insideBIGDATA
APRIL 1, 2024
In this contributed article, Emmet Townsend, VP of Engineering at Inrupt, discusses how cloud migration is just one step to achieving comprehensive data quality programs, not the entire strategy.
KDnuggets
APRIL 3, 2024
Here’s how to stand out from the competition, impress employers, and get a job in data analytics.
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Analytics Vidhya
APRIL 5, 2024
Introduction Python is the magic key to building adaptable machines! Known for its beginner-friendliness, you can dive into AI without complex code. Python’s superpower? A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.
databricks
APRIL 5, 2024
Introduction The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
insideBIGDATA
MARCH 30, 2024
In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with Rudina Seseri from Glasswing Ventures to answer the question: "What has Glasswing Ventures done for the company beyond capital investment?" Rudina describes how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will
KDnuggets
APRIL 1, 2024
Start your AI journey today with these courses from Google.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Adrian Bridgwater for Forbes
APRIL 2, 2024
When we’re really enriched with system level infused AI, users may not even know it. If you want to know, look in the IT room & see if they’re having a herbal infusion.
insideBIGDATA
APRIL 4, 2024
In this contributed article, Janne Saarela, a Strategy Analyst at JFrog, highlights parallels between autonomous driving and software development, showcasing a shared evolution towards reduced human involvement through automation.
KDnuggets
APRIL 1, 2024
This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.
Analytics Vidhya
MARCH 30, 2024
Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks. LLMs are versatile, capable of handling tasks such as Text Classification, Summarization, Sentiment Analysis, and Topic Modelling, owing to their extensive pre-training.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Adrian Bridgwater for Forbes
APRIL 3, 2024
Being able to authenticate a workload identity means we can authenticate access to other services, connection points and supporting system or data fabric resources.
databricks
APRIL 3, 2024
Databricks Unity Catalog ("UC") provides a single unified governance solution for all of a company's data and AI assets across clouds and data.
KDnuggets
APRIL 4, 2024
These GitHub repositories provide valuable resources for mastering computer science, including comprehensive roadmaps, free books and courses, tutorials, and hands-on coding exercises to help you gain the skills and knowledge necessary to thrive in the ever-evolving field of technology.
Analytics Vidhya
APRIL 5, 2024
Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. This decision, despite a long-standing partnership with Oracle, marks a significant shift in Cohere’s approach to cloud deployment. Let’s explore the features and implications of this new model.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Data Science Dojo
APRIL 5, 2024
AGI (Artificial General Intelligence) refers to a higher level of AI that exhibits intelligence and capabilities on par with or surpassing human intelligence. AGI systems can perform a wide range of tasks across different domains, including reasoning, planning, learning from experience, and understanding natural language. Unlike narrow AI systems that are designed for specific tasks, AGI systems possess general intelligence and can adapt to new and unfamiliar situations.
insideBIGDATA
APRIL 3, 2024
In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues. To address these challenges, leaders should focus on three strategies: prioritize data hygiene, leverage zero-party data for personalized customer experiences, and apply AI cautiously to ensure the delivery of accurate and trustworthy product recommendations.
KDnuggets
APRIL 2, 2024
Dive into the 50 most popular deep-learning questions to get you ready for your interview.
Analytics Vidhya
APRIL 4, 2024
Apple researchers have unveiled ReALM, an innovative AI system designed to enhance voice assistants‘ understanding of on-screen content and context. The AI enables more natural interactions with devices by converting visual elements into text, thereby transforming user experience. Let us explore this new technology and also find out how it compares with existing models such […] The post Apple Launches ReALM Model that Outperforms GPT-4 appeared first on Analytics Vidhya.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Eugene Yan
MARCH 30, 2024
Evals for classification, summarization, translation, copyright regurgitation, and toxicity.
insideBIGDATA
APRIL 5, 2024
In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, shows that when AI steps into predictive maintenance, it supercharges this capability. It offers more profound insights, accurate predictions and the ability to act swiftly. This blend of technology enhances operational efficiency and paves the way for a deeper exploration into how such innovations can transform the business landscape.
KDnuggets
APRIL 5, 2024
The C-suite of business, technology, and data executives sees a new addition – the CAIO (Chief AI Officer). But what does this role mean for the organizations? Let’s find out!
Analytics Vidhya
APRIL 4, 2024
Replit, an AI-driven software creation platform, has enhanced its Integrated Development Environment (IDE) through AI integration. At the Developer Day event held on April 2nd, Replit launched an innovative AI code repair tool and a collaborative platform named Replit Teams on its IDE. Replit Teams aims to provide developers with a new experience in collaboration […] The post Replit Launches AI Code Repair Tool appeared first on Analytics Vidhya.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
databricks
APRIL 3, 2024
In the era of rapid data growth and increasing pressure on financial institutions to utilize data for AI or genAI models, data governance.
insideBIGDATA
APRIL 4, 2024
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
KDnuggets
APRIL 2, 2024
Explore some of Python’s sharp corners by coding your way through simple yet helpful examples.
Analytics Vidhya
APRIL 1, 2024
Introduction Mastering any() and all() functions in Python is essential for efficiently handling collections such as lists and tuples. These functions provide a swift means to assess whether elements within a collection satisfy specific conditions, leading to neater and more streamlined code. Leveraging these tools can greatly ease the decision-making process within your code by […] The post any() and all() in Python with Examples appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
databricks
APRIL 4, 2024
Innovation in the Power and Utilities industry is all but a necessary step to move forward with the evolution of the national power.
Dataconomy
APRIL 5, 2024
Creating apps for startups is primarily the carefully thought-out tasks that make up the software development process. By having an effective strategy and making timely changes based on the data obtained, startups have a good chance of expanding scale and optimizing profits. In addition, software architecture consulting services are often preferred to work with startups.
KDnuggets
APRIL 2, 2024
Data science’s essence lies in machine learning algorithms. Here are ten algorithms that are a great introduction to machine learning for any beginner!
Analytics Vidhya
MARCH 31, 2024
Introduction In recent years, Graph Neural Networks (GNNs) have emerged as a potent tool for analyzing and understanding graph-structured data. By leveraging the inherent structure and relationships within graphs, GNNs offer a unique approach to solving a wide range of machine learning tasks. In this blog, we will explore this concept from theory to GNN […] The post Getting Started with GNN Implementation appeared first on Analytics Vidhya.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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