Corinium
SEPTEMBER 23, 2019
It might seem obvious that business decisions based on facts and data consistently deliver better results than those based on instinct or intuition. So, it should be no surprise that NewVantage Partners’ Big Data Executive Survey 2018 suggests that 99% of business leaders are trying to make their organizations more data-driven. What might be more surprising to some is that just a third of them are succeeding.
Smart Data Collective
SEPTEMBER 25, 2019
Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code. Only people with the key to decode the data can read it.
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Bruno Aziza
SEPTEMBER 22, 2019
Today, as data has become a lifeblood of industry leading firms, competing on analytics has become an unquestioned mantra, and firms have anointed Chief Data Officers to occupy the C-Suite.
Smart Data Collective
SEPTEMBER 24, 2019
Big data is changing the world in a number of ways. Companies rely on data to deliver efficient services, but they also have to worry about cybersecurity risks. Towards Data Science provided a very detailed guide on the relevance of machine learning to hackers. Hackers use a number of different big data tools to orchestrate more severe attacks. As big data leads to new cybersecurity risks , a growing number of managers are falling victim.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
SEPTEMBER 22, 2019
Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.
datapine
SEPTEMBER 25, 2019
In the Age of Information, data equals power. By harnessing the power of your business’s most valuable digital insights, you will enhance decision-making, improve internal communication, and accelerate your success. But with so much information and such little time in the day, how do you get the most from your data? Data is most effective when it’s visual, easy to analyze, and accessible to everyone in the organization.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
O'Reilly on Data
SEPTEMBER 26, 2019
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting. In this episode of the Data Show , I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This conversation stemmed from a recent online panel discussion we did, where we discussed time series data, and, specifically, anomaly detection and forecasting.
Analytics Vidhya
SEPTEMBER 24, 2019
Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, The post Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 27, 2019
The article contains a brief introduction to various concepts related to Hierarchical clustering algorithm.
erwin
SEPTEMBER 26, 2019
The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault. By Danny Sandwell. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced.
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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?
Data Science 101
SEPTEMBER 24, 2019
A number of new impactful open source projects have been released lately. Open Source Data Science Projects. Pythia – from Facebook for deep learning with vision and language, “such as answering questions related to visual data and automatically generating image captions “ InterpretML – from Microsoft, ” package for training interpretable models and explaining blackbox systems “ ML framework for Julia – from Alan Turing Institute, MLJ is a machine learni
Analytics Vidhya
SEPTEMBER 23, 2019
Introduction TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, such. The post DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 24, 2019
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
O'Reilly on Data
SEPTEMBER 25, 2019
Experts explore new trends, tools, and techniques in data and machine learning. See highlights from the Strata Data Conference in New York 2019 here. Continue reading Highlights from the Strata Data Conference in New York 2019.
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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.
Data Science 101
SEPTEMBER 26, 2019
I am putting together some of my own resources on Data Strategy. Here are a few of the top resources I found helpful so far. What is a Data Strategy? – various definitions of a data strategy The 5 essential Components of a Data Strategy – a detailed whitepaper(PDF) from SAS How to Create a Successful Data Strategy – a detailed report from MIT How Do You Develop a Data Strategy (including 6 steps) – by Bernard Marr, He has created more data strategies than anyone, so his a
Analytics Vidhya
SEPTEMBER 25, 2019
Do we need to change the way we learn? Before you read any further, here is a sneak peak of our new experiential learning. The post Introducing “PocketML” – an Experiential Learning Platform for Data Science appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 23, 2019
Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.
Sisense
SEPTEMBER 23, 2019
Blog. The API layer of any application is one of the most crucial software components. It is the channel which connects client to server (or one microservice to another), drives business processes, and provides the services which give value to users. A customer-facing public API that is exposed to end-users becomes a product in itself. If it breaks, it puts at risk, not just a single application, but an entire chain of business processes built around it.
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 26, 2019
Fostering an inclusive culture is critical to success (and employee fulfillment). Pride celebrations may be fun, but persistent support of queerness is critical.
DataCamp
SEPTEMBER 26, 2019
DataCamp is partnering with Singapore to help 25,000 professionals and 100,000 students become data fluent.
KDnuggets
SEPTEMBER 23, 2019
We show, step-by-step, how to construct a single, generalized, utility function to pull images automatically from a directory and train a convolutional neural net model.
Smart Data Collective
SEPTEMBER 26, 2019
Traditionally, the world of investing was bland and exclusive. Investment vehicles were not very different from one another and minimum capital requirements meant that even this was reserved for the few who had the means. Most ordinary people had to settle for a savings account at their local bank while some even opted to simply put their savings under their mattress.
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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.
Dataiku
SEPTEMBER 23, 2019
AI adoption requires a lot of cross-team engagement and collaboration, but the Return on Investment (ROI) is clear; according to PwC , AI has the potential to contribute $15.7 trillion to the global economy by 2030.
IBM Big Data Hub
SEPTEMBER 25, 2019
AutoAI, a powerful automated AI development capability in IBM Watson Studio, won the Best Innovation in Intelligent Automation Award, chosen by a panel of 13 independent judges yesterday for the AIconics AI Summit in San Francisco.
KDnuggets
SEPTEMBER 25, 2019
This article covers the beta distribution, and explains it using baseball batting averages.
Smart Data Collective
SEPTEMBER 26, 2019
The big data market is expected to be worth $189 billion by the end of this year. This is over a 50% increase in just four years. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.
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.
Paul Blogs on BI
SEPTEMBER 24, 2019
Twenty-five years ago on July 13, 1994 I went to see the legendary band, The Eagles, play at the old Tiger Stadium in Detroit. The Tour was called the Hell Freezes Over Tour, since the band had broken up many years before they said they would only ever play together again when hell freezes over! This was also one of the last events to be held at the old Detroit Tigers baseball stadium, since it was about to be demolished and replaced with a new stadium.
IBM Big Data Hub
SEPTEMBER 26, 2019
Recently, I sat down with Kyle Weeks, Program Director for Ecosystems in Data Science and AI.
KDnuggets
SEPTEMBER 26, 2019
This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.
Smart Data Collective
SEPTEMBER 25, 2019
Big data has been billed as being the future of business for quite some time. However, the future is now. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The market for Hadoop jobs increased 58% in that timeframe. The impact of big data is felt across all sectors of the economy. It provides very lucrative employment opportunities to talented workers.
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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