Articles
Intelligent process automation is different from the workflow automation of the early 2000s in several key areas. Learn more about what sets IPA apart from RPA.
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At a time when multiple major issues vie for our attention, where should technologists focus? I identify five areas for the year ahead.
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Hybrid workplaces come with their own unique challenges. Asking the right questions in the planning stage can set employers and employees up for success.
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For many reasons, women tend to be more hesitant to put themselves forward and attain professional eminence and recognition. How can we change this?
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Technical debt's repercussions can reverberate throughout a business, creating long-term issues. And let's be clear: we're not just talking about code here.
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Machine learning-based systems bring the potential for business growth, but also carry some challenges and risks. Being aware of the latter is the first step.
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Use the VDOCR model to build your ML implementation plan: Vision, Data, Organizational alignment, Change management and Revalidation.
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Most organizations are still at the point where machine learning as a technology remains in the realm of research and exploration.
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Geetika Tandon explores both the business value and cultural impact technology modernization has in her monthly column.
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Many of the measures enforced in response to the pandemic will continue to have a huge bearing on workplace practices, policies and behaviors in 2021.
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Above all, the past five years of digital transformation have taught us the importance of agility as businesses struggle to keep pace with change.
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Building a dynamic cloud strategy is about first understanding your existing IT portfolio and then taking smart decisions on migrating or rebuilding.
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Modern applications respond to four needs of the modern workplace: scalability, portability, resiliency and agility.
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Software development's evolution shows that segregating various parts of the industry is detrimental to the process and ultimately leads to an inferior product.
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