Sat.Jul 13, 2024 - Fri.Jul 19, 2024

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AI Appreciation Day

insideBIGDATA

Artificial Intelligence Appreciation Day is celebrated on July 16 each year. With discoveries in science, tech, and healthcare, AI offers the possibility of a more evolved future. AI tools already dominate the market making human life much easier. n this special round-up, we've collected a number of commentaries from our friends in the AI industry ecosystem.

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How ChatGPT is Changing the Face of Programming

KDnuggets

Empowering Developers and Transforming Programming Practices

professionals

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Top 18 Companies Hiring Data Professionals through Hackathons

Analytics Vidhya

Introduction Forget endless resumes and interviews! Hackathons are now the new way for companies to find the best data professionals. These intense coding competitions bring together talented folks to tackle tricky problems. It’s a chance to show off your skills and think outside the box under friendly pressure. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.

Analytics 364
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How Long Should You Train Your Language Model?

databricks

How long should you train your language model? How large should your model be? In today's generative AI landscape, these are multi-million dollar.

AI 335
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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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How Private Networks Are Driving the Data-Powered Enterprise of Tomorrow

insideBIGDATA

In this contributed article, Ana Redondo, Product Strategy Lead at Amdocs Technology, explores how enterprises will begin shifting their focus in 2024 to better leverage their data analytics. She explains how this shift in mindset will bring forth an upcoming data revolution. Including how the reservoirs of data, from legacy to next-gen operational technology systems, combined with the troves from the Edge and Network, will provide a new level of insights for enterprises.

Analytics 447
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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

More Trending

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NTT Data Puts Ultralight Touch On Edge AI

Adrian Bridgwater for Forbes

NTT Data is working to create smaller, task-specific AI models that make advanced AI capabilities accessible in edge computing environments across the Internet of Things.

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IT Pros Vote in Inaugural Brand Leader Survey Covering Enterprise Infrastructure for AI

insideBIGDATA

IT Brand Pulse, a trusted source for research, data, and analysis about data center infrastructure, announced the results of the 2024 IT Brand Leader Survey covering Enterprise Infrastructure for AI. Generative AI is considered the biggest technology inflection point in human history with hundreds of billions of dollars already invested to create a new universe of hardware, software, systems, and services designed for enterprise AI.

AI 417
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7 Ways to Improve Your Machine Learning Models

KDnuggets

Tips and tricks on improving machine learning model performance on diverse and unseen datasets.

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7 Coding Tasks ChatGPT Can’t Do

Analytics Vidhya

Introduction ChatGPT may be the rising star in the coding world, but even this AI whiz has its limits. While it can churn out impressive code at lightning speed, there are still programming challenges that leave it stumped. Curious about what makes this digital brainiac break a sweat? We’ve compiled a list of 7 coding […] The post 7 Coding Tasks ChatGPT Can’t Do appeared first on Analytics Vidhya.

Analytics 348
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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!

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Using Machine Learning in Customer Segmentation

Machine Learning Mastery

In the past, businesses grouped customers based on simple things like age or gender. Now, machine learning has changed this process. Machine learning algorithms can analyze large amounts of data. In this article, we will explore how machine learning improves customer segmentation. Introduction to Customer Segmentation Customer segmentation divides customers into different groups.

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Storj Acquires Leading AI Compute Provider, Valdi

insideBIGDATA

Storj announced a new era in distributed cloud innovation with the acquisition of Valdi. Storj is a leader in distributed cloud object storage, disrupting the $100 billion cloud storage market, delivering up to 90% cost savings and 90% less carbon emissions for customers. Valdi is the leader in on-demand high performance cloud computing (GPUs) widely used for AI training and inference in data-intensive industries like technology, research and life-sciences.

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The Role of AI in Digital Marketing

KDnuggets

Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.

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What is Tensor: Key Concepts, Properties, and Uses in Machine Learning

Analytics Vidhya

Introduction Assume you are engaged in a challenging project, like simulating real-world phenomena or developing an advanced neural network to forecast weather patterns. Tensors are complex mathematical entities that operate behind the scenes and power these sophisticated computations. Tensors efficiently handle multi-dimensional data, making such innovative projects possible.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Tips for Effectively Training Your Machine Learning Models

Machine Learning Mastery

In machine learning projects, achieving optimal model performance requires paying attention to various steps in the training process. But before focusing on the technical aspects of model training, it is important to define the problem, understand the context, and analyze the dataset in detail. Once you have a solid grasp of the problem and data, […] The post Tips for Effectively Training Your Machine Learning Models appeared first on MachineLearningMastery.com.

