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.
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DataOps for Generative AI Data Pipelines, Part III: Team Collaboration - Audio Blog
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Explore the reasons for data engineers to collaborate with data scientists, machine learning (ML) engineers, and developers on DataOps initiatives that support GenAI.Published at:https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-iii-team-collaborationDe către Eckerson Group
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Data Engineering for GenAI: Three Criteria to Evaluate Pipeline Tools - Audio Blog
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This blog explores three criteria to evaluate tools that manage unstructured data pipelines for GenAI.Published at:https://www.eckerson.com/articles/data-engineering-for-genai-three-criteria-to-evaluate-pipeline-toolsDe către Eckerson Group
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12 Pitfalls to Avoid When Implementing Data Products - Audio Blog
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If your data team wants to implement data products, it would be wise to avoid these 12 pitfalls that can torpedo an initiative.Published at:https://www.eckerson.com/articles/12-pitfalls-to-avoid-when-implementing-data-productsDe către Eckerson Group
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Why Do I Need a Data Marketplace When I Have a Data Catalog? - Audio Blog
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This article compares data catalogs and data marketplaces and argues that you need both and will soon have both as vendors add data marketplace extensions.Published at:https://www.eckerson.com/articles/why-do-i-need-a-data-marketplace-when-i-have-a-data-catalogDe către Eckerson Group
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Driving Results with Conversational BI: Best Practices for Power and Casual Users - Audio Blog
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This blog defines conversational BI, why companies should consider it, and how their power and casual users can best get the desired results.Published at:https://www.eckerson.com/articles/driving-results-with-conversational-bi-best-practices-for-power-and-casual-usersDe către Eckerson Group
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Data Engineering for GenAI: How to Optimize Data, Pipelines, and Governance - Audio Blog
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10:32
Data engineering is now considered a crucial job in IT as Generative AI, the hottest technology of this decade, relies on data engineers to provide accurate inputs.Published at:https://www.eckerson.com/articles/data-engineering-for-genai-how-to-optimize-data-pipelines-and-governanceDe către Eckerson Group
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Why and How Data Engineers Will Enable the Next Phase of Generative AI - Audio Blog
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Data engineers and data scientists must manage pipelines for unstructured data to ensure healthy inputs for language models.Published at:https://www.eckerson.com/articles/why-and-how-data-engineers-will-enable-the-next-phase-of-generative-aiDe către Eckerson Group
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DataOps for Generative AI Data Pipelines, Part II: Must-Have Characteristics - Audio Blog
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Companies that adopt DataOps increase the odds of success by making GenAI data pipelines what they should be: modular, scalable, robust, flexible, and governed.Published: https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-ii-must-have-characteristicsDe către Eckerson Group
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Achieving Success with Data Products: An Interview with Henrik Strandberg
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Most data leaders want to deliver data products, but few are doing it. Let's face it: most data teams today function as internal service bureaus that fulfill customer requests that arrive via ticketing systems, email, handwritten notes, or calls from colleagues looking for a favor. Most work double time to keep their request backlogs from balloonin…
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Achieving Fusion: How GenAI and Data Engineering Help One Another - Audio Blog
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GenAI can help data engineers become more productive, and data engineering can help GenAI drive new levels of innovation.Published at:https://www.eckerson.com/articles/achieving-fusion-how-genai-and-data-engineering-help-one-anotherDe către Eckerson Group
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Improving GenAI Accuracy with Master Data Management - Audio Blog
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Discover how master data management (MDM) provides language models with high-quality enterprise data to improve their response accuracy.Published at:https://www.eckerson.com/articles/improving-genai-accuracy-with-master-data-managementDe către Eckerson Group
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GenAI-Driven Analytics: Product Evaluation Criteria for Conversational BI - Audio Blog
