Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. The power of data analytics and business intelligence is universal.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Analytics Vidhya

MAY 19, 2019

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction I’m an avid YouTube user. The sheer amount of content I can. The post Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos appeared first on Analytics Vidhya.

Data Science 303

Data Science Analytics Machine Learning Data Collection 303

O'Reilly on Data

MAY 23, 2019

The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China. In this episode of the Data Show , I spoke with Jike Chong , chief data scientist at Acorns , a startup focused on building tools for micro-investing. Chong has extensive experience using analytics and machine learning in financial services, and he has experience building data science teams in the U.S. and in China.

Machine Learning 227

Machine Learning Data Science Management Analytics 227

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Corinium

MAY 22, 2019

Over it's lifetime Facebook has become possibly the biggest B2C/B2B marketing channel available to marketers. The platform is a mass generator of big customer data that holds immense potential value for making smarter marketing decisions.

Marketing 150

Marketing B2B Data Science IT 150

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions.

Internet of Things 169

Internet of Things IoT Analytics Optimization 169

Data Science 101

MAY 20, 2019

I took and passed the exam during the beta period. These are my memories of the topics on the exam. You can get this information as the Microsoft Azure Data Scientist Checklist. General Overview. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification.

Data Science 111

Data Science Machine Learning Deep Learning Testing 111

Corinium

MAY 22, 2019

Most often, one hears remarks that Big Data implementation is a failure. This requires a reset of expectations. Big Data is all hype. With this post, I would like to share my views.

Big Data 150

Big Data 150

Smart Data Collective

MAY 24, 2019

Machine learning is playing an increasingly important role in web development. Responsive web design practices first started becoming popular around seven years ago. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

Machine Learning 99

Machine Learning Internet of Things Testing Technology 99

Bruno Aziza

MAY 19, 2019

When I was in business school, I learned that most companies were often not in the “business” they appeared to be. It is indeed comfortable to categorize a company’s business by its industry: transportation, financial services, manufacturing.etc.

IT 94

IT 94

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Data Science 101

MAY 23, 2019

Here is the latest data science news for May 2019. From Data Science 101. REAL TALK WITH A DATA SCIENTIST: THE FUTURE OF DATA WRANGLING WHAT IS ON THE MICROSOFT DATA SCIENCE CERTIFICATION EXAM? General Data Science. Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Many of the presentation are available to watch online.

Data Science 97

Data Science Data Processing 97

Corinium

MAY 19, 2019

Ahead of the third Chief Data & Analytics Officer Singapore conference, we caught up with Murari Mohan, Assistant Vice President, Partnership Analytics, Business and Data Science,, NTUC Link to talk about moving from reactive analytics to proactive analytics, the cultural hurdles to be addressed in order to drive intelligent data strategies as well as the most significant steps to be taken to move from strategy to execution.

Analytics 150

Analytics Data Strategy Strategy Data Science 150

MLWhiz

MAY 18, 2019

Good Features are the backbone of any machine learning model. And good feature creation often needs domain knowledge, creativity, and lots of time. In this post, I am going to talk about: Various methods of feature creation- Both Automated and manual Different Ways to handle categorical features Longitude and Latitude features Some kaggle tricks And some other ideas to think about feature creation.

Machine Learning 92

Machine Learning Modeling 92

erwin

MAY 23, 2019

How do organizations innovate? Taking an idea from concept to delivery requires strategic planning and the ability to execute. In the case of software development, understanding agile enterprise architecture and its relevance to DevOps is also key. DevOps, the fusion of software development and IT operations, stems from the agile development movement.

Enterprise 91

Enterprise Strategy Software Modeling 91

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Smart Data Collective

MAY 21, 2019

Big data is redefining the future of the gaming industry. Gaming providers are using big data for a variety of purposes. These applications include the following: Getting a better understanding of customers , so they can offer better products and experiences. Protecting against security threats, which are becoming increasingly common. Adapting new payment processing solutions, such as crypto currencies.

Big Data 91

Big Data Statistics Marketing Strategy 91

Dataiku

MAY 23, 2019

We talked to a project team from Georgia Tech with members in the Analytics MS and the Computer Science MS. Shelly Kunkle at Michelin, Melanie Laffin at Capgemini, Katrina Green at Vrbo.com, and Taylor Gift at AT&T collaborated on a project to better evaluate quality of life metrics when planning a move. Instead of just looking at square footage or number of bedrooms, they included cost of living variations, census data, and other metrics to better predict how to make the right choice when p

Metrics 90

Metrics Analytics IT Big Data 90

IBM Big Data Hub

MAY 22, 2019

IBM Cloud Pak for Data System is an integrated end-to-end platform that is cloud native by design, architected as microservices and containerized workloads. It offers instant pre-assembled provisioning and has capabilities to collect, organize and analyze data. It takes the IBM Cloud Pak for Data experience further by providing a modular approach to compute, network and storage on standard hardware, leveraging a building block approach under unified management.

