Sat.Aug 19, 2023 - Fri.Aug 25, 2023

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Data & Analytics Market Evolution Over the Last Decade

insideBIGDATA

In this contributed article, Angel Serrano, Head of Data Science at Santander UK, discusses data and analytics based on periodical surveys over the last 10 years. The article is based on 10 multiple choice questions to 150+ audiences.

Analytics 370
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Snapchat Dreams: A creative playground for Gen Z

Data Science Dojo

In the ever-evolving landscape of social media, once again our attention is captured with its groundbreaking innovation – ‘Snapchat Dreams,’ a foray into the captivating realm of Generative Artificial Intelligence (AI). This leap forward not only demonstrates Snapchat’s commitment to staying at the forefront of technological advancement but also opens up a world of creative possibilities for its users.

AI 369
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Visual BERT Mastery | Unleash Your First Encounter’s Power

Analytics Vidhya

Introduction Google says that BERT is a major step forward, one of the biggest improvements in the history of Search. It helps Google understand what people are looking for more accurately. Visual BERT mastery is special because it can understand words in a sentence by looking at the words before and after them. This helps […] The post Visual BERT Mastery | Unleash Your First Encounter’s Power appeared first on Analytics Vidhya.

Analytics 271
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GPT-4: 8 Models in One; The Secret is Out

KDnuggets

GPT4 kept the model secret to avoid competition, now the secret is out!

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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What Does Real-time Really Mean In Data Analytics?

insideBIGDATA

In this contributed article, Paige Roberts, Open Source Relations Manager for Vertica by OpenText, works to demystify real-time data analytics: understanding definitions, categories, and strategies for unlocking value in the data-driven era.

Analytics 370
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Using MLflow AI Gateway and Llama 2 to Build Generative AI Apps

databricks

To build customer support bots, internal knowledge graphs, or Q&A systems, customers often use Retrieval Augmented Generation (RAG) applications which leverage pre-trained models.

AI 246

More Trending

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How to Ace Data Scientist Professional Certificate Exam

KDnuggets

Gain insights into the certification process and expert tips for passing the certificate exam.

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Data Observability, Essential for your Modern Data Stack

insideBIGDATA

In this contributed article, Mayank Mehra, head of product management at Modak, shares the importance of incorporating effective data observability practices to equip data and analytics leaders with essential insights into the health of their data stacks. Mayank also explains why this is becoming increasingly paramount, given the current trend towards modern, complex, and distributed data infrastructures.

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Introducing "Ask Databricks": Your Direct Line to Our Product Experts!

databricks

We are delighted to announce that we are partnering with our friends at Advancing Analytics to launch an exciting new live streaming series.

Analytics 246
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Top 5 Generative AI Courses to Do in 2023

Analytics Vidhya

Introduction It is imperative to stay up to date on the most recent information and skills connected to generative AI as the demand for skilled employees rises. Here is the top comprehensive selection of courses that cater to beginner-level participants and experienced practitioners seeking to explore artistic possibilities and practical applications of AI technology.

AI 271
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Leveraging XGBoost for Time-Series Forecasting

KDnuggets

Enabling the powerful algorithm to forecast from your data.

Algorithm 262
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New Study Reveals Data Management Is a Top Challenge in the AI Revolution  

insideBIGDATA

According to a new global study conducted by S&P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale.

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VMware-Nvidia Dovetail Core Infrastructure To Accelerate Generative AI

Adrian Bridgwater for Forbes

VMware is now continuing its systems level development by working further with Nvidia to deliver core services that underpin new AI delpoyments.

AI 246
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OpenAI Unleashes Custom Power with GPT-3.5 Turbo’s Fine-Tuning

Analytics Vidhya

In the ever-evolving world of artificial intelligence, OpenAI has unleashed a game-changing update that’s set to redefine how we interact with machines. The new kid on the block is GPT-3.5 Turbo, bringing the power of fine-tuning to the forefront. This means that the AI, known for its text-generation prowess, can now be customized to suit […] The post OpenAI Unleashes Custom Power with GPT-3.5 Turbo’s Fine-Tuning appeared first on Analytics Vidhya.

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How to Modernize Manufacturing Without Losing Control

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

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Things You Should Know When Scaling Your Web Data-Driven Product

KDnuggets

Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.

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Processing Uncommon File Formats at Scale with MapInPandas and Delta Live Tables

databricks

An assortment of file formats In the world of modern data engineering, the Databricks Lakehouse Platform simplifies the process of building reliable streaming.

