Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà láti ọwọ́ Eric Wu

Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà láti ọwọ́ Eric Wu jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Sọ́fítíwéà.

IrinSọ́fítíwéà· 2025

Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà

látọ̀wọ́ Eric Wu

Oníbàárà: Seek AI

Aṣẹ́gun Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Sọ́fítíwéà

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Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #165510

Ṣàbẹ̀wò Ojú Òpó Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà

Seek AI jẹ́ ohun elo wẹẹbu tí ó jẹ́ kí àwọn olùlo iṣẹ́ òwò lè béèrè àwọn ìbéèrè nípa dátà wọn ní èdè lásán. Seek AI ń yí àwọn ìbéèrè èdè àdánidá padà sí kóòdù SQL nípa lílo àwọn àwòṣe èdè ńlá àti ètò aṣojú tí a ṣe àkànṣe. Pẹpẹ náà ń so pọ̀ mọ́ àwọn ibi ìkówèésí dátà bí Snowflake, BigQuery àti Redshift. Ojú-àtẹ̀jíjẹ́ ìfọ̀rọ̀wánilẹ́nuwò ni a so pọ̀ mọ́ olùṣàtúnṣe SQL tí ó lè fẹ̀ sí i, tí ó jẹ́ kí a lè ṣàyẹ̀wò àti tún ìbéèrè kọ̀ọ̀kan ṣe. Pátákó olùrànlọ́wọ́ kan wà tí ó ń ràn iṣẹ́ lọ́wọ́ nínú olùṣàtúnṣe náà. Àwọn olùlo tún lè ṣẹ̀dá àwọn àwòrán àti pín àwọn ìjìnlẹ̀ òye pẹ̀lú àwọn alábàáṣiṣẹ́pọ̀.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Irin A' Design Award

Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún Seek AI Ohun Elo Wẹẹbu fun Ìtúpalẹ̀ Dátà nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: Seek is a generative AI platform that empowers business users to query their datasets and frees up data teams from ad-hoc requests for analysis. It automatically converts natural language questions into high-quality SQL code. With the efficiency of Seek, data teams are able to focus more on big questions that matter.
Ìwọ̀n àti Àpò: Seek AI is a web application built with technologies like Next.js, React, and Django. Seek connects to popular data warehouses such as Snowflake, BigQuery, and Redshift. Seek uses a custom agentic AI framework to generate data queries based on natural language questions from the user.
Àwọn Àkọlé: Generative AI, enterprise application, data analytics
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: Seek AI utilizes large language models to generate queries.
Ìpèníjà Àpèsè: The challenge was balancing the precision of a data-driven interface with the freedom of an AI chat bot. Research and practice have shown that an entirely uncontrolled AI chatbot performs poorly on structured data, which has low tolerance for any degree of mistakes. On the other hand, user satisfaction greatly increases when the AI has more perceived autonomy and performs more like humans. The design of Seek AI treats the precise SQL editor as an expandable feature within the chat, while also allowing for the option to engage with it solely. A side AI assistant in the editor itself provides the continuity of AI interaction, while acknowledging that in the technical editor interface, AI becomes an assistant to the precision and lets the user take agency. This approach proves to be highly effective as users are able to freely toggle between the two modes of working and ensure that queries are accurate.
Ìwádìí: In the design process, I conducted user research with multiple clients who agreed to be design partners. The research focused on how people perceive accuracy and precision in the context of AI-generated data queries. We found that while people ultimately value precision the most (as they claim), user satisfaction was actually less with a system that is more guardrailed to be precise than making errors. With humanized AI systems, users gain satisfaction from responsive engagement with the system, even though the primary function of the system may be productivity and accurate data queries.
Ìmísí: I have designed this product with the mindset that data tools should be both accessible and efficient. With the rise of generative AI, we're at a unique intersection in design where complex mental models can easily be explained away by AI. However, AI also runs the risk of simplifying things too much and losing accuracy in the process. As a data-centric software, it is paramount that Seek maintains accuracy and precision alongside any usability improvement brought by AI.
Àkókò Iṣẹ́ Àkànṣe: The project is receiving continuous feature updates. The current iteration was has been developed since the beginning of 2024.
Ìlànà Ìṣiṣẹ́: With Seek AI, users can ask questions about their data in natural language, and Seek would generate queries for them. This makes it easier for data professionals to write queries for complex datasets. Additionally, Seek allows users to create visualization or share insights with collaborators.
Àwọn Ọmọ Ẹgbẹ́: Eric Wu
Ìfọwọ́sí Àwòrán: Image credit: Eric Wu
Video credit: Eric Wu