Code Velocity
AI ya Biashara

CyberAgent Inaharakisha na ChatGPT Enterprise na Codex

·8 dakika kusoma·OpenAI, CyberAgent, GOODROID·Chanzo asili
Shiriki
Mistari ya mwanga ya kijani na manjano isiyo dhahiri na nembo ya CyberAgent, inayowakilisha kasi ya CyberAgent na zana za AI.

CyberAgent, kampuni maarufu ya mtandao ya Japan, inabadilisha haraka shughuli zake na kuimarisha ushindani wake kupitia matumizi ya kimkakati ya zana za AI za kisasa za OpenAI: ChatGPT Enterprise na Codex. Katika biashara zake mbalimbali, ikiwemo matangazo ya mtandaoni, vyombo vya habari, burudani, na michezo, CyberAgent inatumia mifumo hii kuharakisha mtiririko wa kazi, kuinua viwango vya ubora, na kuboresha michakato ya kufanya maamuzi. Ahadi hii ya msingi kwa AI imesababisha kiwango cha ajabu cha 93% cha watumiaji hai wa kila mwezi wa ChatGPT Enterprise, kikisisitiza mabadiliko ya kitamaduni kuelekea uzalishaji wenye akili, unaoendeshwa na AI.

Utekelezaji Salama wa AI na ChatGPT Enterprise

Hata kabla ya mlipuko wa AI ya kuzalisha, CyberAgent ilikuwa na msingi imara katika utafiti na maendeleo ya AI, hasa katika masoko ya kidijitali, ikiashiriwa na kuanzishwa kwa 'AI Lab' mwaka 2016 na kuanzishwa kwa 'Kiwami Prediction AI' mwaka 2020. Hata hivyo, kuibuka kwa wingi kwa AI ya kuzalisha, kukiwakilishwa na kutolewa kwa ChatGPT mwaka 2022, kuliongeza hitaji la usalama imara na utawala wazi kuhusu matumizi ya zana za AI.

Changamoto kuu ilikuwa kutokuwa na uhakika kulikoenea miongoni mwa waajiriwa kuhusu ni taarifa gani zinaweza kuingizwa kwa usalama katika zana za AI, na hivyo kusababisha kusita na matumizi yasiyolingana. Ili kupunguza hatari hizi na kukuza ujumuishaji wa AI kwa ujasiri, CyberAgent ilitekeleza kimkakati ChatGPT Enterprise. Suluhisho hili la kiwango cha biashara linatoa vipengele vya usimamizi vilivyolengwa, vinavyoruhusu kampuni kusanidi ushughulikiaji wa data kulingana na mahitaji maalum, ikijengewa uwezo na usalama wa kiwango cha biashara na udhibiti wa ufikiaji. CyberAgent ilijenga zaidi mazingira haya salama kwa kuanzisha miongozo ya ndani ya kushughulikia taarifa za siri.

Ken Takao, Meneja katika Idara ya Teknolojia ya Data ya Kitengo cha Ukuzaji wa IT cha Shirika cha CyberAgent, anaangazia athari:

"Kwa vipengele vya biashara kama vile usimamizi wa akaunti na mwonekano wa matumizi, ChatGPT Enterprise iliwezesha kusaidia matumizi ya biashara ya aina mbalimbali za taarifa, bila kujumuisha data ya siri. Kama matokeo, wigo wa matumizi ya AI katika kampuni nzima umepanuka, na waajiriwa wengi sasa wanaitumia katika kazi zao za kila siku."

Mbinu hii makini imepunguza sintofahamu kuhusu matumizi ya AI, ikiunda mazingira salama na yenye kujiamini ambapo waajiriwa wanaweza kuingiza AI kwa ujasiri katika kazi zao za kila siku, kama vile utafiti, kuandaa rasimu, na kupanga pointi muhimu, huku wakihakikisha usimamizi wa binadamu unabaki na mamlaka ya mwisho ya kufanya maamuzi.

Kukuza Utekelezaji wa AI: Zaidi ya Maagizo

Kinachofanya hadithi ya ujumuishaji wa AI ya CyberAgent kuvutia sana ni ukuaji wake wa asili. Kampuni haiweki zana maalum bali inaziwezesha timu, idara, na kampuni tanzu kutathmini na kutumia suluhisho kulingana na malengo yao ya kipekee. Licha ya sera hii isiyo na amri, matumizi ya kila mwezi ya ChatGPT Enterprise yalipanda hadi 93%.

