insideBIGDATA
APRIL 18, 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.
Data Science Dojo
APRIL 29, 2024
Imagine a tool so versatile that it can compose music, generate legal documents, assist in developing vaccines, and even create artwork that seems to have sprung from the brush of a Renaissance master. This isn’t the plot of a sci-fi novel but the reality of generative artificial intelligence (AI). Generative AI is transforming how we approach creativity and problem-solving across various sectors.
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KDnuggets
APRIL 15, 2024
Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.
Machine Learning Research at Apple
APRIL 23, 2024
The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.
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!
databricks
APRIL 18, 2024
We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama.
Analytics Vidhya
APRIL 27, 2024
Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. If you’ve been considering a career transition from a non-tech field to Generative AI, now is the time!
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science Dojo
APRIL 9, 2024
While language models in generative AI focus on textual data, vision language models (VLMs) bridge the gap between textual and visual data. Before we explore Moondream 2, let’s understand VLMs better. Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data.
KDnuggets
APRIL 1, 2024
Start your AI journey today with these courses from Google.
Adrian Bridgwater for Forbes
APRIL 29, 2024
Cloud provisioning has been a chore at times, but in our increasingly automated infrastructure future, cloud provisioning will have been provisioned and provided for.
databricks
APRIL 23, 2024
We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.
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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.
Analytics Vidhya
APRIL 10, 2024
Elon Musk has been making headlines again! During a recent interview on X Spaces (his platform for discussing all things space and beyond), the he dropped a prediction about Artificial General Intelligence (AGI). Musk claims AGI could be surpassing human intelligence within the next two years! Master of Making Bold Statements Musk has a history […] The post Elon Musk Predicts AI will be Smarter than Humans by Next Year appeared first on Analytics Vidhya.
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.
Data Science Dojo
APRIL 18, 2024
AI in E-commerce helps businesses understand consumer preferences and profiles to tailor their offerings and marketing strategies effectively, thereby enhancing the shopping experience and increasing customer satisfaction and loyalty. By analyzing consumer behavior, preferences, and profiles, businesses can personalize their products and services, optimize their marketing campaigns, and improve overall operations, leading to increased sales and a competitive advantage.
KDnuggets
APRIL 25, 2024
Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.
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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?
Adrian Bridgwater for Forbes
APRIL 12, 2024
A joint CloudBolt & StormForge solution enables FinOps cloud cost practitioners to harness container cost visibility and optimization to maximize cloud ROI.
databricks
APRIL 24, 2024
Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.
Analytics Vidhya
APRIL 29, 2024
A novel text-to-video AI model, named Vidu, has made its debut at the 2024 Zhongguancun Forum in Beijing. Developed jointly by ShengShu-AI and Tsinghua University, this new model challenges the dominance of OpenAI’s Sora. Let’s explore the features of Vidu and find out what it means for generative AI technologies in China. Also Read: Sora’s […] The post Vidu is Sora’s Latest Competition in AI Video Generation appeared first on Analytics Vidhya.
insideBIGDATA
APRIL 24, 2024
In this contributed article, Brady Brim-DeForest, CEO of Formula.Monks, discusses how the more that we incorporate AI technology into white collar workflows in large organizations, the more that it becomes important to lean into the work structures that make humans function at their best.
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.
DrivenData Labs
APRIL 10, 2024
The Challenge ¶ Motivation ¶ Much of the world's healthcare data is stored in free-text documents, usually clinical notes taken by doctors. This unstructured data can be challenging to analyze and extract meaningful insights from. However, by applying a standardized terminology like SNOMED CT, healthcare organizations can convert this free-text data into a structured format that can be readily analyzed by computers, in turn stimulating the development of new medicines, treatment pathwa
KDnuggets
APRIL 10, 2024
Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.
Adrian Bridgwater for Forbes
APRIL 16, 2024
We need to take all the subjectivity out of decisions so that they are based on data and facts. There’s a process behind how we use data for AI.
databricks
APRIL 9, 2024
At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX.
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.
Analytics Vidhya
APRIL 19, 2024
Introduction The landscape of artificial intelligence has been dramatically reshaped over the past few years by the advent of Large Language Models (LLMs). These powerful tools have evolved from simple text processors to complex systems capable of understanding and generating human-like text, making significant strides in both capabilities and applications.
insideBIGDATA
APRIL 27, 2024
In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding.
Machine Learning Research at Apple
APRIL 14, 2024
Existing vision-language models exhibit strong generalization on a variety of visual domains and tasks. However, such models mainly perform zero-shot recognition in a closed-set manner, and thus struggle to handle open-domain visual concepts by design. There are recent finetuning methods, such as prompt learning, that not only study the discrimination between in-distribution (ID) and out-of-distribution (OOD) samples, but also show some improvements in both ID and OOD accuracies.
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Adrian Bridgwater for Forbes
APRIL 17, 2024
It wasn’t long in the early evolution and revolution of cloud computing that we realized one cloud service in one place from one Cloud Services Provider (CSP, aka hype.
databricks
APRIL 16, 2024
We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use.
Analytics Vidhya
APRIL 22, 2024
Introduction Discover the latest milestone in AI language models with Meta’s Llama 3 family. From advancements like increased vocabulary sizes to practical implementations using open-source tools, this article dives into the technical details and benchmarks of Llama 3. Learn how to deploy and run these models locally, unlocking their potential within consumer hardware.
insideBIGDATA
APRIL 22, 2024
In this contributed article, Dr. Chirag Shah, professor in the Information School at the University of Washington, highlights how we are at a crossroads in our relationship with AI where what we choose now can have a huge impact on the future of AI and that of humanity. So the question is -- how do we make good choices? Let’s start by examining two extreme visions of AI.
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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