Thu.Mar 28, 2024

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Private cloud use cases: 6 ways private cloud brings value to enterprise business

IBM Big Data Hub

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. According to a report from Future Market Insights (link resides outside ibm.com), the global private cloud services market is forecast to grow to USD 405.30 billion by 2033, up from USD 92.64 billion in 2

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Step-by-Step Guide to Training ML Model with No Code

Analytics Vidhya

Machine learning (ML) can seem complex, but what if you could train a model without writing any code? This guide unlocks the power of ML for everyone by demonstrating how to train a ML model with no code. Dataset Used The Iris dataset is a classic in the field of machine learning, offering a straightforward […] The post Step-by-Step Guide to Training ML Model with No Code appeared first on Analytics Vidhya.

Modeling 284
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Mastering Python for Data Science: Beyond the Basics

KDnuggets

This article serves as a detailed guide on how to master advanced Python techniques for data science. It covers topics such as efficient data manipulation with Pandas, parallel processing with Python, and how to turn models into web services.

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Guide to Migrating from Databricks Delta Lake to Apache Iceberg

Analytics Vidhya

Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies for making informed decisions. It helps them to extract useful insights from their data. A variety of solutions has been emerged in past few years , such as Databricks Delta […] The post Guide to Migrating from Databricks Delta Lake to Apache Iceberg appeared first on Analytics Vidhya.

Big Data 279
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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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White House requires agencies to create AI safeguards, appoint CAIOs

CIO Business Intelligence

US government agencies will need to provide human oversight to AI models that make critical decisions about healthcare, employment, and other critical issues affecting people to comply with a new policy from the White House Office of Management and Budget (OMB). The AI use policy, announced Thursday, requires agencies to hire chief AI officers and to put safeguards in place to protect human rights and maintain public safety.

Risk 64
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12 Best Free Deep Learning eBooks

Analytics Vidhya

Deep learning is a powerful tool of artificial intelligence that’s changing many things. It is essential to have a good knowledge of Deep Learning, if you are aiming to make a career in AI. To make your life easy, we have made a list of some common Deep Learning ebooks, that you must read. This […] The post 12 Best Free Deep Learning eBooks appeared first on Analytics Vidhya.

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Mora: An Open Source Alternative to Sora

Analytics Vidhya

Introduction Generative AI, in its essence, is like a wizard’s cauldron, brewing up images, text, and now videos from a set of ingredients known as data. The magic lies in its ability to learn from this data and generate new, previously unseen content strikingly similar to the real thing. Image generation models like DALL-E have […] The post Mora: An Open Source Alternative to Sora appeared first on Analytics Vidhya.

Modeling 249
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How PLM paves the way for sustainable product development

CONTACT Software

In today’s sustainability-driven world, ensuring transparency and traceability across the entire product lifecycle is crucial. Product Lifecycle Management (PLM) helps to tackle these challenges by providing a solid data foundation for informed decisions. Challenges for companies: regulations and customer demands Companies are often faced with regulatory challenges that influence the development of strategies and products.

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Optimize Resource Usage with the Mixture of Experts and Grok-1

Analytics Vidhya

Introduction Large Language models (LLMs) can generate coherent and contextually relevant text since they are trained on extensive datasets and leveraging billions of parameters. This immense scale endows LLMs with emergent properties, such as nuanced understanding and generation capabilities across domains surpassing simpler models. However, these advantages come at the cost of high computational requirements […] The post Optimize Resource Usage with the Mixture of Experts and Grok-1 appe

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AI&Us: Revolutionizing the Life Sciences Industry Through Data

Dataiku

Did you know that only 7% of healthcare data — 3.5 petabytes — is used in the industry ? But, on the other side of the coin, as much as 36% of data being collected in 2025 will be health related? Pharmaceutical organizations, and the wider ecosystem of healthcare and life sciences industries at large, are at no loss for data. And still, many question if it’s yet enough data to truly characterize human biology and transform how we treat disease.

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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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PII Detection and Masking in RAG Pipelines

Analytics Vidhya

Introduction In today’s data-driven world, safeguarding Personally Identifiable Information (PII) is paramount. PII encompasses data like names, addresses, phone numbers, and financial records, vital for individual identification. With the rise of artificial intelligence and its vast data processing capabilities, protecting PII while harnessing its potential for personalized experiences is crucial.

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Prepping for the post-CIO chapter of a storied career

CIO Business Intelligence

It seems every week I’m on the phone with a CIO or other technology executive who’s either contemplating, on the verge of, or has recently gone through the process of retiring. Most struggle with it. They’ve been so heads-down doing the work that they’ve failed to properly and intentionally prepare themselves for this next chapter. On a recent episode of the Tech Whisperers podcast , I sat down with two former technology executives who’ve transitioned to “Chapter 2” in their career journeys wit

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Is OpenAI’s Sora Ready to Enter Hollywood?

