Wed.Mar 27, 2024

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Microsoft’s AllHands Aims to Transform Feedback Analysis

Analytics Vidhya

Introduction Today, user feedback is invaluable for developers and companies aiming to refine their products and services. The ability to sift through vast amounts of user-generated feedback efficiently and effectively is crucial for driving innovation and meeting user needs. This challenge has led to the development of AllHands, an innovative framework designed by a collaborative […] The post Microsoft’s AllHands Aims to Transform Feedback Analysis appeared first on Analytics Vidhya

Analytics 284
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A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

KDnuggets

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

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Trending Sources

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Working with Window Functions in PySpark

Analytics Vidhya

Introduction Learning about Window Functions in PySpark can be challenging but worth the effort. Window Functions are a powerful tool for analyzing data and can help you gain insights you may not have seen otherwise. By understanding how to use Window Functions in Spark; you can take your data analysis skills to the next level […] The post Working with Window Functions in PySpark appeared first on Analytics Vidhya.

Analytics 283
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Think you can ignore quantum computing? Think again.

CIO Business Intelligence

“It’s been known since the 1990s that a large-scale quantum computer will be able to break many of the crypto systems we rely on for security,” says Dustin Moody, leader of Post Quantum Cryptography (PQC) at the National Institute for Standards and Technology (NIST) in Maryland. In 1994, American mathematician Peter Shor developed quantum algorithms to factor integers and solve the discrete logarithm problem.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Unlocking the Future: Dr. Anand Rao on AI Evolution, Joyful Pursuits, and Career Wisdom

Analytics Vidhya

Welcome to the Leading with Data session featuring Dr. Anand Rao, a seasoned leader bridging ancient wisdom with modern AI. With three decades of experience across continents and sectors, Dr. Rao integrates Advaita philosophy into his leadership, fostering diverse perspectives for positive change. From pioneering AI applications in aerospace to shaping national AI strategies, his […] The post Unlocking the Future: Dr.

Strategy 273
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Hyperscale vs. colocation: Go big or go rent?

IBM Big Data Hub

Here’s the situation: You’re the CIO or similarly empowered representative of an organization. Different voices within your business are calling attention to the awesome scalability and power of hyperscale computing, which you’ve also noticed with increasing interest. Now the word comes down from on high that you’ve been tasked with designing and implementing your company’s hyperscale computing solution—whatever that should be.

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EclipseStore enables high performance and saves 96% data storage costs with WebSphere Liberty InstantOn

IBM Big Data Hub

As AI technology advances, the need for high-performance, cost-effective and easily deployable solutions reached unprecedented levels. EclipseStore, a groundbreaking data storage platform from MicroStream , is revolutionizing the development of cutting-edge software applications. IBM ® collaborated with MicroStream to integrate the IBM WebSphere ® Liberty InstantOn feature within EclipseStore.

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MIT Breakthrough: 30x Faster AI Image Generation using Distribution Matching Distillation

Analytics Vidhya

MIT researchers have made a significant breakthrough in AI image generation. They’ve developed a technique called “distribution matching distillation” (DMD) that can make popular AI image generators like DALL-E 3 and Stable Diffusion run up to 30 times faster. Here’s How it Works Here’s the impressive efficiency of DMD: It creates compact versions of these […] The post MIT Breakthrough: 30x Faster AI Image Generation using Distribution Matching Distillation ap

Analytics 268
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Successfully conduct a proof of concept in Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their busine

Testing 100
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Data Modeling Demystified: Crafting Efficient Databases for Business Insights

Analytics Vidhya

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database or data system. It involves converting real-world business needs into a logical and structured format that can be realized in a database or data warehouse. We will explore how data […] The post Data Modeling Demystified: Crafting Efficient Databases for Business Insights appeared first on Analytics Vidhya.

Modeling 267
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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The “hidden figures” of AI: Women shaping a new era of ethical innovation

IBM Big Data Hub

The end of March marks the conclusion of Women’s History Month. And despite the increased focus on women’s issues and contributions to society throughout the month, the conversation would be incomplete without recognizing how indispensable the success of women—past and present—has been in the tech industry. In particular, women are leading the way every day toward a new era of unprecedented global innovation in the field of generative AI.

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WWDC 2024 Dates Announced: Here’s What to Expect!

Analytics Vidhya

Calling all Apple fans and developers! The highly anticipated World Wide Developer Conference (WWDC) returns in June 2024, promising a week packed with exciting announcements. This year’s WWDC will take place primarily online, with June 10th reserved for a limited in-person keynote event. Developers and fans can apply to attend the keynote through the Apple […] The post WWDC 2024 Dates Announced: Here’s What to Expect!

Analytics 262
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7 Steps to Mastering Large Language Model Fine-tuning

KDnuggets

From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.

Modeling 127
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Kafka Stream Processing Guide 2024

Analytics Vidhya

Introduction Starting with the fundamentals: What is a data stream, also referred to as an event stream or streaming data? At its heart, a data stream is a conceptual framework representing a dataset that is perpetually open-ended and expanding. Its unbounded nature comes from the constant influx of new data over time. This approach is […] The post Kafka Stream Processing Guide 2024 appeared first on Analytics Vidhya.

Analytics 259
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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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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Big Data Hub

The rising interest in the calculation and disclosure of Scope 3 GHG emissions has thrown the spotlight on emissions calculation methods. One of the more common Scope 3 calculation methodologies that organizations use is the spend-based method, which can be time-consuming and resource intensive to implement. This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to

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Guide on 3D Medical Image Segmentation with Monai & UNET

Analytics Vidhya

Introduction 3D image segmentation involves partitioning volumetric data into distinct regions to extract meaningful information such as identifying organs, tumors, etc. With applications ranging from medical diagnosis to industrial inspection and robotics, 3D segmentation plays a pivotal role in understanding complex three-dimensional structures and objects.

