Analytics Vidhya
MARCH 13, 2019
Introduction I have been a programmer since before I can remember. I enjoy writing codes from scratch – this helps me understand that topic. The post 5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! (with Illustrated Infographic) appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 14, 2019
The O’Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms. In this episode of the Data Show , I spoke with Kartik Hosanagar , professor of technology and digital business, and professor of marketing at The Wharton School of the University of Pennsylvania. Hosanagar is also the author of a newly released book, A Human’s Guide to Machine Intelligence , an interesting tour through the recent evolution of AI applications that draws from his extensive expe
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David Menninger's Analyst Perspectives
MARCH 15, 2019
I am happy to offer some insights on SAS drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.
datapine
MARCH 15, 2019
At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so. The world’s inherent rise in digital transformation coupled with today’s consumers’ appetite for the World Wide Web (and all entities either connected to it or surrounding it), there has
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
MARCH 10, 2019
Introduction I work on different Natural Language Processing (NLP) problems (the perks of being a data scientist!). Each NLP problem is a unique challenge in. The post A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text appeared first on Analytics Vidhya.
Jet Global
MARCH 14, 2019
Jet Global is honored to be recognized for its commitment to workplace best practices as one of the t op 100 b est companies to work for in Oregon. . You love us ; you really love us! Oregon Business recently revealed the 2019 Top 100 Best Companies to Work for in Oregon and guess who made the list ? After a transformational year of growth , Jet Global Data Technologies (Jet Global) is proud to be recognized as one of the top medium-sized e mployer s in the state. .
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Srividya Sridharan
MARCH 12, 2019
Last month, our featured research focused on building the foundation of an insights-driven business. This month, it’s time to start renovating, quickly. While every house needs a strong foundation, you also need to know when to start renovating to future-proof its value. Three ways to future-proof your insights capabilities? Commercialize data, adopt a cloud-enabled data […].
Depict Data Studio
MARCH 14, 2019
It’s 3.14— Happy Pi (e Chart) Day! If you’ve read this blog before, or heard me speak, then you know that designing data visualization makeovers is one of my favorite activities of all time. I love r edesigning pie charts , in particular. The vast majority of data visualization trainings just advise people to stop using pie charts… without teaching people what to do instead.
erwin
MARCH 14, 2019
The need for data mapping tools in light of increasing volumes and varieties of data – as well as the velocity at which it must be processed – is growing. It’s not difficult to see why either. Data mapping tools have always been a key asset for any organization looking to leverage data for insights. Isolated units of data are essentially meaningless.
Data Science 101
MARCH 9, 2019
Machine Learning for Kids is a site for children and teachers to explore machine learning with the Scratch Programming language. It includes numerous lessons and tutorials for building fun programs which incorporate machine learning.
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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?
Business Over Broadway
MARCH 13, 2019
Customer experience management (CXM) programs are necessarily a quantitative endeavor, requiring CX professionals to decipher insights from a sea of customer data. In this post, I will illustrate how you can use IBM Watson Studio to analyze one source of customer data, customer survey responses, to answer two important questions about the health of your customer relationship: 1) what is the current level of satisfaction across the CX touch points and 2) which of these touch points is responsible
DataRobot
MARCH 14, 2019
For the Philadelphia 76ers, data is an integral part of how they work, helping them make strategic decisions on both the sports and corporate sides of the organization. On the business side, they knew that taking a data-driven approach could help them become much more efficient in how they approach their ticket sales process. Enter automated machine learning with the layup.
IBM Big Data Hub
MARCH 14, 2019
India’s current patient to physician ratio prevents thousands from receiving individualized care needed. iKure has developed a network of facilities with an integrated EMR system that brings care to rural communities in India, Vietnam, and Africa at an affordable and convenient way.
Data Science 101
MARCH 13, 2019
1. Be Honest. Try not to exaggerate your skills. If the job sounds more engineering focused than you are wanting, be honest and say that. Data Science is getting very broad and you don’t want to get in a position that is a bad fit. You often sound worse when you try to explain something you do not understand. Just be honest and say, “I have not needed to use that yet, can you explain to me when you have done that?
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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.
Sisense
MARCH 11, 2019
We all know the saying, “fail to prepare, prepare to fail,” but in modern business environments, things are moving too fast to be able to predict the next ten steps. What you most need to know right now – whether to improve performance, boost profits, or storm ahead of the competition – could be totally different to what you’ll need to know this afternoon.
Decision Management Solutions
MARCH 11, 2019
February 20 th , 2019 W. Roy Schulte, Research Vice President and Distinguished Analyst at Gartner gave an interesting webinar titled, “ Decision Management: What It Is and Why You Need It.” Roy kicked off the webinar by stating that “companies make millions of operational decisions every day,” and how well (or not) they make these decisions is directly correlated with the business thriving (or not).
IBM Big Data Hub
MARCH 11, 2019
Though the enterprise data warehouse (EDW) has traditionally been the repository for historical data such as sales and financials, it is quickly evolving to meet the demands of new technologies.
Dataiku
MARCH 13, 2019
For the financial services industry (as well as many others that deal with data security and other types of non-monetary fraud), anomaly detection is hands down the most important system in operation. Yet many organizations still use more traditional modeling for fraud or anomaly detection instead of making the shift to machine learning.
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.
Sisense
MARCH 14, 2019
The rise of analytics is affecting every industry. The marketing field is ahead of the curve, having been a metrics-driven industry for decades, but which metrics a company decides to focus on, how they track and report (and analyze) those metrics, and what they do with that analysis makes all the difference. In a chat with CEO Garrett Mehrguth from Directive Consulting, we discussed the impact that analytics (overall and customer-facing), have had on the marketing world and where this trend is
Teradata
MARCH 14, 2019
Rob Armstrong uses the metaphor of turbulence when flying, to explains how businesses can prepare themselves for, and respond to, previously unforeseen challenges.
Cloudera
MARCH 13, 2019
The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data. Data Heroes design modern data architectures that work across hybrid and multi-cloud, and solve complex data management and analytic use cases that span from the Edge to AI. .
Dataiku
MARCH 11, 2019
The effects of the European Union’s General Data Protection Regulation (GDPR) swept across the globe last year as the enforcement deadline came and went in May 2018. But GDPR is really just the beginning - there are plenty of other wide-reaching data privacy regulations in the works, including in the United States, so companies will need to be ready.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Sisense
MARCH 13, 2019
So, you’ve decided to take the plunge and boost your product or service with embedded analytics. It’s a wise decision, as the substantial benefits have become increasingly self-evident, such as faster decision-making, increased ROI, accelerated development, reduced time-to-market, lower TCO, lower burden on IT, and more empowered users, whatever their background and level of technical know-how.
Teradata
MARCH 14, 2019
Rob Armstrong uses the metaphor of turbulence when flying, to explains how businesses can prepare themselves for, and respond to, previously unforeseen challenges.
Andrew White
MARCH 11, 2019
Data and analytics leaders are driving digital transformation, creating monetization opportunities, radically improving customer experience and reshaping industries. The time is right for them to exploit data in order to inform smarter actions that drive better, consistent organizational outcomes. In this research collection, we’ll share new strategies, guidance and best practices to help you realize a future based on data you can trust, agile analytics you can rely on, and the clarity needed to
Bruno Aziza
MARCH 13, 2019
To compete at the highest levels of customer performance in a highly data-driven industry sector, Franklin Templeton is invested in the transformation of its data management infrastructure to accelerate business value.
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.
Jenny Sussin
MARCH 11, 2019
I still have my sophomore year of high school yearbook. I know I don’t need it, I know it doesn’t fully “spark joy,” but I can’t seem to get rid of it. In my personal life I’m not good at de-cluttering but when it comes to speaking with clients about their customer experience (CX) projects, I’m practically Marie Kondo.
Teradata
MARCH 11, 2019
Brian Wood explains what should be considered when adding cloud to your analytic ecosystem.
Jen Stirrup
MARCH 9, 2019
I’m excited about Power BI dataflows, since I believe it’s a great way forward for companies to sort out the issue that nobody likes to talk about: cleaning data. I’m passionate about this topic since I believe in inheriting technical debt as much as I can, so I leave the organization’s technical debt in a better place than I found it.
Daydreaming Numbers
MARCH 14, 2019
Let’s talk about what to use instead of dual axis charts. Here are 5 alternatives - Side-by-side charts. 2 charts labelled directly, Prioritizing and levelling, connected scatterplot and indexed charts. The post 5 alternatives to dual axis charts appeared first on Daydreaming Numbers.
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.
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