Analytics Vidhya

OpenAI is making waves in Hollywood with Sora. Imagine being able to generate short movies just by describing them in plain English! That’s precisely what Sora showcased in its recent video releases. Sora has the potential to revolutionize filmmaking by giving artists and directors a powerful new tool to explore their creativity. Sora is at its […] The post Is OpenAI’s Sora Ready to Enter Hollywood?

Analytics 179
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Enjoy More Data-Driven Capabilities For Migrating to Drupal 9

Smart Data Collective

Drupal 9 has a lot of great AI features, but you have to set it up correctly to enjoy their benefits.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Guide to Face Recognition at Massive Scale with Partial FC

Analytics Vidhya

Introduction When it comes to face recognition, researchers are constantly pushing the boundaries of accuracy and scalability. However, a significant challenge arises with the exponential growth of identities juxtaposed with the finite capacity of GPU memory. Previous studies have primarily focused on refining loss functions for facial feature extraction networks, with softmax-based loss functions driving […] The post Guide to Face Recognition at Massive Scale with Partial FC appeared firs

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The 7 Best AI Tools for Data Science Workflow

KDnuggets

Learn about AI productivity tools that will make you a super data scientist.

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Vidhya Chandrasekaran’s Journey from Kitchen to Google

Analytics Vidhya

At Analytics Vidhya, we’re celebrating the Women of Data Science by highlighting their remarkable journeys and achievements on our blog throughout March. We believe their stories can inspire, uplift, and empower others. Today, we have the privilege of featuring Vidhya Chandrasekaran. Let’s delve into her inspiring story! Vidhya Chandrasekaran’s Journey in her own Words I […] The post Vidhya Chandrasekaran’s Journey from Kitchen to Google appeared first on Analytics Vidhya.

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Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Krones provides breweries, beverage bottlers, and food producers all over the world with individual machines and complete production lines. Every day, millions of glass bottles, cans, and PET containers run through a Krones line. Production lines are complex systems with lots of possible errors that could stall the line and decrease the production yield.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Swiss Federal Railways CIO relies more on AI than concrete

CIO Business Intelligence

Railway construction couldn’t be more laborious than in Switzerland, as the country consists almost exclusively of mountains, most of which are now spanned with bridges and riddled with holes, like the famous local cheese. The rail network is also the densest in Europe to the point where it can no longer be expanded because all the necessary areas are already fully utilized.

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How Amazon optimized its high-volume financial reconciliation process with Amazon EMR for higher scalability and performance

AWS Big Data

Account reconciliation is an important step to ensure the completeness and accuracy of financial statements. Specifically, companies must reconcile balance sheet accounts that could contain significant or material misstatements. Accountants go through each account in the general ledger of accounts and verify that the balance listed is complete and accurate.

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Robust remote access security for the utilities sector advances with Zero Trust

CIO Business Intelligence

Cyberattacks on utilities more than doubled from 2020 to 2022. It’s likely the case that the rapid growth of connected assets is outstripping security capabilities. One analyst firm predicts that by 2026, industrial organizations will have more than 15 billion new and legacy assets connected to the cloud, internet, and 5G. Security and IT leaders at utilities should consider a Zero Trust approach as they confront this threat.

Sales 64
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Data Architecture and Strategy in the AI Era

Cloudera

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs). But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security conc

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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.

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NetSuite adds more Text Enhance gen AI capabilities

CIO Business Intelligence

NetSuite is expanding on the generative AI capabilities added to its SaaS-based ERP offerings in October last year. The new capabilities, which include incremental feature additions to its Text Enhance offering and two new connectors for its analytics warehouse and point of sale (POS) offerings, were announced on Thursday at the company’s SuiteConnect event in New York.

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Chart Snapshot: Barcode Plot

The Data Visualisation Catalogue

Also known as an Instance Chart, Strip Plot, Stripe Plot. Not to be confused with the very similar Warming Stripes visualisation. A Barcode Plot is a chart used to visualise the data distribution across multiple categories by plotting short stripes along an axis. Each stripe can represent a single data point or a count. There are two main kind of Barcode Plot: first, the kind that plots a series of “barcodes” to compare the distributions between various categories across a single dimension.

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4 lessons healthcare can teach us about successful applications of AI

CIO Business Intelligence

There’s been no shortage of new tools, claims, and ideas about what generative AI can, cannot, and should not do over the past year. And despite the hype, there are only a handful of successful real-world enterprise projects applying the technology. The healthcare industry is the exception, with a breadth of generative AI use cases under its belt. From using large language models (LLMs) for clinical decision support, patient journey trajectories, and efficient medical documentation, to enabling

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7 tips for leading without authority

CIO Business Intelligence

Leading a technical workforce requires a rapidly changing skillset. Gone are the days when your title allowed you to boss everyone around, rule with an iron fist, and expect a successful outcome. The mood of leadership now is all about collaboration, mutual elevation, and leading without authority. Even if you have a job title where you could reasonably expect everyone who reports to you to do as you say, command-and-control leadership no longer has a reasonable shelf life.

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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.