Analytics Vidhya
SEPTEMBER 28, 2020
Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works. The post What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services appeared first on Analytics Vidhya.
BA Learnings
SEPTEMBER 26, 2020
According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Innovation is essential to remaining competitive if a business is to stay afloat and remain relevant. History provides examples of companies that have lost out by missing out on opportunities to innovate – Think Motorola, Nokia, Lehman Brothers, Kodak, American Airlines – the list goes on.
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Analytics Vidhya
OCTOBER 1, 2020
Overview Feature engineering techniques are a must know concept for machine learning professionals Here are 7 feature engineering techniques you can start using right. The post 7 Feature Engineering Techniques in Machine Learning You Should Know appeared first on Analytics Vidhya.
erwin
OCTOBER 1, 2020
The erwin WFH (Work From Home) Impact Manager is a remote-work app that provides visibility and intelligence to help remote workers be more productive and process-compliant. The global pandemic is the single most disruptive event in modern times. Almost overnight organizations across the globe faced lockdowns, forcing them to switch to a remote-first workforce.
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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?
Smart Data Collective
OCTOBER 1, 2020
Email has proven to be a remarkably resilient marketing medium. The ROI of email marketing can be up to 4,400%. However, email marketing is also rather complicated. Businesses that depend on email marketing need to take advantage of various types of technology to leverage it effectively. We have previously written about the benefits of data driven marketing , but wanted to focus more on the benefits of machine learning as well.
BA Learnings
SEPTEMBER 26, 2020
According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Innovation is essential to remaining competitive if a business is to stay afloat and remain relevant. History provides examples of companies that have lost out by missing out on opportunities to innovate – Think Motorola, Nokia, Lehman Brothers, Kodak, American Airlines – the list goes on.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jedox
OCTOBER 1, 2020
We have been talking about a digital transformation in Finance for ages. Some have come far on the journey while others are still struggling. Having just gone through a severe crisis that saw everyone working remotely and using digital tools makes this transformation more relevant than ever. . Right now, we are looking at two almost extreme cases: On one hand, we are at a stage where the transformation can be completed because of all the tools are available.
Cloudera
SEPTEMBER 28, 2020
Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors.
Smart Data Collective
SEPTEMBER 27, 2020
We have talked extensively about the benefits of machine learning in the field of marketing. We pointed out that machine learning is actually driving the digital marketing revolution. However, the benefits of machine learning can be applied to the broader field of marketing as well. One of the most disruptive and beneficial applications of machine learning is with conversational intelligence.
Analytics Vidhya
SEPTEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction The first step towards problem-solving in data science projects isn’t about. The post Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step appeared first on Analytics Vidhya.
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📌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.
Domino Data Lab
OCTOBER 1, 2020
Domino and Okera – Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In the last few years, we’ve seen the acceleration of two trends — the increasing amounts of data stored and utilized by organizations, and the subsequent need for data scientists to help make sense of that data for critical business decisions.
Cloudera
OCTOBER 1, 2020
Since 2013 the UK Government’s flagship ‘Cloud First’ policy has been at the forefront of enabling departments to shed their legacy IT architecture in order to meaningfully embrace digital transformation. The policy outlines that the cloud (and specifically, public cloud) be the default position for any new services; unless it can be demonstrated that other alternatives offer better value for money. .
Smart Data Collective
SEPTEMBER 28, 2020
The Defense Industrial Base (DIB) is always under constant ransomware attacks. The malicious actors behind these attacks often block access to sensitive government data, intellectual property, and even trade secrets until they get paid. This can potentially harm a government’s military capabilities and operations. According to the Symantec Internet Security Threat Report of 2016, governments’ growing dependence on information technology makes them vulnerable to ransomware attacks.
Analytics Vidhya
OCTOBER 1, 2020
This article was published as a part of the Data Science Blogathon. Introduction Python is a truly wonderful programming language. Python’s flexibility has made. The post Introduction to Python Functions for Data Science Beginners appeared first on Analytics Vidhya.
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.
Dataiku
SEPTEMBER 28, 2020
Recently, I had the opportunity to sit down with Professor Alkiviadis Vazacopoulos and Aditya Shenoy , MBA candidate, from the School of Business at Stevens Institute of Technology in Hoboken, N.J.
Cloudera
SEPTEMBER 29, 2020
Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 benchmark.
