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Design Thinking for Social Innovation

Tullio Siragusa

Design Thinking for Social Innovation. Social innovation is a means to develop and implement innovative and effective solutions to solve environmental or social issues. . It is a new perspective that provides systematic and practical solutions that can be applied to ongoing social issues.

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25 years of Innovation- how has it evolved? Has it been successful?

Paul Hobcraft

Harnessing the Power of Data and Analytics: The rise of big data and analytics has transformed innovation by providing unprecedented insights into customer behaviour, market trends, and competitive landscapes. This has created a more distributed and collaborative innovation ecosystem.

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Unraveling the Blockchain Revolution: A Deep Dive into Its Promising Future

Tullio Siragusa

However, their potential extends far beyond digital art, with the capability to reshape how we handle Personally Identifiable Information (PII), Health Insurance Portability and Accountability Act (HIPAA) data, and credit card fraud. This unique feature makes NFTs a potential game-changer in the realm of personal data management and security.

Data 62
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Partha Mallikarjun

Innovation 360 Group

Partha Mallikarjun has more than 25 years of experience in leading, managing and delivering technology and process improvement projects in the Information Technolofy space. He has worked in Retail, Finance & Banking, Telecom and Healthcare sectors.

LEAN 40
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Key Technology Trends to Watch in 2023: From AI and 5G to Quantum Computing and Cybersecurity

Tullio Siragusa

The Trends Artificial Intelligence and Machine Learning AI and ML are expected to continue to be integrated into a wide range of industries, from healthcare to finance to retail, to improve efficiency and productivity. VR and AR technology have the potential to change the way we interact with computers and the world around us.

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Exploring High-Growth Opportunities in Software Engineering

Tullio Siragusa

Other opportunities include developing software for managing large amounts of data, such as customer data, sales data, and financial data, and creating decision support systems that help businesses make informed decisions based on this data. Optimizing the performance and scalability of AI and ML systems.

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Leveraging Design Thinking for IT-Business Alignment in Prioritizing Mission-Critical Needs

Tullio Siragusa

For example, in a healthcare company aiming to improve its patient portal, the IT team might focus on the portal’s security and uptime, while the business team prioritizes ease-of-use and information accessibility.