Sat.Nov 04, 2023 - Fri.Nov 10, 2023

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5 Step Blueprint to Your Next Data Science Problem

KDnuggets

Ever sat there and thought about what steps you need to take to tackle your data science problem?

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Generative AI in marketing: 2024 key trends of digital marketing

Data Science Dojo

In today’s digital marketing world, things are changing fast. And AI in marketing is a big part of that. Artificial intelligence (AI) is rapidly transforming the marketing landscape, making it increasingly important for marketers to integrate AI into their work. How marketers can leverage AI AI can provide marketers with a number of benefits, including: Increased efficiency and productivity: AI can automate many time-consuming tasks, such as data analysis, content creation, and ad targeti

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New Study Reveals Organizations Embrace Generative AI and Human-in-the-Loop Automation Amidst Rising Costs and Frequency of Service Incidents

insideBIGDATA

Transposit, the AI-powered incident management company, today announced results from its third annual State of DevOps Automation and AI research study about the intricate challenges faced by organizations in managing incidents effectively.

AI 459
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Databricks + Arcion: Real-time enterprise data replication to the Lakehouse

databricks

We are excited to announce that we have completed our acquisition of Arcion, a leading provider for real-time data replication technologies. Arcion’s capabilities w.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Introduction to Giskard: Open-Source Quality Management for AI Models

KDnuggets

To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

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Python libraries for generative AI 

Data Science Dojo

Generative AI is a branch of artificial intelligence that focuses on the creation of new content, such as text, images, music, and code. This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? Check out our in-person LLM bootcamp.

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KOSMOS-2: A Multimodal Large Language Model by Microsoft

Analytics Vidhya

Introduction 2023 has been an AI year, from language models to stable diffusion models. One of the new players that has taken center stage is the KOSMOS-2, developed by Microsoft. It is a multimodal large language model (MLLM) making waves with groundbreaking capabilities in understanding text and images. Developing a language model is one thing, […] The post KOSMOS-2: A Multimodal Large Language Model by Microsoft appeared first on Analytics Vidhya.

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5 Free University Courses on Data Analytics

KDnuggets

Thinking about getting into the data analytical world but do not know where to start? Have a look at these 5 FREE university courses on data analytics.

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Image Feature Extraction in OpenCV: Edges and Corners

Machine Learning Mastery

In the world of computer vision and image processing, the ability to extract meaningful features from images is important. These features serve as vital inputs for various downstream tasks, such as object detection and classification. There are multiple ways to find these features. The naive way is to count the pixels. But in OpenCV, there […] The post Image Feature Extraction in OpenCV: Edges and Corners appeared first on MachineLearningMastery.com.

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IBM Launches $500 Million Enterprise AI Venture Fund

insideBIGDATA

IBM (NYSE: IBM) today announced that it is launching a $500 million venture fund to invest in a range of AI companies - from early-stage to hyper-growth startups - focused on accelerating generative AI technology and research for the enterprise.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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This move by OpenAI will pave the way for AGI

Analytics Vidhya

In a groundbreaking move towards advancing artificial intelligence (AI) capabilities, OpenAI has unveiled its Data Partnerships initiative. This program invites collaboration with organizations worldwide to collectively build comprehensive public and private datasets aimed at enhancing AI model training and paving way toward AGI. The Need for Diverse Training Datasets The foundation of modern AI lies […] The post This move by OpenAI will pave the way for AGI appeared first on Analytics Vid

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365 Data Science Offers Free Course Access Until Nov. 20

KDnuggets

From November 6 (07:00 PST) to November 20 (07:00 PST), enjoy free unlimited access to 365 Data Science's comprehensive curriculum, interactive courses, practical data projects, and earn industry-recognized certificates—all at no charge.

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Qualys Expands IT Control Posture To ‘De-Risk’ Business

Adrian Bridgwater for Forbes

Enterprise software systems & stacks are endemically typified by their diversity, which is great for functionality, but creates wider business risk responsibility.

