Sat.Jan 13, 2024 - Fri.Jan 19, 2024

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The Evolution of Data Validation in the Big Data Era

TDAN

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation. Origins of Data Validation Traditionally, data validation primarily focused on structured data sets.

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How to Shop for Data?

Data Virtualization

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data? appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Unlocking value: Top digital transformation trends

IBM Big Data Hub

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. They face an ever-increasing cadre of startups and established organizations, all of whom are also trying to keep up to date on digital transformation trends to achieve a competitive edge.

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The Evidence Act Brings Opportunity for Data Governance

TDAN

Five years ago, the most comprehensive data governance law was passed in the U.S. On January 14, 2019, the “Foundations for Evidence-Based Policymaking Act of 2018,” also known as the “Evidence Act,” was passed into law. The Evidence Act requires U.S.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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3 ways AI is set to disrupt the C-suite

CIO Business Intelligence

No one questions the tremendous impact generative artificial intelligence (gen AI) platforms and tools will have on the future of work. The impending disruption is obvious even before the effects materialize. The question IT and business leaders must ask is, How do we leverage this sea change rather than drown in it? Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report.

Finance 125
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I Actually Chatted with ChatGPT

O'Reilly on Data

ChatGPT was released just over a year ago (at the end of November 2022), and countless people have already written about their experiences using it in all sorts of settings. (I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) What more is left to say by now? Well, I bet very few of those people have actually chatted with ChatGPT.

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Breaking Down Quantum Computing: Implications for Data Science and AI

KDnuggets

This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.

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LVMH's Data Revolution: Pioneering AI at Scale in the World of Luxury

Dataiku

This blog post is a translated adaptation of LeMagIt’s article, “ Comment LVMH déploie l’IA à l’échelle.” In the fast-evolving landscape of luxury retail, staying ahead means not just embracing innovation but also orchestrating it across diverse brands and sectors. LVMH, the iconic French luxury group, has emerged as a trailblazer by strategically deploying artificial intelligence (AI) on an unprecedented scale.

IT 111
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6 Reasons Why a Universal Semantic Layer is Beneficial to Your Data Stack

KDnuggets

Looking to understand the universal semantic layer and how it can improve your data stack? This GigaOm Sonor report on Semantic Layers can help you delve deeper.

Reporting 100
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Going Beyond the Basics of RAG Pipelines: How Txtai Can Help?

Analytics Vidhya

Introduction Effective retrieval methods are paramount in an era where data is the new gold. This article introduces an innovative data extraction and processing approach. Dive into the world of txtai and Retrieval Augmented Generation (RAG), where complex data becomes easily navigable and insightful. By the end of this article, you will know how the fusion of txtai […] The post Going Beyond the Basics of RAG Pipelines: How Txtai Can Help?

Analytics 336
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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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15 ways to grow as an IT leader in 2024

CIO Business Intelligence

The technology landscape isn’t the only element evolving within the IT department, nor are rank-and-file staffers the only IT professionals expected to upskill. CIOs, too, are expanding their executive capabilities — as they should be — given the everchanging list of challenges they face. Those challenges have IT leaders sharpening existing skills and developing new ones as ways to improve their leadership style, while others are exploring new opportunities or expanding work responsibilities to

IT 131
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The AI Playbook: Providing Important Reminders to Data Professionals

TDAN

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

Metrics 122
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5 Free University Courses to Learn Data Science

KDnuggets

Looking to make a career in data science? Here are five free university courses to help you get started.

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apt-get Command in Linux: Understanding with Examples

Analytics Vidhya

Introduction The apt-get command is a powerful tool in Linux that allows users to manage software packages. Whether you want to install, update, remove, or search for packages, apt-get provides a simple and efficient way to handle these tasks. In this article, we will explore the various functionalities of apt-get and provide examples to help […] The post apt-get Command in Linux: Understanding with Examples appeared first on Analytics Vidhya.

Software 340
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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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12 data science certifications that will pay off

CIO Business Intelligence

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. If you’re looking to get into this lucrative field, or want to stand out from the competition, certification can be key. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.

Metrics 107
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SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

KDnuggets

Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.

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How to Write Pseudocode?

