Analytics Vidhya
MAY 19, 2020
Overview Git and GitHub are essential tools for any data science professional who wants to code Learn the value and the in’s and out’s. The post New to Git and GitHub? This Essential Beginners Guide is for you appeared first on Analytics Vidhya.
datapine
MAY 20, 2020
Niche or industry aside, it’s likely that your customers are the beating heart of your entire operation. To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital. To win on today’s increasingly competitive digital battlefield, getting under the skin of your customers’ most burning needs, behaviors, and preferences while providing direct solutions to their pain points will thrust you ahead of
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Rocket-Powered Data Science
MAY 20, 2020
I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.
Corinium
MAY 21, 2020
In episode 7 of Data Conversations Over Coffee we talk to Alex MacPhail who is a pilot and keynote speaker on leading high performing teams.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
MAY 18, 2020
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.
erwin
MAY 20, 2020
Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Organizations need to understand what the most critical operational activities are and the most impactful projects that need to proceed.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
MAY 20, 2020
With the coronavirus outbreak, customer experience teams across the globe have had to rapidly adapt amid ticket spikes, customer cancellations, market volatility, and increased uncertainty. Each week brought new challenges , and business simply wasn't business as usual. Most teams responding to customers are now in a work from home environment, putting additional strain on their ability to respond to customers effectively.
Analytics Vidhya
MAY 17, 2020
Overview Learn how to build your own Social Distancing Tool using your Deep Learning and Computer Vision skills Understand the State-of-the-Art architectures (SOTA) for. The post Your Social Distancing Detection Tool: How to Build One using your Deep Learning Skills appeared first on Analytics Vidhya.
TDAN
MAY 20, 2020
Is it possible to listen without opinion, judgement or stories [i]? In this coronavirus pandemic, many people have strong opinions, judgement, and stories. For example: — “This is ridiculous, and we are overacting.”— “We have not been careful enough and are not being careful enough. This is serious!”— “We have shut down our economy over […].
IBM Big Data Hub
MAY 19, 2020
With COVID-19 and the current market uncertainty, every business leader is under unprecedented pressure to cut their expenses while still ensuring business continuity - no one, more so than the CIO. Enabling this new reality of virtual collaboration, automation and self-service while supporting the increased focus on data, analytics and AI is forcing IT leaders to reduce complexity and consolidate their offerings.
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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?
Insight
MAY 20, 2020
Getting started with Spark & batch processing frameworks What you need to know before diving into big data processing with Apache Spark and other frameworks. When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. Worse, documentation seemed sparse and wasn’t helpful to beginners.
Analytics Vidhya
MAY 16, 2020
Overview Optical Character Recognition (OCR) is a widely used system in the computer vision space Learn how to build your own OCR for a. The post Build your own Optical Character Recognition (OCR) System using Google’s Tesseract and OpenCV appeared first on Analytics Vidhya.
Teradata
MAY 21, 2020
Operationalizing world class analytics into day-to-day processes can help solve some of the greatest challenges in the telecommunications industry. Find out more.
Dataiku
MAY 20, 2020
Remote work is the ultimate litmus test of the data organization’s robustness. Many inefficiencies may go unnoticed when working in the office that ultimately lead to significant loss of time or of project relevance, but these issues can at least be partially mitigated by informal discussions and water cooler interactions. The Challenges of Remote Data Science.
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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.
TDAN
MAY 19, 2020
If your organization uses data—and even if it doesn’t—you have a data culture. Think about the ways that you and your colleagues interact with and discuss data. Are people afraid of it? Do they trust it? Is it spoken about as a driver of business and competitive edge or just the exhaust of your existing […].
Analytics Vidhya
MAY 20, 2020
Overview Conditional formatting is a useful and powerful feature in Microsoft Excel that you should master We’ll discuss 5 handy conditional formatting tricks here. The post 5 Handy Excel Tricks for Conditional Formatting Every Analyst Should Know appeared first on Analytics Vidhya.
IBM Big Data Hub
MAY 18, 2020
In the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities. It’s no wonder that Deutsche Lufthansa AG, Germany’s largest airline, recognized early on that with the right data and AI strategy, it could enhance the customer experience and better empower its employees while achievi
Dataiku
MAY 19, 2020
When building an Enterprise AI strategy that is fit to carry the business through economic highs and lows, it’s critical to have systems for monitoring models in production and to be able to quickly introduce, test, train, and implement new models in order to shift strategies or adapt to changing environments on a dime. Enter: MLOps.