Kiwango hiki cha kuvutia cha matumizi ni ushahidi wa ujenzi wa utamaduni wa makusudi wa CyberAgent na msaada imara wa mafunzo kutoka OpenAI. Kampuni ilitekeleza mifumo kadhaa ya kuhimiza matumizi makini:

  • Kubadilishana Maarifa: Kukuza mazingira ya kubadilishana madokezo na visa vya mafanikio vya matumizi.
  • Viwango vya Ndani: Kuwapatia waajiriwa data ya kibinafsi ya matumizi ya zana za AI (zisizo za tathmini) ili kukuza kujitambua na ushiriki.
  • Ushiriki Makini: Mfumo wa kipekee ambapo boti za Slack huwafuatilia waajiriwa ambao hawajatumia zana hivi karibuni, wakiuliza kuhusu changamoto au zana mbadala za AI, na kutoa mapendekezo yaliyolengwa.

Vipindi vya mafunzo na warsha, vilivyobuniwa kwa ushirikiano na OpenAI, vilichukua jukumu muhimu. Kuanzia "ChatGPT Enterprise 101" hadi warsha za hali ya juu za Custom GPT na vipindi vya vitendo vya Codex, fursa hizi za kujifunza zilibuniwa kulingana na majukumu na viwango tofauti vya utaalamu. Ushiriki mkubwa, mara nyingi ukizidi waajiriwa 100 kwa kila kipindi, unaonyesha hamu ya kweli ya kukumbatia ujuzi wa AI. Mfumo huu mpana wa msaada umewawezesha waajiriwa kujenga uzoefu wa kivitendo, wenye mafanikio na AI, wakisonga mbele kutoka tu kufahamishwa hadi ujumuishaji wa kina.

Codex: Kuinua Usanifu, Maendeleo, na Maamuzi

Codex, modeli ya hali ya juu ya kuzalisha nambari ya OpenAI, inazidi kutumiwa kwa kasi na CyberAgent, ikipanua matumizi yake zaidi ya kazi za kawaida za uandishi wa nambari. Timu zinatumia Codex kwa kazi muhimu za mwanzo, ikiwemo usanifu, upatanishi, na tathmini, ambapo maamuzi ya mapema na bora hupunguza kwa kiasi kikubwa kazi za kurudia baadaye katika mzunguko wa maendeleo. Matumizi haya ya kimkakati ya Codex yanachangia katika mtiririko wa maendeleo wenye ufanisi zaidi na ubora wa juu.

Ken Takao anabainisha matumizi matatu muhimu ya Codex:

  • Tathmini ya Usanifu: Kukagua, kutathmini, na kujaribu mapendekezo ya muundo kutoka mitazamo mbalimbali.
  • Uboreshaji wa Ukaguzi wa Nambari: Kuzalisha mapendekezo ya kuboresha yenye akili wakati wa ukaguzi wa nambari na kuwezesha uteuzi wa suluhisho bora.
  • Nyaraka za Maarifa: Kujenga na kudumisha nyaraka imara za maarifa, kama vile AGENTS.md, kutoa muktadha tajiri zaidi kwa mawakala wa AI.

Matumizi haya yanatafsiriwa kuwa faida zinazoonekana: ubora ulioboreshwa wa usanifu, upatanishi wa haraka kati ya wadau kabla ya utekelezaji, na hoja zilizo wazi nyuma ya mapendekezo, na hivyo kuharakisha kufanya maamuzi kwa ujumla.

ZanaMatumizi MakuuFaida Muhimu
ChatGPT EnterpriseUtafiti, kuandaa rasimu, kupanga pointi muhimu, shughuli za jumla za biashara, miongozo ya ndani, ushughulikiaji salama wa data.Ushughulikiaji salama wa data, usalama wa kiwango cha biashara, utawala wazi, kuongezeka kwa ujasiri wa waajiriwa, matumizi mapana, kurahisisha kazi za kila siku.
CodexUkaguzi wa usanifu, mapendekezo ya ukaguzi wa nambari, nyaraka, kuandika maelezo, kuunda sampuli, mfumo wa viwango vya matumizi ya ndani, uendelezaji wa michezo.Ubora ulioboreshwa wa usanifu, upatanishi wa haraka, hoja zilizo wazi, kasi iliyoboreshwa ya maendeleo, kupungua kwa kazi za kurudia, kuongezeka kwa ujasiri, matumizi mapana katika uendelezaji wa bidhaa.

