Jon Cooke, founder of Dataception and creator of the Data Product Pyramid, discusses using specialist small language models and graphs to accelerate data product ecosystems. Topics include deconstructed Encoder/Decoder Transformers, data product management, tech to eliminate data grunt work, and building sophisticated analytics in real-time.
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Quick takeaways
Accelerating data analytics by bridging the gap between business requirements and technical implementation.
Streamlining data analytics by accessing and analyzing data without complete onboarding and transformation.
Empowering business users through natural language interaction and specialized language models to accelerate the delivery of analytics insights.
Deep dives
Accelerating Delivery and Reducing Friction
The podcast episode discusses the importance of accelerating the delivery of data analytics and reducing friction in the process. It emphasizes the need to bridge the gap between business requirements and technical implementation. The episode highlights the challenges of complex data estates, organizational decision-making, and the importance of clearly defining the desired end state. The speaker shares insights about a data product framework that aims to streamline the process by using natural language interaction and employing agents to facilitate communication and rapid prototyping. The focus is on achieving agility, speed, and low cost in delivering data-driven insights.
Unpacking Data Archaeology and Overcoming Legacy Systems
The episode delves into the challenges of data archaeology and untangling the complexities of legacy systems. It highlights the need to work with existing data infrastructures and provides a solution for rapidly accessing and analyzing data without the need for complete onboarding and transformation. The podcast discusses the benefits of using sandbox environments or samples to gain quick insights into the data's quality, significance, and suitability for specific use cases. It emphasizes the importance of showcasing analytics capabilities early on to drive efficient decision-making and avoid lengthy development cycles.
Driving Business Outcomes Through Natural Language Interaction
The podcast explores the use of natural language interaction to empower business users in driving analytics outcomes. It discusses leveraging specialized language models, such as LLMs, to facilitate the design, prototyping, and deployment of data products through natural language queries. The episode emphasizes the ability to quickly spin up analytics components, generate forecasts, and create various analytics outputs by interacting with the LLM. It highlights the importance of an end-to-end process that involves understanding business needs, achieving clarity in data requirements, and utilizing the LLM as a tool for accelerating the delivery of analytics insights.
Adopting a Business-Driven Analytics Approach
The podcast episode discusses the importance of adopting a business-driven approach to analytics. It emphasizes the need for analytics teams to understand the business and its processes in order to deliver valuable data products. By focusing on the business use case and aligning data and analytics with it, teams can create products that are more likely to be adopted and have a positive impact. This approach requires empowered teams that can ask pointed questions, challenge assumptions, and act as trusted advisors to the business stakeholders. By adopting a product management mindset and forming multi-disciplinary teams, organizations can accelerate the development and adoption of data products.
The Changing Role of Analytics Professionals
The podcast delves into the evolving role of analytics professionals and the need to adapt to a changing landscape. It highlights the importance of moving beyond a technology-focused perspective to one that is business-driven. Analytics professionals are urged to transcend their technical expertise and become trusted advisors who can bridge the gap between business and technology. This involves shifting to a product management approach, focusing on creating value and driving the business conversation. By effectively communicating the benefits and impact of data-driven solutions, analytics professionals can facilitate the adoption of these solutions across the organization.
Jon Cooke is the owner/founder of Dataception a Data, Analytics, and Data Product company, and the creator of the Data Product Pyramid, an adaptive Data Product operating model.
MLOps podcast #208 with Jon Cooke, CTO of Dataception, Micro Graph Transformer - Specialist Small Language Models Using Graphs to Accelerate Data Product Eco-systems.
// Abstract
Specialist deconstructed Encoder/Decoder Transformers along with data product management and tech to vastly accelerate prototyping, building, and deploying business-facing data products at high speed and low cost.
// Bio
Jon is a 20-year veteran in Data, Analytics, and AI and is a Data product specialist. After many times seeing the massive time, friction, failures, and costs typically associated with data and analytics initiatives, Jon founded Dataception. Its mission is to use tech to eliminate the data grunt and work together with data product management and AI to build and iterate sophisticated, business-facing analytics in real-time in front of the business.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
AI in Production Conference: https://home.mlops.community/public/events/ai-in-production-2024-02-15
Website: www.dataception.com
https://www.linkedin.com/events/generativeai-dataproductsandbus7114951387100184576/theater/
https://www.linkedin.com/events/12thevalueofadataproductmanagem7110920848416366594/comments/
https://www.linkedin.com/events/howtoactuallyusedataproductstod7113570339535638528/theater/Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113: https://www.youtube.com/watch?v=JxVS3-4wyKc
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Timestamps:
[00:00] AI in Production Conference teaser
[02:12] Jon's preferred coffee
[02:24] Takeaways
[03:48] Please like, share, and subscribe to our MLOps channels!
[04:02] Backpacking, traveling, and almost cast for Lord of the Rings
[06:40] Jon's tech background
[11:07] Dataception
[15:05] Data Challenges: Delays & Causes
[16:46] Data Virtualization for Agility
[19:47] Large Company Change Challenges
[21:28] Sales Tools Migration Challenges
[24:44] Data and ML Integration
[28:13] Data Roles Evolution
[32:20] Tech for Prototyping Acceleration
[35:22] LLM Enables Natural Language Data Analytics
[36:36] Ensuring Reliable AI Information
[38:20] Proxy Routing and Intelligent Agents
[42:41] Human API for Data
[46:49] Engineer Success with Growth
[48:15] Tech CEO Balancing Act
[53:59] Iterative Development for Product-Market Fit
[56:16] Wrap up
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