Sat.Sep 19, 2020 - Fri.Sep 25, 2020

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5 Popular NoSQL Databases Every Data Science Professional Should Know About

Analytics Vidhya

Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see. The post 5 Popular NoSQL Databases Every Data Science Professional Should Know About appeared first on Analytics Vidhya.

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Gartner’s predictions for the post-COVID future of work - Partnered content with Zendesk

Corinium

COVID-19 has affected workplaces everywhere, the impacts of which could greatly alter how different organizations will approach the way they do business. The need to identify and prepare for a shift in operations and strategic goals is incredibly important. Organisations that respond efficiently can have a major role in establishing their companies as top competitors within their respective industries.

Reporting 195
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How Leading Businesses Organize and Make Sense of Data

Smart Data Collective

Two or three decades ago, gathering data was the biggest challenge businesses faced. Leaders craved more information and access. Today, these same companies are drowning in data. The challenge of today is organizing and making sense of the data. 4 Tips to Help You Make Sense of Your Data. With so much emphasis on collecting and accessing data, it’s easy to become so paralyzed by information that you fail to do anything with it.

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BI Is Dead; Long Live BI

Boris Evelson

The perception of legacy enterprise business intelligence (BI) platforms comes with some legitimate stigma and baggage. It’s technology first, not business-led; the graphical user interface (GUI)-based user experience (UX) doesn’t address ease of use for all business decision-makers; there are too many underutilized reports and dashboards floating around in the enterprise; and signals produced by […].

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Big Announcement: 3 Free Certificate Courses in Data Science and Machine Learning by Analytics Vidhya!

Analytics Vidhya

An Unmissable Opportunity to Earn your Data Science Certificate Picture this – you are given the opportunity to take a high-quality course on a. The post Big Announcement: 3 Free Certificate Courses in Data Science and Machine Learning by Analytics Vidhya! appeared first on Analytics Vidhya.

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The Top Six Benefits of Data Modeling – What Is Data Modeling?

erwin

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. It serves as a visual guide in designing and deploying databases with high-quality data sources as part of application development. Data modeling has been used for decades to help organizations define and categorize their data, establishing standards and rules so it can be consumed and then u

Modeling 111

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Ending Dusty Shelf Reports: Interview on James Pann’s YouTube Show

Depict Data Studio

I recently had the opportunity to be a guest on James Pann’s YouTube show to talk about reports. James is an Associate Professor, program evaluator, and psychologist who specializes in evaluating health, human service, and educational programs. Watch Our Conversation. Here’s a recap of our conversation: My Introduction to Dusty Shelf Reports. I recently had my 7 th year anniversary of working for myself.

Reporting 105
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A Detailed Study of Self Supervised Contrastive Loss and Supervised Contrastive Loss

Analytics Vidhya

Introduction Supervised Contrastive Learning paper claims a big deal about supervised learning and cross-entropy loss vs supervised contrastive loss for better image representation and. The post A Detailed Study of Self Supervised Contrastive Loss and Supervised Contrastive Loss appeared first on Analytics Vidhya.

Analytics 372
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Why Alternative Data Is on Pace to Disrupt Investment Management [Infographic]

Dataiku

As organizations face uncertainty in the wake of the global health crisis, many are seeking unique ways to understand the new dynamics of the economic landscape and monitor their recovery process. One strategy getting a lot of attention is the integration of alternative data sources to gain an information advantage over the competition, particularly when it comes to investment decisions in the finance sector.

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5 Must-Know Google Analytics Strategies For SEO Success

Smart Data Collective

Google’s first page is pretty much the promised land for all web-pages. And, why shouldn’t it be? Sure, it takes effort and time to get there. But, once you’re there the traffic basically takes care of itself. You only need a fraction of all the effort you put in earlier to stay there. Unfortunately, climbing the SERP ladder is easier said than done.

Strategy 123
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Looking for a Software Partner to Support Your Operational Transfer Pricing? Here Are the Questions to Ask

Jet Global

Failure to manage operational transfer pricing effectively creates huge risks for organizations, especially in today’s highly unpredictable markets. Trying to keep track of the many moving parts involved using spreadsheets may still be the norm in many multinational companies. This is a painful, manual process that is typically done once a year, and is one of the reasons why we still see so many unwanted, late year-end adjustments.

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6 Key Points you Should Focus on for your Next Data Science Interview

Analytics Vidhya

Overview Preparing for your next data science interview? You need to ensure you’re covering your basics Here are 6 key points we’ve taken from. The post 6 Key Points you Should Focus on for your Next Data Science Interview appeared first on Analytics Vidhya.

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IT Architects Are Critical to Bringing Hyper-Agility to Organizations’ AI Strategy

Dataiku

In “Driving ROI Through AI,” a recent benchmarking study with input from over 1,200 executives, 38% of respondents cited making sure their IT architecture and data management system can support AI as the most important lesson learned in implementing advanced AI within their organization. Further, over a quarter (28%) said the biggest technological challenge associated with adopting AI in the company is a lack of IT infrastructure to facilitate AI implementation.

Strategy 105
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4 Ways Big Data Systems Are Informing The Fight Against COVID-19

Smart Data Collective

We learn something new about the COVID-19 pandemic every day. This is a credit to brilliant scientists, epidemiologists, and public health experts around the world, but these professionals wouldn’t be able to do their jobs without big data systems. In fact, big data systems, which have already proven to be the most significant intervention in 21st century healthcare , represent our greatest hope of driving back COVID-19 infections and quickly developing an effective vaccine.

