Sat.Jul 06, 2019 - Fri.Jul 12, 2019

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Responsible Citizen Data Science. Yes, it is Possible.

DataRobot Blog

by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.

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14 Dashboard Design Principles & Best Practices To Enhance Your Data Analysis

datapine

The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. In the digital age, there’s little need for a department of IT technicians, plus a qualified graphic designer, to create a dazzling data dashboard.

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21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!)

Analytics Vidhya

Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to. The post 21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!) appeared first on Analytics Vidhya.

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Strategy, Leadership, Culture & Innovation: Interview with Cary Correia, GE USA: Part 1

Corinium

Drawing on over 30 years of experience, we caught up with our international keynote, Cary Correia, Chief Commercial Data Scientist, GE USA to share some golden nuggets on how to truly achieve a data-driven culture and become an intelligent enterprise. See how Cary’s teams worked towards a data driven culture, the use of proactive and reactive analytics, and facilitating the most significant steps to move from strategy to execution.

Strategy 231
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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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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Career Relevance. Definitions of terminology frequently seen and used in discussions of emerging digital technologies. (NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data).

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. News broke earlier this week of British Airways being fined 183 million pounds – or $228 million – by the U.K. for alleged violations of the European Union’s General Data Protection Regulation (GDPR).

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A Practitioner’s Guide to Deep Learning with Ludwig

Domino Data Lab

Joshua Poduska provides a distilled overview of Ludwig including when to use Ludwig’s command-line syntax and when to use its Python API. Introduction. New tools are constantly being added to the deep learning ecosystem. It can be fun and informative to look for trends in the type of tools being created. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow d

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How To Use Big Data To Deliver Optimized Customer Experiences

Smart Data Collective

Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important. Companies have been able to perform more in-depth customer analysis—above and beyond social media commentary and feedback surveys—with the development and proliferation of analytics.

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Our Commitment to Open Source Software

Cloudera

Open source has been core to the missions of both Hortonworks and Cloudera and central to our values and culture. With more than 700 engineers in the new Cloudera, our company writes a prodigious amount of open source code each year that’s contributed to more than 30 different open source projects. We’re also a very innovative open source company, having collectively launched more than a dozen new open source projects since the founding of the two companies. .

Software 107
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How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application

Analytics Vidhya

Overview How can you build an effective and powerful data science resume that will win over recruiters? Here are 4 key aspects you should. The post How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application appeared first on Analytics Vidhya.

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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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Business Architecture and Process Modeling for Digital Transformation

erwin

At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. This post outlines how business architecture and process modeling come together to facilitate efficient and successful digital transformation efforts.

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AI Ethics: Building Trust by Following Ethical Practices

DataRobot

As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, it seems like everyone wants to get in on the action. And who can blame them? AI promises improved accuracy, speed, scalability, personalization, consistency, and clarity in every area of business. With all those benefits, why are some businesses hesitating to move forward?

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Technology Is Transforming the Real Estate Market

Smart Data Collective

Do you remember what it was like trying to buy a house before the days of online listings? If you were born after about 1980, you probably never experienced that. The internet has catapulted the real estate industry into a world where people can buy houses site-unseen and sign the paperwork without ever meeting in person. And it’s only just beginning. 2019 has hailed in an incredible era of mobile-centric technology, automation, smart tools, and other electronic marvels that make real estate tra

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8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More!

Analytics Vidhya

Overview Using data science algorithms to generate art and music? These 8 AI projects will blow your mind Tap into your creative and artistic. The post 8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More! appeared first on Analytics Vidhya.

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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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The Power of Integrated Data and Analytics

Teradata

Integrated data and analytics has a proven track record of helping organize operations, enhance customer experience and improve revenue and market growth.

Analytics 104
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Course Launch – Intro to Azure ML Studio with Regression

Data Science 101

Online courses are a great way to share knowledge with others; that is why I have decided to launch a few courses. The first course is Intro to Azure ML Studio – Regression. This is a smaller course and should take about 2 hours to complete. Azure ML Studio is a drag-and-drop interface for doing machine learning. Topics are all based upon Azure ML Studio, and they include: Linear Regression Linear Correlation Feature Selection Splitting Data Evaluating a model.

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Top 3 Tips for a Successful Hackathon

Dataiku

The day prior to our EGG LDN 2019 conference , we’ve opened the doors of our UK office for a hackathon, providing participants with the opportunity to learn new skills, improve their knowledge of Dataiku, and work together on positive-impact projects.

