December, 2022

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How AI and Chatbots are Changing the Development Landscape

DataFloq

Artificial intelligence , along with deep learning systems, is one of the key driving forces in modern software and hardware development.

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Recognize and Plan for the AI and Machine Learning Skills Gap

David Menninger's Analyst Perspectives

Recently, I suggested you need to “ mind the gap” between data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML).

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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more.

Modeling 337
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Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

KDnuggets

Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence. KDnuggets Evergreen KDnuggets Republished Career Advice

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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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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases.

Big Data 143
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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 140

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Cloud Computing Realities Part 4 — Security and Governance

David Menninger's Analyst Perspectives

In previous perspectives in this series, I’ve discussed some of the realities of cloud computing including costs , hybrid and multi-cloud configurations and business continuity. This perspective examines the realities of security and regulatory concerns associated with cloud computing.

Risk 278
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Meta-Reinforcement Learning in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Generally, machine learning can be classified into four types: supervised machine learning, unsupervised machine learning, semi-supervised machine learning, and reinforcement learning.

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More Data Science Cheatsheets

KDnuggets

It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest. KDnuggets Originals Data Science

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Bringing finance to the Business and the business to Finance

Phocas

When we think of sales and finance, it can sometimes feel like these two professions will never see eye to eye. They’re skilled and wired differently and let’s face it, Excel and complicated accounting methods don’t help. That’s where the magic of Phocas software comes into play.

Finance 130
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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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How Vulnerable Are Supply Chains to Hacking?

Smart Data Collective

It’s easy to sound paranoid when talking about cyber security. Threats actually are everywhere. In your local coffee shop. Lurking on the first page of your favorite search engine. In your email inbox. One small mistake can bring business empires to their knees. It happened to Marriot.

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Developing Technology for Studying Quantum Phase Transitions

DataFloq

Researchers worldwide are developing new technologies for studying, documenting and triggering quantum phase transitions. Learning more about them could open up new possibilities in materials science, electronics and quantum computing.

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Sisense is Sensible for Embedded Analytics and BI

David Menninger's Analyst Perspectives

Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions.

Analytics 262
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Know about Zero Shot, One Shot and Few Shot Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines would require thousands of samples to identify the objects. Learning from a limited sample would be challenging in machine learning.

Analytics 315
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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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Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning

KDnuggets

This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff. KDnuggets Originals Python

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Bringing finance to the Business and the business to Finance

Phocas

When we think of sales and finance, it can sometimes feel like these two professions will never see eye to eye. They’re skilled and wired differently and let’s face it, Excel and complicated accounting methods don’t help. That’s where the magic of Phocas software comes into play.

Finance 130
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5 Best Practices for Extracting, Analyzing, and Visualizing Data

Smart Data Collective

Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. It has greatly aided in the automation of formerly manual activities, making everything more smooth and efficient.

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Importance of Human Interaction as AI and ML Rises

DataFloq

Interaction, communication, and emotional approach are the key characteristics of humans. However, as digital transformation in modern enterprises reaches new heights, AI and ML tools have mostly replaced the role of humans in interactions.

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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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Oracle Links Analytics and Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions.

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Interview Questions on KNN in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction K nearest neighbors are one of the most popular and best-performing algorithms in supervised machine learning.

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5 Tasks To Automate With Python

KDnuggets

Here are 5 tasks you can automate with Python, and how to do it. 2021 Jun Tutorials, Overviews KDnuggets Republished Python

IT 145
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What are your company's most important financial ratios?

Phocas

Companies that make data-driven decisions do better. While this is a common-sense opening line, you might be surprised at the number of businesses that only look at surface-level data like total sales.

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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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How to Plan a Cybersecurity Strategy for Your Small Business

Smart Data Collective

Do you think a small business owner need not worry about cyberattacks? 46% of all cyberattacks impact businesses with less than 1000 employees. Small businesses have fewer resources to invest in the security paradigm.

Strategy 130
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Crucial Python Development Trends for 2022-2023

DataFloq

Every developer and programmer knows that Python has accomplished much in its 30 years or three decades and has effectively offered many other key computer languages strong competition.

IoT 263
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Make Intelligent Decisions with Decision Intelligence

David Menninger's Analyst Perspectives

For far too long, business intelligence technologies have left the rest of the exercise to the reader.

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A Guide to Vyper and its Environments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3.

IT 310
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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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How to Get Your First Job in Data Science without Any Work Experience

KDnuggets

Creativity, grit, and perseverance will become the three words you live by. KDnuggets Evergreen KDnuggets Republished Career Advice

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What are your company's most important financial ratios?

Phocas

Companies that make data-driven decisions do better. While this is a common-sense opening line, you might be surprised at the number of businesses that only look at surface-level data like total sales.

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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

With technological advancement, data revolutionizes many business processes. Experts assert that one of the leverages big businesses enjoy is using data to re-enforce the monopoly they have in the market.

Big Data 120
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AI Ethics: What Is It and How to Embed Trust in AI?

DataFloq

The next step of artificial intelligence ( AI ) development is machine and human interaction. The recent launch of OpenAI's ChatGPT , a large language model capable of dialogue of unprecedented accuracy, shows how fast AI is moving forward.

IT 258
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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.