DataKitchen
JUNE 27, 2022
Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. A data-driven culture is when data is used to make decisions at every level of the organization. A data-driven culture is about replacing the gut feeling […].
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David Menninger's Analyst Perspectives
JUNE 28, 2022
I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes.
KDnuggets
JUNE 28, 2022
Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.
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.
Smart Data Collective
JUNE 29, 2022
Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns. Keep reading to learn more about the benefits. Data-Driven Companies are Discovering the Benefits of Investing in Email Marketing.
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing. Languages such as English, Hindi consists of several words which are often derived […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
JUNE 27, 2022
If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?
Smart Data Collective
JUNE 30, 2022
Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. If you were cryogenically frozen twenty years ago, upon awakening, you’d probably be more shocked to learn that you can place an order on the internet and get it the same day, than you would about the world’s billionaires
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction Although blockchain is still in its infancy, the opportunities for developers to contribute are not just exciting but also many. Many businesses, including supply chains, automotive, and finance, have adopted blockchain, but it is not without problems. When a cryptocurrency, namely Bitcoin, […].
CIO Business Intelligence
JUNE 27, 2022
Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. Today, many CIOs feel the same way about metrics. Metrics are only as good as their source. “Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm.
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.
KDnuggets
JUNE 27, 2022
Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022.
Smart Data Collective
JUNE 30, 2022
Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 times greater brand awareness than those that don’t. Big data is even more important for companies that depend on social media marketing. Geoffrey Moore tweeted about this in 2012 when he said: “Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.”.
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems). SQL skills are highly preferred and required as it’s used by many organizations in a large variety of software applications.
CIO Business Intelligence
JUNE 28, 2022
Some call data the new oil. Others call it the new gold. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Encompassing data governance, data ops, data warehousing, data engineering, data analytics, data science , and more, data management, when done right, can
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.
KDnuggets
JUNE 29, 2022
In this article, we discuss the importance of statistics and probability in data science and machine learning.
Smart Data Collective
JUNE 28, 2022
The growth of smart technology is one of the most beneficial trends brought on by advances in AI. It is projected that there will be over 77 million smart homes in the United States by 2025. Smart technology is also being used by businesses and government institutions around the world. Many factors are driving the demand for smart technology. The quest for efficient and sustainable energy usage is one of the defining technological challenges of the modern age — especially as we find ourselves in
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction Memcached is a highly-performant distributed caching system. It is an in-memory key-value data store, which makes it a type of NoSQL database. Memcached is used by tech giants like Facebook, Twitter, Instagram, and Netflix. In my previous article, I explained Redis which […].
Dataiku
JUNE 29, 2022
What is a queer, woman of color to speak about when given a platform to make an impact at Dataiku? When approached by the Dataiku Queer Employee Resource Group (ERG) to write this blog post, the opportunity left me personally excited and a little overwhelmed to achieve. Do I speak about identity, intersectionality, community, or acceptance? Those are a few important topics that come to mind.
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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.
KDnuggets
JUNE 30, 2022
Learn about the standard process for building sustainable machine learning applications.
Smart Data Collective
JUNE 27, 2022
Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured.
Analytics Vidhya
JUNE 28, 2022
This article was published as a part of the Data Science Blogathon. Source – Analytics India Magazine Introduction Job interviews can be scary if you are a fresher and especially if you are attending interviews on interdisciplinary roles like Data Science and Machine Learning. The tension, the doubt if you will get a yes or […]. The post Top 15 Important Data Science Interview Questions appeared first on Analytics Vidhya.
Dataiku
JUNE 28, 2022
Whether it’s automating everyday tasks, elevating more people to harness the power of data, systematizing transformation, or tackling moonshot projects, data science practitioners around the world leverage Dataiku for a wide range of innovative applications. Their pioneering work is celebrated annually with the Dataiku Frontrunner Awards , where success stories and use cases from data science and AI leaders across industries are gathered and shared.
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.
KDnuggets
JULY 1, 2022
The technology industry, specifically, has been continuing to close the gender gap.
Smart Data Collective
JUNE 29, 2022
Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. If you want to make the most of your big data strategy, you should keep reading to learn how to incorporate data into email marketing.
Analytics Vidhya
JUNE 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Automation and intelligence are two technologies that are widely used in modern systems, making them cutting-edge. Without the two technologies of automation and intelligence, a computer system or program will revert to outdated design and development concepts, which are currently obsolete and […].
CIO Business Intelligence
JUNE 30, 2022
Long before the advent of customer data platforms (CDPs) , Kohl’s business model centered on collecting and cultivating customer data. “We’ve had a homegrown customer data environment for decades,” says Paul Gaffney, CTO and supply chain officer at the $19.4 billion American department store chain. “And we’re quite happy with our custom implementation.”.
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.
KDnuggets
JUNE 29, 2022
20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis; Data Science Career: 7 Expectations vs Reality; Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values; Comprehensive Guide to the Normal Distribution.
Domino Data Lab
JUNE 29, 2022
With data being quoted as the oil of the 21 st century and data science being labeled as the sexiest job of the century, we're seeing a sharp rise in data science and machine learning applications in every field. Be IT, Finance or business; predictive analytics is disrupting every industry.
Analytics Vidhya
JULY 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction to SQL A transaction is a set of operations carried out as a logical unit of work. It is a logical work unit that includes one or more SQL statements. A database system must ensure that transactions are properly executed even if […]. The post Understanding Transaction Management in SQL appeared first on Analytics Vidhya.
CIO Business Intelligence
JUNE 26, 2022
The Netherlands has positioned itself as an emerging medtech powerhouse, with more than 1,100 healthcare technology startups – more than three times as many relative to population size when compared to neighbouring Germany. The meteoric rise of the healthtech industry can be attributed to increasing costs for healthcare (which were up by approximately €9 billion in the Netherlands last year); the COVID-19 pandemic, which accelerated medical innovations; and the exponential growth of emerging tec
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“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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