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Maximizing Efficiency & Productivity: 3 Ways GenAI Optimizes Value Stream Management for Tech Leaders 

Planview

It’s no surprise the abundance of moving parts contributes to an ever-ambiguous world for software delivery. With a multitude of products and services that companies serve to customers, the recognition of Value Stream Management (VSM) in modern software delivery has never been stronger.

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My 5 S for future Innovation: Smart, Stacks, Scale, Storage, and Software

Paul Hobcraft

Recently, I got caught up in some announcement by Siemens, where they announced the acquisition of Mendix, the Low-Code providers, for the explicit purpose to combine Mendix with Siemens MindSphere, claiming it has the potential to cover off all elements of the Smart App Stack. That got my attention.

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Revolutionizing Sales Pipeline Management with Artificial Intelligence

Tullio Siragusa

Revolutionizing Sales Pipeline Management with Artificial Intelligence. Artificial intelligence (AI) has the potential to revolutionize the way sales teams manage their pipeline. This can be a time-consuming task for sales teams, as they need to manually review and score each lead. AI-powered Contract Reviews.

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Guidelines For Hiring the Best Software Developers

The Human Factor

This raises the difficulty of finding the top software engineers for a business given that many are bootstrapped and some are sponsored. All companies are now fundamentally tech companies, and employing software engineers is now a crucial task that greatly affects a startup’s long-term performance.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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The Importance of Staying Scrappy in an AI-Driven Era

Tullio Siragusa

The Importance of Staying Scrappy in an AI-Driven Era In an age of rapid technological advancements, companies everywhere are embracing artificial intelligence (AI) and automation to modernize their operations. Large enterprises often lose their agility due to organizational inertia and bureaucracy.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.