Tue.Nov 05, 2019

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Learn How to Perform Feature Extraction from Graphs using DeepWalk

Analytics Vidhya

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 269
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Get Started With Business Performance Dashboards – Examples & Templates

datapine

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.

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10 Free Must-read Books on AI

KDnuggets

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
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How to Conduct Performance Load Testing for Analytics

Sisense

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
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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Zen and the Art of Data Maintenance: People Silos Cause Data Silos

TDAN

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 […].

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Probability Learning: Maximum Likelihood

KDnuggets

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.

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Understanding your CFO/CEO’s Investment Strategy

Andrew White

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).

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Use Big Data to Make Decisions at Meetings

TDAN

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 […].

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Next Level Power BI – SVG Symbols

Paul Turley

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.

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4 Graph Algorithms on Steroids for data Scientists with cuGraph

MLWhiz

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.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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How to Become a Successful Healthcare Data Analyst

KDnuggets

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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Tales & Tips from the Trenches: Distinguish Graph DBs from Other DBs

TDAN

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 […].

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State of Enterprise AI in India 2019 Report

bridgei2i

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.

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Data Leadership – Algmin / Dataversity Book Review

TDAN

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 […].

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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AIM-Report

bridgei2i

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.

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Tectonic Shifts in Data and Analytics

TDAN

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 […].

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Xi Frame for Google Cloud Platform Now Generally Available

Nutanix

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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Retail and AI: How Artificial Intelligence Is Changing the Industry

DataRobot

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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Power to the People: Vantage Analyst in Action

Teradata

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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It Takes Two to Tango: Knowledge Graphs and Text Analysis

Ontotext

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
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Deep Prognosis: Predicting Mortality in the ICU

Insight

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?

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Automatic Data Dictionary Mapping Using Machine Learning

Octopai

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

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.