Sat.Sep 14, 2024 - Fri.Sep 20, 2024

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Innovation vs. Ethical Implementation: Where Does AI Stand Today?

insideBIGDATA

In this contributed article, Vall Herard, CEO of Saifr.ai, discusses AI ethics. With the adoption of AI comes the next phase of innovation: understanding our moral compass and learning how to balance technology with morality — AND compliance.

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Fine-tuning Llama 3.1 with Long Sequences

databricks

Mosaic AI Model Training now supports fine-tuning up to 131K context length for Llama 3.1 models. More efficient training at long sequence lengths is made possible by several optimizations highlighted in this post.

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Partial Functions in Python: A Guide for Developers

KDnuggets

In Python, functions often require multiple arguments, and you may find yourself repeatedly passing the same values for certain parameters. This is where partial functions can help. Python’s built-in functools module allows you to create partial functions.

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A Comprehensive Guide to Building Multimodal RAG Systems

Analytics Vidhya

Introduction Retrieval Augmented Generation systems, better known as RAG systems, have become the de-facto standard for building intelligent AI assistants answering questions on custom enterprise data without the hassles of expensive fine-tuning of large language models (LLMs). One of the key advantages of RAG systems is you can easily integrate your own data and augment […] The post A Comprehensive Guide to Building Multimodal RAG Systems appeared first on Analytics Vidhya.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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The State of Data Resilience in the Enterprise: Many Corporate Leaders Are Not Taking Data Protection Seriously, Say IT Teams

insideBIGDATA

Arcserve, a pioneer in unified data resilience solutions, released its State of Data Resilience in the Enterprise Report. The survey of senior IT professionals in small- to large-sized organizations reveals that while the vast majority recognize how critical proprietary data is to their ongoing operations, more than 25% could not confidently say that their company leaders took this topic seriously.

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Unleash Your Innovation: Announcing the Databricks Generative AI Startup Challenge with Over $1 Million in Credits, Prizes, and Potential Venture Funding

databricks

The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!

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What Does A Data Engineer Do?

Adrian Bridgwater for Forbes

What Is A Data Engineer? It’s a moving definition really, because the role of the data engineer itself is changing.

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AI’s Dependency on High-Quality Data: A Double-Edged Sword for Organizations

insideBIGDATA

In this contributed article, Bryan Eckle, Chief Technology Officer at cBEYONData, suggests that as organizations strive to harness AI’s potential, they must navigate the significant challenges and risks associated with one key factor: high-quality data.

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Establish your Generative AI expertise with the latest Databricks certification

databricks

The value of Generative AI, the deepened investment Databricks has made in the space, and how customers have benefited from the certification.

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How to Perform Data Aggregation Over Time Series Data with Pandas

KDnuggets

Image by Editor | Ideogram Let’s learn how to perform time series data aggregation in Pandas. Preparation We would need the Pandas and Numpy packages installed, so we can install them using the following code: pip install pandas numpy With the packages installed, let’s jump into the article. Time Series.

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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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Show HN: Inngest 1.0 – Open-source durable workflows on every platform

Hacker News

Inngest's durable functions replace queues, state management, and scheduling to enable any developer to write reliable, multi-step code faster without touching infrastructure.

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Podcast: The Batch 7/31/2024 Discussion

insideBIGDATA

Here is a an example of a wild new experimental feature from Google called NotebookLM. This new Audio Overview feature can turn documents, slides, charts and more into engaging two-party discussions with one click. Two AI hosts start up a lively “deep dive” discussion based on your sources. They summarize your material, make connections between topics, and banter back and forth.

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Unifying Parameters Across Databricks

databricks

Today, we are excited to announce the support for named parameter markers in the SQL editor. This feature allows you to write parameterized.

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Retirement Ages by Country

FlowingData

China recently increased their retirement age to 63 for men and 55 for women (and 58 for female civil servants). Even with the adjustment, the country is still on the lower end when compared to other countries.

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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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Hollywood Can't Ditch Its Teslas Fast Enough:"They're Destroying Their Leases."

Hacker News

Tesla is reportedly planning a reveal of its self-driving robotaxi on the Warner Bros. lot amid widespread anger in the industry over the brand’s controversial CEO, Elon Musk, resulting in a rejection of its cars.

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DataOps.live Delivers New AIOps Capabilities with Snowflake Cortex and AWS Bedrock for End-to-End AI Workload Lifecycle Management

insideBIGDATA

DataOps.live, The Data Products Company™, announced the immediate availability of its new range of AIOps capabilities, a groundbreaking set of features that provides end-to-end lifecycle management of AI workloads from development to production.

