Lisebelisoa tsa ho bolela esale pele tsa Artificial Intelligence (AI) le litharollo tsa analytics tse boletsoeng esale pele ke tse ling tsa lisebelisoa tse kholo tse fumanehang ho mekhatlo eohle e meholo, e fanang ka leseli mabapi le bokamoso. Ke karolo ea karolo e kholoanyane ea tlhahlobo ea data le ho khetholla mekhoa e sebetsang ha ho etsoa liqeto.
Khoebong ea e-commerce, lisebelisoa tsa ho bolela esale pele tsa AI li ka sebelisoa ho sekaseka lintlha tsa bareki, athe indasteri ea ho bapatsa le ea inshorense e ka e sebelisa ho sekaseka litekanyetso tsa mokoloto le ho tseba mesebetsi ea bomenemene. Tsena ke tse seng kae feela tsa liindasteri tse ngata tse ntseng li ntlafatsoa ke lisebelisoa tsa bolepi tsa AI.
Mona ke tse 9 tsa lisebelisoa tse ntle ka ho fetisisa tsa ho bolela esale pele tsa AI 'marakeng:
1. SAP Analytics Cloud
Sap ke e 'ngoe ea lik'hamphani tse kholo ka ho fetisisa tsa software tsa machaba. Sethala sa eona sa pele sa li-analytics, SAP Litlhahlobo tsa Predictive, e kentsoe sethaleng se seholo sa k'hamphani sa Cloud Analytics.
Sethala se secha se sebetsa ho AI mme se sebelisetsoa merero e ntlafalitsoeng ea khoebo le ponelopele, 'me se ka sebetsa ho lisebelisoa tsohle. E ka senyeha habonolo, ho bolelang hore mekhatlo ea boholo bohle e ka e sebelisa. Ka li-analytics tse matlafalitsoeng, k'hamphani e ka sebelisa NLP ho fumana leseli ho tsoa ho data e kholo, athe ho ithuta ka mochini ho tsamaisa phallo ea mosebetsi ho tseba likamano le lipaterone.
Mona ke tse ling tsa lits'ebetso tsa SAP:
- Liminerale tsa data
- Li-analytics tsa ponelopele
- Augmented analytics
- Forecasting
- Bohlale ba khoebo
2. SAS Advanced Analytics
Feme e 'ngoe ea software ea machaba, SAS e fana ka software ea analytics e lekantsoeng haholo. SAS Advanced Analytics ke lethathamo le felletseng la lisebelisoa tsa tlhahlobo ea lintho esale pele.
E ka nolofatsa lintlha ka ho etsa merafo ea data pele e fetela ho mohlala oa data, 'me e fana ka tlhahlobo ea lipalo-palo. SAS Advanced Analytics e boetse e sebelisa lisebelisoa tsa ho bolela esale pele ho iketsetsa mehlala bakeng sa menyetla e tlang.
Mona ke tse ling tsa lits'ebetso tsa SAS:
- Tlhahlobo ea mongolo
- Tlhahlobo ea statistical
- Forecasting
- Tlhahlobo ea ponelopele
3. Alteryx
Alteryx ke Gartner Magic Quadrant Moetapele oa data saense le ho ithuta ka mochini. Sehlahisoa sa eona se ka sehloohong ke sethala sa APA, e leng mokhoa oa ho iketsetsa lipatlisiso o kopanyang mahlale a data le litlhahlobo tse boletsoeng esale pele.
Alteryx e etselitsoe batho bao e seng li-coders, e fanang ka "li-block tsa kaho" tse makholo tsa automation, 'me e ka fetola data e kholo ho ba leseli le thusang ho etsa liqeto. Hape ke sesebelisoa se setle sa tšebelisano, se nolofalletsang lihlopha ho arolelana lintlha.
Mona ke tse ling tsa lits'ebetso tsa Alteryx:
- Boitsebiso ba saense
- Litlhahlobo tsa khoebo
- Lintlha tse sa hlophisoang
- Tlhahlobo ea maikutlo
4. RapidMiner
RapidMiner ke e 'ngoe ea lisebelisoa tse holimo tsa AI tsa ho bolela esale pele. Sethala sa tlhahlobo ea data ea ho qetela, RapidMiner e sebelisa mohlala oa data le ho ithuta ka mochini ho fana ka litlhahlobo tse boletsoeng esale pele.
Sethala se sebelisa sebopeho sa ho hula le ho theola, 'me se na le laebrari ea li-algorithms tse fetang 1,500 tse ka sebelisoang ho data. E boetse e le matla sesebelisoa sa pono ea data, ho u lumella ho bona liphetho tsa nako e tlang tsa liqeto tsa khoebo.
