Analytics Vidhya

NOVEMBER 5, 2019

Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from. The post Learn How to Perform Feature Extraction from Graphs using DeepWalk appeared first on Analytics Vidhya.

Analytics 264

Analytics Unstructured Data Modeling 264

datapine

NOVEMBER 5, 2019

To succeed in today’s competitive business world, the ability to make the right decisions at the right time based on water-tight insights is essential. If you don’t have the vision or don’t know what to do with it, you’ll find yourself shooting in the dark – and that is detrimental to the growth and evolution of any business, regardless of size or sector.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

KDnuggets

NOVEMBER 5, 2019

Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.

IT 123

IT 123

Sisense

NOVEMBER 5, 2019

Blog. Every new product or software sounds great on paper. But what happens when the rubber meets the road? No matter how much preparation you’ve done ahead of time, unforeseen challenges always crop up when you roll out a new solution. That said, let’s talk about the steps you need to take before you have your team or the entire organization start using a new piece of software.

Testing 75

Testing Analytics Dashboards Software 75

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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

TDAN

NOVEMBER 5, 2019

With the exponential growth of data from so many different sources, data silos (or in other words, separate unintegrated data stores) are more prevalent than ever. However, what is the root cause of data silos? People silos! The more that people view themselves as separated, the more that data is separated. But aren’t people and […].

Data Architecture 72

Data Architecture Data Strategy Data Governance Business Intelligence 72

KDnuggets

NOVEMBER 5, 2019

The maths behind Bayes will be better understood if we first cover the theory and maths underlying another fundamental method of probabilistic machine learning: Maximum Likelihood. This post will be dedicated to explaining it.

Machine Learning 67

Machine Learning IT Statistics 67

Andrew White

NOVEMBER 5, 2019

If you are a chief data officer (CDO, or equivalent) or CIO, you know full well that budgeting is a fraught time: strategies are updated, value propositions explored, and investments prioritized. You know the drill: some of your expectations will be met, many may not. And all of this may rest on the ability you have to sell the business case (or story, as we now say).

Strategy 59

Strategy Marketing Finance Risk 59

TDAN

NOVEMBER 5, 2019

Not looking forward to your next meeting? We don’t blame you. Meetings can be hard to sit through, not to speak of being productive. Making an important decision everyone can agree on is not easy. Intuition has a lot to do with making decisions. There never seem to be enough resources, with time being the […].

Big Data 61

Big Data Data Strategy Business Intelligence Strategy 61

Paul Turley

NOVEMBER 5, 2019

In this first post in a series called "Next Level Power BI", I demonstrate how to create dynamic databars using a Scalable Vector Graphic. A dynamic SVG databar, icon, sparkline or practically any imaginable graphic can be produced with calculated column or measure.

Measurement 57

Measurement 57

KDnuggets

NOVEMBER 5, 2019

Are you interested in starting your career in the data analysis domain? Read this informative blog on how to get your career off the ground.

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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

MLWhiz

NOVEMBER 5, 2019

We, as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database. We are used to seeing our users in rows with their attributes as columns. But does the real world behave like that? In a connected world, users cannot be considered as independent entities. They have got certain relationships with each other, and we would sometimes like to include such relationships while building our machine learning models.

Machine Learning 49

Machine Learning Modeling 49

TDAN

NOVEMBER 5, 2019

This series of columns will focus on many things including the nature of a graph database, how we evolved to a graph database, how a graph database is different from a relational database, two classes of graph databases – property and semantic, how property and semantic graph databases differ, use cases, challenges, how to map […].

Metadata 40

Metadata Data Strategy Data Architecture Business Intelligence 40

bridgei2i

NOVEMBER 5, 2019

BRIDGEi2i has collaborated with Analytics India Magazine (AIM) to conduct a detailed research on the global AI landscape and its impact on the India market. The ‘State of Enterprise in India 2019’ covers industry-wise adoption in the country today and provides insights on strategic trends, relevant use cases the future outlook for AI in enterprises.

Reporting 40

Reporting Enterprise Digital Transformation Consulting 40

TDAN

NOVEMBER 5, 2019

The author of the book “Data Leadership” Anthony J. Algmin has a unique perspective he brings to the table. I know him as a practitioner of data management disciplines, but he also has an MBA from the Kellogg School of Management. When I first heard of the word Data Leadership, I assumed it was about […].

Management 40

Management IT Data Strategy Data Governance 40

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

bridgei2i

NOVEMBER 5, 2019

BRIDGEi2i has collaborated with Analytics India Magazine (AIM) to conduct a detailed research on the global AI landscape and its impact on the India market. The ‘State of Enterprise in India 2019’ covers industry-wise adoption in the country today and provides insights on strategic trends, relevant use cases the future outlook for AI in enterprises.

Reporting 40

Reporting Digital Transformation Consulting Machine Learning 40

TDAN

NOVEMBER 5, 2019

As more companies invest in data and apply analytical insights, they start to demand better products and services from their vendors. Why should a business use one data service when another startup has launched a competing product with better features? Additionally, as business leaders learn more about what their data can do, they challenge teams […].

Analytics 40

Analytics Data Strategy Business Intelligence Big Data 40

Nutanix

NOVEMBER 5, 2019

Today, we are continuing to deliver on giving customers the most choice, with the general availability of Frame support for Google Cloud Platform (GCP). This means that our customers can choose to run their Frame desktops and applications on VMs in GCP regions worldwide.

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DataRobot

NOVEMBER 5, 2019

With time-poor consumers, grocery shopping is a hectic but necessary chore. Retailers provide a huge array of choices for every type of product from cereal to dish soaps. With so many options available, grocery shopping can be an overwhelming experience. How can any type of retailer ensure that their customers get the products they need while also having a positive and enjoyable experience?

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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

Teradata

NOVEMBER 5, 2019

The people who drive real business innovation in your org may not all be coders. With Vantage Analyst, they can explore data to uncover insights that may lead to that next big thing.

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Ontotext

NOVEMBER 5, 2019

Ontotext Platform synergizes knowledge graphs and text analysis as follows: Knowledge graphs can improve text analysis performance. Big knowledge graphs provide rich semantic profiles of all the popular concepts in a given domain and allow those to be more accurately recognized in text. Text analysis can extract new concepts and relationships, which can be added to enrich a knowledge graph with information not available from structure sources.

IT 69

IT Technology Modeling Analytics 69

Insight

NOVEMBER 5, 2019

In medical school, we learn to identify lab abnormalities, their causes and treatments. When a patient is observed to have a blood potassium of 5.5 mmol/L, doctors can quickly identify the culprit (e.g. renal failure, acute kidney injury, ACE inhibitor-induced, etc.) in light of the patient’s history and presentation. The more difficult questions for providers are: how exactly does this patient’s hyperkalemia affect her future health outcomes?

Deep Learning 61

Deep Learning Modeling Insurance Metrics 61

Octopai

NOVEMBER 5, 2019

Is your data going somewhere? No, we’re not talking about databases going AWOL or data warehouses getting a little R&R at the beach. We’re talking about migrations from one system to another, or combining data from different systems into a single system or warehouse. These activities are quite common in business. In order to pull them off without tearing your hair out, you need two crucial elements: data dictionaries for all data assets involved, and data mappings from each source to its tar

Machine Learning 44

Machine Learning Metadata Data Governance Data Warehouse 44

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy