Userpilot
NOVEMBER 7, 2024
Collect customer data to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion. Top customer success management platforms for mid-market and enterprise companies. Defining a customer success tool and other FAQs.
Userpilot
DECEMBER 18, 2024
Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Why UX analytics should go beyond quantitative data. Methods for collecting and analyzing UX data. UX analytics involves gathering, analyzing, and interpreting data about how users interact with your product or service.
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Intercom, Inc.
JULY 27, 2022
The scale of enterprise businesses makes them inherently complex – they rely on a suite of tools tailored for specific workflows. This is the fourth post in a content series exploring Intercom’s investment in supporting enterprises. As companies and their headcounts grow, so do their tech stacks. Explore other articles in the series.
Lenny Rachitsky
DECEMBER 29, 2024
He was also the first head of growth at Atlassian, where he led product for Jira Agile and built the first-ever B2B growth team. The best product managers go out of their way to prove themselves wrong, because finding the flaws in your thinking will lead to better decisions.
Advertiser: Data Robot
Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.
Product Innovation Educators
DECEMBER 16, 2024
Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
Productside
MARCH 4, 2025
Key topic #2 AIs Impact on Advertising How AI is transforming ad targeting, fraud detection, and campaign performance for small businesses and enterprise brands alike. Why Listen to This Episode?
Advertiser: Data Robot
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.
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.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Brought to you by Data Robot. Aligning AI to your business objectives. Identifying good use cases. Building trust in AI. Key questions for executives and leaders to answer about their AI strategy.
Advertiser: Data Robot
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.
Advertiser: Data Robot
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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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.
Advertiser: Data Robot
Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Unlock the power of open-source data management for long-term success
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