Tullio Siragusa

MARCH 6, 2023

Creating a Unified Future with Design Thinking: How to Align Sales and Marketing After M&A Post-merger and acquisition integration can be a complex and challenging process. In contrast, Design Thinking takes a collaborative and iterative approach that involves empathy, experimentation, and continuous improvement.

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Tullio Siragusa

NOVEMBER 28, 2022

Design Thinking for Startup Sales Success: A Step-by-Step Guide. By following these steps, you can create a successful sales environment that will help your start-up grow, but you can go deeper and truly differentiate yourself by applying Design Thinking to key steps to help your startup thrive.

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Tullio Siragusa

APRIL 15, 2024

This technology has become a crucial tool for fractional executives, as it allows for the automation of routine tasks, data analysis, and even decision-making processes, thus amplifying their efficiency and effectiveness. For internal data, AI tools can analyze historical performance, employee feedback, and operational efficiency metrics.

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Tullio Siragusa

JULY 17, 2023

This shift requires new skills like programming and systems analysis, which has spurred an increase in demand for these roles. Beyond the factory floor, AI is reshaping the manufacturing industry by creating jobs in fields like AI programming, robot coordination, and systems analysis.

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Tullio Siragusa

APRIL 10, 2023

Companies should also embrace a culture of lifelong learning and encourage employees to develop skills in areas such as data analysis, programming, and digital literacy. Collaboration platforms like Slack or Asana allow for real-time communication and project management.

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Tullio Siragusa

AUGUST 21, 2023

It’s a critical skill for leaders, who must navigate complex interpersonal dynamics, foster collaboration, and build strong relationships. Another application of AI is the analysis of communication patterns within an organization. The question then arises: can AI help leaders level up their EQ?

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Tullio Siragusa

MAY 8, 2023

As AI algorithms continue to improve and more data becomes available for analysis, the potential for discovering new cures will only increase. Sharing data, knowledge, and resources can help to drive innovation and ensure that the benefits of AI-driven drug discovery are accessible to all.

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