In this episode of the AI Business Asia Podcast, host Leo Jiang sits down with Joon-Seong, Senior Managing Director at Accenture, to discuss the transformative power of generative AI in the enterprise world. From Accenture's $3 billion investment in generative AI to real-world use cases and strategic frameworks, this episode dives deep into how businesses can leverage AI to drive growth and innovation.

🎯 Key Topics Covered:

[00:01] Introduction by Leo Jiang
[01:25] Guest Introduction: Joon-Seong
[05:58] Accenture’s $3 Billion Investment in Generative AI
[08:42] Formation of the Generative AI Center of Excellence (COE)
[10:50] The “ABC” Framework for AI Implementation
[13:44] Use Case: AI for BMW
[18:40] Transforming Customer Experience with Generative AI
[23:17] Responsible AI and Safeguards
[31:25] Accenture’s Proprietary AI Refinery Framework
[38:52] Industry Insights: Banking Leads the Way in AI Adoption
[42:25] Moving from POCs to Strategic AI Implementation
[49:28] Accenture’s Collaborations with Startups
[53:17] AI Transforming Front Offices and Customer Experiences
[57:15] Advice for C-suite Executives

📌 Don’t Miss Out On:
Jun’s expert insights on how companies can move beyond pilots to scale AI initiatives and strategically reinvent their operations.

🎧 Listen, learn, and transform your perspective on generative AI in enterprise applications.

👉 Subscribe to the AI Business Asia Podcast for more episodes featuring leaders and experts from the worlds of AI and business!

#AIBusinessAsia #GenerativeAI #Accenture #EnterpriseAI #AITransformation #Podcast

2 0

FlowiseAI is an open-source, low-code platform designed to facilitate the development of customized applications utilizing large language models (LLMs). It allows users to create sophisticated AI applications without requiring extensive programming knowledge, making it accessible for a broader audience. The platform features a user-friendly drag-and-drop interface, enabling rapid prototyping and deployment of AI solutions

GitHub Popularity: FlowiseAI has amassed over 31,000 stars on GitHub, indicating a strong interest and engagement from developers. It is frequently highlighted for its ease of use and functionality in building LLM applications quickly

The company was co-founded by ZhenJing Heng (Henry) and Chung Yau Ong, who aimed to make AI application development accessible to non-technical users. Their vision was to create a tool that simplifies the process of building AI applications through a user-friendly drag-and-drop interface.

3 1

In this conversation, Leo Jiang interviews Mayank, VP of SAP's AI product engineering, discussing the evolution of AI at SAP, the impact of generative AI on business processes, and the company's strategy for integrating AI into their offerings.

Mayank shares insights on the AI co-pilot, foundational models, partnerships with LLM providers, and the importance of data strategy for enterprises. The discussion also touches on the future of AI in business and SAP's collaboration with startups to foster innovation.

00:00 Introduction to AI Business Asia and SAP's Journey
02:46 The Evolution of AI at SAP
05:21 Generative AI: Transforming Business Processes
08:07 SAP's Business AI Strategy and Intelligent Enterprises
10:49 Introducing Joule: The AI Co-Pilot
13:41 Foundational Models and SAP's AI Hub
16:29 Evaluating LLMs: A Flexible Approach
19:14 The Future of LLMs and AI Strategy
22:01 Trends in Open Source vs Closed Source AI
24:22 Navigating the Early Stages of Technology Transformation
25:08 Emerging Use Cases in AI and Automation
27:40 Understanding Agentic Services and Workflows
30:13 Grounding Information: Ensuring Accuracy in AI Outputs
33:20 SAP's Approach to Workflow Automation and User Experience
35:23 Collaborating with Startups: Expanding the Ecosystem
36:46 The SAP App Store: A Hub for Innovation
39:49 Partnerships with AI Leaders: Integrating New Models
41:40 AI Innovation in Asia: Opportunities and Challenges
43:12 Advising C-Level Executives on AI Strategy
48:26 The Future of AI: Excitement and Expectations

7 1

In this episode of AI Business Asia, host Leo Jiang speaks with Dr. Santoshi Karthikeyan, Global Tech Director at AstraZeneca, about the transformative role of AI in the biopharmaceutical industry.

