Thu.May 07, 2020

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The Art of Storytelling in Analytics and Data Science | How to Create Data Stories?

Analytics Vidhya

Introduction The idea of storytelling is fascinating; to take an idea or an incident, and turn it into a story. It brings the idea. The post The Art of Storytelling in Analytics and Data Science | How to Create Data Stories? appeared first on Analytics Vidhya.

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Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

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The Difference Between Data Architecture and Enterprise Architecture

erwin

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty.

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Grafik Dinamis: Gerakkan Data Anda

FineReport

Bagaimana Cara Kerja Grafik Dinamis? Dibuat Dengan FineReport. Gambar diatas adalah dashboard yang dibuat dengan FineReport yang memiliki grafik dinamis. Dengan mengklik posisi pie chart yang bersangkutan, Anda dapat menampilkan data di suatu area yang spesifik. Mari bandingkan data yang dipresentasikan dengan Excel. Apakah Anda rasa tampilannya nampak membosankan dan mati?

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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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The Path to Integrated Planning

Jedox

To successfully move from outdated spreadsheet workflows to using integrated financial planning, there are important considerations on this path. In our new two part blog series, we will discuss how the Office of Finance can embark on the path to successful integrated planning. Ensure senior management support. The recognition that old structures in FP&A must be revamped is of course old news, yet many organizations are still struggling with doing the needed revamp.

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How to prioritize diversity, equity, and inclusion when hiring

Insight

Going beyond the talk to drive meaningful action toward a diverse, equitable, and inclusive workplace. I recently met with Felicia Jadczak , co-CEO and Head of DEI at She+ Geeks Out , to hear her perspective on DEI and hiring. Felicia first started working on diversity initiatives back in 2013, when she built an employee resource group (ERG) at VMware.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to May 3)

Andrew White

Click here for an interactive PDF to access the notes directly on gartner.com Download. Lydia Clougherty Jones scored her first “number 1” hit this year. Her new note, Data Ethics and COVID-19: Making the Right Decisions for Data Collection, Use and Sharing , was published two weeks ago but last week moved up to top spot: Our most read D&A research (excluding branded notes like Magic Quadrants) for the week.

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Machine Learning Engineers Won’t Be Replaced Anytime Soon

Dataiku

Last week, Luke Posey published an opinion piece called Machine Learning Engineers Will Not Exist In 10 Years. The punchline is that machine learning (ML) will transition to a commonplace part of every software engineer’s toolkit, and that eventually, software engineers will - essentially - do the work of today’s machine learning engineers. However, it’s hard to imagine a world where software and machine learning engineers merge, and I’ll unpack why in this blog post.

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Accelerating Innovation with Cloud Computing in the Media & Entertainment Industry

Nutanix

The COVID-19 pandemic continues to impact all aspects of our society and many industries were caught off guard and had to adjust rapidly to the fluid macro environment. Media and entertainment (M&E) industry is one of the many industries that is adjusting to this new reality.

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Accelerating Innovation with Cloud Computing in the Media & Entertainment Industry

Nutanix

The COVID-19 pandemic continues to impact all aspects of our society and many industries were caught off guard and had to adjust rapidly to the fluid macro environment. Media and entertainment (M&E) industry is one of the many industries that is adjusting to this new reality.

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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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Accelerating Innovation with Cloud Computing in the Media & Entertainment Industry

Nutanix

The COVID-19 pandemic continues to impact all aspects of our society and many industries were caught off guard and had to adjust rapidly to the fluid macro environment. Media and entertainment (M&E) industry is one of the many industries that is adjusting to this new reality.