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 118
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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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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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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 105
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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 323
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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.

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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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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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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 trillion in 2023.

IoT 102
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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 313
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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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.

Strategy 102
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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 315
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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3 data security disciplines to drive AI innovation

CIO Business Intelligence

AI hype and adoption are seemingly at an all-time high with nearly 70% of respondents to a recent S&P report on Global AI Trends saying they have at least one AI project in production. While the promise of AI can fundamentally reshape business operations, it has also created new risk vectors and opened the doors to nefarious individuals that most enterprises are not currently equipped to mitigate.

Risk 119
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What is managed DNS, anyway?

IBM Big Data Hub

Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience. Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? Every query in the Domain Name System (DNS) follows the same logic to resolve IP addresses.

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Here’s How You Can Read JSON Files in Python

Analytics Vidhya

Introduction Navigating through JSON data in Python opens doors to seamless data manipulation and analysis. JSON, or JavaScript Object Notation, is a lightweight data exchange format widely employed online. This guide discusses the significance of reading JSON files within Python’s versatile ecosystem. Discover various methods, from leveraging the JSON module to utilizing Pandas and best […] The post Here’s How You Can Read JSON Files in Python appeared first on Analytics Vidhy

Analytics 310
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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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Bio digital twins and the future of health innovation

CIO Business Intelligence

Healthcare technology innovation is poised to revolutionize the medical landscape. At the forefront of this transformation lies biological digital twin (bio digital twin) technology. This technology will help to improve personal, social, and economic outcomes, and help to build a healthier, more prosperous and sustainable future for all. The promise of bio digital twin technology The groundbreaking work underway in the development of bio digital twin technology holds immense promise in both savi

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Big Data Hub

This week, as thousands of network operators, technology vendors, and mobile device providers from all over the world converge on Barcelona for Mobile World Congress , it’s the perfect time to discuss how IBM® is shaping the future of network operations and telecommunications. Outside the glitz of new phones, connected cars and 5G with everything, there are some real challenges the industry must address.

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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.

Modeling 315
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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AI Con USA: Navigate the Future of AI

KDnuggets

AI Con USA is scheduled for June 2-7 in Las Vegas, and it's bringing together some of the brightest minds in the realm of artificial intelligence and machine learning.

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Atos deal to sell its legacy service business falls through

CIO Business Intelligence

French IT services company Atos has put an end to its attempts to sell its ailing legacy managed infrastructure services business after failing to reach an agreement with a prospective buyer, and will now have to glue the two halves of its business back together. Exclusive talks with EP Equity Investment over the sale of the Tech Foundations business ended after the two parties failed to agree on deal terms and pricing.

IT 119
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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.

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Stability AI Introduces Stable Diffusion 3: Next-Gen Advancements in AI Imagery

Analytics Vidhya

Stability AI has announced the arrival of Stable Diffusion 3, the latest advancement in AI imagery technology. This new model promises significant improvements in text-to-image generation, boasting enhanced performance and quality. As the anticipation builds around Stable Diffusion 3, let’s delve into the key features and advancements of this innovative AI model.

Modeling 319
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.