Athari za Codex pia zinaenea zaidi ya majukumu ya uhandisi ya jadi. Wasiokuwa wasanidi programu wanaanza kutumia uwezo wake kwa kuandika maelezo, kuunda sampuli, na kupanga kazi inayoshirikiana na timu za bidhaa na maendeleo. Katika kuonyesha ustadi wake, CyberAgent hata ilitumia Codex kujenga mfumo wake wa viwango vya matumizi ya ndani, na hivyo kuendeleza ushiriki na mwonekano wa matumizi ya AI. Kwa mazoea bora katika kutumia mifumo kama hiyo, timu mara nyingi hurejelea rasilimali kwenye uhandisi wa madokezo.

Athari Halisi: Kasi, Ubora, na Ujasiri

Katika timu za maendeleo za CyberAgent, Codex inathaminiwa zaidi si tu kama zana ya kasi, bali kama kiwezeshaji cha hukumu bora na ubora wa matokeo.

Sou Yoshihara, mtumiaji mkuu wa Codex katika Kitengo cha Biashara cha AI cha CyberAgent, huunganisha Codex kupitia MCP katika Cursor kwa ajili ya usanifu na upangaji wa utekelezaji wa Kiwami Prediction AI. Yoshihara anabainisha, "Ikilinganishwa na mifumo mingine ya uandishi wa nambari, Codex inatoa hisia ya kutoa mapendekezo ya ubora wa juu zaidi," akisisitiza jukumu lake katika kuboresha mchakato mzima wa maendeleo.

Mfumo huu unafanana katika uendelezaji wa michezo. Hidekazu Hora wa GOODROID alitumia Codex katika uundaji wa mchezo wa simu wa fumbo WormEscape, ambao ulifikia uzinduzi wa awali ndani ya takriban mwezi mmoja. Hora anasisitiza jinsi Codex ilivyoboresha mtiririko kutoka usanifu hadi utekelezaji hadi uthibitisho, ikitoa msaada muhimu katika mchakato mzima.

"Ilijisikia kama mshirika anayeaminika aliyeunga mkono mchakato mzima kutoka kujadili utekelezaji hadi kuufanya, na kusaidia kuongeza kasi ya maendeleo. Kwa Codex, hata katika maeneo ambayo sikuwa na uzoefu wa awali, niliweza kutatua vikwazo vilivyosababishwa na ukosefu wa maarifa haraka zaidi, na ninahisi inasaidia kufikia ubora na kasi zote mbili." —Hidekazu Hora, Msanidi Programu, GOODROID

Wasanidi programu katika kampuni nzima wanaripoti mada ya kawaida: urahisi wa kutumia na matokeo ya ubora wa juu ya Codex ni vichocheo muhimu vya matumizi yake yanayoendelea. Haiharakishi tu kazi bali pia inaweka ujasiri mkubwa zaidi katika mchakato wa maendeleo, ikiwezesha timu kukabiliana na changamoto mpya na kutoa suluhisho za ubora wa juu. Kusimamia na kutathmini utendaji wa mawakala kama hao ni muhimu, kama ilivyojadiliwa katika miongozo kama kutathmini mawakala wa AI kwa uzalishaji.

Baadaye ya Ujumuishaji wa AI katika CyberAgent

CyberAgent inazingatia AI kama zaidi ya mwelekeo wa muda mfupi; ni hatua ya mabadiliko ya kimsingi iliyo tayari kufafanua upya viwango vya tasnia ya mtandao. Pamoja na 'AI Lab' yake inayotumika kama injini ya muda mrefu ya maendeleo ya kiufundi na matumizi ya kivitendo ya biashara, kampuni imejitolea kupanua mfululizo jinsi AI inavyounda thamani katika shirika lote.

Kipengele cha kipekee cha mbinu ya CyberAgent kiko katika mfumo wake wa matumizi ya asili, kutoka chini kwenda juu. Bila maagizo ya jumla, timu zinawezeshwa kuchagua zana zinazolingana vyema na mahitaji yao, kuwekeza katika kujifunza jinsi ya kuzitumia kwa ufanisi, na kujenga mifumo ya ndani inayoeneza zaidi matumizi ya AI. ChatGPT Enterprise na Codex zimebadilika zaidi ya zana za uzalishaji tu; kwa pamoja, ni muhimu katika safari ya CyberAgent kutoka tu kuanzisha AI hadi kuiingiza kwa undani katika kazi za kila siku, ikisanifu upya kimsingi mbinu za uendeshaji. Ujumuishaji huu wa kimkakati unahakikisha kwamba AI si teknolojia tu bali ni kichocheo kikuu cha uvumbuzi na ufanisi, ikiweka kielelezo kwa matumizi ya AI katika kiwango cha biashara. Zaidi ya hayo, kuhakikisha usalama katika mazingira kama haya ya wakala yaliyoenea ni muhimu, na ufafanuzi kutoka kwa makala kama kuunda mawakala kupinga udungaji wa madokezo ni muhimu sana.

