ML/AI, Low-Code/No-Code Hasten Commoditization of Software
What has been happening to spending on enterprise technology software applications since the middle of the third quarter, and what is the projection for that spending heading into the new year Will the advent of self-learning machines that perform repetitive tasks better and better drive an expansion of low-code/no-code application development that could hurt many kinds of traditional software application development? How could this affect the enterprise IT marketplace?
Report Date :
12/05/2022
Topic :
Tech Trends
Source Silos :
1) Executive sources in high-performance computing, artificial-intelligence and machine-learning software development, no-code/low-code application development, data management, migration and analytics, intelligent-systems integration, and data center networking. Fourteen sources are repeats from previous Tech Trends reports, and two are new sources in AI/ML development. Twelve sources are in the United States and four in the UK and European Union. Interviews were conducted throughout November
Sector :
Technology
Companies :
ADA.AX, AMZN, GOOG/GOOGL, IBM, INTC, MDB, MSFT, NVDA, ORCL, SAP, SMCI, SNOW, SPLK
Industry :
Information Software & Services
ML/AI, Low-Code/No-Code Hasten Commoditization of Software PDF