Ukubhalisa Umbhalo wonyaka we-2025. Nakuba ikakhulukazi ku-qualitative digital content, umbhalo inikeza imibuzo emikhulu yabasebudlelwane ku-AI. Akukho umuntu ufuna i-AI slope, futhi amabhizinisi abalulekile kakhulu ukukhuthaza izici ze-AI emaphaketheni ezitholakala zihlanganisa ngokushesha. Merriam-Webster Ngena ngemvume Waze-Webster Thola kanjani ukuxhumana kwe-Microsoft ku-AI features ukuthi ngokushesha kwenziwa memes rename inkampani ukuze Kuyinto kuphela iqembu elincinane le-Reddit nerds ebizwa, noma isampula sokukhuthaza kusuka kumadivayisi, noma i-combination ye-both. ikhaya Ukubuyekezwa ikhaya Ngaphezu kwalokho, ezinye izici ze-AI zibe zithakazelisayo. Umthamo we-product managers, CEOs, noma wonke umkhakha we-digital isazi ukuthi imikhiqizo yakho kuyimfuneko i-AI. Imikhiqizo Solve Imibuzo Ngiyazi ukuthi kubaluleke kakhulu lapho ukuguqulwa kwezobuchwepheshe zomuntu ngentambo. I-logic efanayo isetshenziselwa ukwakhiwa kwe-product yakho: ngokuvamile, izici ze-AI zihlanganisa kuphela ingxenye ye-product. Ngo-marketing terms, i-product iyiphi okuholela inkinga noma isidingo se-client. Ukukhishwa Resilience Ukukhishwa Resilience Iziqu ze-successful izidakamizwa zisebenza kahle, futhi ama-successful izidakamizwa zisebenza kahle. Kuyinto ngenxa ye-capability etholakalayo, futhi inkampani ebonakalayo inokufumana ingxenye yesi-value ukuguqulwa ngempumelelo. Kukhona izibonelo ze-AI features enikeza izinzuzo ezinhle zokuthuthukiswa kwebhizinisi ukwandisa i-value ye-product. Izicelo ze-Large Language Model (LLM) zokusebenza ekhukhwini izivakashi, ukulungiselela i-imeyili yebhizinisi, ukwakha imiklamo noma i-code prototype, ukunakekelwa kwebhizinisi ye-customer chatbots, kanye nezinye izicelo ezininzi ezivamile zihlabathi. Umphumela we-AI features iyatholakala futhi iyatholakala kuphela. Nangona kunjalo, izivakashi eziningi ze-AI ze-pilot akufanele ukunikezela imiphumela enhle. Umzekelo esisekelwe ngokuvamile ku-incapacity yokusungula imibuzo esiyingqayizivele kubasebenzisi noma abasebenzi, kodwa ngisho lapho lokhu kungenzeka, izivakashi ezingaphezu zihlanganisa. 
 
 
 
 
 