They discuss Dr. Santosh's journey in data science, the challenges of drug discovery, and how AI is being integrated into clinical trials and regulatory processes. The conversation highlights the importance of responsible AI, the collaboration between startups and established companies, and the future potential of AI in enhancing drug development and patient care.

Keywords

#AI #biopharmaceuticals #clinicaltrials #drugdiscovery #responsibleAI #datascience #regulatorycompliance #startups #technology #innovation #healthcare

00:00 Introduction to AI in Biopharmaceuticals
03:01 Dr. Santosh's Journey in AI and Data Science
06:03 AI Empowering Clinical Trials
08:55 Challenges in Drug Discovery
11:59 AI's Role in Regulatory Compliance
14:57 Use Cases of AI in Biopharma
17:58 Evaluating AI Models for Biopharma
21:03 Open Source vs Closed Source AI Solutions
24:03 The Role of Startups in AI Innovation
26:59 Future of AI in Biopharmaceuticals
29:59 Building Responsible AI Frameworks
32:57 Advice for Industry Peers and Startups

1 0

Host Leo Jiang interviews Adeel Khan From Microsoft and talks about various topics such as how CoPilot is being used in large organizations and changing The Future of work. How AI is used in Medical industry, How Managers can get most out of AI Copilot, How Fortune 500 Companies can utilize AI on all the levels of Workforce?

0:00 Intro
0:56 Introduction of Adeel
1:25 Adeel's Journey and Insights on copilot
7:27 What is Microsoft Copilot?
12:28 Use of Co-Pilot in Enterprise Applications
13:50 Use cases of Co-Pilot inn Healthcare
22:30 Challenges in adopting Co-Pilot
30:42 Cultural Challenges and AI Bias
33:22 Future of AI In society
39:22 AI Adoption in Asia vs West
43:00 Key Takeaways for managers and Leaders

1 0

Leo Jiang from AI Business Asia speaks with Bob van Lujit, Co-founder and CEO of Weaviate. It is world's most popular Vector Database with Over 1 Million Downloads.

00:00 Intro
00:20 Guest
01:10 Journey in Database & Softwares
03:35 Types Of Databases
04:45 Vector Databases
07:00 Business Insight for AI & Tech Startups
08:00 Product Marketfit For AI Products
14:00 Views on Revenue Model
17:03 Business Problem Weaviate is solving
21:30 What is Hybrid Search?
25:20 What is RAG?
30:15 How Data is Structured?
33:40 Tech Adoption Speed - Startups VS Enterprise
35:20 How to Sell To Enterprise?
39:00 Thoughts on Opensource Community
45:15 Importance of Community for Startups
48:15 Developers from Different Regions
50:25 Similar Chinese Startups
51:40 Regional Business Insights
54:50 Consumption medium in China
57:00 What's Next for Weaviate?
59:00 Future of Vector Databases
1:01:00 Advise for Startup Founders



Some of the Topic We covered :

How did you build one of most promising AI startup in 2024?
How did you find your product market fit?
What’s retrieval augmented generation?
Why start with open source and the power of open-source community?
How do you sell to enterprises?

5 0

In This 3rd Episode of AI Business Asia Podcast, Leo Jiang interviewed Andrew Senduk ( Managing Director of Workmate ). The Episode covers wide range of topics including How Andrew built Fastest growing AI Startup in Asia Region and His journey from selling pillows to Managing 100K Workers.

