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Innovating in the digital age- a terrific report

Paul Hobcraft

The report from Arthur D Little “ Innovating in the digital age- a cross-industry exploration ” has to be the one report that really stands out for me from this year. digital solutions that improve and accelerate collaboration, communication, and learning. I highly recommend it. Copyright © Arthur D. Little 2018.

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Driving Innovation: Proven Strategies for Fostering Team Collaboration

Leapfrogging

Higher Employee Engagement Teams that work collaboratively often report higher levels of engagement and job satisfaction. Better Learning Opportunities Team members can learn from one another, acquiring new skills and knowledge that contribute to professional growth. Instant messaging Quick updates and clarifications.

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Application of advanced analytics and machine learning in the banking industry

hackerearth

According to the Global Banking Outlook 2018 study conducted by Ernst & Young, 60-80% of the banks are planning to increase investment in data and analytics and 40-60% plan to increase investment in machine learning. Analytics and machine learning on their own are mere buzzwords. The pioneers are already reaping the rewards.

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Harnessing the Power: Proven Team Collaboration Best Practices

Leapfrogging

Share both successes and challenges openly to learn from each experience. The selection of an appropriate platform should be based on the team’s specific needs, including factors such as the size of the team, the complexity of the projects, and the level of reporting required.

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Modern Data Architecture for Embedded Analytics

Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. You’ll learn: 7 approaches to data architecture for embedded analytics—from a transactional database to a columnar or in memory database. 9 questions to ask yourself when planning your ideal architecture.

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Why we should focus on Innovation Governance

Paul Hobcraft

Often innovation governance gets caught up in the (life-threatening) aspects of governance’s need to have reporting, metrics, reporting and accountability dominating. In any prototyping or learning stage we can move knowledge understanding along but to keep believing and pushing is simply hard.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

Machine learning algorithms can sift through vast amounts of user interactions, feedback, and behaviors, identifying patterns and trends that might go unnoticed by human researchers. Behavior Analysis Machine Learning Quantitative analysis of user engagement patterns.