 
 Izinzuzo zobuchwepheshe. Iningi izici ze-AI zihlanganisa idatha emikhulu, ephezulu kanye nezidolobha ezithile. I-proxy servers ne-web scrapers yokufaka idatha efanayo zihlanganisa, futhi ukuhlanganiswa kwama-system eyenziwa kunzima isikhathi. I-Erosion ye-Trust. Ngezinye ama-hallucinations ezivamile ezivela ku-Critical Flows kungabangela ukuphazamiseka kwamakhasimende. Kuyinto eningi kakhulu kumakhemikhali e-finance, i-health kanye nezindawo ezinezinhlangano, kodwa zonke imikhiqizo kufuneka ukuqinisekisa ukuthi izici ze-AI zibonakalayo. Izinzuzo ze-privacy ye-Data. Ukudlulisela i-logs kanye ne-user data ku-API ye-third-party ikhiqiza ingozi yokufaka okungagunyaziwe noma ukuthatha idatha. Ezinye amabhizinisi zivame ukusetshenziswa kwezixhobo ze-AI ngezithombe ezinzima. Izinzuzo zokusungula. Ukukhiqizwa kwe-AI kungabangela ukhetho oluthile ye-User Experience (UX) ye-product okuyinto ayenzelwe ngenxa yayo. Abavela abathengisi ukubuyekeza ukuthi imikhiqizo yayo kanye nemikhiqizo yayo yokuqinisekisa inkampani ngokuvumelana nokukhiqizwa kwe-AI. Ukuhlolwa. Imiphumela ye-AI ye-generative emikhiqizo eyenziwe ku-inthanethi okuqhubekayo ukuze ukunceda imiphumela emibi, izixazululo ze-PR, izimo ze-legal, noma ezinye izimo. Izindlela ze-evaluation ziye zihlanganisa ukuthi i-AI ye-generative isebenza ngokufanele. I-Generative AI iyinto entsha kakhulu ukuthi izinzuzo ezininzi nezinkinga ezidlulile ziye zithunyelwe, ngakho-ke kunezimo ezengeziwe ezizayo ekusebenziseni. Izici zezi zophando akuyona ezintsha kumadivayisi ekubunjweni imikhiqizo yedijithali. Cishe ezinye izici, i-AI noma akuyona, kufuneka ukuhlangabezana nezimpendulo ezivamile. Umbala kuqukethe ukulawula izivakashi ezivela nge-AI label. Kukho kakhulu hype ezivela ekukhiqizeni kwe-AI ezisebenzisweni ukuthi amazwe zithunyelwe. I-FOMO ye-Competitive I-Fear of Missing Out (i-FOMO) isetshenziselwa ama-CEO kanye nama-decision makhuni kanye nama-consumers. Xa i-ChatGPT yasungulwa, izindlela ezininzi ezihlangene ngokucacileyo ziye zithunywe ukuze zithole ukubukeka kokufika. Ukushintshwa kwezinto ze-AI zihlanganisa isitimela sokushintshwa. Enye inkampani ibonise ukuhlanganiswa kwe-AI, futhi ezinye zihlanganisa nge-imeyile efanayo noma kuhlinzeka ukuthi imikhiqizo yayo ibonakalayo. Akufanele ukuthi isikhokelo se-feedback ingaba kuhlobene nezidingo zamakhasimende. Ukucaciswa kubonisa ukuthi inani elikhulu lwezimali izivikele ukhethe imikhiqizo ikakhulukazi ngenxa yayo izici ze-AI. Kuyinto enokutholakalayo ngenxa yama-investors, njengoba i-AI iye kwenziwa ekukhishweni lokukhula emakethe. Konke inkampani eyakhelwe yi-private noma i-venture-capital iyatholakala ngokushesha ukuhlangabezana nokuvumela ezinye izici ze-AI. Abathengisi bafuna izivumelwano ze-AI, futhi abanamakhasimende zihlola izivumelwano ze-AI. Ngaphandle kwalokho, inkampani kubonakala ukuphazamiseka kwe-technology enhle kakhulu kusukela ku-Internet. I-buzzword efanayo ifakwe ku-marketing njengezinkampani zihlanganisa ngokushesha i-automation esiyisisekelo noma i-machine learning workflows njengezinto ze-AI. Isimo se-buzzword ivumela ukuchithwa nokukhuthaza i-premium pricing, futhi kuze kube nenkinga, kusebenza. Yini Abasebenzisi Angathanda Imikhiqizo Nge-AI? Izifundo zibonisa ukuthi abantu abanikeze ukhethe imikhiqizo enezinto ezininzi, ngaphandle kokusebenzisa. Uma izindleko akuyona inkinga, abasebenzisi ngokuvamile ukhethe imikhiqizo enezingeni kakhulu, futhi i-AI label kuyinto isignali ekupheleni. Nangona kunjalo, abathengisi akuyona isifo se-Feature Fatigue, isifo esithile esithathweni se-Feature Overload. Isifo se-Feature iye yaziwa kusukela okungenani lapho izixhobo zokusebenza zomphakathi ezivamile, njenge-fridges ne-TV, zilungele kakhulu. I-AI-powered browser, njenge-updates ezidlulile ze-Microsoft Edge, iyindlela elula yokuthengisa umkhiqizo njengezinto ezinzima kunazo kunazo zonke. Nokho, i-AI inikeza ingozi ekubunjweni lwezimfuneko ye-product: ukuyifaka e-web. I-privacy-conscious abasebenzisi sincoma izici ze-AI njengomunye indlela yokufaka idatha ye-username yebhizinisi yebhizinisi. Kuyinto lapho i-label "i-AI slop" iyatholakala, futhi ukuthi kungcono kakhulu kuncike kuphela ukusetshenziswa okunciphisa. Konke imikhiqizo isixazululo ukuguqulela ukuhlaziywa, enikezela akukho izici ze-AI ze-LLM ukuba zihlanganise kumasebenzisi wayo. I-Vivaldi, i-privacy-focused web browser, isenza nje lokhu ngokuchofoza izidingo zayo ukuze ngaphandle kokufaka nge-browser yakho. Ukukhangisa i-AI features Ukukhangisa i-AI features Umgangatho kungaba kakhulu kakhulu, njengoko abaninzi abasebenzisi akuyona imikhiqizo eyenziwe nge-AI, okungenani ekuqaleni. Ukuphendula kufanele ukufumana isilinganiso olufanele futhi ufunde lapho imikhiqizo yakho inesidingo se-AI. Does Your Product Need AI Features? Ingabe imikhiqizo yakho unemibuzo AI? Ukubonisa ukuthi izinhlelo zokusebenza zokukhiqiza imikhiqizo ezivamile, njenge-RICE ( ), zihlanganisa ukuhlangabezana nezimo ze-AI. inikeza isakhiwo se-RICE-A elihlanganisa izici ze-AI ezisetshenziselwa ukuthuthukiswa kwamakhemikhali. Ukuphakama × Ukuphakama × Ukuphakama Maryl Nika Nika Nika Izinzuzo zobuchwepheshe, ukuphazamiseka kwamakhasimende, ukulungiswa, ukubhuka, kanye nezinzuzo zebhizinisi zebhizinisi etholakalayo ngaphambi kokufaka ku-RICE zokusebenza ezivamile. Kubalulekile futhi ukunikeza ukunambitheka okwengeziwe ngokusetshenziswa kwe-multiplier ye-AI complexity. Ngokwenza lokhu, udinga ukubhuka izici ze-AI izici ngesikhathi esifundeni sokuthuthukiswa. Ukulungiswa Ukubaluleka izinzuzo ze-implementation ye-AI akunakusiza ekubunjweni ukuthi izici ze-AI zithuthukisa ukunakekelwa kwamakhasimende. I-Kano model isixazululo lokhu ngokuvumelana nezinhlobo ezine ze-feature ye-product. 
 
