Surging numbers of data applications - from" machine-to-machine" generation (M2M) to Articial Intelligence (AI) - are like a tidal wave pulling a very long supply chain in its slipstream
- Data Centers - Exponential Demand Growth
- Data Centers - Infrastructure Challenges
- Networks and Fiber Optics
- Cloud - Data Architecture Applications
The theme, ‘Data – Enterprise Platforms’, could be compared to the tip of the iceberg of business applications
Setting aside data behemoths Apple with its recently announced Apple Intelligence, Microsoft, Google and Meta, an infinite number of solutions are catering to specific business demands, mirroring the increasing fragmentation of enterprise organizations
Business success will be measured by the efficiency in bringing together the data applications as pieces of an industry-wide puzzle
For the ‘Enterprise Platforms’ theme, sampling a representative selection of software solutions which have branched out in multiple subcategories is not a realistic proposition
Data apps embrace the global business community in its immense variety
- Financial Data Analytics
- Human Relations, Pay Roll and Recruitment
- Business Applications
- Insurance
- Industrial Analytics
- Security Networks
- Healthcare, Diagnostics and Gene Editing
and the list goes on
What stands out, and is believed to be critical in the evaluation of enterprise software powered by AI, is privileged access to specialized data
Each company in the selection scores high on the benefits of their monetization