Tue.Nov 17, 2020

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Invaluable Tips for Selecting Internet Service in the Age of Big Data

Smart Data Collective

Big data is changing the dynamics of the consumer experience in countless ways. One variable that we don’t think as much about is the nature of our Internet service in the big data era. Back in July, we talked about ways that Internet service providers are using big data to provide a better customer experience. The general infrastructure of the Internet may not have changed much, but the services that customers depend on has changed a bit in a world governed by big data.

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A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists!

Analytics Vidhya

Overview Understand the integration of PySpark in Google Colab We’ll also look at how to perform Data Exploration with PySpark in Google Colab. The post A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists! appeared first on Analytics Vidhya.

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Why Your Startup Needs Data Science

TDAN

Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].

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Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem

Analytics Vidhya

“Ignore the gatekeepers who expect you to have a Ph.D. A relevant study can be more useful than a Ph.D.” – Ahmet Erdem Golden. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem appeared first on Analytics Vidhya.

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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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Fraud Detection using Deep Learning

Cloudera

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important.

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Recommendation Engines: How They Work (in Plain English!)

Dataiku

In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction. Today we’ll dive into recommendation engines, which can use either supervised or unsupervised learning.

More Trending

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Predicting long-term user engagement from short-term behavior

Insight

A strategy to determine the long-term aggregate behavior of an app user based on limited short-term information. Continue reading on Insight ».

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Lean AI: Powering Intelligent Automation – The third wave of operational efficiency?

bridgei2i

Lean AI: Powering Intelligent Automation – The third wave of operational efficiency? Automation is an old word. Like a shapeshifter in mythical stories, it has changed multiple forms and shapes over the decades, but still remains critical in driving business efficiency gains. We look at three waves of this change. Over twenty years back, in the first wave, automation was part of the entire Six Sigma and Lean Six Sigma approach to processes.

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Zen and the Art of Data Maintenance: Data ‘Mine’ing and Universal Data Semantics

TDAN

There is a great deal of talk in our industry about the importance of having common, standard data semantics and language and the value this brings. However, I think one of the greatest obstacles in achieving this is what I call data ‘mine’ing. I am not talking about ‘data mining’ meaning, “the process of collecting, […].

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13 Use Cases for Data-Driven Digital Transformation in Finance

DataCamp

Financial institutions can seamlessly integrate digital technologies with data-driven insights.

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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.

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DAMA International Community Corner: November 2020 Update

TDAN

Announcements and News from DAMA International and Local Chapter members! Welcome to DAMA International Community Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration, data management disciplines and best practices. Each column provides an update on the professional organization DAMA International, and an opportunity […].

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Is Skepticism Thwarting Your Grandiose AI Plans?

Teradata

The currency of Trust is taking on a new form. As insurance companies rely more on artificial intelligence to make decisions, humans must now trust machines as much as Humans.

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Well-Publicized Data Breaches of 2020

TDAN

Cybercriminals are exploiting the COVID-19 pandemic to carry out highly advanced cyberattacks on many industries and companies of different sizes. During the first six months of 2020, several Fortune 500 businesses became victims of major data breaches, after which hackers were able to sell account credentials and sensitive data, as well as confidential and financial […].

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5 reasons why SCADA systems get a failing grade

3AG Systems

In our discussions with general managers, industrial engineers and continuous improvement managers, we encounter a common refrain: supervisory control and data acquisition (SCADA ) systems are not easy to use. Why is this the case, and what can be done to improve the central nervous system for the factory floor? Here are some of the key issues with many of today’s SCADA systems: SCADA is 20 th century technology in the 21 st century SCADA systems typically mimic the physical plant layout SCADA

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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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A Beginner’s Guide to NoSQL

TDAN

Whether you’re opening a website or running a business, it’s very likely that you’re going to be using some sort of digital database, especially since the days of writing everything on punch-cards are thankfully behind us. Not only that, but the truth is that everybody produces and has to deal with some data, and so […].

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Securing EUC for Protection from Ransomware and Malware

Nutanix

End User Computing (EUC)—including virtual desktop infrastructure (VDI) and Desktop as a Service (DaaS)— helps improve WFH security by eliminating the need to store critical data on endpoint devices that can be easily lost, stolen, or compromised.

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The Role of Data in Politics

TDAN

One of the rules in political science is to not let data drive your theories. In other words, one should try to come up with a theory before looking at the data on which it will be tested. This minimizes the risk of misinterpreting correlation for causation, a common mistake in social sciences. To make […].

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Consequences

Timo Elliott

“They seem to be missing…” “Well, did you look? When did you last see them?

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Cloud Doesn’t Fix Your Dev/Test Challenges? You Need Intelligent Test Environment Management

Nutanix

Smart IT teams are discovering that a multicloud approach—combining on-prem and public cloud infrastructure with advanced automation—delivers greater agility while helping control costs.

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Analyzing Large P Small N Data – Examples from Microbiome

Domino Data Lab

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., the entire genome, the amounts of metabolites, the composition of the microbiome). These technologies have been described as the ‘universal detection’ of molecules in cells, tissue, or organisms in an unbiased and un-targeted way [1].

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Securing EUC for Protection from Ransomware and Malware

Nutanix

End User Computing (EUC)—including virtual desktop infrastructure (VDI) and Desktop as a Service (DaaS)— helps improve WFH security by eliminating the need to store critical data on endpoint devices that can be easily lost, stolen, or compromised.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. linear regression, trees) can be too rigid in their functional forms. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

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Entity Resolution Checklist: What to Consider When Evaluating Options

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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Cloud Doesn’t Fix Your Dev/Test Challenges? You Need Intelligent Test Environment Management

Nutanix

Smart IT teams are discovering that a multicloud approach—combining on-prem and public cloud infrastructure with advanced automation—delivers greater agility while helping control costs.

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#ClouderaLife Spotlight: Teresa Morris, Sr. Manager, Technical Partner Support

Cloudera

Meet Teresa Morris! A 3.5 year Clouderan working as a Sr. Manager, Technical Partner Support. Her role entails building and managing support partnerships – it’s one she finds rewarding. “It’s not a one project kind of thing, it’s a whole experience of managing partnerships that bring more business. Being a part of a digital transformation and all the things that drive customers experience is so fulfilling.” .

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Protecting Your Excel Reporting by Connecting Directly to Your SAP Data

Jet Global

SAP’s library of pre-defined reports for Finance and Controlling (FICO) is great for addressing some of the core tasks associated with finance and accounting. Those reports align well with accounting standards under GAAP and IFRS. Unfortunately, they rarely do a good job of addressing the kind of reporting needed to make informed managerial decisions.