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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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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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 126
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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 106
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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 337
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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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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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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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Capgemini and AWS Strengthen Ties for Widespread Generative AI Adoption

Analytics Vidhya

Capgemini and Amazon Web Services (AWS) have extended their strategic collaboration, accelerating the adoption of generative AI solutions across organizations. The multi-year agreement focuses on helping clients move beyond experimental stages to full-scale generative AI implementations. They intend to provide smooth transitions addressing challenges such as cost, scale, and trust.

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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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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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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 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.

Strategy 106
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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 323
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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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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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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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

Chatbots can help your customers and potential clients find or input information quickly by instantly responding to requests that use audio input, text input or a combination of both, eliminating the need for human intervention or manual research. Chatbots are everywhere, providing customer care support and assisting employees who use smart speakers at home, SMS, WhatsApp, Facebook Messenger, Slack and numerous other applications.

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Insights on AI from Sam Altman, Satya Nadella and Yann LeCun at WEF 2024

Analytics Vidhya

The World Economic Forum (WEF), known for bringing together the world’s elite, held its annual meeting on January 15th. Some of the most influential figures in technology and business were a part of this event. This year’s gathering saw AI leaders like Sam Altman, Satya Nadella, and Yann LeCun converging to discuss the profound impact […] The post Insights on AI from Sam Altman, Satya Nadella and Yann LeCun at WEF 2024 appeared first on Analytics Vidhya.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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 101
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Exploring the hyper-competitive future of customer experience

IBM Big Data Hub

The future of customer experience (CX) is more : more data, more technology, more surprising and delighting. It’s also more pressure to retain those customers, whether those interactions happen online or in-store. As customer expectations and habits change, so too must the CX that organizations provide. Study after study shows that customer loyalty is decreasing, as customers demand more from the providers of goods and services and show their displeasure by switching brands.

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30+ Big Data Interview Questions

Analytics Vidhya

Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools. To assess a candidate’s proficiency in this dynamic field, the following set of advanced interview questions delves into intricate topics ranging from schema design and data governance to the utilization of specific technologies […] The post 30+ Big Data Interview Questions appeared first on Analytics Vidhya.

Big Data 319
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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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How software can digitally transform child adoption

CIO Business Intelligence

Each new iteration of technology development creates renewed hope to be a vehicle for good and empower those in need. But it’s not the technology type that enables such work but its application. Scottsdale-based charity Both Ends Believing (BEB) is just such an example. Through the right intentions and business technology leadership, BEB has placed 3,133 orphans with families since it began in 2010.

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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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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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Vodafone and Microsoft Forge $1.5 Billion Decade-Long AI and IoT Partnership

Analytics Vidhya

In a recent collaboration, Vodafone and Microsoft have announced a transformative 10-year strategic partnership, poised to reshape the digital landscape for over 300 million businesses, public sector organizations, and consumers across Europe and Africa. The $1.5 billion investment will drive advancements in artificial intelligence (AI), digital payments, and the Internet of Things (IoT).

IoT 318
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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.