Analytics 255
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What Erie Insurance does to develop transformational talent

CIO Business Intelligence

When the leadership team at Erie Insurance planned a large-scale transformation, they knew it couldn’t be an IT-only effort. The themes of the transformation — modernization, best-in-class agent experience, multi-channel customer experience, product excellence, and innovation — are so business centric that they could only be achieved with an enterprise-wide effort.

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Top 5 FREE Generative AI Courses by NVIDIA

Analytics Vidhya

NVIDIA, a pivotal force in the AI revolution, has significantly simplified the process of learning Artificial Intelligence through its newest course offerings. Below, you’ll find five free courses that offer exceptional value—rest assured, their benefits are as substantial as gold. These selections are particularly suited for beginners and represent some of the best starting points […] The post Top 5 FREE Generative AI Courses by NVIDIA appeared first on Analytics Vidhya.

Analytics 249
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Turning climate risks into business opportunities 

IBM Big Data Hub

Climate change causes extreme weather events across the world that endanger people’s lives and disrupt the businesses on which they depend. In Africa, for example, recurring droughts, floods and cyclones due to climate change might cause crop failures and food insecurity. As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices.

Risk 68
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Introducing Moondream2: A Tiny Vision-Language Model

Analytics Vidhya

Vision Language models are the models that can process and understand both visual and language(textual input) data simultaneously. These models combine techniques from Computer Vision and Natural Language Processing to understand and generate text based on the image content and language instruction. There are many large vision language models available such as OpenAI’s GPT-4v, Salesforce’s […] The post Introducing Moondream2: A Tiny Vision-Language Model appeared first on Analytics Vidhya.

Modeling 248
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Alteryx to Dataiku: Working With Datasets

Dataiku

Welcome to part two of this Alteryx to Dataiku series! If you missed part one , my goal is to help Alteryx users understand Dataiku and its take on modern analytics. I’ve spent quite a bit of time helping customers get the most out of both platforms and I’m excited to show you how Dataiku is the best of both worlds for current Alteryx users: familiar, but also different in all the right ways.

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30+ ChatGPT Prompts You Can Use Get the Dream Job in 2024

Analytics Vidhya

Introduction Hey there! Looking to nail that dream job in 2024? Well, you’re in the right place! Welcome to our blog, where we spill the beans on harnessing the power of ChatGPT for turbocharged job hunting. Say goodbye to bland resumes and nerve-wracking interviews because we’ve got your back. From crafting standout resumes to acing […] The post 30+ ChatGPT Prompts You Can Use Get the Dream Job in 2024 appeared first on Analytics Vidhya.

Analytics 238
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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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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity? Il Data Strategy Index incluso nel report rileva che solo il 20% delle grandi aziende italiane ha una strategia avanzata sui dati.

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Mikhail Parakhin Steps Down from Bing Search & Microsoft Advertising

Analytics Vidhya

Microsoft is undergoing a leadership change with a strong focus on artificial intelligence (AI). Mustafa Suleyman, co-founder of DeepMind (acquired by Google), has been appointed CEO of Microsoft AI, a move CEO Satya Nadella views as critical for advancing the company’s AI initiatives. These changes extend beyond just new leadership. Mikhail Parakhin, who has led […] The post Mikhail Parakhin Steps Down from Bing Search & Microsoft Advertising appeared first on Analytics Vidhya.

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Why CIOs need to pay attention to the most significant overhaul of Australian privacy law in 40 years

CIO Business Intelligence

Michael Fagan, former chief transformation officer at Village Roadshow, examines the proposed changes to the Privacy Act and what CIOs in Australia need to be aware of. I received 7 unsolicited CVs and resumes in the last 12 months, from well-educated and qualified people, seeking to join the organisation where I was working. Unbeknownst to the senders, they put me at risk of breaching one of the 13 Australian Privacy Principles (APP), despite me not really knowing these people, and never askin

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

Healthcare providers have an opportunity to improve the patient experience by collecting and analyzing broader and more diverse datasets. This includes patient medical history, allergies, immunizations, family disease history, and individuals’ lifestyle data such as workout habits. Having access to those datasets and forming a 360-degree view of patients allows healthcare providers such as claim analysts to see a broader context about each patient and personalize the care they provide for every

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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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Turbocharging business processes

CIO Business Intelligence

One of the few certainties in this world is that customers will always expect more from their service providers, and that whether they remain customers depends greatly on whether that expectation is met. And it isn’t just customers whose expectations are rising. Employees have witnessed what modern technology can do to enhance internal services and processes and may be quietly asking why these innovations haven’t been brought into their own workplaces.

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Choosing A Graph Data Model to Best Serve Your Use Case

Ontotext

Graphs and knowledge graphs are all around us. We use them every day without realizing. For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. Knowledge graphs model knowledge of a domain as a graph with a network of entities and relationships.

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An Intelligent Future for Manufacturing

CIO Business Intelligence

Digitalisation plays a key role in the evolution of manufacturing industries. Foundry’s Digital Business Study 2023 shows that 93% of manufacturers surveyed have adopted or plan to adopt a digital-first business strategy, driven by internal demands like cost reduction, operational efficiency improvements, continuous innovation and R&D as well as external pressures due to evolving enterprise client needs and even individual customer-experience requirements.

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Banks, your shareholders do care about payment costs 

IBM Big Data Hub

Here’s an argument for modernizing payments: Profits from traditional payment types are caught in a death spiral. As usage of traditional methods of payments decline, the high fixed cost to maintain them begins to seriously hurt margins as the revenue from smaller volumes declines. Increasing the price for the remaining transactions only hastens the decline.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.