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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies.

Building 278
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Looking Back on Our First Women Leaders in Technology Event

Cloudera

It also provided a moment for us to launch an important initiative for Cloudera: our Women Leaders in Technology (WLIT) initiative. Building Inclusive Data-Driven Organizations: Leadership Strategies for the Modern Workplace As it stands, women currently account for approximately 25% of the technology workforce.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Summary Building a database engine requires a substantial amount of engineering effort and time investment. Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. Go to dataengineeringpodcast.com/dagster today to get started.

Database 162
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Precisely Women in Technology: Meet Mahima

Precisely

While this number has grown over the years, it still indicates that technology is a male-dominated industry. Precisely is committed to creating a supportive environment for women to build their careers so that this number can continue growing. As a result, the Precisely Women in Technology (PWIT) network was developed.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Discover the Journeys of Women in Technology

KDnuggets

Learn from those who have paved the way and gain practical advice on how to build a successful technology career.

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6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

KDnuggets

Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. Stakeholder Engagement 👥 Learn strategies to secure buy-in from sales, marketing, and executives.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.

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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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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.