datapine

NOVEMBER 19, 2019

The modern world is changing more and more quickly with each passing year. If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? To keep abreast of current changes – at least at a level of basic understanding. Adding to that, if you can’t understand the buzzwords others are using in conversation, it’s much harder to look smart while participating in that conversation.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

NOVEMBER 21, 2019

Big data is transforming the daily realities of running a business. Companies can use big data to handle certain tasks more quickly and cost-effectively than ever. Vince Campisi, CIO of GE Software, Ash Gupta, an executive with American Express, and many other companies use big data to get a competitive advantage. Of course, big data also raises some new challenges.

Big Data 116

Big Data Sales Cost-Benefit Marketing 116

Corinium

NOVEMBER 20, 2019

Cultural change does not happen overnight.

Data-driven 170

Data-driven Data Strategy Strategy 170

Analytics Vidhya

NOVEMBER 18, 2019

Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

Machine Learning 305

Machine Learning Analytics Big Data 305

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. Efficient tactics can be created along with a better overall decision-making process within an organization with the help of social and collaborative business intelligence too

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

O'Reilly on Data

NOVEMBER 18, 2019

In this interview from O’Reilly Foo Camp 2019, Hands-On Unsupervised Learning Using Python author Ankur Patel discusses the challenges and opportunities in making machine learning and AI accessible and financially viable for enterprise applications. Highlights from the interview include: The biggest hurdle businesses face when implementing machine learning or AI solutions is cleaning and preparing unstructured data that exists across silos.

ROI 132

ROI Unstructured Data Machine Learning Modeling 132

Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

Deep Learning 288

Deep Learning Analytics Modeling 288

KDnuggets

NOVEMBER 22, 2019

If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.

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Data Science 101

NOVEMBER 20, 2019

[ Image source ]. We are living in the data-driven world where every industry be it healthcare, finance, omnichannel retail, agriculture, logistics and much more runs on data. The data is one of the key essentials for increasing revenues and cost savings. Data can be considered as a tool that is banked on by the organizations for making smarter decisions and it is necessary to survive in these competitive markets.

Big Data 103

Big Data Data Strategy Strategy Cost-Benefit 103

Corinium

NOVEMBER 19, 2019

Gasbene Mahlangu will be presenting at the CISO Africa 2020 event. Find out more about him below.

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150

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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 Intelligence

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. Efficient tactics can be created along with a better overall decision-making process within an organization with the help of social and collaborative business intelligence too

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Dashboards 20

KDnuggets

NOVEMBER 22, 2019

To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.

Machine Learning 123

Machine Learning Software 123

Juice Analytics

NOVEMBER 18, 2019

Our office Wheel of Destiny is the most actionable of data. The results tell you where to go to lunch. No questions asked. Actionable. Is there an adjective that is more fun to put in front of the word data ? Perhaps big. I’m as guilty as anyone. After all, the third step in our data storytelling framework is Action. But what types of actions are we talking about?

Snapshot 99

Snapshot Visualization Optimization Marketing 99

Corinium

NOVEMBER 19, 2019

Is fostering an enterprise-wide security culture a top priority for you? Yes. One of the main objectives in our security programme is building human firewalls. We have an elaborate awareness campaign that focusses on engraining “security mentality” amongst our staff. Frequent phishing and other social engineering assessments, demonstrates the real dangers and susceptibility of cyber threats and helps staff to be more vigilant and get into the habit of reporting things that are out of the ordinar

Management 150

Management IT Reporting Enterprise 150

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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-driven

Smart Data Collective

NOVEMBER 22, 2019

Big data is transforming many facets of our lives. One of the ways consumers are looking to big data is with the student loan crisis. Big data advances could also make the government more understanding with its student loan forgiveness program. Big Data Could Turn the Student Loan Crisis on its Head. There are multiple applications of big data for solving the student loan crisis.

Big Data 99

Big Data Publishing Risk IT 99

KDnuggets

NOVEMBER 22, 2019

We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.

Analytics 123

Analytics 123

Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Plus, there are some links for Videos and Tutorials. Announcements. Google Introduces Explainable AI Many industries require a level of interpretability for their machine learning models. Black box solutions are not always ok. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations.

Data Science 99

Data Science Machine Learning Data Processing Modeling 99

Corinium

NOVEMBER 19, 2019

How are you creating a better-integrated security ecosystem in your organisation? My recipe to create an integrated ecosystem is to merge technology (operational and infrastructure) with business value(process) and culture(people). The internal ecosystem must be complimented with external partnerships and we need to start working together to redefine our end goal and purpose as a security professional.

Risk 150

Risk IT Technology 150

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.

Marketing

Dataiku

NOVEMBER 21, 2019

Once an organization has the ability to quickly operationalize data projects and moves from a handful to hundreds (or thousands) of machine learning models in production, the question of maintenance and management arise. Enter: MLOps.

Enterprise 18

Enterprise Machine Learning Modeling Management 18

KDnuggets

NOVEMBER 19, 2019

This post will be dedicated to explaining the maths behind Bayes Theorem, when its application makes sense, and its differences with Maximum Likelihood.

IT 122

IT 122

Data Science 101

NOVEMBER 18, 2019

After receiving some interest, I have decided to open up the posting more to the data science community. There are more details on the Contribute Page. If there is enough interest, I will be posting community contributed posts on Wednesdays and sponsored posts on Thursdays. What is the difference? Community contributed posts are free and are intended for individuals.

Data Science 93

Data Science Statistics 93

Corinium

NOVEMBER 19, 2019

How are you dealing with growing spectre of privacy regulations? By implementing an ongoing program with a multi-pronged approach involving business (as a first line of defence), Data Protection, Cyber and Information Security and Operational Risk to ensure that we meet the requirements from a regulatory as well as from a best practice standards point of view.

Risk 150

Risk 150

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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.

Reporting

IBM Big Data Hub

NOVEMBER 22, 2019

Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations.

Data Lake 90

Data Lake Data Warehouse Business Intelligence Analytics 90

KDnuggets

NOVEMBER 21, 2019

This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.

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120

Data Science 101

NOVEMBER 19, 2019

Introduction to Probability by Joseph Blitzstein and Jessica Hwang is available as a free PDF download.

Data Science 89

Data Science 89

Corinium

NOVEMBER 19, 2019

How are you strategically allocating your budget/resources to deal with the growing scourge of hacks and data breaches? Spend has to be against your business appetite and not against every threat. We will never have enough money to close all the gaps. Investment is channelled towards quick detection and skilled teams to eradicate the breach.

IT 150

IT 150

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.

Business Intelligence

Dataiku

NOVEMBER 22, 2019

In a world of increasingly digital and personalized experiences, consumers are embracing the ever-expanding opportunities to enjoy media and entertainment products uniquely tailored to their own preferences, contexts and schedules.

Recreation/Entertainment 17

Recreation/Entertainment 17

KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

Deep Learning 116

Deep Learning 116

IBM Big Data Hub

NOVEMBER 18, 2019

Segmentation, targeting, positioning – how does an organization optimize these strategic approaches in the context of retention? Which factors should the segmentation take into consideration? This is where good information management and analytics come into play. Explore IBM’s solutions today: Modernization of your information architecture and Advanced Analytics.

Marketing 86

Marketing Analytics Optimization Management 86

Corinium

NOVEMBER 19, 2019

1. How are you strategically allocating your budget/resources to deal with the growing scourge of hacks and data breaches?

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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.

Data-driven