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Why AI Is On The ‘Edge’

Adrian Bridgwater for Forbes

For language and technology purists, edge computing is what happens ‘on’ IoT devices, but you can say edge IoT without risk of public shaming.

AI 246
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Microsoft Azure vs. Google Cloud Platform

Analytics Vidhya

Introduction Microsoft Azure and Google Cloud Platform are the two top cloud computing giants. It is found that among the two, Microsoft Azure proposes the most effective and adaptable software solution, while Google Cloud Platform (GCP) presents sophisticated big data analytics solutions and facilitates simple integration with other vendor products.

Azure 271
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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

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Brewing a Domain-Specific LLM Potion

KDnuggets

Make your LLM an expert in your field.

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How ActionIQ Integrates with Databricks Lakehouse Part Two: Step-by-Step Workflow to Activate Propensity Modeling

databricks

In our previous blog post, we discussed how ActionIQ partners with Databricks to address the key challenge organizations face in achieving their personalization.

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A Gentle Introduction to Lists and Data Frames in R

Machine Learning Mastery

Vectors in R are supposed to be of homogeneous data type. You can use a list as the container if there are mixed data types, such as numbers and strings. The list and data frame are closely related in R. The data frame is probably more useful because it reflects how we usually collect statistics. […] The post A Gentle Introduction to Lists and Data Frames in R appeared first on MachineLearningMastery.com.

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Python Applications | Harnessing Multiprocessing for Speed and Efficiency

Analytics Vidhya

Introduction Using the full capabilities of contemporary multi-core processors, multiprocessing is a fundamental idea in computer science that enables programs to run numerous tasks or processes concurrently. By separating tasks into several processes, each with its own memory space, multiprocessing enables software to overcome performance constraints, in contrast to conventional single-threaded techniques.

Python 271
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The 2nd Generation of Innovation Management: A Survival Guide

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?

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Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries

KDnuggets

3 Python libraries for scientific computation you should know as a data professional.

Python 250
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Introducing the latest integrations available in Partner Connect

databricks

In today's data-driven world, organizations continuously seek innovative solutions to enhance their data intelligence and security. With that in mind, we are excited.

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Operations on Vectors in R

Machine Learning Mastery

Last Updated on August 27, 2023 Vectors in R is the native way of handling data. In addition to the vector operations you saw in the linear algebra textbook, R supports a lot more. In this post, you will learn about: How to manipulate a vector How to treat vectors as sets Let’s get started. […] The post Operations on Vectors in R appeared first on MachineLearningMastery.com.

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Windows 11 and Microsoft Copilot Announce Latest AI Updates

Analytics Vidhya

The technological landscape is shifting, and artificial intelligence (AI) is steering the wheel. Microsoft, a pioneer in the AI realm, is unleashing the power of AI in its latest creation, Windows 11. As the highly anticipated Copilot feature begins to take its maiden steps, it’s just the tip of the iceberg. With a slew of […] The post Windows 11 and Microsoft Copilot Announce Latest AI Updates appeared first on Analytics Vidhya.

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How to Achieve High-Accuracy Results When Using LLMs

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

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How Cloud Computing Enhances Data Science Workflows

KDnuggets

Cloud computing offers the efficiency, scalability, and security data science workflows need. Discover how it provides these benefits here.

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FraudGPT: The dark evolution of ChatGPT into an AI weapon for cybercriminals in 2023

Data Science Dojo

ChatGPT has become popular, changing the way people work and what they may find online. Many people are intrigued by the potential of AI chatbots, even those who haven’t tried them. Cybercriminals are looking for ways to profit from this trend. Netenrich researchers have discovered a new artificial intelligence tool called “FraudGPT.” This AI bot was created specifically for malicious activities, such as sending spear phishing emails, developing cracking tools, and doing carding.

AI 195
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Surviving in the R Environment

Machine Learning Mastery

R is not only a programming language but also a programming shell with read-eval-print loop (REPL). The shell is how most people use R. But when you drill deeper, knowing more about what’s working behind the scenes is handy. In this post, you will learn: How to manage variables in R How to manage packages […] The post Surviving in the R Environment appeared first on MachineLearningMastery.com.

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AI-Generated Art Denied Copyrights by US Court

Analytics Vidhya

In a key decision that could reshape the realm of art and technology, a US federal judge has ruled against granting copyrights to art pieces generated by artificial intelligence (AI). This verdict, which might have far-reaching implications, could impact the art world, Hollywood studios, and the future of creative ownership. The ruling comes from a […] The post AI-Generated Art Denied Copyrights by US Court appeared first on Analytics Vidhya.

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Apache Airflow® Best Practices: DAG Writing

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!