Sat.Dec 12, 2020 - Fri.Dec 18, 2020

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4 Employee Experience Metrics Your Business Should Track

Smart Data Collective

How do your employees experience their professional lives? It’s a worthwhile question, yet one that can seem frustratingly vague or hard to measure – but it doesn’t have to be. Rather, as software companies craft new employee experience (EX) platforms designed around communication, data management, and feedback collection, businesses now have access to the perfect tools.

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Tips to Achieve Tax Agility in 2021

Jet Global

By any measure, 2020 has been a difficult year for organizations to navigate. Changing tax laws, global regulatory scrutiny, and rigid reporting deadlines have already contributed to a challenging environment for corporate tax teams. But the emergence of COVID-19 layered even more complexity on their ability to predict ETRs and to support their organizations with accurate forecasts.

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A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

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Top 5 Articles of 2020 to progress your CX journey

Corinium

With 2020 coming to a close, and the continued impact COVID has had on businesses, we have collated the 5 best must read articles to progress your CX journey into 2021.

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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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Introducing the Responsible AI in Practice Series (and Use Case #1!)

Dataiku

What happens when AI systems make a mistake? Why does that matter? Well, the mistakes can result in significantly impactful errors that cause harm, a very palpable risk for organizations across industries, from healthcare and finance to marketing and retail.

Finance 116
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Data-Driven EHR Systems Are Invaluable to the Patient Experience

Smart Data Collective

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. While stories about the sudden growth of big data in healthcare make for great headlines, they don’t always delve into the details. There are a lot of different applications for big data in the healthcare sector.

More Trending

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Data Trends 2021: The Year of Data Fluency

DataCamp

In 2021 and beyond, we’ll see better tooling across the spectrum of data fluency, higher emphasis on skills, and greater access to data across organizations.

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Fostering inclusion with servant leadership

Cloudera

It is crucial for organizations to focus on supporting the new way of work, enhancing productivity, and improving cost efficiency to ensure business survival in the post-pandemic world. However, those that are overly focused on these short-term goals risk losing sight of what’s truly important. As shared in my previous post , diverse teams can help organizations unlock innovations that allow them to adapt to market changes quickly and drive business growth.

Marketing 111
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How Can Blockchain Technology Improve VoIP Security?

Smart Data Collective

We have talked in depth about the benefits of big data with VoIP. One benefit that has been overlooked is the use of big data and blockchain to improve VoIP security. VoIP has become a leading choice for business communications. It offers savings of up to 90% on international calls, 75% on operational costs , 40% on local call bills, and 30% on phone bills – as reported by Finances Online.

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Feature Engineering Using Pandas for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview: Feature engineering is one of the most critical steps of the. The post Feature Engineering Using Pandas for Beginners 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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2021 AI Trends: The Tipping Point

Dataiku

When we were looking ahead to 2020 at the end of last year, everything was about scale and becoming bigger, better, and bolder. After a tumultuous year, teams are undoubtedly more focused on retooling, finding creative ways to collaborate efficiently, and working in a new (and ever-evolving) world. When things return to status quo, that need to collaborate isn't going to go away.

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Sisense Q4 2020: Analytics for Every User With AI-Powered Insights

Sisense

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Every company is becoming a data company; there’s no getting around it. Savvy organizations know they don’t need to fear data and analytics — they see better insights as the pathway to a brighter future.

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Big Data Proves Invaluable to Retail Supply Chain Management

Smart Data Collective

Retailers are struggling to keep up with a growing demand for online purchases. They have found that the pandemic has completely upended their business models, as customers shift towards online commerce. This has driven many companies to find more innovative ecommerce marketing models that rely on big data. As such, retailers have an even tougher job of keeping on top of supply and demand.

Big Data 110
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Machine Learning Model – Serverless Deployment

Analytics Vidhya

Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.

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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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Making a Dynamic Bar Chart in Juicebox

Juice Analytics

We designed Juicebox to be the easiest way to present your data. It offers the power and flexibility to create data stories that combine exploration while emphasizing your message. But sometimes you just need to share something simple — like a dynamic and drill-able bar chart. I want to show you how easy that is to do in Juicebox. This video tutorial will take you through the process of creating a Juicebox dashboard in less than 5 minutes.

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ETL Antipattern: Performing Full Loads Instead of Incremental Loads

Tim Mitchell

In my last post in the ETL Antipatterns series, I wrote about the common antipattern of ingesting or loading more data than necessary. This brief post covers one specific case of loading more data than necessary by performing a full data load rather than using a smaller incremental load. ETL Antipattern: performing full loads instead of incremental loads Earlier this.