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.
Jet Global
MAY 22, 2020
For the past few years, enterprise software companies have been steadily increasing efforts to move their customers to the cloud. While they spend a great deal of time touting the benefits of the cloud for their customers, they clearly see advantages for themselves as well: increasing revenue with more stable and predictable revenue streams, higher visibility to how customers are using their product, the ability to more easily push fixes down to customer environments, and more.
Analytics Vidhya
MAY 21, 2020
Iterators – One at a Time! Python is a beautiful programming language. I love the flexibility and the incredible functionality it provides. I love. The post What are Python Iterators and Generators? Programming Concepts Every Data Science Professional Should Know appeared first on Analytics Vidhya.
Insight
MAY 20, 2020
Hadoop is one of the most mature and well-known open-source big data frameworks on the market. Sprung from the concepts described in a paper about a distributed file system created at Google and implementing the MapReduce algorithm made famous by Google, Hadoop was first released by the open-source community in 2006. Fourteen years later, there are quite a number of Hadoop clusters in operation across many companies, though fewer companies are probably creating new Hadoop clusters?
FineReport
MAY 19, 2020
Drill down and drill through are two analysis features often used in reports. Today, let’s discover their powerful features and different use cases. . Drill Down Report . A drill-down report allows the user to navigate the data from a comprehensive view of the data to a more detailed one. It assumes a hierarchical relationship between data. Therefore, the user can be taken to a more granular level of the data by clicking a specific visualization element on the web report.
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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.
Jet Global
MAY 21, 2020
Financial professionals in higher education, whether private or public, face additional challenges when budget planning. This is because their budgets are not just based on historical data. Projected student enrollment, grade performance, alumni donations, and scholarships can influence the forecast for the fiscal year’s budget. A more agile, comprehensive, and efficient budget planning process is needed to better utilize finance resources.
Teradata
MAY 17, 2020
COVID-19 is a disruptive event affecting both demand and supply at a global level and at unprecedented speed. Here's how the automotive industry should respond.
Insight
MAY 20, 2020
Distributed computing frameworks often require the creation of a set of machines that work with one another to perform some sort of large-scale data processing. This cluster of computing resources can be provided through a variety of services. For instance, Amazon Web Services offers a service called EMR, which allows the user to quickly spin up a Spark cluster and configure how many machines will make up the cluster.
FineReport
MAY 19, 2020
Dulu ketika pelaporan data terdiri dari satu tumpukan angka, mungkin kita tidak bisa membayangkan tool modern yang telah merevolusi pelaporan data: indah, nyaman, dan terintegrasi dengan berbagai sistem. Saat ini, laporan data telah menjadi dasar dalam pembuatan keputusan dan juga terkait erat dengan analisis data dan intelijen bisnis untuk membantu kita mendapatkan gambaran yang lebih jelas mengenai bisnis kita.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
Jet Global
MAY 19, 2020
The COVID-19 pandemic has ignited a humanitarian crisis and impacted businesses worldwide. Government interventions in response to the virus have forced us to change how we work. And with every industry across the globe affected, the extent of change to consider can be overwhelming. However, even amid all the uncertainty of the pandemic, change is not a novel concept for successful businesses.
TDAN
MAY 19, 2020
“The digital world is here but our old companies are simply not yet designed for digital.” Jeanne Ross (Designed for Digital) Your business may need to develop a new digital platform to replace your existing application-centric IT solution. Your current application portfolio may have reached a size and level of complexity that is expensive and […].
erwin
MAY 21, 2020
The analytic hierarchy process (AHP) or pairwise comparison is a framework for decision making, rooted in mathematics and psychology. The widely used technique was created by Thomas L. Saaty , a Distinguished University Professor at the University of Pittsburgh, in the 1970s. Saaty recognized that making decisions is complicated. Knowing how to make the “right” decision is even harder.
FineReport
MAY 19, 2020
Dalam tren big data saat ini, visualisasi data telah menjadi mode tampilan interaktif yang dikagumi semua orang dan dashboard banyak digunakan untuk menampilkan kinerja bisnis di perusahaan. Jika kita dapat memahami dan menguasai teknologi ini, saya yakin keahlian ini akan sangat bermanfaat didalam karir kita. Jadi bagaimana caranya membuat dashboard yang baik, terutama untuk pemula?
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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