Analytics Vidhya

Introduction Practical problem-solving is a cornerstone skill in the dynamic realm of data science. One powerful tool in a data scientist’s arsenal is pseudocode. Let’s embark on a comprehensive journey into the world of writing pseudocode, understanding its nuances, and unraveling its significance in data science. Understanding Pseudocode Pseudocode serves as a bridge between problem […] The post How to Write Pseudocode?

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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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What it takes to land a CIO gig in 2024

CIO Business Intelligence

By all accounts, 2024 will be a good year on the CIO hiring front. Global spending on technology is predicted to be up by virtually all forecasts. Most midsize and large organizations are spending significantly on cloud capabilities. Cybersecurity has been pegged as a top priority for funding in many industries. And nearly every company seems poised to adopt artificial intelligence in some fashion.

IT 126
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Join us at the forefront of AI for business: Think 2024

IBM Big Data Hub

You want to use AI to accelerate productivity and innovation for your business. You need to move beyond experimentation to scale. You have to move fast. Join us in Boston for Think 2024, a unique and engaging experience that will guide you on your AI for business journey, no matter where you are on the road. From building AI readiness with a thoughtful hybrid cloud approach, to scaling AI across core business functions and industry needs, to embedding AI into the heart of your enterprise strateg

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Power neural search with AI/ML connectors in Amazon OpenSearch Service

AWS Big Data

With the launch of the neural search feature for Amazon OpenSearch Service in OpenSearch 2.9, it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. OpenSearch Service has supported both lexical and vector search since the introduction of its k-nearest neighbor (k-NN) feature in 2020; however, configuring semantic search required building a framework to integrate machine learning (ML) models to ingest and search.

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Agriculture & Deep Learning: Improving Soil & Crop Yields

Analytics Vidhya

Introduction Agriculture is more than just a job for many Indians; it’s a way of life. It’s the means through which they support their livelihoods and contribute immensely to India’s economy. Determination of the type of soil that has the clay, sand, and silt particles in the respective proportions is important for suitable crop selection […] The post Agriculture & Deep Learning: Improving Soil & Crop Yields appeared first on Analytics Vidhya.

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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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CIOs confront generative AI’s workplace X factor

CIO Business Intelligence

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

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How to build a successful disaster recovery strategy

IBM Big Data Hub

Whether your industry faces challenges from geopolitical strife, fallout from a global pandemic or rising aggression in the cybersecurity space, the threat vector for modern enterprises is undeniably powerful. Disaster recovery strategies provide the framework for team members to get a business back up and running after an unplanned event. Worldwide, the popularity of disaster recovery strategies is understandably increasing.

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Discover the World of Computer Vision: Introducing MLM’s Latest OpenCV Ebook

KDnuggets

Today, we're proud to announce a significant addition to our catalog at Machine Learning Mastery. Known for our detailed, code-centric guides, we're taking a leap further into the realms of Computer Vision with our latest offering.

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OpenAI Updates Policy to Allow Military Use and Weapons Development

Analytics Vidhya

OpenAI, a prominent player in the field of artificial intelligence (AI), has recently updated its usage policy, removing explicit prohibitions on military applications. The company’s decision to shift from a specific ban on ‘military and warfare’ and ‘weapons development’ has gotten people concerned about its future plans.

Analytics 318
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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Today’s business challenges call for a private wireless network

CIO Business Intelligence

Today’s dynamic organizations – among them manufacturers, logistics warehouses, and transportation hubs like airports, seaports and rail yards – increasingly rely on an ever-growing network of connected devices, systems and people to operate successfully. From employee safety systems to robotics, security cameras and autonomous vehicles, connected devices and applications have become critical to business.

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Data Analytics Can Bolster HR in Niche Industries

Smart Data Collective

Data analytics provides a number of benefits for human resources professionals especially in niche sectors. Data analytics helps, improve regular HR practices and streamlines decision-making processes. The biggest benefit is that it improves the recruitment and talent acquisition process, since headhunters can leverage data to identify the best candidates.

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Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs.

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Figure’s Humanoids Set to Automate BMW’s Manufacturing Process

Analytics Vidhya

AI robotics company Figure has joined hands with BMW to deploy humanoid robots at the automaker’s manufacturing facility later this year. This partnership marks a significant leap in integrating AI and robotics into the automotive industry, promising increased productivity, cost reductions, and a safer work environment. Figure’s Partnership with BMW Figure is teaming up with […] The post Figure’s Humanoids Set to Automate BMW’s Manufacturing Process appeared first o

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr