Thu.Aug 27, 2020

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What is Better for Data Science Learning and Work: Julia or Python?

Analytics Vidhya

Introduction Python has been around since the 1990s, and now it’s one of the most popular programming languages in the world. The reason why. The post What is Better for Data Science Learning and Work: Julia or Python? appeared first on Analytics Vidhya.

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Connect the Data Lifecycle: The power of data

Cloudera

There’s no doubt that cloud has become ubiquitous, and thank goodness for that in 2020. We wouldn’t have survived the challenges of this year without cloud. It’s supported everything, from the sudden changes in the way we work to the way we access healthcare and even shop for vital goods. While cloud is the vehicle, it’s what sits on it that makes it so valuable — data.

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Exploratory Data Analysis(EDA) from scratch in Python!

Analytics Vidhya

Introduction Exploratory data analysis is one of the best practices used in data science today. While starting a career in Data Science, people generally. The post Exploratory Data Analysis(EDA) from scratch in Python! appeared first on Analytics Vidhya.

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Cloud-Based Supply Chain Risk Management Is Key To A Company’s Future

Smart Data Collective

Cloud technology is leading to a number of disruptive changes for many companies all over the world. One of the areas where cloud technology has had a large impact is with supply chain management. There is a great article on Medium about the importance of moving your supply chain to the cloud. There are many reasons that this is important if you want to minimize disruption to your supply chain in 2020.

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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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How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo

Analytics Vidhya

Overview We will discuss aggregation pipelines in MongoDB. We will see how to use the operator like the match, group, bucket, and facet. The post How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo appeared first on Analytics Vidhya.

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Juice Analytics Celebrates Women's Equality Day

Juice Analytics

Today, August 26th, 2020 we will be observing Women’s Equality Day. In an effort to show off the talented and diverse women that we have working at Juice, we invited several of our employees to talk about equality and what it means to be a woman in tech. We asked for these women to answer the following questions: What does equality mean to you? What is your experience in being a woman in tech?

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How To Manage OpenShift Secrets With Akeyless Vault

Smart Data Collective

Developed by RedHat, OpenShift is an enterprise-grade hybrid cloud Kubernetes platform. It is essentially a commercial version of the open source container orchestration system designed to automate the deployment, management, and scaling of containerized applications. OpenShift can be described as a hybrid K8s application platform that operates as a platform-as-a-service (PaaS), which means it is a containerization platform.

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How Midsize Businesses Leaders Turn Extreme Stress Into Grit And Creativity

Timo Elliott

Dreams are powerful. They inspire every company founder to lead their business with a clear purpose and vision. But over time, those visions sometimes become diluted and obscured as tough times set in. Unfortunately, it’s all too easy to forget dreaming when facing extreme stress from uncertainty and constant disruption. Business leaders, as well as their employees, can become so preoccupied with firefighting that no time is left to ensure the business is on the right track and aligned wit

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Revolutionizing Private Equity with Investment Performance Analytics 

InsightOut

There's a growing trend towards data-driven investing within private equity, led by a breed of firms that are drawing on all the capabilities of advanced analytics to maximize revenue opportunities. Data analytics and machine learning are quickly changing the private equity industry.

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Will a Few Milliseconds Ruin Your Analytics Performance in the Cloud?

Teradata

Learn why milliseconds of WAN network latency can wreak havoc on performance for analytics in the cloud. Read more.

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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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How Portfolio Analytics is Transforming Private Equity

InsightOut

In the last handful of years, the business climate has become increasingly dynamic, giving rise to innovative and transformative strategies for private equity firms to drive growth in their portfolio companies and create value with data-driven solutions.

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Generally, Who Should Prepare Consolidated Financial Statements?

Jet Global

Consolidated financial statements are an increasingly important consideration for larger, global organizations. In general, consolidated financial statements should be prepared by a dedicated team or a point person who can take ownership and be held accountable for the consistency and accuracy of their output. Let’s take a closer look at how you can successfully manage your organization’s financial consolidation process.

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5 Reasons Why Private Equity Firms Must Use Portfolio Analytics 

InsightOut

Data analytics, machine learning, and artificial intelligence are frequently heard in the context of private equity investment today. How can these technologies affect the outcomes of private equity investments and why should PE firms use portfolio analytics? We unpack the top 5 reasons.

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The Complex Reality of Personal Data In The Credit Card Industry

Smart Data Collective

It’s no secret we live in a digital world! We all live entirely electronically, whether it is with the Zoom meetings that are keeping us busy or the phones we’re glued to every second. What many people fail to recognize, though, is just what that means for individual safety. We now live in a world where a person has a unique digital footprint, for which they bear some responsibility.

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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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Revolutionizing Private Equity with Investment Performance Analytics 

InsightOut

There's a growing trend towards data-driven investing within private equity, led by a breed of firms that are drawing on all the capabilities of advanced analytics to maximize revenue opportunities. Data analytics and machine learning are quickly changing the private equity industry.

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SAP Reporting and Analysis Made Simple

Jet Global

Several years ago, SAP launched a marketing campaign built around the theme of “Run Simple”. To some, it may have seemed like an odd choice of words. SAP, after all, is enormously complex. Many of the largest companies in the world use SAP to operate multiple legal entities spread across the globe. SAP software is used for financials, manufacturing, inventory planning, human resources, travel and expense, and virtually every other category you can imagine.

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How Portfolio Analytics is Transforming Private Equity

InsightOut

In the last handful of years, the business climate has become increasingly dynamic, giving rise to innovative and transformative strategies for private equity firms to drive growth in their portfolio companies and create value with data-driven solutions.

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Why ERP vendors don’t gouge you up front

3AG Systems

Traditional ERP vendors may bleed client organizations dry in the long run but they never do so in the early stages of adoption and implementation—because they don’t have to. They will more than make it up in backend maintenance and service. Most people are now familiar with the Software-as-a-Service (SaaS) business model. SaaS allows subscribers to aquire services on a monthly basis instead of as single, one-time license purchases.

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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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5 Reasons Why Private Equity Firms Must Use Portfolio Analytics 

InsightOut

Data analytics, machine learning, and artificial intelligence are frequently heard in the context of private equity investment today. How can these technologies affect the outcomes of private equity investments and why should PE firms use portfolio analytics? We unpack the top 5 reasons.

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Join Our Movement to Democratize Data Education

DataCamp

We’ve added five fantastic organizations to our growing list of partners—they’re helping us to democratize data science education.

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5 Ways to Turn Data into Actionable Insights 

InsightOut

Businesses need a concrete data strategy to maximize their use of business data and uncover actionable insights. Here we detail 5 ways to do more with your data.

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Why C-Suites Are Demanding Automated Insights 

InsightOut

For CXOs at organizations of all sizes, AI-driven automated insights holds the promise of better decision-making.

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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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Why C-Suites Are Demanding Automated Insights 

InsightOut

For CXOs at organizations of all sizes, AI-driven automated insights holds the promise of better decision-making.

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AI-powered business insights: The new digital frontier

InsightOut

With AI at the forefront of technological development, many data and analytics technology trends have emerged over time, which are likely to prove disruptive. We explore a few of these emerging trends.