August, 2022

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Metaverse: The time for CIOs to experiment is now

CIO Business Intelligence

For the past forty years CIOs have labored to retrofit, rearchitect, and ultimately replace underfunded and underappreciated legacy infrastructures in hopes of delivering the full benefits associated with periodically occurring waves of transformative emerging technologies.

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Digital Fashion: The Next Frontier in Fashion

DataFloq

On September 13, 2021, Kim Kardashian donned an all-black attire by Balenciaga at the Met Gala. Her stark black Balenciaga haute couture gown with matching mask drew a lot of conversation online, even within the Fortnite community.

Marketing 308
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Qlik Advances Self-Service Analytics and Business Intelligence

David Menninger's Analyst Perspectives

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes.

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On Technique

O'Reilly on Data

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true.

Software 230
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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

This exclusive webinar with William Hord, Senior VP of Risk & Professional Services, will explore the foundational elements you need to start or validate your ERM program. He will also dive into topic definitions, governance structures, and framework components for success.

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Building a simple Flask App using Docker vs Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours.

Analytics 349
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay.

Big Data 263

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What is Big Data and Human Privacy?

DataFloq

Yuval Noah Harari, a famous historian, posits, “Accumulation of data in the hands of governments, companies, and organizations renders human privacy vulnerable.” ” Spying on citizens has been present in human society from the very beginning.

Big Data 309
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Embed Analytics for Greater Reach and More Responsiveness

David Menninger's Analyst Perspectives

When I looked at the state of analytics recently , it was clear that analytics are not as widely deployed within organizations as they should be.

Analytics 162
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Scaling False Peaks

O'Reilly on Data

Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits.

Modeling 195
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Introduction to Requests Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library.

Analytics 356
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The Power of Storytelling in Risk Management

Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC

Join this exclusive webinar with Dr. Karen Hardy, where she will explore the power of storytelling in risk communication as a core component of a resilient organization's management framework!

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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

The market for cloud technology is booming. Companies spent over $405 billion on cloud services last year. The sudden growth is not surprising, because the benefits of the cloud are incredible. Enterprise cloud technology applications are the future industry standard for corporations.

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Build a Reproducible and Maintainable Data Science Project: A Free Online Book

KDnuggets

This free online book is a fantastic resource on how to structure, manage, and maintain your real-world data science projects. KDnuggets Originals Data Science

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Important Technologies to Grow and Scale Your Tech Startup

DataFloq

There is no way around it – tech startups need to make several crucial investments early on in order to secure financial stability, ensure scalability and pave the road to long-term success.

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Expanding the Analytics Continuum: From Analysis to Action

David Menninger's Analyst Perspectives

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

Analytics 162
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Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

This exclusive webinar with Ryan McInerny will teach you all about cryptocurrency and NFTs! Register to learn more about identifying crypto transactions, crypto asset market trends, managing risk and compliance, and supporting customers and partners using crypto-based payments.

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We are happy to be a B Corp Certified business

Phocas

We’re incredibly excited to announce that we’re officially B Corp Certified. We are among more than 400 companies in Australia and approximately 5100 companies worldwide to have this certification. This shows we have met the highest standards of social and environmental impact.

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The Ultimate Guide To Pandas For Data Science!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. But, how do we deal with such a massive amount of data?

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5 Ways B2B Companies Can Use Analytics for Pricing

Smart Data Collective

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. That figure is expected to grow as more businesses discover its benefits. There are many important applications of data analytics technology.

B2B 130
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7 Techniques to Handle Imbalanced Data

KDnuggets

This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced. KDnuggets Originals Machine Learning

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Exploring the Overlap: Cost Optimization and Digital Transformation

Speaker: Alex Jiménez, Managing Principal, Financial Service Consulting for EPAM

The largest banks have increased reserves for protection against deteriorating economic conditions. Should banks delay their digital transformation investments and focus on cost reductions? In this webinar, Alex Jiménez will walk us through that question and examine the prudent course of action.

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Moving to a Tokenized Economy: Challenges and Opportunities

DataFloq

Since Satoshi Nakamoto released the Bitcoin paper in 2008, we have come a long way in our collective understanding of how tokens impact our economy.

Finance 263
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Palantir Operationalizes Analytics and Data for Actions and Decisions

David Menninger's Analyst Perspectives

Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions.

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Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement

IBM Big Data Hub

As the US Open’s official technology partner, IBM Consulting works with the United States Tennis Association (USTA) to turn tennis data into engaging fan insights through AI and automation.

Big Data 119
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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Analytics 339
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The Anti-Money Laundering Act of 2020: Initial Catalysts, Current Implications, and Future Impacts

Speaker: Elizabeth "Paige" Baumann, Founder and CEO of Paige Baumann Advisory, LLC

In this session, Elizabeth “Paige” Baumann will cover the Anti-Money Laundering Act of 2020, which also includes the Corporate Transparency Act. She'll take a deep dive into the catalysts that brought on the act, the current implications of the act, and what impacts the act has on the future of banking and finance.

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SQL Server and the Cast Function for Data-Driven Companies

Smart Data Collective

A growing number of businesses are relying on big data technology to improve productivity and address some of their most pressing challenges. Global companies are projected to spend over $297 billion on big data by 2030. Data technology has proven to be remarkably helpful for many businesses.

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5 Tricky SQL Queries Solved

KDnuggets

Explaining the approach to solving a few complex SQL queries. KDnuggets Republished SQL

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Dealing With Air Pollution in Data Centers

DataFloq

Keeping data center air as free of contaminants as possible is essential to operations. It's important to those working inside the center, and a buildup of pollution could also damage the machinery. Outages are happening too frequently and are only becoming more expensive to deal with.

IoT 254
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Accelerate Analytics for All

Cloudera

?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team?

Analytics 119
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The ABM Benchmark Survey

ABM gets better with age — but unfortunately, marketers don't have the luxury of pouring it into an oak barrel for a couple decades to let it mature. It’s clear there’s a maturity gap in ABM strategies, so how can marketers start closing it?

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AI for Time Travel? Well, Almost

Dataiku

AI predictions compress time: Reduce credit card refunds from 60 to 30 days or time to detect chip manufacturing problems from 36 hours to zero.

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Multi-variate Time Series Forecasting using Kats Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting.

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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

Artificial Intelligence (AI) has significantly altered how work is done. However, AI even has a bigger impact by enhancing human capabilities. Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance.

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What Does ETL Have to Do with Machine Learning?

KDnuggets

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning. KDnuggets Originals Machine Learning

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The Definitive Guide to Embedded Analytics

Data-driven decisions are no longer reserved for the few. Everyone needs data insights from the applications they use every day. Learn how embedded analytics is boosting user adoption, creating apps people love, and changing the game for software and SaaS providers.