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 its own market will mean across functions and industries.
Adobe's success is the success of its tech eco-system to provide compelling gains for customers. The initiatives and continuing work to capture those gains start with business cases predicting gains and justifying spend.
Business cases are justifications when the marketplace, perceived costs, and benefits can be clearly stated. Opportunistic business cases can dominate when time-limited scenarios work – like Zoom becoming mature during the Covid-19 pandemic lockdowns. Benefits-driven business cases see financial and operational advantages where risk-based decisions can drive spend – like ERP software suites taking over from fragmented solutions. Large-scale trends see adoption of business models and formats as entire industries transform – like web-based selling of groceries. Business cases can be decided for financial gains, market perceptions, internal politics, or operational advantages. The decision processes are messy, time consuming, and rarely as ‘clean’ as academics would have them. The data desired for business-case justifications are often bad, unsuitable, too little, or simply guessed. It's unclear yet if Adobe's new features and integrations will change any business cases due to gains.
Adobe needs to present its business-case justifications to the Real World Artificial Intelligence uses where production, process, and quality gains are tangible.
Software vendors have rushed to announce “AI integration” (such as with ChapGPT or other LLM’s) even though only marketing and some executives made-up the vague promises in the announcements. Vendors hoped their customers, and prospects, would take the vague statements to be an advantage for the future – without any Real World Artificial Intelligence details. Vendors, and development groups, with ongoing investigations to apply AI-techniques rushed to announce “me too”.
Not all favored projects will be wildly successful in the Real World (Microsoft Clippy (from Bob and Agent), Microsoft Cortana, IBM Watson for Healthcare, CA Neugents). Past insertions of Artificial Intelligence didn't always provide clear gains. Many other AI technologies developed into common functions expected in modern applications (voice recognition, handwriting-alternate keyboarding, text-to-speech-to-text, language translation, visualizations, agents). Software products (services) will continue to add functionality and features – some of which will be enabled and operate with Artificial Intelligence. A subset of software will successfully deploy Real World Artificial Intelligence delivering business advantages and operational benefits. Adobe's play to make Artificial Intelligence a key driver of gains will now be tested in actual use cases.
In Part 8 EkaLore will finish our look at Adobe invading their own market.
For more information about Real World Artificial Intelligence and Alien Invaders see http://www.ekalore.com
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