November, 2020

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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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Diving Deeper into the Data Lake

David Menninger's Analyst Perspectives

A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background. Our data lake research has uncovered some points to consider in your efforts, and I’d like to offer a deeper dive into our findings.

Data Lake 331
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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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Predictive vs. Prescriptive Analytics: What’s the Difference?

Dataiku

The bulk of an organization’s data science, machine learning, and AI conquests come down to improving decision-making capabilities. Teams may aim to achieve new levels of agility, expedite the time to insights, or refine the process leading up to the business value extraction so that it’s more efficient. When during this process, though, should data executives get either predictive or prescriptive?

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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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Maker Tools for Information Workers

Juice Analytics

We are makers in our work. Whether designing a marketing campaign, creating a presentation, or building a spreadsheet, information workers spend a lot of time creating stuff. And we want better tools to do all that making. How far have these tools come? In some cases, the complex desktop tools have been replaced by nimble, web-based (and often less feature-rich) options.

Sales 144
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Will COVID-19 Show the Adaptability of Machine Learning in Loan Underwriting?

Smart Data Collective

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.

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The Future of Enterprise Architecture

erwin

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. Are you ready for it? See also: What Is Enterprise Architecture? . COVID-19 has forced organizations around the globe to re-examine or reimagine themselves. However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, de

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An Equipment List For Virtual Presentations In An Office Or Home Studio

Timo Elliott

I have had several requests from people who want to set up some equipment for professional presentations at virtual events—a home or office studio that enables you to present live as if you were a TV weather person: Here’s a list of most of what I use (with some links, mostly to the French Amazon site where I purchased most of it — I live in Paris).

Software 125
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Measuring Fairness in Machine Learning Models

Dataiku

In our previous article , we gave an in-depth review on how to explain biases in data. The next step in our fairness journey is to dig into how to detect biased machine learning models.

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Veterans Day: What Service Means to Clouderan Vets

Cloudera

Around the world, a number of countries celebrate November 11 as a day to give thanks and recognition for their veterans. Originally designated to honor the end of World War I ( Armistice Day and Remembrance Day ), in some countries it is now used to pay respect to all veterans ( Veterans Day ). . Year after year, we use this time to express our support and appreciation to those who have served in the military.

IT 123
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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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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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Nervous about your first data science project! Here are 6 easy steps to get started!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.

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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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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 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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Recommendation Engines: How They Work (in Plain English!)

Dataiku

In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction. Today we’ll dive into recommendation engines, which can use either supervised or unsupervised learning.

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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.

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5 Reasons Technical Support is Essential in the Big Data Age

Smart Data Collective

In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue. Big data has made it possible to store information on virtually everything. Unfortunately, the growing reliance on big data hasn’t come without a cost.

Big Data 140
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How Can You Build a Career in Data Science & Machine Learning?

Analytics Vidhya

Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? 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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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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Boost Business Growth With Data Analytics

TDAN

In today’s business environment, one misstep can mean the difference between growth, stagnation, or going under. Because of this, business owners are using every tool available to gain an edge against their competition. The best resource a company has is raw data, and their best tool is effectively analyzing that data for use to their […].

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How Pharmaceutical Companies Can Continuously Generate Market Impact With AI

Dataiku

Total spending on AI-related drug discovery and development tools is expected to hit $1.3 billion in 2022, according to Boston Consulting Group. These are massive numbers and, while true that research and discovery are a key part of the life sciences and pharmaceuticals value chain, data science, machine learning, and AI can play a valuable role across its entirety.

Marketing 105
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Expediting SQL Workers means Expediting your Business

Cloudera

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! As one of my dear customers, a data worker in Pharma, said to me: “I really don’t care about bells and whistles, I just want to get my task done.

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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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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun.

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12 Essential Tips for People starting a Career in Data Science

Analytics Vidhya

Introduction Learning data science can be intimidating. Especially so, when you are just starting your journey. Which tool to learn – R or Python? The post 12 Essential Tips for People starting a Career in Data Science appeared first on Analytics Vidhya.

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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. It’s important to look beyond the surface, however, because there are some critical architectural changes that could dramatically affect how end-users get information out of the system.

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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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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

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Forecasting for Retail and CPG in 2020

Dataiku

While the backdrop of 2020’s global health crisis and economic uncertainty makes heading into the holiday season quite unlike years past, the U.S. is still slated to drive online sales growth. According to eMarketer , both Black Friday and Cyber Monday shopping days are positioned to surpass $10 billion in e-commerce sales, with their projected totals up 39% and 38% from last year, respectively.

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Cloudera’s Pivot to a Virtual Internship Program

Cloudera

Typically, running smooth and successful internship programs requires in-person interactions with high touchpoints. From onboarding and regular meetings to coffee chats and welcome events to meet the team – it takes a lot to integrate a new intern. They’re not only new to the organization but new to the workforce, after all. . Yet, with most tech companies going fully remote, Early Talent teams had to consider their options.

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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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Artificial Intelligence in Agriculture : Using Modern Day AI to Solve Traditional Farming Problems

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Understand what is Artificial Intelligence Lifecycle of agriculture Challenges faced in. The post Artificial Intelligence in Agriculture : Using Modern Day AI to Solve Traditional Farming Problems appeared first on Analytics Vidhya.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.