This high-level overview of AI will unpack the various ways it can work, what it can and can’t do, and its implications for the present and future of business and society.

Go

Generative AI is a type of artificial intelligence that creates new content, such as text, images, or audio, by analyzing vast amounts of data. Explore our resources that help you better understand the inner workings of generative AI and discover how it can fuel your creative thinking and productivity.

Go

Machine learning (ML) is a subset of AI that enables computers to learn from data rather than through explicit programming. Explore the technologies driving today’s AI breakthroughs. Learn how these fields contribute to the ongoing evolution of artificial intelligence—from enhancing communication to powering autonomous systems.

Go

Deep learning is a subset of machine learning that uses multilayered neural networks to recognize complex patterns in large datasets. Uncover the building blocks of deep learning, from convolutional and recurrent layers, to transformers and attention mechanisms.

Go

Hosts Paul Roetzer and Mike Kaput of the Marketing AI Institute break down all the AI news that matters and give you insights and perspectives that you can use to advance your company and your career.

This podcast is here to help your business grow smarter by making AI approachable and actionable.

Go

Workplace productivity is at a breaking point. Explore Grammarly’s fourth annual report for insights on how to leverage AI for enterprise-wide communication gains and redirect busyness to outcome-focused productivity.

Go

The latest McKinsey Global Survey on AI finds that organizations are beginning to take steps that drive bottom-line impact. The findings also show that organizations are working to mitigate a growing set of AI risks and are hiring for new AI-related roles while improving the AI literacy of their workforce.

Go

This AI Shortlist is your quick-reference guide to the top trends set to reshape your strategy, empowering you to make the best decisions for your business, workforce, and customers. In minutes, gain insights into the trends that matter, anticipate their impact, and take actionable steps to prepare your organization.

Go

AI’s influence on society has never been more pronounced. The AI Index offers one of the most comprehensive, data-driven views of artificial intelligence. Recognized as a trusted resource, the AI Index equips business leaders with insights into AI’s technical progress, economic influence, and societal impact.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.

Go

This executive briefing, grounded in insights from enterprise employees and leaders, uncovers how AI-powered communication is transforming business outcomes for large organizations. Executive leaders will gain actionable insights into the challenges they must tackle first, including communication inefficiencies, AI literacy gaps, and shadow AI.

Go

Marketing teams are early AI adopters, but many are missing out on its full potential. In this report, you’ll discover how marketers are using AI today—and where there are gaps; the biggest opportunities to integrate AI for efficiency and effectiveness; and how Grammarly helps teams work smarter, communicate better, and create faster.

Go

Customer support teams communicate more than ever, but rising workloads and real-time demands make it harder to keep up. AI will transform CX—helping support agents respond faster, reduce workload, and improve customer outcomes—but many teams still struggle to adopt it. Uncover how AI is reshaping customer support and what leaders can do to drive efficiency, consistency, and productivity.

Go

Given the highly individualized nature of the sales process and the large amounts of data that sales teams obtain across platforms, AI-powered tools have become increasingly critical across the entire process. This article breaks down the benefits of using AI for sales prospecting, use cases for AI in the sales prospecting process, and seven steps and best practices to transform sales prospecting with AI.

Go

IT teams are ready to move beyond AI pilots to start seeing real impact from their AI tech stack. Before they scale, they need a clear strategy for ROI measurement. Without a way to measure success, businesses find themselves stuck in pilot purgatory. This playbook offers CIOs a data-driven approach to move beyond pilots, enabling them to quickly and confidently assess which AI tools to keep, reject, or scale based on measurable business value.

Go

Multilingual workers face unique communication challenges that cost time and clarity. AI is changing that. This report explores how AI empowers multilingual teams, highlights adoption gaps, and offers strategies for organizations to help employees work more efficiently and communicate more fluently.

Go

This planner outlines the four key elements of any AI strategy: vision, value, adoption, and risks. Download this to learn how to spot strategic opportunities, remove barriers to value, assess and mitigate risks, and prioritize AI use cases based on business impact and feasibility.

Go

Learn how to unlock enterprise-wide gen AI adoption. This guide covers the critical role of AI literacy, the five stages of adoption, the gaps holding you back, and five steps to move forward. Equip your teams to speak the new language of business—and turn AI from a tech upgrade into a competitive advantage.

Go

Every employee at your company is likely in a different phase of AI literacy. If your company aims to continue on its path of AI adoption, it’s critical to start by ensuring your workforce has an equitable AI skillset. This article breaks down four key concepts that help explain where employees might be in their journey of AI literacy and uncovers crucial AI literacy gaps to address between levels, functions, and generations.

