How many employees have ever asked IT to collect more analytics? The answer, as you might have guessed, is somewhere around zero. Yet, IT is constantly collecting data with evermore zeal, believing it is the best way to measure their value and offset threats to budgets.
Industrial companies are embracing artificial intelligence (AI) as part of the fourth digital revolution. AI leverages big data; it promises new insights that derive from applying machine learning to datasets with more variables, longer timescales, and higher granularity than ever
Eleven years ago, an Office of Management and Budget memo pushed the concepts of Agile and DevOps into the mainstream government consciousness by stating that “the Federal Government has not taken full advantage of this transformation due to poor management of its technology investments.” The promise of Agile DevOps was to get value from digital solutions faster, enable flexibility to support changing priorities, and adapt to future business needs.
Business leaders can better assess and strengthen analytical frameworks using seven evaluation criteria.
Before the COVID-19 pandemic, flexible work was a benefit that a lucky few employees, or especially innovative employers, had the luxury of experiencing. Yet within a year, lockdowns leaving little choice but to work from home has changed the way we think.
In the past year of navigating an unprecedented pandemic, organizations across all industries were forced to pivot their business and operating models to adapt to rapid technological change. Many companies quickly started investing in and practicing Agile development methods.
With the mounting evidence of cloud’s ability to drive significant business value , more and more companies are considering cloud’s role in fundamentally reshaping the competitive posture of their business
Over the past decade, advances in digital analytics have transformed the way businesses operate. From marketing and pricing to customer service and manufacturing, advanced analytics is now central to many corporate functions. The same, however, cannot be said for strategy—at least not yet.
While many things get better with age – like cheese and wine – software often does not. Systems sometimes become too obsolete to function within existing workflows (like Adobe Flash Player), and finding the talent and expertise to maintain older systems is becoming more and more difficult.
Speed and scalability are critical when building new businesses, with the accelerating pace of change creating a winner-take-all dynamic in many markets. Most digital-first start-ups have rapidly gained a lasting competitive advantage by incorporating new technologies that enable them to innovate and scale quickly.
Design thinking is a development methodology that focuses on cognitive, practical and strategic elements of the design process to ultimately lead to better development. Design thinking’s main goal is to improve future development with products and services that are desirable, viable and feasible for users.
