For over 200 years, manufacturing has been a longstanding pillar of progress for humankind. Now, manufacturing faces one of the most exciting, unmatched, and daunting
Artificial Intelligence (AI) is not a new concept, but organizations have started learning about and understanding its full potential in recent years. AI can drive
My previous blogs have discussed the history, definition, and hype around Generative AI (Artificial intelligence). Generative AI, a subset of artificial intelligence, involves systems that
While the future is uncertain, technology leaders must still identify and commit to strategic outcomes and initiatives. The immediate focus areas might differ depending on the organization’s size and stage.
Today’s economic uncertainty is driven by a combination of indicators never seen pre-pandemic. This has created an environment of doubt among technology leaders of midsize enterprises (MSE) on how to manage technology best in the future.
Every start-up and midsize enterprise must scale its software systems at some point. Developing a successful strategy to build or scale software systems to accelerate business growth demands a high-level understanding of the public cloud landscape by the leadership team.
Gartner states, “Seventy percent of enterprise workloads will be in the cloud by 2024, yet three out of four organizations do not have a fit-for-purpose
In this age, “every business is a software business,” which is becoming irrefutably true. Proper adaptation of DevOps in your organization can provide you with a competitive advantage.
Innovative organizations are using data as an asset to drive market differentiation and growth. Business success nowadays depends on Data and Analytics (D&A) capabilities that can scale with business ambitions.
Midsize organizations also have pressures from their business to deliver on technology.