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Top 12 Data Science Leaders to Follow in 2024

Analytics Vidhya

The ‘Top 12 Data Science Leaders List’ serves as a beacon, celebrating these individuals’ exceptional expertise, visionary leadership, and substantial contributions […] The post Top 12 Data Science Leaders to Follow in 2024 appeared first on Analytics Vidhya.

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Mona Mona: A Leader Paving the Way in AI

Analytics Vidhya

Today, we honor Mona Mona, a leader in the field of AI. Her career path, transitioning from architect to specialist, exemplifies her deep expertise […] The post Mona Mona: A Leader Paving the Way in AI appeared first on Analytics Vidhya.

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Databricks named a Leader in the 2024 Forrester Wave for Data Lakehouses

databricks

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.

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IT Leaders Craving Insights on Generative AI Use, Finds New Snow Software SaaS Management Survey

insideBIGDATA

Snow Software, a leader in technology intelligence, unveiled new data suggesting IT leaders are grappling with anxiety over the risks of generative AI despite continued confidence in their software-as-a-service (SaaS) security posture.

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You’re Invited: Innovate Through Data Virtual Summit

Speaker: Logi Analytics

Preview our sessions and sign up to join other data leaders looking to transform the world of analytics. Logi Spark 2021 consists of two days of networking, best practice sessions, and forward-thinking keynotes on the future of data.

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3 Inspirational Stories of Leaders in AI

KDnuggets

Every leader has their origin story, and here are some that might inspire you.

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Capital One’s New Forrester Study Reveals Key Challenges Data Leaders Face Deploying Self-service Data Strategies

insideBIGDATA

Capital One Software released a new commissioned study, "Leverage Self-service Data Strategies to Drive Business Value," by Forrester Consulting that reveals the biggest challenges data leaders face when implementing a self-service data strategy across their organization.

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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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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.

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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

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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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. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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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

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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How to Find and Test Assumptions in Product Development

You'll learn: Why every product leader goes into a new project with untested, hidden assumptions. Watch this webinar with Laura Klein, product manager and author of Build Better Products, to learn how to spot the unconscious assumptions which you’re basing decisions on and guidelines for validating (or invalidating) your ideas.