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Video Highlights: PyTorch 2.0 on the ROCm Platform

insideBIGDATA

From the recent PyTorch Conference we present a Lightning Talk: PyTorch 2.0 on the ROCm Platform by Douglas Lehr, Principal Engineer at AMD. Douglas talks about the current state of PyTorch on the ROCm platform including efforts to achieve day 0 support for Triton on Pytorch 2.0 as well as performance improvements, efforts with Huggingface, and other areas.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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A New Era of Text Generation: RAG, LangChain, and Vector Databases

Analytics Vidhya

Introduction Innovative techniques continually reshape how machines understand and generate human language in the rapidly evolving landscape of natural language processing. One such groundbreaking approach is Retrieval Augmented Generation (RAG), which combines the power of generative models like GPT (Generative Pretrained Transformer) with the efficiency of vector databases and langchain.

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AI + No-Code: The Viral Combo Redefining Developer Innovation

KDnuggets

Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility.

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Introducing Python User-Defined Table Functions (UDTFs)

databricks

Apache Spark™ 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python user-defined table functions (UDTFs). In this blog p.

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2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

insideBIGDATA

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Introduction to Embedchain – A Data Platform Tailored for LLMs

Analytics Vidhya

Introduction The introduction to tools like LangChain, and LangFlow, has made things easier when building applications with Large Language Models. Though building applications and choosing different Large Language Models has become easier, the data uploading part, where the data comes from various sources is still time-consuming for developers while developing LLM-powered applications as the developers […] The post Introduction to Embedchain – A Data Platform Tailored for LLMs appear

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Back to Basics Week 1: Python Programming & Data Science Foundations

KDnuggets

Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

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Supply Chain Disruption and ESG Risk Management Powered by Bloomberg Data in the Databricks Lakehouse Platform

databricks

This blog is the first of a series of blog posts highlighting industry-leading data providers we collaborate with and Marketplace data providers. Special.

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Why Enterprises Should Run, Not Walk, to Combine AI & AR

insideBIGDATA

In this contributed article, Kelly Peng, CEO and chief technology officer of Kura, discusses how marriage of AI and AR can combine to give us a world where we can do everything from communicate across language barriers to collaborate with remote employees like never before.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Elon Musk Introduces ‘Grok’: The Sassy AI Chatbot with a Dash of Rebellion

Analytics Vidhya

The tech world is abuzz with excitement. Elon Musk, the mastermind behind groundbreaking ventures like SpaceX and Tesla, introduces Grok, the latest creation to emerge from his new AI company, xAI. This chatbot, according to xAI, is inspired by “The Hitchhiker’s Guide to the Galaxy” It promises to possess “a bit of wit,” “a rebellious […] The post Elon Musk Introduces ‘Grok’: The Sassy AI Chatbot with a Dash of Rebellion appeared first on Ana

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FinOps Counts, But We’re Not Cashing In Yet

Adrian Bridgwater for Forbes

FinOps counts. There can be no simpler sentence in cloud computing, even ‘cloud is flexible’ takes three words.

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Arrow-optimized Python UDFs in Apache Spark™ 3.5

databricks

In Apache Spark™, Python User-Defined Functions (UDFs) are among the most popular features. They empower users to craft custom code tailored to their u.

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The AMC 12A 2023 leak shocks math circles

Dataconomy

The academic community has been shaken by the news of the AMC 12A 2023 leak, casting a shadow over one of the most anticipated high school mathematics competitions in the United States. The alleged breach, which saw confidential exam materials prematurely exposed, has sparked a flurry of discussions and concerns from students, educators, and parents dedicated to the spirit of fair competition.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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OpenAI’s DevDay 2023 Unveils a New Era in AI Advancements and Customization

Analytics Vidhya

In a groundbreaking series of announcements at OpenAI DevDay 2023 event, the future of artificial intelligence is taking an exciting turn. OpenAI is introducing an array of new models, developer products that promise to enhance AI accessibility and power. Along with new exciting features, including a new way to customize ChatGPT called GPTs. These GPTs, […] The post OpenAI’s DevDay 2023 Unveils a New Era in AI Advancements and Customization appeared first on Analytics Vidhya.

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Learn How to Design & Deploy Responsible AI Systems

KDnuggets

Learn how to design & deploy responsible AI systems with this white paper from Teradata.

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Starship’s second flight test

Hacker News

SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets.

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OpenAI Assistants API will let devs create “agent-like experiences”

Dataconomy

The launch of the OpenAI Assistants API at the DevDay marks a significant advancement in enabling developers to create “agent-like experiences” within their applications. This innovative Assistants API allows OpenAI’s clientele to craft an “assistant” tailored with distinct instructions, which taps into a broader spectrum of knowledge.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.