Mon.Jun 10, 2019

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Qlik's shift to SaaS at Qonnections 2019

David Menninger's Analyst Perspectives

Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.

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How To Use Data Analytics To Launch A Sustainable Technology Business

Smart Data Collective

Sustainability is a major concern for many businesses. You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. People that know me are aware that I have a blog on sustainability, as well as Smart Data Collective.

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Getting Your First Job in Data Science

Data Science 101

Getting your first data science job might be challenging, but it’s possible to achieve this goal with the right resources. Before jumping into a data science career , there are a few questions you should be able to answer: How do you break into the profession? What skills do you need to become a data scientist? Where are the best data science jobs? First, it’s important to understand what data science is.

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Top Programming Languages For Data Developers In 2019

Smart Data Collective

If you are a data developer, then you need to invest in learning the right programming languages. There are a ton of languages on the market, but some are more reliable than others. You will have a lot more job security if you invest in the right field. There has been much debate with regards to which is the most suitable programming language a developer should use.

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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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Meet the women shaping the future of AI

IBM Big Data Hub

Read why IBM has just launched the inaugural IBM Women Leaders of AI , and why we’re honoring women pioneering AI in their businesses in diverse industries from across the globe.

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New Word Integration Walkthrough – Webinar July 11th, 2019

Jet Global

If you haven’t already upgraded to the latest version of Jet, here is a great reason to do so! Version 20.0 ( released April 30th 2019 ) includes a new Word integration feature that makes including your data, charts, and graphs from Jet Reports into a Word document a snap! Join us for a full tour of the new Word Integration feature while we walk you through real-world examples for why and how to use it!

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Log Analytics Practices That DevOps Experts Must Embrace In 2019

Smart Data Collective

DevOps is a growing field. It is growing more rapidly as new log analytics solutions are being put into place. Developers need to understand the role of distributed systems and how they further the evolution of DevOps. Distributed systems have come a long way in the last decade. As a result, log data management has become a lot more complex. Systems today can have thousands of servers and each server could be generating log data of its own.

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BI vendor landscape is going through significant changes – what can you do to protect your investments?

Boris Evelson

The Business Intelligence (BI) market is going through a round of significant consolidation. Earlier this month Sisense acquired Periscope Data, last week Google announced its intention to acquired Looker, and today Salesforce announced the intention to acquired Tableau Software. A smaller company, LogiAnalytics has also been on an acquisition spree, acquiring Zoomdata today and Jinfonet […].

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Your Guide To Using Big Data For Microsoft Dynamics Projects

Smart Data Collective

Big data has been seamlessly integrated into numerous Microsoft applications over the years. One of the newest applications to take advantage of big data features is Microsoft Dynamics. Microsoft has provided a detailed overview of the way that it uses big data in this application. Anybody using Microsoft Dynamics should embrace the features big data has made available.

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Overfitting: What to Do When Your Model Is Synced Too Closely to Your Training Data

DataRobot

The main objective for many data scientists is to build machine learning models that predict the outcomes on unseen data that weren’t used in the development process. The performance of a model on unseen data is referred to as its ability to generalize and is ultimately how it will be judged. If generalization does not meet expectations, the result will be poor outcomes and possibly a reduction of stakeholder confidence in machine learning.

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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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Is Big Data An Essential Skillset For Future Financial Professionals?

Smart Data Collective

I was recently at a networking group. One of the attendees was a tax accountant, who said that big data is changing their field in surprising ways. FM Magazine has talked about this trend in detail. Financial professionals need to understand the impact of big data and prepare accordingly. How is Big Data Going to Influence the Financial Industry. FM Magazine breaks down some of the ways that data is changing the profession.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to June 2)

Andrew White

Click here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc.

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Know it first: The race for AI advantage from within the data tornado of financial services

IBM Big Data Hub

Learn why finserv firm Capitalogix is climbing the ladder to AI to transform the financial services industry.

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Sharing.heart at.NEXT—in exciting new ways

Nutanix

This year at.NEXT, we saw people giving back to local communities and the world through the organizations featured at.NEXT through our.heart CSR program.

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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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No one knows where America’s helipads are, except this neural network

Insight

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Better late than never, the reality of on-demand air mobility is rapidly approaching US markets. In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130.