Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore the concept of Generative AI.
To modernize how organizations do business worldwide, they are adopting AI along with digital technologies. By doing so, companies strive to enhance productivity and efficiency and innovate new customer and employee experiences that will improve competitiveness. Organizations and their leaders must adopt a transformational and holistic mindset to succeed. They need a digital transformation that solves customer experience for multiple service queries.
While organizations have been moving to modernize their IT infrastructures by adopting cloud-native Kubernetes technologies, the pandemic helped accelerate this movement. The surge in cloud services adoption during the lockdowns emphasized the need for organizations to make their business and technology models more agile.
We are presently living in an age of “artificial intelligence” — but not how the companies selling “AI” would have you believe.
Leading organizations around the world are adopting cloud-native technologies to build next-generation products because cloud native gives them the agility that they need to stay ahead of their competition. Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation, and that is artificial intelligence (AI) and its subset, machine learning (ML).
Over the last two years a series of unexpected events has scrambled global supply chains. Coronavirus, war in Ukraine, Brexit and a container ship wedged in the Suez Canal have combined to delay deliveries of everything from bicycles to pet food. In response, a growing group of startups and established logistics firms has created a multi-billion dollar industry applying the latest technology to help businesses minimize the disruption.
