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 111

Big Data Sales Cost-Benefit Marketing 111

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 293

Machine Learning Analytics Big Data 293

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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

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

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

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 283

Deep Learning Analytics Modeling 283

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.

110

110

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 98

Big Data Publishing Risk IT 98

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

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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

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

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 111

Machine Learning Software 111

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 100

Snapshot Visualization Optimization Marketing 100

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

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

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

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.

117

117

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

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, 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.

Business Intelligence

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

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 91

Deep Learning 91

IBM Big Data Hub

NOVEMBER 22, 2019

Learn how marine solution provider James Fisher and Sons plc and the IBM Data Science and AI Elite team surge towards a renewable tomorrow with the electrifying power of data visualization built on IBM Watson Studio.

Visualization 85

Visualization Data Science 85

Corinium

NOVEMBER 18, 2019

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Itumeleng Makgati, the new Group CISO with SASOL, to talk about careers, strategic vision, and thoughts on "hacktivism".

150

150

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

Andrew White

NOVEMBER 22, 2019

Calling Chief Data Officers – or equivalents like had of analytics/CAOs, head of data and analytics, etc. Add your voice to the Gartner 5th Annual Chief Data Officer (CDO) Study! Free report for participating execs. Click here to complete the survey. Please ensure you have set aside enough time to complete the survey – 20 minutes to avoid losing your valuable work.

Reporting 76

Reporting Analytics 76

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 100

IT 100

IBM Big Data Hub

NOVEMBER 22, 2019

The number of business segments requiring data to drive contextual insights is increasing. Leaders are seeking new ways to manage the pressures of delivering high-quality data faster across their businesses. To date, many of these projects have focused solely on ingesting data into a data lake which has led to repositories of uncleansed and ungoverned data.

Data Lake 85

Data Lake Management 85

Corinium

NOVEMBER 18, 2019

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Sandro Bucchianeri, the Group Chief Security Officer with Absa to talk about security culture, communicating to the board and handling internal threats.

150

150

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.

Sales

FineReport

NOVEMBER 18, 2019

How Dynamic Charts Work? Made by FineReport. The above picture is a dashboard made by FineReport that contains dynamic charts. By clicking the corresponding position of the pie chart, you can display the data of the specific area, which is more interactive. Let’s compare the data presented by Excel. Is it suddenly monotonous and cold? This is the most intuitive experience that dynamic charts can bring.

Visualization 81

Visualization Dashboards Reporting Sales 81

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 107

Analytics 107

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?

150

150

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.

Modeling