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The Trouble with AI and Identity

Dataversity

Artificial Intelligence (AI) has earned a reputation as a silver bullet solution to a myriad of modern business challenges across industries. From improving diagnostic care to revolutionizing the customer experience, many industries and organizations have experienced the true transformational power of AI. However, that’s not the case for the masses.

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Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

AWS Machine Learning Blog

In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. From the hieroglyphs of ancient Egypt to the sleek minimalism of today’s tech giants, the visual identities that define our favorite brands have undergone a remarkable transformation. Today, the world of creative design is once again being transformed by the emergence of generative AI.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Inside Annapurna Interactive's Mass Walkout

Hacker News

Earlier this month, the entire staff of Annapurna Interactive walked out the door in a group resignation. But while some of the circumstances around their departure emerged in the reporting, one pressing question was left unanswered: why? IGN has pieced together a somewhat complex answer.

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Top 6 innovations from the IBM – AWS GenAI Hackathon

IBM Journey to AI blog

Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries. Over the course of several weeks, cross-functional teams comprising client teams, IBM and AWS representatives worked to design, develop and iterate on prototypes that push the boundaries of what’s possible with gen

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Reflecting on learning as both a student and an educator

SAS Software

This article was written based on an interview. Exploring SAS courses: thoughts on my learning journey My journey started with programming eLearning courses that got me hooked and curious about a wide range of topics. These online lessons were great because they were short and focused on technical stuff. But [.] The post Reflecting on learning as both a student and an educator appeared first on SAS Blogs.

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CRISPR-Cas9 guide RNA efficiency prediction with efficiently tuned models in Amazon SageMaker

AWS Machine Learning Blog

The clustered regularly interspaced short palindromic repeat (CRISPR) technology holds the promise to revolutionize gene editing technologies, which is transformative to the way we understand and treat diseases. This technique is based in a natural mechanism found in bacteria that allows a protein coupled to a single guide RNA (gRNA) strand to locate and make cuts in specific sites in the targeted genome.

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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.

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DirectX Adopting SPIR-V as the Interchange Format of the Future

Hacker News

Today the Direct3D and HLSL teams are excited to share some insight into the next big step for GPU programmability. Once Shader Model 7 is released, DirectX 12 will accept shaders compiled to SPIR-V™. The HLSL team is committed to open development processes and collaborating with The Khronos® Group and LLVM Project.

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When Americans Stop Working

FlowingData

Normal retirement age, also known as full retirement age, is 67 years old for those born in 1960 or later. It’s when you can get full Social Security benefits (assuming they still exist). It’s common for people to stop working before this age, but they’re veering older.

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The power of personalization elevates the customer experience

SAS Software

Personalization has become the cornerstone of the customer journey. It’s the difference between a one-size-fits-all approach and a tailored experience that resonates on a personal level. These three organizations are mastering the art of delivering exceptional customer experiences with SAS® Customer Intelligence 360. The Nature Conservancy: Improving donor communications The [.

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Improve RAG performance using Cohere Rerank

AWS Machine Learning Blog

This post is co-written with Pradeep Prabhakaran from Cohere. Retrieval Augmented Generation (RAG) is a powerful technique that can help enterprises develop generative artificial intelligence (AI) apps that integrate real-time data and enable rich, interactive conversations using proprietary data. RAG allows these AI applications to tap into external, reliable sources of domain-specific knowledge, enriching the context for the language model as it answers user queries.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Forbes Marketplace: The Parasite SEO Company Trying to Devour Its Host

Hacker News

Are you sick of Forbes appearing in search results? For topics that Forbes doesn’t have any expertise in? Here’s the organic rankings for “best pet insurance”: Forbes ranks #2. Not sure a business website knows how pet insurance actually works. But okay.

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Spell your name with satellite imagery

FlowingData

Here’s a fun interactive from NASA Landsat that lets you enter your name to see it spelled with satellite imagery. There are multiple images for each letter, so you get a new combination when you refresh. I didn’t know NASA put out these kind of projects, but I like it. You can also download the images for specific letters.

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Gradient-Based Learning In Numpy

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Shashank Bhushan Originally published on Towards AI. Photo by Erol Ahmed on Unsplash What is Gradient-Based Learning? Mathematically training a neural network can be framed as an optimization problem in which we either try to maximize or minimize some function f(x). f(x) is usually referred to as the cost function, loss function, or error function.

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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

In recent years, FM sizes have been increasing. It is important to consider the massive amount of compute often required to train these models. The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.