Today, applications must scale rapidly, and users need increasingly faster access to complex data. It takes precise planning and execution to build a standards-based infrastructure
According to the industry definition, the Internet of Things (IoT) are physical objects capable of sharing information via networks with us and with each other.
This new era of digitalization and technological advancement represents a major shift for every business on earth, including manufacturers.
Manufacturers, large or small, buy systems like ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), and MIS (Manufacturing Information System) to manage their business better,
In today’s digital economy, technology is the key to success in any size organization.
In today’s fast-moving digital ecosystem, organizations have grand ambitions. The question for most leaders is whether their technology is moving fast enough to realize their
Generative (Gen) AI for business use is here and continues to evolve rapidly. According to PWC, “The openness to tap into the power of generative AI will likely only continue to grow with an estimated 15.7 trillion dollars of potential contribution to the global economy by 2030.
The last four years have forced small and midsize enterprises to adapt and execute a technology transformation roadmap so their businesses can survive, operate, and thrive in this new digital economy.
Living through a pandemic has changed both businesses and social behaviors. For midsize enterprises (MSE), this has brought the adaptation of digital business.
Technology due diligence has always been essential to the M&A due diligence process. Most technology diligence focuses on uncovering red flags and avoiding unwanted surprises post-acquisition.