Tue.Apr 30, 2019

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Be a Data Avenger not a Carpenter

Corinium

Ok guys , heres my first blog and I hope it’s a good start. Happy to get your feedback whether be it positive or constructive, however my objective here is to share my ideas and communicate with you regardless of where you are located. The topic is about the analytical and data story telling.

Analytics 150
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Why Operationalization is Hard (But It Doesn’t Have to Be)

Dataiku

Flashback to 2004, start year of Project Purple, which would later give birth to a piece of engineering that has shaped the world as we know today: the iPhone. In 2006, after $150 million invested in R&D, design, and product development, over 1,000 employees involved - and not the least important of them - day and night, the prototype of the iPhone was finally ready for mass production.

IT 65
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Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition)

Analytics Vidhya

Introduction Data science is an ever-evolving field. As data scientists, we need to have our finger on the pulse of the latest algorithms and. The post Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition) appeared first on Analytics Vidhya.

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Interview with Abigail Britton, Data Science Lead, Anheuser-Busch InBev

Corinium

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations. Gert Botes , Data Analytics Portfolio Director - MEA conducted a brief interview with Abigail Britton , Data Science Lead at Anheuser-Busch InBev , who will also be presenting at CDAO Africa (17 – 18 July 2019, Johannesburg). -.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Last Chance to Register on our Flagship Course – AI & ML BlackBelt

Analytics Vidhya

Introduction In the last 6 years – we have helped millions of users in learning data science, we helped hundreds of companies across the. The post Last Chance to Register on our Flagship Course – AI & ML BlackBelt appeared first on Analytics Vidhya.

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Data Scientists vs. Data Engineers

Corinium

Very often, there is a confusion on the difference between Data Scientists and Data Engineers. Most organizations use the terms interchangeably thus causing further confusion between the exact roles and responsibilities for each profile.

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Data Governance Roles and Responsibilities

TDAN

Roles and responsibilities are the backbone of a successful information or data governance program. To operate an efficient and effective program and hold people formally accountable for doing the “right” thing at the “right” time, it requires the definition and deployment of roles that are appropriate for the culture of the organization. To communicate effectively […].

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?Sisense BloX 2.0: Activate Your Dashboard

Sisense

What if I told you that every time you reach your sales goal “ fly me to the moon ” by Frank Sintra triggered from your Spotify app. Or, maybe that you can now launch a marketing campaign straight from your smartwatch based on your business insights? Your initial reaction might be to say “now, how cool is that?” but the right approach should say “now, how effective is that?”.

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Getting Started with Power BI Report Design level 101 – What Every New User Should Know

Paul Turley

Let’s step through a few very simple things that every Power BI new user needs to know. Power BI is a great tool and it’s fairly easy to get started but there are a few gotchas that everybody experiences.

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BI Implementation Insights: Building a BI Team for Success?

Sisense

It’s time for part two in my BI Implementation Insights series. This time, we’re focused on how to build the right team for your BI project. If you missed the first part in the series about how to find clear and easy starting points you can check it out here. Now, down to business. Effective BI project teams are formed deliberately and are constantly motivated by proper incentives.

ROI 75
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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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Jet vs. Data Entities in Dynamics 365 Finance & Operations

Jet Global

Built from the bones of Dynamics AX, the cloud-based Dynamics 365 Finance & Operations (D365FO) has introduced some new out-of-the-box reporting and analytical capabilities to customers. While some functionality mirrors how it was done in Dynamics AX, there have been changes to how you create SQL Server Reporting Services (SSRS) reports, ad-hoc reports, and custom reports in D365FO.

Finance 73
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Data Management 20/20: Connecting the Data

TDAN

Data collection is getting more dispersed and voluminous every day. Corporate entities are constantly merging or splitting, and new lines of business are created in order to meet changing business challenges. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

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DataRobot Promotes and Supports Machine Learning Education Around the World

DataRobot

Artificial intelligence (AI) has been helping businesses across industries and around the world manage and leverage years of data to solve various problems (e.g., banks sorting through loan applications and hospitals predicting patient readmissions). Businesses are either already adopting AI throughout their organizations or are curious to know more about it in order to stay competitive.

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Zen and the Art of Data Maintenance: STOP !!! The Crucial Step In Data

TDAN

It is a pleasure and an honor to begin this column on Zen and data in TDAN.com. I have given many presentations at data conferences on the subject of Zen and data, and I often hear the question, “What does Zen have to do with data?” My answer is this … Zen is a Japanese […].

IT 58
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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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Advanced DAX Training from Marco Russo in Portland: June 2019

Paul Turley

It’s very rare to have the opportunity to learn DAX from the world’s leading expert but we will have that opportunity in Portland on June 19-21! The one-and-only Marco Russo is coming to Portland to teach The Italians’ Mastering DAX course.

IT 44
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Dark Clouds on BI Horizon

TDAN

I shouldn’t go to BI tool demonstrations anymore. Don’t get me wrong. Advancements in the BI/analytics tool space are nothing short of remarkable. As a techno BI geek, I marvel at the sheer “what could be” in business intelligence and decision support arenas. However, the message that comes with the technology is what I believe to be a […].

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Supplier Risk Assessment: Now Empowered with Data Science

ScienceSoft

Data science with its deep learning algorithms allows for data-driven assessment of supplier risks. Is this approach good enough to undermine the position of a traditional one? Let’s explore how it works and what its advantages and limitations are.

Risk 40
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Barriers to Becoming an AI-Centric Company

TDAN

AI is a new buzzword in the corporate environment, and although 98% of companies are aiming to become data-driven, less than one third succeeded in 2018. There are multiple reasons behind this inability to adopt AI and data-driven approaches. For most organizations, there are significant obstacles to using AI daily, which have to do with […].

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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.

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BRIDGEi2i featured as ‘Innovators’ in the Procurement Analytics Market Research Report by Markets and Markets

bridgei2i

BANGALORE & FREMONT, April 30, 2019. BRIDGEi2i Analytics Solutions announced today that Markets and Markets has named the company in its research titled, “Procurement Analytics Market by Component, Application Area (Supply Chain Analytics, Risk Analytics, Spend Analytics, Demand Forecasting, and Contract Management), Deployment Type, Organization Size, Vertical, and Region – Global Forecast to 2023” and have recognized BRIDGEi2i as an Innovator in this space.

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DB Pros Need to Know Cloud Migration

TDAN

In 1961, Professor John McCarthy was the first to publicly suggest in a speech at the centennial celebration of the Massachusetts Institute of Technology that: “Computing may someday be organized as a public utility just as the telephone system is a public utility. Each subscriber needs to pay only for the capacity they use, but […].