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Why product management in the enterprise is different

Mind the Product

In this guest post, Hazel Raoult delves into the key differences for product managers working in enterprise businesses. [.] Read more » The post Why product management in the enterprise is different appeared first on Mind the Product.

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API Opportunity for Enterprise

The Product Coalition

APIs strategically essential for building enterprise value Traffic data doesn’t always correlate to enterprise strategy or value, but in this case the importance of APIs is also found in analysis of the relationship APIs have to strategy. Originally published at [link] on October 12, 2022.

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The enterprise love affair with GitHub cloud

Modus Create

Its popularity among enterprises is particularly astounding. As an official partner, we frequently receive requests for implementing GitHub solutions at enterprises — from GitHub Actions to GHAS. Centralized user management A major reason behind enterprises moving to the GitHub cloud is to get more control over their user accounts.

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Navigating product management: Startup, SME and Enterprise

Mind the Product

In this Prioritised member session, Product Leader and Director of the Association of Product Professionals, Anthony Murphy, shares key insights into dealing with product in organisations at different stages, from startups to large enterprises.

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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

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. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value.

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Challenges of product in enterprise organisations – Daniel Elizalde on The Product Experience

Mind the Product

Read more » The post Challenges of product in enterprise organisations – Daniel Elizalde on The Product Experience appeared first on Mind the Product. How can product managers channel their inner creative thoughts while collaborating effectively in large organisations?

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How to be successful in enterprise software management by Thomas Otter

Mind the Product

In this ProductTank Heidelberg talk, Thomas Otter, Founder at Otter Advisory, explains some of the differences between enterprise and consumer software, and shares some tips for success in enterprise product management. [.]

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How an Enterprise CTO Boosted Uptime From 99.9% to 99.99%

In this eBook from Datadog, Orderbird CTO Frank Schlesinger tells the story of the company’s journey from 99.9% uptime to 99.99% uptime. He explains why this seemingly small improvement is actually a major leap and describes the five key steps to get there.

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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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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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The Top 5 Business Outcomes Companies Can Achieve From Monitoring Consolidation

Through assessments, Datadog has distilled the top five business outcomes organizations see when leveraging Datadog’s observability platform, like increased customer conversion, and what this could mean for other enterprise organizations.

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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.