code, a Vision proof of concept that extracts handwritten data off clear plastic bags— filled plastic bags, that is … Claude Code and I started Friday, and by Monday we had a robust proof of concept, implemented in Python CLI form, including parallelized LLM calls and detailed documentation.

Artificial Inteligence

Arkenea

AUGUST 2, 2025

Modern assisted living technology encompasses artificial intelligence, connected devices, virtual reality experiences, advanced communication systems, and predictive analytics. Task management platforms ensure that care tasks are completed consistently and documented properly.

Reporting Tools

Modus Create

APRIL 25, 2025

Developers are still drowning in context switching, outdated documentation, and slow feedback loops. Today, AI and machine learning, when thoughtfully implemented, can give your DevEx a competitive advantage. Today, AI and machine learning, when thoughtfully implemented, can give your DevEx a competitive advantage.

Feedback Software

The Product Coalition

FEBRUARY 29, 2024

Let’s talk confidently about how to select the perfect LLM companion for your project. The AI landscape is buzzing with Large Language Models (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. They excel at crafting captivating content, translating languages, and summarizing information.

Artificial Inteligence

Arkenea

AUGUST 4, 2025

Comprehensive audit trails document every data change, supporting post-market surveillance and safety reporting requirements. Advanced systems incorporate artificial intelligence capabilities to predict missing values, identify potential data quality issues, and suggest corrections based on similar cases.

Data Visualization

Arkenea

AUGUST 1, 2025

This impacts the overall clinical trials, including documentation, data collection, calculations, etc. Title 21 is essential for documentation that requires signatures from higher authority and all research data. Documentation tracking helps to regulate status of clinical trial throughout its lifecycle.

Reporting Tools

Arkenea

AUGUST 1, 2025

AI-Driven Innovations Artificial intelligence technology is disrupting the clinical trial landscape in many ways. Apart from this, artificial intelligence plays a key role in automating tasks such as text categorization, stratifying corpora of words, or parsing. Let’s have a look at the top three.

Reporting Tools

Arkenea

AUGUST 2, 2025

Basic systems at the lower end provide essential documentation and billing functions, while premium solutions include advanced analytics, population health management, and specialty-specific workflows. Enterprise EHR systems designed for large practices and health systems range from $200 to $35,000 per provider annually.

Reporting Tools

Intercom, Inc.

SEPTEMBER 9, 2022

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.

Artificial Inteligence

Arkenea

MAY 12, 2025

Their detailed documentation and clear updates actually improved our internal processes. AI and Machine Learning Implementation From predictive analytics to natural language processing and computer vision, our AI specialists transform raw data into actionable business intelligence and automated processes.

Reporting Tools

The Product Coalition

APRIL 11, 2022

According to Gartner , 85% of machine learning solutions fail because they use raw data. Data scientists work in isolation from operations specialists, and enterprises spend up to three months deploying an ML model. In this article, we will tell you what MLOps is and why businesses need to implement machine learning solutions.

Artificial Inteligence

Intercom, Inc.

JUNE 22, 2018

It’s easy to believe that machine learning is hard. After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. Indeed, the majority of literature on machine learning is riddled with complex notation, formulae and superfluous language.

Artificial Inteligence

Arkenea

JUNE 9, 2025

C-CDA C-CDA (Consolidated-Clinical Document Architecture) was created by HL7, ONC (Office of National Coordinator for Health Information Technology), HIE (Integrating the Healthcare Environment), and the Health Story Project. HL7 states that C-CDA provides a library of templates and prescribes their use for specific document types.

Reporting Tools

Product Innovation Educators

OCTOBER 14, 2024

AI can help in many parts of making a product, from research to writing product plans and documents. We’re talking about how artificial intelligence (AI) is changing the way we manage products and come up with new ideas. Brian has been working for 15 years in different industries like finance, healthcare, and technology.

Artificial Inteligence

Arkenea

JUNE 23, 2025

Unlike conventional AI models that rely solely on their training data, RAG combines the power of large language models with real time information retrieval from your organization’s specific databases and documents.

Healthcare

The Product Coalition

DECEMBER 21, 2021

Here’s our story how we’re developing a product using machine learning and neural networks to boost translation and localization Artificial intelligence and its applications are one of the most sensational topics in the IT field. There are also a lot of misconceptions surrounding the term “artificial intelligence” itself.

Artificial Inteligence

The Product Coalition

FEBRUARY 28, 2022

Important metrics to assemble for the predictive model The best way to detect cart abandon incidents is to assemble all business level KPIs and data points to train to a machine learning system and analyse the patterns that exist. Did the user click on the help documentation? That is the beauty of machine learning.

Artificial Inteligence

Mind the Product

NOVEMBER 22, 2019

In this thought-provoking keynote from #mtpcon London, Google Scholar and UN Advisor Kriti Sharma discusses the impact of artificial intelligence on decision making and what we, as product people, should be doing to ensure this decision making is ethical and fair. Key Points. Avoiding bias relies upon better understanding the user.

Artificial Inteligence

Mind the Product

APRIL 25, 2023

A step-by-step guide to generating accurate marketing materials with your existing product documentation and AI. Read more » The post How to use existing product documentation to generate marketing materials using AI appeared first on Mind the Product.

Document

Userpilot

MAY 10, 2023

Apart from artificial intelligence itself, AI is often referred to as Deep Learning and Machine Learning (ML) technologies and Natural Language Processing (NLP). Technical specifications AI can automate the generation of technical documentation to ensure consistency and accuracy.

Artificial Inteligence

TechEmpower - Product Management

OCTOBER 9, 2023

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

Artificial Inteligence

Userpilot

NOVEMBER 2, 2022

The use of artificial intelligence can be an invaluable tool for improving support without putting too many resources at risk. The different types of AI used in customer service include object detection, AI-powered customer service chatbots , natural language processing, and machine learning. Machine Learning.

Artificial Inteligence