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We are Excited to Share insights from a data management Industry Expert Mohammad AI-Sogour Executive VP of Shared Services.

National Water Company on navigating data quality and Governance in the AI Era. 

Stay ahead with powerfull strategies for reliable insights for impactfull decision making.

We are Excited to Share insights from a data management

S1E9: Host Mo Weitnauer, Chief Product Officer, interviews Frank Jackson, SVP of Clinical Quality and Payer Solutions, for a thoughtful discussion around data quality. They discuss the importance of data quality as it relates to accuracy, reliability, and completeness, when care delivery for patients is of the utmost importance in today's healthcare landscape.

Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

MRO Exchange

MRO Exchange: Data Quality with Frank Jackson, SVP of Clinical Quality and Payer Solutions

Welcome to "AI with Shaily," where the captivating world of Artificial Intelligence is explored in depth! 🎙️ Your host, Shailendra Kumar, affectionately known as Shaily, is here to guide you through the exciting developments in the realm of Retrieval-Augmented Generation (RAG), a hot topic buzzing in the AI community right now. 

Kicking things off, Shaily introduces a groundbreaking platform from LastMile AI called AutoEval. This innovative tool is set to revolutionize how generative AI applications are tested. AutoEval features synthetic label generation, which enhances training datasets, making it a powerful asset for developers. Shaily reminisces about his early experiences with evaluation models, highlighting how advanced tools like AutoEval, particularly its alBERTa model for assessing relevance and toxicity, would have significantly improved his initial projects. This tool promises to enhance the accuracy and reliability that AI developers strive for. 🚀

Next, Shaily shifts focus to Microsoft Ignite 2024, which is redefining the conversation around scalable, serverless applications using RAG patterns. The sessions at this event delve into practical applications, showcasing how major companies like Toyota and EY are leveraging Azure Cosmos DB to push the limits of Generative AI. This real-world approach emphasizes the tangible benefits of RAG in large-scale projects. 🌐

The discussion then transitions to KMWorld 2024, where a workshop shines a light on the crucial yet often overlooked aspect of RAG systems: knowledge and information architecture. Shaily stresses the importance of taxonomies and metadata in ensuring that AI retrieves the most accurate information. He shares a personal anecdote about a past project where a minor metadata error led to significant misdirection, underscoring the necessity of structured data in AI development. 📊

While RAG systems show great promise in improving AI accuracy, Shaily acknowledges the challenges that accompany this technology. The goal is to integrate real-time information while minimizing 'AI hallucinations.' However, obstacles such as ensuring data quality and managing the complexities of integrating retrieval and generation models remain. ⚠️

As a special bonus tip for AI enthusiasts, Shaily emphasizes the importance of prioritizing data quality. He quotes the adage, "Garbage in, garbage out," urging listeners to be meticulous about the sources their RAG models utilize. 📚

To wrap up the episode, Shaily leaves his audience with a thought-provoking quote: "In God we trust. All others must bring data." He encourages listeners to stay connected through various platforms like YouTube, Twitter, LinkedIn, and Medium for more insights and to engage in discussions about RAG's potential across different industries. He invites everyone to subscribe and share their thoughts in the comments section, eager to hear their insights. 💬

Thank you for tuning in to "AI with Shaily." Until next time, keep innovating and exploring the fascinating world of AI! 🌟

RAG Revolution: Unveiling the Future of AI with Shaily

A fresh perspective on data architecture, advocating for an 'anti-monolith' approach inspired by engineering best practices.
Published at: https://www.eckerson.com/articles/good-data-architecture-anti-monolith

Good Data Architecture - Anti-Monolith - Audio Blog

Today businesses rely on data more than ever, ensuring that information is accurate, actionable, and properly managed can make or break a technology investment. This episode of the HR on the Offensive podcast unpacks the complex, often overlooked role of data quality in HR technology and system implementation. Chris and fellow LACErs Martin Colyer and Becki Lovelady, explores the impact of poor-quality data. Listen now to understand why high data quality is essential and how to sustain it over time. 

