Sat.Feb 24, 2024 - Fri.Mar 01, 2024

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Top 10 AI & Data Science Trends in 2024

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Data Science have revolutionized various industries, enabling businesses to make data-driven decisions and automate processes. As we look ahead to 2024, it’s crucial to stay updated on the latest trends in AI and Data Science. In this article, we will explore the top 10 AI and Data Science trends that […] The post Top 10 AI & Data Science Trends in 2024 appeared first on Analytics Vidhya.

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CIOs rethink all-in cloud strategies

CIO Business Intelligence

After years of marching to the cloud migration drumbeat, CIOs are increasingly becoming circumspect about the cloud-first mantra, catching on to the need to turn some workloads away from the public cloud to platforms where they will run more productively, more efficiently, and cheaper. “‘Cloud exit’ became a big theme in 2023 and there’s good odds it’ll turn into a real trend for 2024.

Strategy 144
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8 Built-in Python Decorators to Write Elegant Code

KDnuggets

Developers can modify a function's behavior using decorators, without changing its source code. This provides a concise and flexible way to enhance and extend the functionality of functions.

IT 121
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Your Generative AI LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers

DataKitchen

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Building trust in the government with responsible generative AI implementation

IBM Big Data Hub

At the end of 2023, a survey conducted by the IBM® Institute for Business Value (IBV) found that respondents believe government leaders often overestimate the public’s trust in them. They also found that, while the public is still wary about new technologies like artificial intelligence (AI), most people are in favor of government adoption of generative AI.

Risk 97
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Data governance in the age of generative AI

AWS Big Data

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for gener

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MES and MOM – A clarification of terms

CONTACT Software

Digitalization in manufacturing Production is one of the most heavily optimized industrial sectors, and for good reason. Avoidable scrap or machine downtimes not only consume time and nerves but, above all, a significant amount of money. To prevent this, companies organize use digital systems to organize and execute their manufacturing processes.

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IT Leaders: Benefits of Moving to Dataiku for Modern Analytics

Dataiku

In a tough global macroeconomic climate with Generative AI rapidly changing the landscape, IT leaders are looking at their analytics platform investments with fresh eyes as they try to increase efficiency and integrate with new technologies. They need to ensure their analytics platform is not holding them back and can quickly adapt to the fast-paced nature of today's technological reality.

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Data Cleansing and Business Efficiency

Octopai

Revolutionizing Data Management: Octopai’s Role in Data Cleansing and Business Efficiency In the digital age, where data is ubiquitously hailed as the new oil, its management goes beyond mere cleanliness to encompass strategic asset optimization. The real challenge lies not in the accumulation of data but in harnessing its true potential through effective cleansing, management, and optimization strategies.

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How Blackbox AI Can Solve All Your Coding Problems

Analytics Vidhya

Introduction Stuck on a coding problem? Need a fresh perspective on your project? Blackbox.ai is your new AI-powered coding assistant, ready to supercharge your development workflow. Whether you’re seeking code suggestions in real-time, want to chat about complex concepts, or require assistance writing entire sections, Blackbox has you covered.

Analytics 336
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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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Defining a new era of exponential companies

CIO Business Intelligence

Before the popularization of DALL-E, Stable Diffusion, and Chat GPT, very few business executives were tasking technology leaders with accelerating AI strategies. That’s all changed. Now, Gartner estimates that by next year, 35% of large organizations will have named a Chief AI Officer reporting to a CEO or COO. And by 2033, the same study predicts that AI solutions will result in more than half a billion net new human jobs.

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Top 6 YouTube Series for Data Science Beginners

KDnuggets

Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

This post is cowritten with Amy Tseng, Jack Lin and Regis Chow from BMO. BMO is the 8th largest bank in North America by assets. It provides personal and commercial banking, global markets, and investment banking services to 13 million customers. As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud.

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How to Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

Finance 328
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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For IT leaders, operationalized gen AI is still a moving target

CIO Business Intelligence

The rate of companies that have either already deployed generative AI or are actively exploring it is accelerating to the point where, combined, there are very few holdouts. The use of gen AI in the enterprise was nearly nothing in November 2022, where the only tools commonly available were AI image or early text generators. But by May 2023, according to an IDC survey, 65% of companies were using gen AI, and in September, that number rose to 71%, with another 22% planning to implement it in the

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Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

KDnuggets

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

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Drone and Counter-Drone Industries: The Revolutionary Impact of AI

Smart Data Collective

Artificial intelligence (AI) rapidly transforms diverse technologies, from self-driving cars to intelligent assistants. Its ability to learn, adapt, and make decisions is revolutionizing industries. As AI’s role expands, navigating its ethical implications and ensuring responsible development will be crucial for a future shaped by this powerful technology.