Go

Every business is at a different starting point with AI. Those slower to adopt likely feel behind, especially if they are still avoiding the technology altogether. No matter where you are in your journey, if you want to achieve enterprise-wide adoption, the best place to begin is with AI literacy. Read on to get the roadmap to equip your workforce with the resources to achieve AI literacy—and prepare your business to enter the next stage of AI adoption.

Go

AI adoption is accelerating across industries, yet many business leaders still struggle with a fundamental challenge: measuring its success. Quantifying AI's impact can feel like hitting a moving target. We surveyed 250+ business leaders to understand how organizations evaluate AI’s return on investment (ROI). The findings reveal that while AI is driving meaningful outcomes, there is no single measure of success that captures AI’s full impact.

Go

To help security leaders safely and ethically deploy AI, we are excited to share Grammarly's responsible AI framework detailing our unique approach to building AI responsibly. With these guidelines for ethical innovation, you will be better positioned to enhance the AI capabilities throughout your organization, fortify your security posture, uphold the highest ethical standards, and gain a competitive advantage in today's competitive market.

Go

While using AI in the enterprise has become increasingly commonplace, integrating it effectively while minimizing risks can pose a challenge. For functional leaders, it’s crucial to understand how to incorporate AI into your team’s operations. When responsible AI principles guide your approach, you can ensure that the AI your teams use is both effective and ethical. Learn how leaders in various functions should consider integrating AI responsibly.

Go

Hear from Grammarly’s Head of Governance, Risk, and Compliance, Alan Luk, and Senior Product Council, Scout Moran, as they cover everything you need to know to navigate AI compliance. They lay out the current AI standards impacting companies today, forecast the regulations that may soon affect businesses, and help leaders prioritize their efforts depending on where they stand in their path to AI adoption and deployment.

Go

Download this report to understand the responsible AI landscape, a breakdown of global AI regulations, AI risks to consider, enterprise AI security considerations, challenges in ethical AI, and public sentiment on AI. Stay ahead of the curve. Don’t let AI risks hinder your organization’s success.

Go

Grammarly’s monthly newsletter is focused on promoting and advancing responsible AI by sharing what you need to know about navigating it for your business. Subscribe today to get a curated list of responsible AI resources, insights from industry experts and thought leaders, and the latest industry news on AI compliance, ethics, laws, and regulations.

Go

This framework helps organizations build trustworthy AI by guiding responsible design, development, deployment, and use. It's practical, adaptable to evolving technologies, and designed for flexible adoption, enabling society to benefit from AI while minimizing potential harms.

Go

Deloitte’s analysis of their Global Future of Cyber Survey highlights eight gen AI risks—from hallucinations to social engineering to governance gaps. Explore each category to understand the implications and strategies to help manage them.

Go

Your trust is at the heart of everything we do at Grammarly. That’s why we’ve always pledged to do right by our users with best-in-class security practices that keep data private and protected and a commitment to safe, responsible AI innovation. Explore the measures we take to safeguard your data and trust.

Go

Grammarly is both a user and a provider of AI, which means we understand the nuanced challenges of selecting and adopting safe and effective AI. We are proud to share our expertise and learnings in this detailed framework for choosing secure, high-quality AI partners. Use this framework to ensure AI is a competitive advantage and not a business risk.

Go

This enterprise AI security kit equips you with essential resources—from 24 key vendor questions to safe deployment frameworks and a five-stage adoption roadmap—to guide successful, responsible AI implementation.
Go

According to the G2 State of Software Report, AI writing assistants are the fastest-growing category in the AI market. View G2’s list of the best AI writing assistants and apps for businesses to cut through the noise and find the best AI assistant for your enterprise. 

Go

This guide walks you through the key considerations for deploying AI beyond just ChatGPT or Claude, breaking down the layers of adoption, and helping you navigate the complexities of choosing the right tools and strategies for your enterprise.

Go

Successful AI adoption starts with a clear vision, strong buy-in, and a smart approach to risks. This guide helps you plan, build a winning business case, and choose the right solution to scale securely with your workforce’s needs

Go

Choosing the right AI tool starts with asking the right questions. To help, we created 24 key questions to ask any AI vendor before you buy. This article breaks down the essential topics and questions to guide your evaluation.

Go

Where is your business on the path to enterprise-wide AI adoption? Take this five-minute quiz to pinpoint your stage, uncover what’s holding you back, and get actionable next steps to move forward.

Go