Sat.Nov 14, 2020 - Fri.Nov 20, 2020

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Data Engineering 101 – Getting Started with Apache Airflow

Analytics Vidhya

Overview Understanding the need for Apache Airflow and its components We will create our first DAG to get live cricket scores using Apache Airflow. The post Data Engineering 101 – Getting Started with Apache Airflow appeared first on Analytics Vidhya.

Analytics 326
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CX Champions: How CX Leaders Who Raise Their Game Are Driving Business Success

Corinium

Delivering a great CX is among many business leaders' top priorities, but it's hard to know where to devote time and resources to make it happen. To help businesses plan accordingly, Zendesk partnered with ESG Research to build a framework around CX maturity and CX success. The findings for companies based in ANZ and APAC are summarized in our report.

Reporting 195
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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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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.

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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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Introduction to Clustering in Python for Beginners in Data Science

Analytics Vidhya

Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.

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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.

More Trending

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10 Spectacular Big Data Sources to Streamline Decision-making

Smart Data Collective

The market for big data is surging. It is expected to be worth $274 billion within the next two years. The increasing demand for big data is not surprising. We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information.

Big Data 130
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Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources)

Analytics Vidhya

Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.

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Combating Fraud in Insurance with Data

Cloudera

Well, it is International Fraud Awareness Week, focused on promoting fraud prevention and education. A fantastic initiative! Maybe I am naïve but I feel a bit sad that there is a need for “fraud week”. The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting.

Insurance 103
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erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row

erwin

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. This year, erwin had the largest move of any player on the Quadrant and moved up significantly in terms of “Ability to Execute” and also in “Vision.”. This recognition affirms our efforts in developing an integrated platform for enterprise modeling and data intelligence to support data governance, digital transformation and any other effort that relies on data for favorable o

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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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4 Ways that Data Analytics Can Boost Performance by Improving Employee Handbooks

Smart Data Collective

Big data is helping companies in every industry boost productivity in a number of ways. One way that they can use big data to improve productivity is by creating a set of employee conduct and performance guidelines that will help them keep their employees on track. They can solidify their policies in an employee handbook after using big data to determine the best approach.

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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.

Analytics 347
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Doing Power BI the Right Way: 8. Planning for separation – data models & reports

Paul Turley

Part of the the series: Doing Power BI the Right Way Back in the day, when we created BI solutions, reports and data models were separate. If you created a cube or Tabular model with Analysis Services, it was developed with Visual Studio and deployed to a server.

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How Scenario Planning for Tax Forecasts Should Work in 2021

Jet Global

Scenario planning is an increasingly important way for multinational enterprises to operate effectively in an uncertain and unpredictable world. It helps them to react to small and large market fluctuations in the most cost-effective and strategic manner, modelling ”what-if” situations according to both known and unknown information. Rapid advances in technology are helping to transform the way organizations carry out scenario planning, allowing them to adapt a continuous planning mindset to oth

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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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The Fascinating Role of Data Visualization and Techniques for Assorted Variables

Smart Data Collective

Data is one of the most valued assets for the businesses today. And since every aspect of the organization creates data, which is relevant to the businesses to understand the whys and whens in the processes, companies are in a rush to gain the ability to capitalize on what data has to offer. This capturing of value from the data and to present it in a readable, understandable format for the non-experts to implement the insight are still a challenge.

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Want to Build a Career in Data Science? Learn from these 5 Data Science Videos!

Analytics Vidhya

Overview Here is a list of 5 Data Science Career Related Webinars Feel free to add other data science career webinars in the comments. The post Want to Build a Career in Data Science? Learn from these 5 Data Science Videos! appeared first on Analytics Vidhya.

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Happy 40th Anniversary, Sirius!

CDW Research Hub

This month, Sirius turns 40! Founded in San Antonio, Texas in 1980 as Star Data Systems, Sirius has grown to be one of the largest IT solutions integrators in the U.S., specializing in IT Strategy (Infrastructure and Operations), Security, Business Innovation (Digital and Data), and Cloud & Managed Solutions. Sirius has remained competitive for 40 years by partnering with the nation’s top technology brands to provide the optimal solutions for more than 5,400 active clients, by acquiring succ

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If Trust is the Main Ingredient of Leadership, Is Trust the Main Ingredient of Successful AI?

Data Virtualization

Having been privileged to witness the evolution of the data science and artificial intelligence (AI) scene in the Middle East for the past 10 years and having spoken at one of the first big data events in Dubai back in.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Absolutely Essential AI Cybersecurity Trends to Follow in 2021

Smart Data Collective

Artificial intelligence is at the forefront of the digital revolution. One of the most important ways that AI is transforming our lives is through cybersecurity. AI has created both new benefits and challenges with cybersecurity, since both ethical and black hat hackers are using it to their advantage. You need to know about the top cybersecurity trends in 2021 and how companies can safeguard their official data from hackers & other cyber goons.

Risk 112
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Exclusive Interview with 2x Kaggle Master Gilles Vandewiele!

Analytics Vidhya

Introduction “I think one of the nice things about the data science field is that it is so multi-disciplinary and that anyone who aspires. The post Exclusive Interview with 2x Kaggle Master Gilles Vandewiele! appeared first on Analytics Vidhya.

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Playing Our Part in Supporting Women’s Education in STEM

Dataiku

Dataiku is committed to shaping the future of data in a way that is fair and diverse, from promoting responsible AI to fighting racism and increasing opportunities for queer talent in tech. On top of these initiatives, we also want to play our part in guiding more women toward tech functions, supporting women’s education in s cience, technology, engineering, and mathematics (STEM).

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PODCAST: Making AI Real – Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower

bridgei2i

PODCAST: Making AI Real. Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Listening time: 13 minutes. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

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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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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.

Big Data 105
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A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python

Analytics Vidhya

Overview Understand the attention mechanism for image caption generation Implement attention mechanism to generate caption in python Introduction The attention mechanism is a. The post A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python appeared first on Analytics Vidhya.

Analytics 351
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What Are the Ethical Risks of Your AI Project?

Dataiku

AI systems may cause unintended harms and their increasing adoption leads to additional risks and scrutiny. In this blog post, I present tools project teams can use to identify ethical concerns associated with their AI use cases. I first illustrate why this is so challenging, I then discuss various ethical checklists that were designed for this purpose, and I finally provide some recommendations on how to select such a checklist.

Risk 88
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The State of Planning in Dynamic Times

Jedox

In this blog we take a closer look at the recently published BARC study “Sound Decisions in Dynamic Times.” What findings and insights can be derived for organizations and is it worthwhile to read it yourself? Let’s find out: Is your organization agile and resilient? In the current times of crisis, these buzzwords common in FP&A and planning turn out to be very important characteristics for companies and it becomes clear how well positioned they actually are.

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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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Teaching Big Data Analytics During Lockdown

Smart Data Collective

Life during lockdown has been difficult for everyone, but teachers and students have been significantly affected. Those teaching others about big data analytics, whether in schools or seminars, have been forced to rethink how they manage lessons. With everything going online, teaching big data analytics during lockdown means making the most of digital learning solutions.

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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.

Analytics 300
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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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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.