Amazon Web Services782 тыс
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Опубликовано 22 октября 2024, 18:45
In this podcast episode, we explore data strategy with Dave Chan, CEO of Jaja Finance, and Mayur Udernani, Principal AIML Specialist, AWS as they discuss the generative AI assistant, Airi. Developed in collaboration with Amazon Web Services (AWS), Airi has transformed customer interactions by reducing response times by 90%, now answering queries in under 15 seconds instead of three minutes. Dave elaborates on how Jaja Finance has effectively leveraged a robust data strategy that enhances service delivery and customer experience, positioning the company as a leader in the digital lending space.
Jaja Finance: go.aws/4eKgfLP
GenAI Chat Assistant (Jaja Finance): go.aws/3YxdU0W
AWS Data Strategy Team - go.aws/3SgkoOX
AWS for Data YouTube Series - go.aws/48vBSfR
00:00 - 02:48: Introductions
02:49 - 04:35: Business Overview and Data Strategy
04:36 - 09:45: How is GenAI transforming the organisation
09:46 - 12:01: How are successful customer able to take Generative AI use-case to production?
12:02 - 15:12: How to think about establishing data maturity while building Generative AI use-cases?
15:13 - 20:44: Building a data culture and skills in the organisation
20:45 - 25:05: Improving adoption of Generative AI applications within the internal and external users
25:06 - 26:02: Team structures to be successful eith data and generative AI
26:03 - 28:19: Data quality processes for generative AI applications
28:20 - 29:53: Enabling data security practices as a part of the data strategy
29:54 - 33:48: How do you build the right data strategy for generative AI?
33:49 - 39:14: Using data insights to improve business processes
39:15 - 45:25: Making decisions on tools and technology
45:26 - 49:15: How is Jaja Finance positioned to address the fast-evolving space of generative AI?
49:16 - 51:45: Advise from AWS AIML Specialist on building genenrative AI applications.
51:46 - 53:31: How are AIML Specialist job roles changing with generative AI?
53:32 - 56:08: Wrap-up and closing comments
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWSforData #DataDriven #DataStrategy #CDO #Data #Analytics #ChiefDataOfficer #ChiefProductOfficer #CPO #AWS #AmazonWebServices #CloudComputing #FSI #Finance
Jaja Finance: go.aws/4eKgfLP
GenAI Chat Assistant (Jaja Finance): go.aws/3YxdU0W
AWS Data Strategy Team - go.aws/3SgkoOX
AWS for Data YouTube Series - go.aws/48vBSfR
00:00 - 02:48: Introductions
02:49 - 04:35: Business Overview and Data Strategy
04:36 - 09:45: How is GenAI transforming the organisation
09:46 - 12:01: How are successful customer able to take Generative AI use-case to production?
12:02 - 15:12: How to think about establishing data maturity while building Generative AI use-cases?
15:13 - 20:44: Building a data culture and skills in the organisation
20:45 - 25:05: Improving adoption of Generative AI applications within the internal and external users
25:06 - 26:02: Team structures to be successful eith data and generative AI
26:03 - 28:19: Data quality processes for generative AI applications
28:20 - 29:53: Enabling data security practices as a part of the data strategy
29:54 - 33:48: How do you build the right data strategy for generative AI?
33:49 - 39:14: Using data insights to improve business processes
39:15 - 45:25: Making decisions on tools and technology
45:26 - 49:15: How is Jaja Finance positioned to address the fast-evolving space of generative AI?
49:16 - 51:45: Advise from AWS AIML Specialist on building genenrative AI applications.
51:46 - 53:31: How are AIML Specialist job roles changing with generative AI?
53:32 - 56:08: Wrap-up and closing comments
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWSforData #DataDriven #DataStrategy #CDO #Data #Analytics #ChiefDataOfficer #ChiefProductOfficer #CPO #AWS #AmazonWebServices #CloudComputing #FSI #Finance
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