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Safeguarding our Digital Transformation Together

Business and Tech

From reduced IT costs and improved uptime, to increased agility and elasticity, to experiencing DevOps-friendly environments, according to recent research from the Cloud Security Alliance (CSA) and AlgoSec. . This trend is expected to persist all the way through 2024, Garter finds. Securing the cloud.

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DELIVERING SUCCESSFUL TRANSFORMATION AND CHANGE INITIATIVES

ImagineNation

Transformation and change initiatives are usually designed as strategic interventions, intending to advance an organisation’s growth, deliver increased shareholder value, build competitive advantage, or improve its speed and agility to respond to fast-changing industries, in a disruptive business environment.

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10 Things We’ve Learned From Deploying 400+ Enterprise Innovation Programs

PlanBox Innovation

This post delves into key learnings that have reshaped how businesses approach innovation, setting the stage for continual growth and adaptability. 7 – Continuous Learning and Adaptation Innovation is not a static process; it requires continuous learning and adaptation. A structured approach to innovation is critical.

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Top 10 yet2 Blog Posts of 2018

Yet2

Our team wrote a number of widely read blog posts in 2018, spanning the topics of artificial intelligence (AI) and machine learning, adjacency in tech scouting, startups and their comparative value proposition, anonymous searches in tech scouting and more. Tech Scouting Blog Posts. AI and Machine Learning Blog Posts.

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How Automation is Driving Efficiency Through the Last Mile of Reporting

Speaker: Jamie Eagan

As organizations strive for agility and efficiency, it's imperative for finance leaders to embrace innovative technologies and redefine traditional processes. 📅 April 24, 2024 at 11:00 am PT, 2:00 pm ET, 7:00 pm GMT

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Future-Fit Frontier: A Guide to Unlocking Transformative Innovation

PlanBox Innovation

Just as the dust settled, artificial intelligence (AI) emerged, demanding swift comprehension due to its pervasive applications in daily work and the potential to reshape entire markets and industries. Machine learning algorithms provide critical insights for strategic planning based on technological, political, economic, and social trends.