Mona ke tse ling tsa lits'ebetso tsa RapidMiner:
- Mohlala oa data
- Tlhahlobo ea data
- Mekhoa ea ho ithuta ka mechini
5. IBM SPSS
SPSS ke tharollo ea IBM ea lipalo-palo le litšebeletso tsa sehlahisoa, 'me e sebetsa ka ho khetheha tlhahlobong e tsoetseng pele ea lipalo. Li-module tsa eona tse peli ke SPSS Statistics le SPSS Modeler. Ea pele e etsa analytics ea ho bolela esale pele ka ho kopanya tlhahlobo ea ad hoc, tlhahlobo ea hypothesis, le tlhahlobo ea geospatial.
SPSS Modeler e bulehile haholoanyane, 'me e fetola tlhahlobo ea bonohe hore e be litšoantšo tse hlakileng, e u nolofalletsang ho tseba lipaterone le liphoso tsa data.
Mona ke tse ling tsa lits'ebetso tsa IBM SPSS:
- Tlhahlobo ea statistical
- Mohlala oa data
- Litlhahiso
6. Mollo oa TIBCO
TIBCO Spotfire e sebelisa lisebelisoa tse ngata ho sebetsa ho li-data tse kholo, 'me ke sesebelisoa se sebelisoang habonolo ho motho e mong le e mong. Ka likhakanyo tsa ho penya ha 'ngoe, e fana ka mekhoa e reriloeng esale pele ea ho hlophisa le ho kopanya data.
TIBCO Spotfire e boetse e bonts'a likamano le ho etsa ponelopele, hammoho le ho theha lipono tse sebetsang tsa data.
Mona ke tse ling tsa lits'ebetso tsa TIBCO Spotfire:
- Li-analytics tsa ponelopele
- Tlhahlobo ea data
- Forecasting
- Ho arola le ho kopanya
7. H2O.ai
Sethala se bulehileng, H2O.ai e fana ka lisebelisoa tse ngata tsa bohlale ba khoebo tse itšetlehileng ka AI le ho ithuta ka mochine (ML). H2O Driverless AI e reretsoe ho bo-rasaense ba data, ha H2O AutoML e lebisitsoe ho batho bao e seng ba theknoloji. E boetse e fana ka litempele tse fapaneng bakeng sa liindasteri tse fapaneng.
Mona ke tse ling tsa liindasteri tse loketseng H2O.ai:
- kgwebo
- Startups
- Marketing
- ditjhelete
- Insurance
- Tlhokomelo ea bophelo
8. ka WebFOCUS
Lihahi tsa Boitsebiso (ibi) li fana ka sethaleng sa WebFOCUS analytics, e leng sesebelisoa sa ho iketsetsa litšebeletso. E ka fumanoa ke mang kapa mang ka sebatli sa marang-rang, 'me e na le li-database tse ngata. Ka sethala, o ka beha leihlo le ho latela li-KPI tse fapaneng, 'me e fana ka li-dashboard tse sebetsang tse sebetsang. Tse ling tsa lisebelisoa tsa eona tsa analytics li kenyelletsa tharollo bakeng sa tlhokomelo ea bophelo bo botle, lichelete, mabenkele le thepa, 'me sethala se fetoha habonolo, se leng molemo ho lik'hamphani tse nyane tse batlang ho nyoloha.
Mona ke tse ling tsa lits'ebetso tsa ibi WebFOCUS:
- Tšebelisano ea sehlopha
- Tlhokomelo ea KPI
- Li-dashboards tse sebetsang
9. Emcien
Sesebelisoa sa ho qetela lethathamong la rona ke Emcien, e nang le sethala se bitsoang EmcienPatterns se hahiloeng holim'a lienjine tse peli. Enjene ea Analysis e sebelisa data ho tseba mekhoa pele e e fetisetsa ho enjene ea Prediction.
Enjene ea Prediction, ho etsa liqeto ho etsoa ho ea pele, 'me lintlha tse ka sebelisoang li nchafatsoa ka nako ea nnete. E kenyelletsa pono ea data le tlhahlobo ea kerafo, 'me e fana ka likhakanyo tse boima le lintlha tsa sebopeho. Emcien e khona ho sebetsana le data e sa hlophisoang le data e litšila ntle le ho hloka ho itokisa.
Mona ke tse ling tsa lits'ebetso tsa Emcien:
- Ho etsa liqeto
- Ho bolokoa ha bareki
- Pelehi ea nako
- Pono ea data le tlhahlobo ea kerafo
Le hoja baeta-pele ba bangata ba khoebo ba ka nahana hore ba hloka chelete e ngata kapa sehlopha se hlometseng hantle sa bo-rasaense ba data ho sebelisa lisebelisoa tsena, ha ho joalo kamehla. Ho na le lisebelisoa tse ngata 'marakeng tse ka thusang khoebo ho tsamaisoa ke theknoloji le ho itokisetsa bokamoso ba AI.
Lisebelisoa tsena tse 9 tse ntle ka ho fetisisa tsa ho bolela esale pele tsa AI ke senotlolo sa mokhatlo ofe kapa ofe o moholo o batlang ho isa bokhoni ba ona ba data boemong bo latelang.
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