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Women in Networking at SC24: SCinet Chair Angie Asmus

insideBIGDATA

The Women in Networking at SC, or WINS, program was created to celebrate and expand the opportunities for early- to mid-career women to participate in advancing technology through SCinet, the world’s fastest, most powerful temporary computer network. SCinet is constructed and deconstructed on location annually for the SC conference.

AI 368
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Machine Learning Made Simple for Data Analysts with BigQuery ML

KDnuggets

Thanks to tools like BigQuery ML, you can harness the power of ML without needing a computer science degree. Let's explore how to get started.

ML 336
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Top 10 Data Science Alternative Career Paths

Analytics Vidhya

Introduction Data science’s abilities are so versatile that they open up various job alternatives. Quite independently of whether your focus is on business analysis, product management, or ethical issues, there is always a job that one would be eager to do and can do well. Thus, in the rapidly developing field of data science, such […] The post Top 10 Data Science Alternative Career Paths appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Ensuring Quality Forecasts with Databricks Lakehouse Monitoring

databricks

Discover how Databricks Lakehouse Monitoring empowers you to ensure reliable, accurate forecasts by proactively detecting data drift, model degradation, and more.

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Top 8 Machine Learning Algorithms

Data Science Dojo

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! It’s like having a super-powered tool to sort through information and make better sense of the world. So, just like a super sorting system for your toys, machine learning algorithms can help you organize and understand massive amounts of data in many ways: Recommend movies you might like by learning what kind of movies you watch already.

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Convert Bytes to String in Python: A Tutorial for Beginners

KDnuggets

Strings are common built-in data types in Python. But sometimes, you may need to work with bytes instead. Let’s learn how to convert bytes to string in Python.

Python 322
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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency. Imagine a world where customer service chatbots not only understand but anticipate your needs, or where complex data analysis tools provide insights instantaneously. To unlock such potential, businesses must master […] The post Optimizing AI Performance: A Guide to Efficient LLM Deployment appeared first on Ana

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Web Outages Tracked, Catchpoint’s Live Internet Outage Map

Adrian Bridgwater for Forbes

The web never really experiences a formal turnoff, but knowing where the outgaes are and being able to navigate around them might well be a turn-on.

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Announcing the General Availability of Serverless Compute for Notebooks, Workflows and Delta Live Tables

databricks

We are excited to announce the General Availability of serverless compute for notebooks, jobs and Delta Live Tables (DLT) on AWS and Azure.

Azure 269
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Describing Data: A Statology Primer

KDnuggets

This collection of tutorials on describing data comes from our sister site Statology.

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Evaluating GPT-4o mini: How OpenAI’s Latest Model Stacks Up?

Analytics Vidhya

Introduction OpenAI launched GPT-4o mini yesterday (18th June 2024), taking the world by storm. There are several reasons for this. OpenAI has traditionally focused on large language models (LLMs), which take a lot of computing power and have significant costs associated with using them. However, with this release, they are officially venturing into small language […] The post Evaluating GPT-4o mini: How OpenAI’s Latest Model Stacks Up?

Analytics 328
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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IOP Publishing Launches Series of Open Access Journals Dedicated to Machine Learning and AI for the Sciences 

insideBIGDATA

IOP Publishing (IOPP) launched a series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the sciences. The new multidisciplinary Machine Learning series will collectively cover applications of ML and AI across the physical sciences, engineering, biomedicine and health, and environmental and earth science.

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Unlocking True Water Risk Assessment Worldwide

databricks

Unlocking True Water Risk Assessment Across Insurance, Finance, Public Safety, and Beyond Check out the solution accelerator to download the notebooks referred to.

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Testing Like a Pro: A Step-by-Step Guide to Python’s Mock Library

KDnuggets

Explore Python's mock library for seamless testing—replace real objects with mocks, perfect for isolating and verifying your code's behavior.

Python 310
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How to Create a Power BI Heatmap?

Analytics Vidhya

Introduction Have you ever found yourself staring at a table full of numbers—maybe sales figures, customer demographics, or financial data — and felt completely overwhelmed? You’re not alone! Dealing with and interpreting raw data is never easy, but knowing how to look for essential patterns can be tough, too. However, with better data visualization, all […] The post How to Create a Power BI Heatmap?

Power BI 328
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.