How to improve your data quality for business impact

This article by Piotr Czarnas, founder of DQOps, outlines a proven, team-based approach to tackling persistent issues like invalid data, delayed reporting, and inconsistent formats.
Published at:
https://www.eckerson.com/articles/overcoming-the-challenge-of-low-data-quality

Overcoming The Challenge of Low Data Quality - Audio Blog

Despite $180 billion spent on big data tools and technologies, poor data quality remains a significant barrier for businesses, especially in achieving Generative AI goals.
Published at:
https://www.eckerson.com/articles/poor-data-quality-is-a-full-blown-crisis-a-2024-customer-insight-report

Poor Data Quality is a Full-Blown Crisis: A 2024 Customer Insight Report - Audio Blog

This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful.
Published at:
https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation

Streaming Data Governance: Three Must-Have Requirements to Support AI/ML Innovation - Audio Blog

Welcome to "AI with Shaily," hosted by Shailendra Kumar, a passionate guide exploring the exciting world of artificial intelligence and its influence on our daily lives 🤖✨. In this engaging session, Shaily dives into a hot topic stirring the AI community: what really limits the performance of Generative AI models? Is it the massive size of models like GPT, or is the real challenge hidden in the quality and diversity of the data these models are trained on? 📊🤔

Shaily highlights recent trends suggesting that data quality might be the true bottleneck, often overshadowed by the hype around model size. Companies like Gretel are pioneering synthetic data for 2025 — data that perfectly simulates real-world scenarios without privacy issues or inaccuracies. This synthetic data acts as a clever solution to the persistent problem of data scarcity, enhancing training and filling critical gaps in datasets 🔍🛠️.

On the flip side, a revealing KPMG survey shows that 85% of business leaders identify poor data quality as the biggest obstacle to their AI ambitions. Messy, biased, or incomplete data can mislead AI systems, causing errors or flawed decisions. This means that before focusing on building larger, more complex AI models, we must ensure that the data feeding these models is clean, diverse, and reliable 🧹⚠️.

Shaily also points out a striking gap between AI enthusiasm and real-world implementation: only about 25% of organizations have deployed Generative AI solutions at scale. This lag could stem from unprepared data ecosystems and analytics infrastructure — akin to owning a race car but lacking the right fuel or track to race on 🏎️⛽.

Sharing a personal anecdote, Shaily recalls how a small improvement in data cleaning dramatically boosted a model’s accuracy from mediocre to remarkable. This experience cemented his belief that data quality and diversity are not just supportive elements but the very foundation of AI success. While big models grab headlines, data is the unsung hero deserving the spotlight 🌟💡.

As a practical takeaway, Shaily advises AI developers to invest in data curation and explore synthetic data tools. These tools help protect privacy, balance datasets, and enhance model performance without endless data collection — a smart strategy for the future 🛡️📈.

He wraps up with a thought-provoking question: Is the future of AI more about feeding smarter brains with better data than just building bigger brains? He invites the audience to share their thoughts and join the conversation 💬🤝.

Ending on an inspiring note, Shaily quotes, “Data is the new oil, but quality is the refinery,” emphasizing the crucial role of data refinement in AI’s success 🛢️🔧.

Stay connected with Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for regular AI insights and updates. Don’t forget to subscribe and share your perspectives — your voice shapes the future of AI! Until next time, keep curious and keep innovating! This is AI with Shaily, signing off 👋🚀.

AI with Shaily: Why Data Quality Beats Model Size in Generative AI Performance

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

RADIO FOR THE HEALTHCARE INDUSTRY
Healthcare NOW Radio and Podcast Network offers discussions on the latest developments and trends impacting the industry including: health tech, health IT, healthcare innovation, healthcare policy, healthcare data security, telehealth, interoperability, biotech, med tech, value-based care, pharma, healthcare compliance, and much more. Shows are hosted by industry thought leaders. Guests are a "who's who" across the healthcare spectrum.  The listening audience is predominantly physician and hospital-based, and the healthcare industry at large.

Are you an HR leader grappling with the complexities of HR tech, transformation, or change management? Then, listen to the People Agenda podcast (previously the HR on the Offensive podcast) for cutting-edge insights, actionable strategies, and real-world success stories to tackle your biggest HR challenges.

In each episode, we dive into the latest trends, expert advice, and practical solutions to help you stay ahead in a rapidly evolving workplace.

Whether you're looking to drive adoption of new technology, lead organisational change, or simply optimise your HR strategy, you'll leave every episode with fresh perspectives and tools to take your initiatives to the next level.

Subscribe now and join us on the journey to reshape the future of HR

New tracks tagged #DataQuality