Maswali Yanayoulizwa Mara kwa Mara

How has CyberAgent integrated AI into its core business strategy?
CyberAgent views AI as a foundational technology supporting both business growth and operational design, not merely a collection of advanced initiatives. This perspective has driven significant investment, including the establishment of 'AI Lab' in 2016 for broad AI research and development, particularly in digital marketing. In 2023, the 'AI Operations Office' was launched to create a structured framework for leveraging AI to transform business operations. This strategic integration is centered on the widespread adoption of ChatGPT Enterprise and Codex, enabling rapid iteration through hypothesis testing, improving quality, and boosting productivity across its diverse business segments like advertising, media, and gaming.
What challenges did CyberAgent face before adopting ChatGPT Enterprise, and how were they resolved?
Before adopting ChatGPT Enterprise, CyberAgent faced significant challenges related to security, governance, and consistent AI usage. Employees were hesitant to use AI tools due to uncertainty about handling confidential information, leading to varied adoption rates and difficulties in knowledge sharing. To address this, CyberAgent implemented ChatGPT Enterprise, which provided robust management features, enterprise-grade security, and access control. This allowed the company to manage input data according to specific requirements, establish internal guidelines for confidential information, and create an environment where employees could confidently and securely incorporate AI into their daily tasks, ultimately expanding AI use across the entire organization.
How did CyberAgent achieve a 93% monthly active usage rate for ChatGPT Enterprise without mandating its use?
CyberAgent achieved a remarkable 93% monthly active usage rate for ChatGPT Enterprise through a deliberate strategy of culture building, continuous training, and proactive engagement, rather than enforcing mandates. The company fostered an environment where teams evaluated and adopted tools based on their specific objectives. Key initiatives included sharing knowledge and successful use cases, implementing internal rankings (for individual visibility only) to encourage engagement, and using Slack bots for 'light follow-ups' to understand usage patterns and offer tailored suggestions. Additionally, a series of training sessions and workshops, ranging from beginner introductions to hands-on custom GPT and Codex sessions, co-designed with OpenAI, significantly contributed to widespread adoption by empowering employees with practical AI skills.
Beyond code generation, what specific benefits and use cases has CyberAgent found for Codex?
CyberAgent has discovered that Codex offers substantial benefits beyond traditional code generation, particularly in upstream development phases. It's used to review, evaluate, and pressure-test design proposals from multiple perspectives, leading to better design quality. Codex assists in generating improvement suggestions during code reviews and selecting optimal options, fostering faster alignment before implementation and reducing rework. Furthermore, it aids in building and maintaining critical knowledge documents like AGENTS.md, providing richer context for AI agents. Non-developer roles are also leveraging Codex for tasks like writing specifications and creating mockups, extending its impact across product and development workflows by improving decision-making quality and speed.
Can you provide examples of how Codex has improved confidence and accelerated development at CyberAgent?
Codex has significantly boosted both confidence and development speed at CyberAgent. Sou Yoshihara, a top Codex user, praises its high-quality proposals for design and implementation planning, optimizing the entire development process. In game development, Hidekazu Hora from GOODROID utilized Codex for the game WormEscape, enabling its soft launch in approximately one month. Hora emphasized that Codex acted as a 'reliable partner' throughout the entire process—from discussing implementation to execution and validation. This partnership allowed him to quickly overcome roadblocks in unfamiliar areas, ensuring both quality and speed. This pattern of enhanced judgment and accelerated progress, even in areas without prior experience, is a common theme across CyberAgent's development teams.
What is CyberAgent's long-term vision for AI integration, and what makes their approach unique?
CyberAgent views AI not as a transient trend but as a transformative turning point for the internet industry, poised to become the next standard. Their long-term vision involves continuously expanding how AI creates value across the organization, driven by the 'AI Lab' for technical advancement and practical application. What makes their approach unique is the organic, non-mandated adoption model. Instead of blanket rules, teams select tools that align with their needs, learn through comprehensive training, and build internal systems (like usage ranking systems built with Codex) that naturally propagate AI adoption. This bottom-up integration shifts AI from mere introduction to being deeply embedded in daily work, fundamentally redesigning operational processes.

Baki na Habari

Pokea habari za hivi karibuni za AI kwenye barua pepe yako.

Shiriki