Agile Analysis Artificial Inteligence Software Engineering 
Tullio Siragusa
APRIL 15, 2024
This model is particularly beneficial for startups and small to medium-sized enterprises (SMEs) that require strategic leadership but may not have the resources to support a full-time executive position. Generative AI refers to algorithms that can learn from data and generate original content, be it text, code, or strategic plans.
Tullio Siragusa
DECEMBER 4, 2023
Transforming Challenges into Strategic Opportunities: The Power of Force Field Analysis and OKRs In the ever-evolving terrain of business, leaders constantly seek the alchemy that turns challenges into strategic opportunities. It provides a framework for identifying the forces that either drive progress toward a goal or hold it back.
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Tullio Siragusa
AUGUST 7, 2023
Being able to react quickly to changes in the market or customer needs ensures that opportunities are not lost to more agile competitors. The lessons learned can be applied directly to the sales process, reducing procrastination and over-analysis. Aligning with Market Dynamics: The pace of business is ever-increasing.
Planview
MARCH 29, 2024
Though engineering metrics are helpful, they do not fully reflect the interconnectedness of software delivery value streams. Without contextual insights, engineering leaders cannot accurately weigh the risks and benefits of their decisions. Software Engineering Intelligence (SEI) platforms fill the contextual gap.
Innovation 360 Group
SEPTEMBER 17, 2019
The industry will need to add manufacturing software engineers, robotics specialists, machine learning specialists, automated systems engineers, cybersecurity specialists as well as designers, product engineers, developers, analysts, pricing strategists and procurement specialists, many of which are forecast to be in short supply in years ahead.
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