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Explore our four primary criteria for evaluating conversational BI products.Published at:https://www.eckerson.com/articles/genai-driven-analytics-product-evaluation-criteria-for-conversational-biDe către Eckerson Group
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DataOps for Generative AI Data Pipelines, Part I: What and Why - Audio blog
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The success of Generative AI depends on fundamental disciplines like DataOps.Published at:https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-i-what-and-whyDe către Eckerson Group
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Data Governance In The Era Of Generative AI - Audio Blog
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With the increasing adoption of Generative AI, learn how data governance will add value to and benefit from Generative AI.Published at:https://www.eckerson.com/articles/data-governance-in-the-era-of-generative-aiDe către Eckerson Group
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Meeting the Data Where It Is: Time for the Business to Step Up - Audio Blog
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"Meet the business where it is." If you're on the data team, that's what you're expected to do to empower stakeholders with data. But how far should you go to meet the business? And shouldn’t the business be expected to move a little toward meeting the data where it is?Published at:https://www.eckerson.com/articles/meeting-the-data-where-it-is-time…
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The EU AI Act and the Emergence of New Global Standards - Audio Blog
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The European Union recently passed the first of its kind legal framework on the development, use, and governance of artificial intelligence. It lays out rules and standards with the aim of ensuring technologies are safe and transparent, and do not violate the fundamental rights of an individual.Published at:https://www.eckerson.com/articles/the-eu-…
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Mitigating AI’s Unintended Consequences - Audio Blog
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Most organizations are committed to responsible and ethical use of AI. Yet anticipating unintended consequences before designing and implementing AI can be challenging. This framework and process helps evaluate short-term and long-term impacts across multiple dimensions so you can mitigate AI’s unintended consequences.Published at:https://www.ecker…
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Interview with Tiffany Perkins-Munn
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It's not easy being the head of data & analytics at a large organization. You must align a large team across multiple disciplines; you must deal with oodles of legacy systems and tools that hamper innovation; and you must deliver business value fast to keep executives at bay and your job intact. You also need to recruit dynamic managers who can pus…
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A People-First Approach to Developing Data Literacy - Audio Blog
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Adopting community of practice principles, along with coaching and mentoring, is a practical approach to fostering and cultivating data literacy.Published at:https://www.eckerson.com/articles/a-people-first-approach-to-developing-data-literacyDe către Eckerson Group
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The Next Wave of Generative AI: Domain-Specific LLMs - Audio Blog
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This blog examines the upcoming trend of domain-specific LLMs and evaluates three different methods of implementation.Published at:https://www.eckerson.com/articles/the-next-wave-of-generative-ai-domain-specific-llmsDe către Eckerson Group
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Machine Learning and Streaming Data Pipelines, Part I: Definitions and Architecture - Audio Blog
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Many machine learning (ML) use cases center on real-time calculations. This article defines streaming ML and its architectural components.Published at:https://www.eckerson.com/articles/machine-learning-and-streaming-data-pipelines-part-i-definitions-and-architectureDe către Eckerson Group
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Organizing for Success Part III: How to Organize and Staff Data Analytics Teams - Audio Blog
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Companies need to invest heavily in teams and people, both at corporate and in the field, if they want to become a data-driven organization.Published at:https://www.eckerson.com/articles/organizing-for-success-part-iii-how-to-organize-and-staff-data-analytics-teamsDe către Eckerson Group
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The Continuing Evolution Of Data Management - Audio Blog
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Data management practices have changed substantially since the early 1990s and the dawn of data warehousing.Published at:https://www.eckerson.com/articles/the-continuing-evolution-of-data-managementDe către Eckerson Group
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The Path To Modern Data Governance - Audio Blog
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7:33