Time Stamps :

00:00 Introduction to Workmate
02:10 Andrew's Journey
03:50 $40,000 sales in 24 Hours
09:00 Business Problem Workmate is solving
12:58 Business Model of Workmate
14:00 Biggest Problem for Employers
14:40 Use of AI on the Platform
15:50 Data Collection Techniques from the workforce
17:50 Demographic Data & Usecase
18:30 Use of Industry Specific Datapoints
20:00 How to handle Different Markets
21:55 Onboarding & AI Tools
26:35 How to Convince people to Adapt new technology
29:00 Opportunity for AI & Tech revolution in China
33:11 How Workmate survived Covid Difficulties
35:30 How Workmate would differentiate from Competition
36:00 What is the biggest AI Use case in company
37:49 What is the retention period for Data?
40:50 Future Aspirations
46:00 Andrew's Book (Ignite Millennial Leadership)
52:40 Tips for Working with VC

3 0

Leo interviews ⁠Lewis Liu⁠, Group Product Manager at Google, Gemini and Vertex AI, about the impact of generative AI models on user experience and enterprise AI readiness. Some key questions addressed:
(1) How to ground AI so that it works for us, instead of working for itself 
(2) What does the enterprise-ready AI experience look like? 
(3) Should we be chasing quality benchmarks/leaderboards? 
(4) What actually matters for optimising model capabilities? 

The discussion centers on the transformative impact of generative AI models on enterprise readiness and user experience. Key topics include the rapid evolution of generative AI, the mix of experts architecture, and the role of language models (LLMs) in enterprise applications.

It highlights the importance of grounding AI in factual information and explores the commoditization of LLMs, their expansion to edge devices, and their impact on traditional search methods and changing ways people acquire knowledge. It also addresses the challenges and opportunities for startups in the AI space, emphasizing the need for flexibility in data sources and frameworks. This episode is essential for tech professionals, founders, and business executives aiming to leverage AI for competitive advantage.

This episode is essential for tech professionals, founders, and business executives aiming to leverage AI for competitive advantage.

Chapters:

04:28 The Journey of Generative AI in Google
07:13 Automating Code Generation and Completion
09:48 Unlocking Limitations with Sensitive Data
12:53 The Promise of Mix of Experts Architecture
18:22 The Role of Data in the Progression of LLMs
20:13 Adding Human Expertise to Improve Factuality
23:50 Advantages of First-Party Data and Infrastructure Investment
26:38 Grounding AI in Factual Information
30:00 Building an Enterprise-Ready AI Experience
32:07 Improving Factuality and Contextuality in Model Responses
35:09 The Role of Google Search in Language Models
36:57 Handling Conflicting Data Signals in LLMs
40:17 LLMs in Startups and Enterprise Use Cases
49:48 The Commoditization of LLMs and Differentiated Segments
55:54 Changing Ways of Knowledge Acquisition
01:03:13 The Identity of LLMs and the Need for National Boundaries

6 2

In this episode, Leo Jiang interviews Dr. Ashley Fernandez, Chief Data and AI Officer at Huawei, about the impact of generative AI on human creativity and cognitive intelligence. Key questions asked:
1. Is AI a booster or hindrance to human intelligence, and
2. How AI is profoundly changing the world today yet deeply and quietly steering the direction of our future?”.

One key aspect we'll delve into is how generative AI drives a subtle dependency on AI tools, often bypassing fundamental cognitive processes like acquiring and synthesizing information. This dependency can affect our ability to discover, rationalize, and imagine, as we forgo the steps that build and append to our cognitive repositories.

Chapters:

00:00 Introduction and Overview
03:24 The Evolution of AI Tools and the Decline in Competency
06:42 The Importance of Fundamental Knowledge in AI
17:40 The Drawbacks of Over-Reliance on AI Tools
23:01 The Decline in Attention Span and Cognitive Perseverance
28:14 Balancing AI and Human Intelligence

Podcast is also available on Spotify (https://shorturl.at/LTOsU) and Apple (https://shorturl.at/K4u9f)

6 0