 
 
 Iziqu ze-must-be izici zokusebenza eziyinhloko ze-product. Zonke abasebenzisi bafikelele ngokuvamile, futhi ukuphazamiseka kubaluleke ukuguqulwa kwamakhasimende. Iziqu ze-performance zibonisa ukuhambelana kwamakhasimende ngalinye. Izinga lokuthumela okusheshayo, isitoreji esikhulu, noma izinzuzo ezihlobene zithuthukisa ukubuyekezwa kwamakhasimende kuze kube nokuningi. Izici ezinzima zihlanganisa nezinye izidakamizwa kanye nokushintshwa kwe-customer satisfaction ngokushesha i-mile eyengeziwe. Ukukhangisa kwabo akuyona ukuphazamiseka, kodwa ukufinyelela kwabo kungase kuthatha ingxenye yabasebenzisi. In e-commerce, amakhasimende ukweseka chatbots, imikhiqizo emkhakheni imibuzo, kanye nemikhiqizo efanayo kungcono ukwandisa ukubukeka noma ukwandisa ukusebenza, kodwa akuyona ukuguqulwa okuphakeme imikhiqizo kanye ne-UI. Ngaphandle kwalokho, ezinye izici ze-AI akunakwenzeka ukuba zibe nezidingo. Ukuhlola kwe-AI nge-akhawunti ye-e-commerce, okungenani isizukulwane esisodwa. Ngokusho, i-AI-powered web unblockers for online data collection ziye kwenziwa kakhulu futhi. Njengoba iwebhu zihlanganisa ukufinyelela kwedatha nge-AI tools, ama-web scrapers kufanele usebenzisa izixhobo ze-AI ukulawula i-proxy pools, i-browser fingerprints, nezinye izifundo. Ukufumana izibonelo ezidingekayo emkhakheni yakho kubaluleke ukuthi imikhiqizo yakho inesidingo izici ze-AI. Conclusion Ukuphakama Izinzuzo ze-AI feature zihlanganisa izinzuzo ze-management ye-product. Umkhiqizo oqala nge-technology bese uhlangabezana ne-cannot solve iyatholakala ku-cannot. Lo mphumela zonke izinzuzo ze-AI. Thina siphinde izinzuzo ze-AI ezinokufumaneka kubasebenzisi bethu futhi zihlanganisa kuphela lapho iyatholakala. Kuyinto enhle ukuthi I-Generative AI iyinhlangano yokuguqulwa, kodwa ababili owaziwa kubuyekeza abanolwazi ukuxhaswa kwama-hype kanye nokuthandana nezinhlangano zokulawula imikhiqizo ezivamile. Ezinye izindlela zihlanganisa njengesinye ingxubevange se-AI.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

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Uma imikhiqizo kuyimfuneko AI (When It's Just Slop)

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