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Defining A Strategy For Your Data Products

Data Engineering Podcast

In this episode Ranjith Raghunath shares his thoughts on how to build a strategy for the development, delivery, and evolution of data products. Can you describe what is encompassed by the idea of a data product strategy? Which roles in an organization need to be involved in the planning and implementation of that strategy?

BI 162
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The Ultimate AI Strategy Playbook

KDnuggets

Many businesses rush to adopt AI but fail due to poor strategy. This post serves as your go-to playbook for success.

97
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Data Scientist’s Insights: Strategies for Innovation and Leadership

Analytics Vidhya

With their expertise in statistics, machine learning, AI, and programming, they are able to […] The post Data Scientist’s Insights: Strategies for Innovation and Leadership appeared first on Analytics Vidhya.

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Why Your Team Needs To Implement Data Quality For Your AI Strategy

Seattle Data Guy

Companies that range from start-ups to enterprises are looking to implement AI and ML into their data strategy. It will make the outputs of these models useless… Read more The post Why Your Team Needs To Implement Data Quality For Your AI Strategy appeared first on Seattle Data Guy.

Data 130
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The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

Based on insights derived from industry professionals, this e-book uses first-hand experiences to help inform your analytics strategy. If you’ve been wondering how to invest in analytics, this research-based guide will take you through the 4 steps to finding the right solution for your application that will drive the most value.

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Data enrichment strategies in Apache Flink

Waitingforcode

Data enrichment is a crucial step in making data more usable by the business users. Doing that with a batch is relatively easy due to the static nature of the dataset. When it comes to streaming, the task is more challenging.

Datasets 130
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The AI Transformation Strategy in the GenAI Era

KDnuggets

Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

Gain inspiration from real-world success examples from top digital companies, offering invaluable insights into their winning strategies. Explore proven solutions, laying the groundwork for triumphant product launches.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Understand how your work contributes to your company's strategy and learn to apply frameworks to ensure your features solve user problems that drive business impact. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. These strategies are critical to ensure reliability and efficacy in real-world applications.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

The session aims to bridge the gap between an isolated focus on development and a holistic view of product strategy. Takeaways: Understand the transformative power of strategic DX improvements in fostering a product-oriented strategy, driving up customer satisfaction and revenue.