Analytics 88

Analytics Management IT 88

Teradata

MAY 23, 2019

Using Vantage, Air France-KLM Group performs cross-channel analytics of customer data to provide a seamless experience for their passengers.

Analytics 96

Analytics 96

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing

Smart Data Collective

MAY 20, 2019

The Internet has evolved significantly over the last 20 years. A lot of the biggest changes can be traced to big data. SmartData Collective discussed some of the implications of big data for the Internet a couple of years ago. One thing that got overlooked was the role of big data in web hosting. Big data is creating a new era of hosting solutions. CDN and traditional hosting options are both available.

Data Processing 90

Data Processing Big Data Cost-Benefit Data mining 90

Juice Analytics

MAY 23, 2019

Whenever a client says, “ We just need the charts to be pretty ”, I pause and weigh my response. While clearly placing some value on the user experience with their comment, they clearly miss the point of information design and effective data visualization. My dilemma then becomes, what’s the right response to this statement? To be clear I’m not rehashing the data visualization aesthetics debate, but wrestling with how to win over product leadership on how to implement data applications the right

Dashboards 84

Dashboards Visualization Metrics IT 84

IBM Big Data Hub

MAY 21, 2019

A modern data architecture (MDA) must support the next generation cognitive enterprise which is characterized by the ability to fully exploit data using exponential technologies like pervasive artificial intelligence (AI) , automation, Internet of Things (IoT) and blockchain.

Data Architecture 77

Data Architecture Internet of Things IoT Enterprise 77

Jet Global

MAY 21, 2019

Jet Analytics provides users with several data sources and data structures to choose from when building reports or dashboards. But how do you decide when to choose your live database, your data warehouse or your cubes? Each data source has something valuable to contribute in your reporting and analytics ecosystem, so knowing the pros and cons of when to select each one will give you a big leg up in efficiently building reports.

Reporting 75

Reporting Optimization Data Warehouse Dashboards 75

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

Smart Data Collective

MAY 23, 2019

Big data is changing the future of professional communications. We have previously discussed the way that organizations use big data to stream communications through Skype and VoIP services. However, big data is also playing an important role in validating documents as well. Big Data Addresses Security Issues and Other Concerns with Electronic Signatures.

Big Data 86

Big Data Cost-Benefit Data mining Finance 86

Sisense

MAY 22, 2019

In the B2B subscription economy, we’re all well acquainted with the popular adage: it’s more expensive to acquire a new customer than it is to keep a current customer happy. And before your organization allocates resources to improving customer satisfaction, you have to start at ground zero—your customer churn rate. According to Bill Gates, “Your most unhappy customers are your greatest source of learning.

Analytics 74

Analytics Dashboards B2B KPI 74

DataRobot

MAY 23, 2019

This blog is meant to be a fun and unique take on predicting which summer Disney 2019 movie will be the most popular and is a guest piece from our partners at Datatechnology, showcasing the Qlik and DataRobot integration.

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Jet Global

MAY 21, 2019

The purpose of a business dashboard is to help you make quick, calculated decisions based on raw data. Instead of combing through data from different applications and spreadsheets, a manager should be able to open up a dashboard and quickly get a visual status update on a specific project. When you have a dashboard that transforms your data and provides timely operational visibility, you are able to easily assess, track, and respond to changes that impact performance – without any worries of ina

Dashboards 75

Dashboards KPI Business Intelligence Visualization 75

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Smart Data Collective

MAY 22, 2019

The marketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities.

Optimization 77

Optimization Marketing Big Data Machine Learning 77

Dataiku

MAY 21, 2019

If this month’s Google I/O conference is any indication , then incorporating machine learning (and deep learning) into existing products and processes to make them more efficient or useful is the future. From healthcare to sales , deep learning has wide applications; and with last week’s launch of Hailo ’s newest deep learning chip, they will only get wider.

Deep Learning 74

Deep Learning Machine Learning Sales Data Science 74

IBM Big Data Hub

MAY 21, 2019

There is no AI without data. That’s why we’ve put together a prescriptive set of five steps we call the ladder to AI to help our enterprise clients get their data ready. The journey of the AI ladder starts with collecting the data you need to build models, followed by organizing your data so you can find and safeguard it. The next two steps in the ladder are analyzing your data to better understand their business and know where to apply AI -- and finally, infusing AI inside of your processes wit

Enterprise 73

Enterprise Modeling IT 73

Teradata

MAY 21, 2019

Chad Meley explains how the concept of compound interest can be applied to your data and analytics investment strategy.

Data Analytics 89

Data Analytics Analytics Strategy 89

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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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