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Microsoft Invests in Mistral AI to Launch GPT-4 Rival

Analytics Vidhya

In a significant move within the AI industry, Microsoft has forged a strategic partnership with Mistral AI, to revolutionize generative artificial intelligence. The first outcome of their partnership is Mistral Large, a language model proven to be as good as OpenAI’s GPT-4. This partnership signals a paradigm shift in the landscape of AI innovation.

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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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5 hot IT leadership trends — and 4 going cold

CIO Business Intelligence

Amid disruptive leaps in technology, leaders who will succeed in the near future, say experts, are the ones who stay focused on a decidedly low-fi resource: their employees. CIOs and others who manage technology teams are advised to see beyond the churn of constant upskilling, and consider what people excel at: creativity and critical thinking, business strategy, and building strong relationships that increase employee satisfaction while boosting the organization’s performance.

IT 128
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Top 5 Linux Distro for Data Science

KDnuggets

If you are considering transitioning from Microsoft Windows to another operating system that suits your needs, check out these five Linux distributions for data science and machine learning.

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Use Amazon OpenSearch Ingestion to migrate to Amazon OpenSearch Serverless

AWS Big Data

Amazon OpenSearch Serverless is an on-demand auto scaling configuration for Amazon OpenSearch Service. Since its release, the interest for OpenSearch Serverless had been steadily growing. Customers prefer to let the service manage its capacity automatically rather than having to manually provision capacity. Until now, customers have had to rely on using custom code or third-party solutions to move the data between provisioned OpenSearch Service domains and OpenSearch Serverless.

Metadata 112
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Apple Develops New ChatGPT Rival: Ask AI

Analytics Vidhya

Apple is venturing into the realm of artificial intelligence with its latest offering, ‘Ask’ AI. This innovative tool, reminiscent of ChatGPT, is poised to transform customer support services, offering efficient solutions to user queries. Let’s delve into the intricacies of this promising initiative and its implications for Apple users.

Analytics 316
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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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The trick to better answers from generative AI

CIO Business Intelligence

Generative AI offers great potential as an interface for enabling users to query your data in unique ways to receive answers honed for their needs. For example, as query assistants, generative AI tools can help customers better navigate an extensive product knowledge base using a simple question-and-answer format. But before using generative AI to answer questions about your data, it’s important to first evaluate the questions being asked.

Modeling 125
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7 Free Harvard University Courses to Advance Your Skills

KDnuggets

Transform your tech career with one of the best universities in the world!

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Data-Driven Affiliate Marketers Use Hourly Wage Calculators

Smart Data Collective

We have talked at length about some of the ways that big data has impacted the marketing profession. The marketing profession is expected to spend $6.41 billion on analytics this year. Any seasoned affiliate marketer will tell you that data is key to success.

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Building a Deep Learning-based Food Quality Detector

Analytics Vidhya

Introduction In today’s fast-paced world of local food delivery, ensuring customer satisfaction is key for companies. Major players like Zomato and Swiggy dominate this industry. Customers expect fresh food; if they receive spoiled items, they appreciate a refund or discount voucher. However, manually determining food freshness is cumbersome for customers and company staff.

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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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4 core AI principles that fuel transformation success

CIO Business Intelligence

New projects can elicit a sense of trepidation from employees, and the overall culture into which change is introduced will reflect how that wariness is expressed and handled. But some common characteristics are central to AI transformation success. Here, in an extract from his book, AI for Business: A practical guide for business leaders to extract value from Artificial Intelligence , Peter Verster, founder of Northell Partners, a UK data and AI solutions consultancy, explains four of them.

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Free Data Analyst Bootcamp for Beginners

KDnuggets

Want to become a data analyst? This free beginner-friendly data analyst bootcamp is all you need.

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4 smart technologies modernizing sourcing strategy

IBM Big Data Hub

Sourcing is getting smarter. To start, many organizations have already pivoted from a tactical to a strategic sourcing mindset—which can make all the difference when it comes to gaining and retaining a competitive advantage. Why? Because organizations with strategic sourcing mindsets look beyond price and cost savings-centered supplier selection initiatives.

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A-Z About Python Arrays

Analytics Vidhya

Introduction Arrays in Python are data structures that can hold multiple values of the same data type. They provide a way to store and manipulate collections of data efficiently. In this article, we will explore how to work with arrays in Python, including creating arrays, accessing and manipulating array elements, performing array operations, working with […] The post A-Z About Python Arrays appeared first on Analytics Vidhya.

Analytics 308
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.