Conventional data governance conflicts with today’s world of self-service analytics and agile projects. Published at:https://www.eckerson.com/articles/modern-data-governance-problemsDe către Eckerson Group
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Trends for 2024: Our Team Gazes into the Crystal Ball - Audio Blog
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Let's reflect on the events of the past year and prognosticate on what may transpire in the months ahead.Published at:https://www.eckerson.com/articles/trends-for-2024-our-team-gazes-into-the-crystal-ballDe către Eckerson Group
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The Data Leader’s Guide to Generative AI, Part I: Models, Applications, and Pipelines - Audio Blog
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Data leaders must prepare their teams to deliver the timely, accurate, and trustworthy data that GenAI initiatives need to ensure they deliver results. They can do so by modernizing their environments, extending data governance programs, and fostering collaboration with data science teams.Published at:https://www.eckerson.com/articles/the-data-lead…
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A Fresh Look at Data Modeling Part 2: Rediscovering the Lost Art of Data Modeling - Audio Blog
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11:28
Data modeling is a core skill of data engineering, but it is missing or inadequate in many data engineering teams. These teams focus on moving data with little attention to shaping the data. They engineer processes, not products. Full data engineering is both process and product engineering, and that calls for data modeling.Published at:https://www…
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Data Products Part II: Data Products Require Product Thinking - Audio Blog
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7:57
The hardest part about implementing data products is fostering a product mindset among the people responsible for defining, governing, building, and shipping data products. It’s also important that an organization establish processes to facilitate the work of the product team and review boards.Published at:https://www.eckerson.com/articles/data-pro…
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A Fresh Look at Data Modeling Part 1: The What and Why of Data Modeling - Audio Blog
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Many organizations abandoned data modeling as they embraced big data and NoSQL. Now they find that data modeling continues to be important, perhaps more important today than ever before. With a fresh look you’ll see that today’s data modeling is different from past practices – much more than physical design for relational data.Published at:https://…
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Data Democratization and the Duties of Data Citizenship - Audio Blog
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6:28
Data democratization is the buzzword to describe empowering enterprise stakeholders with data. While there have been advances in data management, governance, and analytics, something keeps getting in the way of achieving data democratization.Published at:https://www.eckerson.com/articles/data-democratization-and-the-duties-of-data-citizenship…
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Generative AI Needs Vigilant Data Cataloging and Governance - Audio Blogs
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Our industry’s breathless hype about generative AI tends to overlook the stubborn challenge of data governance. Data catalogs address this challenge by evaluating and controlling the accuracy, explainability, privacy, IP friendliness, and fairness of GenAI inputs.Published at:https://www.eckerson.com/articles/generative-ai-needs-vigilant-data-catal…
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Why and How to Enable Data Science with an Independent Semantic Layer - Audio Blog
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The need for an independent semantic layer continues to rise as data science gains traction in the enterprise. Its five primary elements—metrics, caching, metadata management, APIs, and access controls—support AI/ML use cases as part of data science projects.Published at: https://www.eckerson.com/articles/why-and-how-to-enable-data-science-with-an-…
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Weighing the Risk and Reward of AI: A Non-Technical Guide for Business Leaders - Audio Blog
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Business leaders can address AI bias and use it to have rational discussions about management and human bias.Published at: https://www.eckerson.com/articles/weighing-the-risk-and-reward-of-ai-a-non-technical-guide-for-business-leadersDe către Eckerson Group
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An Architectural View Of Metadata Management - Audio Blog
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13:00
Most organizations view data as an asset to be actively managed with standards, controls, and discipline. Yet, they are passive and casual about metadata. Data is managed. Metadata happens. As data management becomes more complex, metadata management is becoming an essential discipline. It is time to think about metadata management from an architec…
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Analyst Series: Should AI Bots Build Your Data Pipelines?
