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HubSpot and Shopify Are Both Going More Enterprise. But Also — More SMB.

SaaStr

So two of the great leaders in SMB SaaS, Shopify for e-commerce, and HubSpot for sales, marketing and more, are going more upmarket: HubSpot 100+ seat deals are up 55% Shopify now gets 31% of its revenue from “Plus” or its bigger brands and more enterprise product And yet … they are also both going more SMB as well!

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Okta’s Playbook to PLG, Developer Experience, and Enterprise ARR

SaaStr

Okta’s VP of Engineering, Monica Bajaj, and Senior Director of Platform Product Marketing, Priya Ramamurthi, share Okta’s playbook to PLG, developer experience, and Enterprise ARR. What does scaling Enterprise ARR mean? The Enterprise Funnel Finally, it’s time to scale as your experts become advocates and champions.

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Dear SaaStr: How Do Enterprise SaaS Companies Deal With Late Payments?

SaaStr

Dear SaaStr: How Do Enterprise SaaS Companies Deal With Late Payments? image from here ) The post Dear SaaStr: How Do Enterprise SaaS Companies Deal With Late Payments? Yes, in the end, you have to be willing to switch off the platform. But do it gracefully, with respect. But were we treated the way you’d want to be treated?

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Dear SaaStr: When Is It Too Soon to Target Enterprise Customers in SaaS?

SaaStr

Dear SaaStr: When Is It Too Soon to Target Enterprise Customers in SaaS? It too soon to target enterprise clients when you can’t support their needs 90 days after you close them. Enterprise customers will even sign contracts agreeing to buy so long as you implement a key feature with X number of days.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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How Enterprise Companies are Buying AI (or Not) with ContextualAI, Anthropic, Glean, and Unusual Ventures

SaaStr

At Saastr Annual, we hosted an Enterprise panel of AI leaders to share their experience and knowledge to help others understand how big companies think about and leverage AI. While the first generation of Generative AI is great, it’s not quite ready to solve Enterprise problems. What Are Enterprises Most Excited About Using AI For?

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Going Upmarket and “More Enterprise” is Great. But Don’t Let It Be an Excuse to Hide From Slowing Customer Growth.

SaaStr

So this may seem like a pretty specific post, but it’s a big and real issue I see so, so often these today in SaaS companies at scale, from $20m-$200m+ ARR: They’re reacting to tougher times by going “more enterprise” That can make a lot of sense. I hear this again and again. Which makes them even more valuable.

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.

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PayFac vs. ISO: What Is the Optimal Integrated Payment Strategy in SaaS?

Understand the nuances of speedy onboarding with PayFacs and the enterprise value advantages of ISOs. Our comprehensive article delves into the merits and challenges of Payment Facilitators (PayFac) versus Independent Sales Organization (ISO) registration. Delve deeper into issues of scalability, compliance, and setup.

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AI in Manufacturing

In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Their problems and needs don’t change, but the technology and solutions do. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency.

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The Business Value of MLOps

Download the report to find out: How enterprises in various industries are using MLOps capabilities. Our report, The Business Value of MLOps by Thomas Davenport, highlights some of the most impactful benefits of MLOps tools and processes for different types of organizations. Which organizational challenges affect MLOps implementations.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.

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5 Things a Data Scientist Can Do to Stay Current

Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises, with tips such as: Using automated machine learning (AutoML) frameworks to enhance productivity. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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A Guide to Online Communities for Enterprise Organizations

This guide will provide you with an overview of what procuring an online community can do for enterprise organizations, including: How community compliments enterprise priorities. Crucial enterprise community features to look for when assessing vendors. Strategic community programs that drive enterprise community success.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.