Smart Data Collective
SEPTEMBER 27, 2020
Artificial intelligence has created a number of amazing opportunities for the financial sector. The benefits of AI are endless. Financial institutions are using AI to enhance decision-making, improve customer service, project customer needs and much more. We have talked about the benefits of using big data and AI to improve cybersecurity. But there are other processes that could be equally important for financial institutions.
Analytics Vidhya
SEPTEMBER 29, 2020
Overview Winning data science competitions can be a complex process – but you can crack the top 3 if you have a framework to. The post How I Became a Data Science Competition Master from Scratch appeared first on Analytics Vidhya.
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.
Dataiku
SEPTEMBER 29, 2020
Becoming an AI enterprise is often easier said than done; setting up a healthy center-of-excellence model with a centralized team of data experts that effectively collaborate with, educate, and enable subject matter experts on the business side is an undertaking that requires a combination of good hiring for key roles plus effective upskilling of existing staff.
Octopai
SEPTEMBER 30, 2020
David, the Chief Business Analyst for a medium-sized software company, walked into the office on Monday morning and greeted his staff with a smile and encouraging words. They had great numbers to round off Q3 and David was looking forward to sharing that exciting information at the shareholders meeting that afternoon. But as he collected the Q3 report that he had just sent to the printer, a considerable inconsistency glared up at him.
Smart Data Collective
OCTOBER 1, 2020
We have talked about some of the biggest ways that big data has influenced the field of marketing. One of the biggest changes big data has created in recent years is in the realm of Facebook advertising. Facebook has been one of the pioneers in big data technology for years. However, many brands haven’t figured out how to use the site’s data to their own advantage.
Analytics Vidhya
SEPTEMBER 27, 2020
Overview Microsoft Excel is an excellent tool for learning and executing statistical functions Here are 12 statistical functions in Excel that you should master. The post 10 Statistical Functions in Excel every Analytics Professional Should Know appeared first on Analytics Vidhya.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Jet Global
SEPTEMBER 28, 2020
Key performance indicators have never been more important for those in the utilities industry. Why? Because this sector is undergoing transformational changes. The push for sustainable energy means that new energy sources and delivery methods are coming online and will for years to come. Utility companies will need to report and monitor their KPIs obsessively to understand how these new approaches to energy are positively and negatively affecting their financial performance.
Decision Management Solutions
SEPTEMBER 29, 2020
Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “ Predictive Analytics “ You can also check out Eric’s new Coursera class.
Smart Data Collective
OCTOBER 2, 2020
Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. Unfortunately, the power of Hadoop and other modern data mining technology is eclipsed by limits that Google and other brands place on data queries made from the same IP.
Analytics Vidhya
SEPTEMBER 29, 2020
This article is part of the Data Science Blogathon. Introduction Neural networks are ubiquitous right now. Organizations are splurging money on hardware and talent. The post A Quick History of Neural Networks appeared first on Analytics Vidhya.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Jet Global
SEPTEMBER 30, 2020
Webinar Date: October 15, 2020 1PM across various time zones. NA. Register Now. EMEA. Register Now. APAC. Register Now. Over the years of DISCOVERER use, scores of reports were created. Are you struggling with the de-supported ORACLE DISCOVERER and not sure where to start with this process? Join Susan Adkison, an Oracle products expert, to learn a simple way to convert these Discoverer reports and explore easier ways to analyze Oracle EBS financial and operational reporting in the familiar Excel
DataCamp
SEPTEMBER 29, 2020
Scaling organization-wide data fluency training is not an easy task. Learn how to scale your data program and ensure the success of your digital transformation initiatives.
Dataiku
SEPTEMBER 30, 2020
If you have heard of CI/CD, are (or will be) using Dataiku DSS, and are wondering whether the two make sense together, you are in the right place. In this article, we will review the basics on CI/CD and cover all the topics that require special attention. Note that it goes hand-in-hand with our knowledge base entry, Building a Jenkins pipeline for Dataiku DSS , which shows step-by-step how to apply the concepts introduced here.
Analytics Vidhya
OCTOBER 2, 2020
This article was published as a part of the Data Science Blogathon. Introduction Gradient Descent is one of the most used machine learning algorithms. The post How Does the Gradient Descent Algorithm Work in Machine Learning? appeared first on Analytics Vidhya.
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.
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