Wed.Feb 17, 2021

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Inclusive vs. Exclusive AI Engineering

Dataiku

When it comes to the history of data teams and data-specific roles, we’re still very much in the wild west — that is, brand new territories where everything is kind of rough around the edges and (mostly) lawless. Sure, some best practices have come into focus in recent years, but for the most part, there isn’t one proven right way to do things; the fact that data professionals’ job titles (and the roles themselves) vary widely is further evidence of this.

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Multicollinearity: Problem, Detection and Solution

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. What is Multicollinearity? One of the key assumptions for a regression-based. The post Multicollinearity: Problem, Detection and Solution appeared first on Analytics Vidhya.

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2021: The Year Real Time Gets Real

DataKitchen

The post 2021: The Year Real Time Gets Real first appeared on DataKitchen.

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Dialogue Summarization: A Deep Learning Approach

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Dialogue Summarization: Its types and methodology Image cc: Aseem Srivastava. The post Dialogue Summarization: A Deep Learning Approach appeared first on Analytics Vidhya.

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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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Project Management Report: Structure, Examples & Free Templates

FineReport

What is Project Management Report? A project management report is a high-level overview of the current status of a project. In another word, it is a formal and regular record of a project state at a given time. Why is project management report critical? To be more explicit about the importance of project management reports, let’s see what they can bring to companies: Monitor what’s working to encourage the explanation and focus Uncover what’s not working to facilitate reflectio

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Data Scientists: Level Up Your Projects With These Statistics Concepts

Dataiku

According to LinkedIn’s Emerging Jobs on the Rise report for 2021 , data scientist roles are still growing steadily, showing an average annual growth of 35%. As they occupy one of the most multifaceted (and in demand) roles in the data science, machine learning, and AI space, there are some clear skills that most data scientists possess — a general understanding of the industries and businesses they are working across (i.e., key challenges, top use cases), strong communication skills in order to

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DAMA International Community Corner: 2020 Reflections and 2021 Resolutions

TDAN

Announcements and News DAMA International and Local Chapter members! Welcome to the DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices. Each column provides an update on the professional organization DAMA International, and an opportunity to […].

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

Needless to say, 2020 was an unforgettable year in a lot of ways and we were all happy to say goodbye to it. The pandemic has ushered in new ways of how we conduct businesses, remote work cultures, telehealth, grocery/food deliveries, etc. While certain industries were hard-hit by this change, most of the businesses were able to adapt, pivot, and take on this adversity in their stride.

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Data Management 20/20: The Unacceptable Cost of Bad Data – Part 1

TDAN

“…quite simply, the better and more accessible the data is, the better the decisions you will make.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT Business […].

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Build a Virtual Data Mart with the Denodo Platform in Just 10 Minutes

Data Virtualization

With data ever increasing in volume, variety, and velocity, the pressure is on to be able to access data in real time, to serve increasingly demanding analytics. We need to be able to develop insights from data, and act on. The post Build a Virtual Data Mart with the Denodo Platform in Just 10 Minutes appeared first on Data Virtualization blog.

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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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Predictions from 2020; for 2021

TDAN

2020 was the kind of year that would make anyone in the predictions business more than a little gun shy. I certainly didn’t have “global pandemic” on my 2020 bingo card. And, even if I somehow did, I would never have coupled that with a “booming stock market” and median SaaS price/revenue multiples in the […].

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Interview: How AI and Data Analytics Are Driving a More Tech-savvy Military

DataRobot

As host of the DataRobot More Intelligent Tomorrow podcast , I’m constantly impressed and delighted by the fascinating people that I have a chance to talk to. Recently, I had a long conversation with Ashley Russell, who has the stately title of Strategic Performance Management Coordinator for the U.S. Army, where she reports to the Undersecretary of the Army on mission-critical data analytics.

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Build a Virtual Data Mart with the Denodo Platform in Just 10 Minutes

Data Virtualization

With data ever increasing in volume, variety, and velocity, the pressure is on to be able to access data in real time, to serve increasingly demanding analytics. We need to be able to develop insights from data, and act on.

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Successful IoT business: just a question of standards?

CONTACT Software

There are days the little things in life make me happy. When my microwave broke last week and even a repair couldn’t save it, it took me less than five minutes to solve the problem: simply selected a new model on the manufacturer’s site using my smartphone, ordered it and paid via PayPal. Three days … Continue reading "Successful IoT business: just a question of standards?".

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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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Cloud Flexibility: Examining Three Cloud Hosting Options

Sisense

Blog. With more people becoming digital citizens, the ability for an application to explode in popularity has all but rendered obsolete the traditional IT hosting mindset of discrete servers performing discrete tasks. Instead, organizations are looking to gain greater flexibility in cloud computing. The primary issue with traditional hosting methods is procuring and provisioning all the gear for the expected usage — if adoption were to suddenly climb, it would be difficult to bring online the ne

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Top 2 Reasons to Say Yes to Hyperconvergence

CDW Research Hub

A typical data center has multiple generations of servers, operating systems, hypervisors, and storage devices—often from multiple vendors and designed around the concept of predefined, discrete workloads designed for specific tasks. But how can an enterprise accurately predict where (and how much) IT capacity is going to be needed at any given time?