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How AI picks the most exciting moments at Wimbledon without bias

IBM Big Data Hub

Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Wimbledon is one of the most prestigious major events in the world. With over 675 matches played and over 147,000 tennis points played, its size and scale are substantial. In fact, even if fans diligently watch their favorite players, they will miss a high proportion of the played points.

IT 93
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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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Enterprise BI Platforms Are Low-Code App Dev’s Best Kept Secret

Boris Evelson

I recently had a privilege (not to mention a lot of fun) to participate in a brainstorming session with a large enterprise software vendor and my esteemed colleagues John Rymer, Rob Koplowitz, and Jeffrey Hammond on the topic of low-code app dev. It’s not a well-known fact (but Forrester has been publicizing it for a […].

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The Evolving Role Of Big Data In Accident Cost Containment

Smart Data Collective

Companies around the world are looking for ways to minimize the costs of accidents. Many regulators have found that the number of accidents in various industries is grossly unacceptable and have started imposing new penalties. The good news is that new advances in big data have made it easier for them to look for ways to prevent these horrific problems.

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Medicare Fraud Detection Tutorial

Dataiku

Insurance fraud is a major issue that drives up healthcare costs for insurers, providers, taxpayers, and patients. The risk of unnecessary or nonexistent medical services due to misrepresentations by patients or providers is a costly one; in the U.S. the National Healthcare Anti-Fraud Association estimates that payers spend up to $68 billion a year due to fraud.

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How AI picks the highlights from Wimbledon fairly and fast

IBM Big Data Hub

Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis during the Wimbledon Championships fortnight occurs on 18 courts with over 147,000 points contested. In many cases, fans watch one match at a time and catch up on the rest of the tournament by viewing preselected highlights that are generally about popular players.

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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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Go2Latam Becomes First Distributor of insightsoftware Jet Global Solutions in Latin America Bringing Increased Business Analytics and ERP Mobility to the Region

Jet Global

PORTLAND, OR – Jet Global, an insightsoftware company, announces the signing of a distribution deal with Go2Latam, which helps to bring business intelligence, reporting, and budgeting solutions to Microsoft Dynamics ERP users in Latin America. As a Microsoft Gold Partner and the preferred Microsoft ISV for Dynamics 365 Business Central in Latin America, Go2Latam is highly focused on helping their partners and customers make the transition from Microsoft Dynamics NAV or Dynamics GP to Business Ce

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The Dual Utilization of Big Data In SEO And UX

Smart Data Collective

Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach. A growing number of web-based companies are using big data to interact more with their users.

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Detecting Medicare Fraud

Dataiku

We already studied Medicare data using Dataiku in this video. This time, instead of looking at the impact of payments on the physician prescriptions, we will have a look at the possibility of detecting Medicare fraud.

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How AI picks the highlights from Wimbledon fairly and fast

IBM Big Data Hub

Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis during the Wimbledon Championships fortnight occurs on 18 courts with over 147,000 points contested. In many cases, fans watch one match at a time and catch up on the rest of the tournament by viewing preselected highlights that are generally about popular players.

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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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How Sisense Engineered Its Cloud-Native Linux Deployment From the Ground Up

Sisense

Blog. A couple of weeks ago, we officially launched the Cloud-Native Sisense on Linux deployment after a successful beta release cycle that kick-started in Spring 2019. As of 2017, Linux was running 90% of the public cloud workload. It is increasingly the OS of choice by enterprises and the cloud due to its many advantages: lower TCO, higher security, improved stability and reliability, flexibility, and more.

IT 69
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Grasping The Cutting Edge Technology Behind Data Recovery Tools

Smart Data Collective

Data loss is a common problem that many people face. The average data loss in incident at the corporate level costs $5.4 million. These costs might be lower for smaller businesses, but the consequences can be even higher, considering that they have more limited budgets. The good news is that big data technology has made data recovery more effective.

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Tips to Improving Report Performance – Webinar August 8, 2019

Jet Global

One of the most common questions asked during Jet training and support calls is, “how can I be sure that my reports are running at optimal speed?” While there isn’t a “one size fits all” approach to maximizing report performance, there are some great tips and essential rules to follow when building a report that will improve how fast it can run.

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Wimbledon surfaces data insights for fan engagement

IBM Big Data Hub

The All England Lawn Tennis Club (AELTC) loves their data. During The Championships, Wimbledon , last year alone, IBM collected 4.5 million tennis data points covering every point in every match. In fact, the All England Club has data going all the way back to when The Championships started in 1877.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.