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10:21
Kevin Petrie, the Vice President of Research at Eckerson Group, and Dan O’Brien, research analyst, discussed large language models (LLMs), which are neural networks that analyze text to predict the next word or phrase. These models use training data, often from the internet, to understand word relationships and provide accurate answers to natural l…
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The New Data Pipeline For Generative AI: Where And How It Works - Audio Blog
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7:06
Generative AI initiatives require new data pipelines that prepare text files for querying by language models. Data engineers, scientists, and other stakeholders collaborate to design and implement these pipelines, which span text sources, tokens, vectors, vector databases, and LMs.Published at:https://www.eckerson.com/articles/the-new-data-pipeline…
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Analyst Series - Operating Models for Data & Analytics: How to Align Resources Across the Enterprise
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15:40
Dan and Wayne discussed the concept of data and analytics operating models, which refers to how organizations organize their data and analytics resources for alignment and efficiency.De către Eckerson Group
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Driving ROI With Master Data Management, Part III: Project Iteration - Audio Blog
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7:52
This final blog in our series on the ROI of master data management recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project.Published: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-iii-project-iteration…
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AIThe Opportunity And Risk Of Generative AI, Part III: Responsible AI Ethics - Audio Blogs
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Responsible AI ethical principles provide a clear, unifying purpose for the technological, business, and social goals of AI initiatives.Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-iii-responsible-ai-ethicsDe către Eckerson Group
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Let’s Be Clear: A Data Asset Is Not A Data Product - Audio Blog
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9:07
Most definitions of a data product conflate it with a data asset. The only way to turn a data asset into a data product is to publish it in a data store along with metadata about subscription and delivery options, and terms of service that specify a bidirectional contract between data consumer and producer.Published at: https://www.eckerson.com/art…
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The Opportunity and Risk of Generative AI Part II - Audio Blogs
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Responsible AI can help data leaders comply with the fast-evolving regulatory environment of data and artificial intelligence.Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-ii-how-responsible-ai-assists-complianceDe către Eckerson Group
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Enterprise Data And The Taming Of The Generative AI Frontier - Audio Blog
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US frontier history had races, risks, and rewards. Generative AI's future will follow a similar path.Published at: https://www.eckerson.com/articles/enterprise-data-and-the-taming-of-the-generative-ai-frontierDe către Eckerson Group
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Analyst Series - Data Fabric: The Next Step in the Evolution of Data Architectures
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Dan and Jay discussed the concept of Data Fabric, an automated and AI-driven approach to managing modern data environments.De către Eckerson Group
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Collaboration Podcast: The Future of ML Governance and Data Management with Kevin Petrie
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Simba Khadder and Kevin Petrie discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.De către Eckerson Group
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Driving ROI with Master Data Management, Part II: Your First Project - Audio Blog
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10:08
Learn how to attain an optimal return on investment (ROI) with MDM by choosing the appropriate architectural strategy and evaluating progress during the initial project implementation.Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-ii-your-first-projectDe către Eckerson Group
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Four Traps to Avoid When Developing Data Products - Audio Blogs
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As organizations strive to meet the ever-growing demand for data, they are adopting data products to streamline delivery and ensure solutions provide value to business stakeholders. Learn about four traps that can disrupt data product development and how to avoid falling into them.Published at: https://www.eckerson.com/articles/four-traps-to-avoid-…
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The Opportunity and Risk of Generative AI Part I: A Nuclear Explosion - Audio Blog
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Generative AI brings a promise to improve lives in a blistering innovation race, but also a threat to people, corporations, and even nations. Data analytics leaders must understand the risks of generative AI, both societal and business-related, to use it positively and avoid the destructive consequences seen with nuclear energy development.Publishe…
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DataOps In Data Engineering - Audio Blog
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8:44
The unbundling of the data ecosystem is causing organizations to “duct tape” products and frameworks together to build their solutions and data delivery processes. Organizations fail to build and deploy end-to-end, automated, repeatable data-driven systems, ignoring data engineering & dataops principles as well as best practices.Published at: https…
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Should AI Bots Build Your Data Pipelines? Part IV - Audio Blog
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This blog recommends guiding principles for successful implementation of language models to assist data engineering.Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iv-guiding-principles-for-success-with-language-models-and-data-engineeringDe către Eckerson Group
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Should AI Bots Build Your Data Pipelines Part III - Audio Blog
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An emerging approach to generative AI will help data engineering teams achieve much-needed productivity gains while controlling risk.Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iii-the-emergence-of-small-language-models-for-data-engineeringDe către Eckerson Group
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