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Learner Spotlight: Nigeria’s DataCamp Evangelist

DataCamp

How Felix Ayoola, a student and graphic designer in Nigeria, helped over 1,500 learners get free access to data skills training.

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Top Female AI Influencers in 2020 Who Rocked the Data Science World!

Analytics Vidhya

Overview Have a look at the list of Top 11 Female AI influencers of 2020. We have attached their respective social media handles so. The post Top Female AI Influencers in 2020 Who Rocked the Data Science World! appeared first on Analytics Vidhya.

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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.

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Making a Scatterplot Visualization in Juicebox

Juice Analytics

We designed Juicebox to be the easiest way to present your data. It offers the power and flexibility to create data stories that combine exploration while emphasizing your message. But sometimes you just need to share something simple — like a scatterplot visualization and details table. I want to show you how easy that is to do in Juicebox. This video tutorial will take you through the process of creating a simple Juicebox app in less than 5 minutes.

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Benevolence of Assistive AI in Decreasing Natural Disaster Damage

Smart Data Collective

A few years ago, we talked about the benefits of using AI and big data in disaster relief. We have recently seen how important these applications are, as the damage of natural disasters is worse than ever. Mother Nature has been busier than ever this year, with natural disasters adding to the stress of the COVID-19 pandemic. A number of hurricanes have wreaked havoc on the Gulf Coast, and wildfires recently devastated the West Coast.

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BI Reporting Nightmare: Where Did This Error Originate?

Octopai

Imagine a typical day in the office of your average BI team. Data is processing, information is moving through various systems, and reports are generating valuable insights for the decision-makers down the line. Then a BI reporting nightmare crops up – a significant mistake has been discovered in a data field. None of the BI professionals on the team have any idea where this issue originated.

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Top 10 Data Science Webinars of 2020!

Analytics Vidhya

Overview Here is a list of Top 10 Data Science Webinars Organized by Analytics Vidhya in 2020 These Data Science Webinars are ranked on. The post Top 10 Data Science Webinars of 2020! appeared first on Analytics Vidhya.

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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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The Business Case for a Common Language – Not “If,” but “What and When?”

TDAN

Weinberg’s Second Law: If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization.[1] Introduction Opportunity While most people don’t think about it very often, common language is essential to day-in, day-out commerce. Companies and others[2] employ standards to ensure that a meter is the same length world-wide, calendars ensure […].

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Enabling The Full ML Lifecycle For Scaling AI Use Cases

Cloudera

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. While it’s important to have the in-house data science expertise and the ML experts on-hand to build and test models, the reality is that the actual data s

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Hackers Steal Credit Cards Using Google Analytics: How to Protect Your Business From Cyber Threats

Smart Data Collective

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. According to an investigation from Kaspersky Lab, a new hacking technique that’s been developed to tap into Google Analytics to steal confidential data surrounding payment cards and passwords among much more information that can be exploited.

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Misguiding Deep Neural Networks: Generalized Pixel Attack

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Recent advancements in machine learning and deep neural networks permitted us. The post Misguiding Deep Neural Networks: Generalized Pixel Attack appeared first on Analytics Vidhya.

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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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The FireEye Attack and 4 Security Moves to Make Right Now

CDW Research Hub

We have all been witnessing the global impact of the health and economic events of 2020. As the year draws to a close, we are also now witnessing the unfolding discovery and investigation of a cyberattack the scope of which continues to grow. The full extent of this attack and its repercussions may never be fully known. In early December of 2020, the cybersecurity firm FireEye discovered it had been a victim of an attack.

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Cloudera Replication Plugin enables x-platform replication for Apache HBase

Cloudera

The Cloudera Data Platform (CDP) is the latest Big Data offering from Cloudera. It includes Apache HBase and Phoenix as part of the platform. These two components are provided in 3 form-factors: For on-prem deployments, they are available in a manner similar to CDH & HDP (within the CDP Private Cloud offering). For customers that want to manage the database on their own in AWS & Azure, it is available as part of the CDP Public Cloud DataHub offering (with the Operational Database templa

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CSAT KPIs: Measuring What Customers Really Think

Smart Data Collective

Customer satisfaction (CSAT) metrics are a powerful tool for businesses, but despite the way we talk about it, satisfaction isn’t something you can easily measure. Instead, we typically measure satisfaction by proxy, based on answers to more easily quantifiable questions – and though there are companies that do try to measure satisfaction directly, they’re less likely to be collecting actionable data.

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An Approach towards Neural Network based Image Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: Hi everyone, recently while participating in a Deep Learning competition, I. The post An Approach towards Neural Network based Image Clustering appeared first on Analytics Vidhya.

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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the