Sat.Oct 12, 2024 - Fri.Oct 18, 2024

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19 Free Data Science Courses by Harvard and IBM

Analytics Vidhya

Introduction Data science is a rapidly growing tech field that’s transforming business decision-making. To break into this field, you need the right skills. Fortunately, top institutions like Harvard and IBM offer free online courses. These courses cover everything from basic programming to advanced machine learning. In this article, we’ve listed some of the best free […] The post 19 Free Data Science Courses by Harvard and IBM appeared first on Analytics Vidhya.

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A Data Scientist GenAI Survival Guide

KDnuggets

This guide emphasizes the growing significance of GenAI but also highlights the crucial role that data scientists play in harnessing this technology to solve real-world problems.

professionals

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Henry Ford Does AI

O'Reilly Media

Back in August , I cavalierly said that AI couldn’t design a car if it hadn’t seen one first, and I alluded to Henry Ford’s apocryphal statement “If I had asked people what they wanted, they would have said faster horses.” I’m not backing down on any of that, but the history of technology is always richer than we imagine. Daimler and Benz get credit for the first automobile, but we forget that the “ steam engine welded to a tricycle ” was invented in 1769, over a hundred years earlier.

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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer questions relevant to a particular business or use case.

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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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AI for Climate Change: Innovative Models for Predicting Environmental Impact

Dataversity

Climate change presents one of the most significant challenges of our time, demanding immediate and sustained action across all sectors of society. As temperatures rise, ice caps melt, and weather patterns become increasingly unpredictable, the urgency to understand, mitigate, and adapt to these changes becomes critical. In this context, innovative technologies, particularly artificial intelligence (AI), […] The post AI for Climate Change: Innovative Models for Predicting Environmental Imp

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AI and the future of unstructured data

IBM Journey to AI blog

Data’s the gas that makes the AI engines hum. And many companies aren’t taking full advantage of the treasure trove of unstructured data at their fingertips because they’re not sure how to fill the tank. That’s why businesses that have the tools to process unstructured data are catching investors’ attention. Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data mana

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Transforming Building Automation Data Into Actionable Insights

The Data Administration Newsletter

Building information systems (BAS) allow decision-makers to get real-time insights on overall traffic per floor or time of day to the precise temperatures in specific rooms. That data can encourage them to extract actionable takeaways to save energy and increase operational efficiency. So, how can facilities managers and others turn these ideals into everyday strategies?

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How AI Is Changing SQL for the Better

Dataversity

Structured query language (SQL) is one of the most popular programming languages, with nearly 52% of programmers using it in their work. SQL has outlasted many other programming languages due to its stability and reliability. SQL doesn’t change dramatically from version to version, and that consistency, combined with a logical design that allows it to deliver […] The post How AI Is Changing SQL for the Better appeared first on DATAVERSITY.

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AI Scaling Laws Poised To Transform Cell Replacement Therapy

Gil Press for Forbes

At the intersection of biology and AI, Somite.ai is pioneering the future of repairing human bodies by applying the predictive power of engineering.

AI 112
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Exascale Day 2024: How Supercomputing at a Billion Billion Calculations Per Second Is Changing the World

insideBIGDATA

The Exascale Era began in spring 2022 when the Top500 list certified that the HPE-AMD Frontier supercomputer at Oak Ridge National Laboratory had broken through the exascale computing barrier. And with the Intel-HPE Aurora system at Argonne National Laboratory confirmed by Top500 last spring, the U.S. now has two exascale-class systems – with a third, the HPE-AMD El Capitan system at Lawrence Livermore Laboratory, on the way.

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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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10 GitHub Repositories for Advanced Machine Learning Projects

KDnuggets

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

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Introducing the New SQL Editor

databricks

Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

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A Practical Guide to Deploying Machine Learning Models

Machine Learning Mastery

As a data scientist, you probably know how to build machine learning models. But it’s only when you deploy the model that you get a useful machine learning solution. And if you’re looking to learn more about deploying machine learning models, this guide is for you.

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Report: The Essential Role of Governance in Mitigating AI Risk

insideBIGDATA

Prove AI just closed a survey of 600+ CEOs, CIOs, and CTOs on the state of AI - "The Essential Role of Governance in Mitigating AI Risk." Big picture, executives are weighing AI's promised benefits over its proven risks, for now, at least.

