In Parts 1 thru 4 EkaLore looked at an overview of Adobe’s continued overhaul of its products and services by applying Artificial Intelligence (AI) to speed how work gets done. Examples of how these features look at the marketplace in Part 2 were followed by a look at how the marketplace has been changed and will change in Part 3. Part 4 looked at how these new features enable process-level changes at-scale, and for small-medium-enterprises, saving money, speeding up efforts, and setting people up to make decisions. Part 5 looks at a level deeper: what enterprises (small to colossal) will act on to save money, gain process speed, and add functions not previously practical. Parts 6 and 7 are a perspective of what Adobe invading their own market will mean across functions and industries. Parts 8 and 9 pull together the most important points from the series.
Adobe presents itself as putting the Artificial Intelligence (AI) into their products and services to benefit its stakeholders. (Users, enterprises, tech eco-system, itself and its shareholders)
The previous generations of work were done “on the computer”. The business-cases justifying AI-featured software suites, like Adobe’s, will be matched by enterprise decision making “in the computer”. The more work is moved “in the computer” (like accounting transactions performed automatically in an ERP eliminating clerical data entry) the greater enterprise gains will be. Process agility, production meets intense demands, and “fail-fast enough to not matter” empower enterprises to use gains to grow bigger gains. The more this is “in the computer” (for example, online ecommerce rather than sales staff talking to prospects one at a time) the greater the value of AI-featured software.
AI features see the edge of practice in current offerings:
generative graphics/text,
automated language translation support for interfaces and processes,
generative graphics using transparent training feeds,
example-based-search for images,
text-to-complex agents user interfaces,
speech-to-text-to-speech interface enabling,
process automation using complex elements and agents,
“chatty” help features and training materials,
… and more.
The analysis shows many software vendors adopting many of the same features in their marketspaces and tech eco-systems. The competition is for “share of mind” and market. The gains for each stakeholder (besides Adobe and other vendors) will depend if real gains are made (process speed, costs reduced, productivity gained) in Real World Artificial Intelligence. Fancy features won’t sustain revenue, and the interests of stakeholders, if the gains prove illusionary.
The stakeholders will also suffer pains from Adobe’s strategies. All software vendors embracing real gains will inflict pain on their tech eco-system.
A simple illustration is ease-of-deployment. A simple deployment and stand-up process reduces the work, and profits, of the service enterprises (and talent). The revenue has gone to benefit services executing the one-time data/process migration, process re-engineering, and talent upgrades in prior generations (even inhouse). ERP Suites and Health Care Suites generate costs (revenues) in the hundreds of millions in transition projects needing thousands of talents. Simplified startup will increase the depth of engagement for software vendors – while their eco-systems will be compelled to become more efficient and effective (inevitably reducing headcount while increasing training and skilling costs).
In Part 9 EkaLore will complete pulling together the most important points of our series.
For more information about Real World Artificial Intelligence and Alien Invaders see http://www.ekalore.com
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