Big Data 117
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Top 5 Statistical Techniques in Python

Sisense

Blog. As datasets become bigger and more complex, only AI, materialized views, and more sophisticated coding languages will be able to glean insights from them. In Next-Level Moves , we dig into the ways advanced analytics are paving the way for the next wave of innovation. A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge.

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Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel

Analytics Vidhya

Overview Excel is the perfect fit for building your time series forecasting models We’ll discuss exponential smoothing models for time series forecasting, including the. The post Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel appeared first on Analytics Vidhya.

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WEBCAST: Automated Business Surveillance for Enterprises with BRIDGEi2i’s Watchtower

bridgei2i

WEBCAST: Automated Business Surveillance for Enterprises with BRIDGEi2i’s Watchtower. As businesses grow complex, tracking signals from separate functions becomes difficult; data flows from all domains and verticals. Enterprises need to be highly responsive to any anomalies and to derive actionable insights faster. BRIDGEi2i’s AI accelerator Watchtower is able to co-relate with KPIs from various verticals and domains and identify root-causes to provide actionable insights.

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 billion by 2030. Demand is growing at an annual pace of 29%. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Introducing Unguided Projects: The World’s First Interactive Code-Along Exercises

DataCamp

DataCamp has launched a new way to learn and apply skills—unguided projects. Get real-world coding experience right in your browser and find your own solution to these open-ended projects.

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How to Rank Entities with Multi-Criteria Decision Making Methods(MCDM)

Analytics Vidhya

Introduction Ranking with MCDM You can’t rest on your #1 ranking-because the guy at #2 isn’t resting. He’s still improving his site — Ryan. The post How to Rank Entities with Multi-Criteria Decision Making Methods(MCDM) appeared first on Analytics Vidhya.

Analytics 268
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Five Steps Towards Delivering Better Analytic Outcomes

Teradata

Get tips on how to cast a more critical eye on the seemingly endless amount of data-driven conclusions presented to us. Learn more.

Analytics 106
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How to Use Big Data to Cash in on the Firearms Market

Smart Data Collective

If you’ve never been aware of big data in the firearms industry, you’re in for a treat. Statistics over time have proven that the firearms industry does exceptionally well under two conditions: right before a presidential election and during a national crisis. Currently, the U.S. is facing both of these conditions at once. This means it’s a good time to go into business in the firearms industry.

Big Data 102
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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One offer, two promises… and a goodbye.

Jen Stirrup

New and novice speakers – need help with your PASS Summit community event recordings? Get in touch and I can help. I think that the idea of community is getting lost somewhere. Certainly, if you take a look at some of the discussion on social media, it doesn’t take long to see that the SQL Family / Data Platform discussions online have become very heated.

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Presenting HackLive – A Guided Community Hackathon by Analytics Vidhya’s Data Science Experts!

Analytics Vidhya

“There is no alternative to learning through experience.” This quote rings true for every aspect of our life. And it takes on a whole. The post Presenting HackLive – A Guided Community Hackathon by Analytics Vidhya’s Data Science Experts! appeared first on Analytics Vidhya.

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Accelerate Your Path to a Modern Analytics Architecture

Teradata

A modern analytics architecture means something different to everyone. What does it mean for your organization? Find out more.

Analytics 106
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Cloudera Data Platform in AWS Marketplace Simplifies and Accelerates Cloud Adoption

Cloudera

As organizations look to optimize the speed and cost of their cloud journey in today’s rapidly evolving economy, Cloudera is delighted to announce the availability of Cloudera Data Platform (CDP) Public Cloud in AWS Marketplace. Now customers can easily, confidently and cost-effectively discover, procure and deploy the world’s first Enterprise Data Cloud, powered by AWS, for faster time-to-insight from their advanced analytics and machine learning services.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Common Cyber Attacks And How To Protect Yourself From Them

Smart Data Collective

Cybercrime, particularly in the financial sector, not only cost the world economy $2.7 billion in 2018, but it also is one of the most feared threats to national security in the United States, with more than 164 million personal records getting exposed in 2019, alone. . The list of different types of cyber attacks grows as rapidly as other parts of the technology and ecommerce sectors , and with constant evolution there is no set way to protect against them today that you can ensure will still b

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Improving Model Accuracy and Predictability With Reinforcement Learning

Dataiku

In July, Dataiku sponsored and attended VBTransform, a three-day virtual conference hosted by VentureBeat that focuses on best practices and tangible ways that business leaders can gain and maintain a competitive edge in an increasingly AI-driven world.

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Equipping Petroleum Engineers in Calgary With Critical Data Skills

DataCamp

DataCamp supported the 2020 DUC Datathon presented by the Society of Petroleum Engineers and Untapped Energy.

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Operational Database Security – Part 2

Cloudera

In this blogpost, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. We are going to talk about auditing, different security levels, security features of Data Catalog, and Client Considerations. You can find part 1 of this series, here. . Auditing. Comprehensive auditing is provided to enable enterprises to effectively and efficiently meet their compliance requirements by auditing access and other types of operations across OpDB (thr

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.