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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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Roadmap for AI Engineers

KDnuggets

Learn about 10 easy steps to becoming an AI engineer in 2024.

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Attribute serverless costs to departments and users with budget policies

databricks

We are excited to announce the Public Preview of Databricks serverless budget policies. Administrators can use budget policies to ensure that the correct.

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IFS Forges Software Steel For Industrial AI

Adrian Bridgwater for Forbes

IFS is focused on developing and delivering productive industrial AI & making sure it is proven to be robust, effective in function, aligned for compliance & secure.

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Balancing Innovation and Ethics: AI and LLMs in Modern Sales Engagement

insideBIGDATA

In this contributed article, Logan Kelly, Founder and President of CallSine, discusses how LLMs and AI have combined to boost sales teams’ outreach. These revolutionary advancements are changing sales engagement by delivering remarkable efficiency and personalization capabilities. However, they also come with challenges that organizations must face when taking advantage of these incredible tools.

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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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What Can AI Do for Data Science?

KDnuggets

Check out these 10 use cases for AI to shine.

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Building Confidence in Your Genie Space with Benchmarks and Ask for Review

databricks

AI/BI Genie is a conversational experience for business teams to self-serve insights from their data through natural language. Genie leverages generative AI tailored.

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How to Use Generative AI in Marketing?

Analytics Vidhya

Introduction The marketing landscape has undergone a massive transformation with the rise of artificial intelligence (AI). Among the AI-driven innovations, generative AI (GenAI) is particularly revolutionizing how marketing teams create content, optimize activities, and deliver campaigns. From personalizing customer experiences to automating content creation, GenAI is capable of enhancing the productivity of the marketing team […] The post How to Use Generative AI in Marketing?

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Relyance AI Raises $32 Million Series B Funding to Safeguard AI Innovation in the Enterprise 

insideBIGDATA

Relyance AI, a leading AI-powered data governance platform that provides complete visibility and control over enterprise-wide data, announced a $32.1 million Series B funding round to scale operations and meet the needs of the exploding use of artificial intelligence in the enterprise.

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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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How to Learn Python the Lazy Way

KDnuggets

The title says everything. It is a guide for lazy people who want to learn Python and earn dollars.

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Announcing Azure Cobalt 100 VMs: Powering the Future of Azure Databricks

databricks

At Databricks, we are constantly innovating and optimizing our platform to ensure that our customers can maximize the value of their data and.

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7 Scikit-Learn Secrets You Probably Didn’t Know About

Machine Learning Mastery

As data scientists with Python programming skills, we use Scikit-Learn a lot. It’s a machine learning package usually taught to new users initially and can be used right through to production. However, much of what is being taught is basic implementation, and Scikit-Learn contains many secrets to improve our data workflow.

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Interview: Charles Sansbury, CEO, Cloudera

insideBIGDATA

insideAI New recently caught up with Charles Sansbury, CEO Cloudera, at the company's EVOLVE24 event in New York City to gain some insights into how Cloudera is embracing machine learning and data science, but also the company's work environment, and employees. Also discussed was news announced at the event such as the partnership with Snowflake.

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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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7 Free Data Science Platform for Beginners

KDnuggets

Explore free platforms for learning, building portfolios, accessing code editors, engaging with communities, and hosting projects.

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Zero-shot Object Detection Using Grounding DINO Base

Analytics Vidhya

Detecting objects in an image requires some accuracy, especially when the image does not only take a box-like shape for easy detection. However, numerous models have provided solutions with state-of-the-art performance in object detection. Zero-shot object detection with the Grounding DINO base is another efficient model that allows you to scan through out-of-box images.

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Interpreting and Communicating Data Science Results

Machine Learning Mastery

As data scientists, we often invest significant time and effort in data preparation, model development, and optimization. However, the true value of our work emerges when we can effectively interpret our findings and convey them to stakeholders. This process involves not only understanding the technical aspects of our models but also translating complex analyses into clear, impactful narratives.

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Alation Unveils AI Governance Solution to Power Safe and Reliable AI for Enterprises

insideBIGDATA

Alation Inc., the data intelligence company, launched its AI Governance solution to help organizations realize value from their data and AI initiatives. The solution ensures that AI models are developed using secure, compliant, and well-documented data. With capabilities such as lineage for AI auditability, AI documentation, data discovery and custom tagging, and data quality flags, organizations can confidently accelerate AI development, mitigate risks, and optimize their AI investments for bus

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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.