Wed.Jul 31, 2019

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A Data Science Leader’s Guide to Managing Stakeholders

Analytics Vidhya

Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is. The post A Data Science Leader’s Guide to Managing Stakeholders appeared first on Analytics Vidhya.

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Master Salesforce Reports With Modern Reporting Tools – Examples And Templates

datapine

In a data-driven age, modern organizations need access to advanced data analytics solutions to help them improve the business in a wealth of key areas—Salesforce is one of those solutions. One of the world’s most popular cloud-based customer relationship management (CRM) platforms, the software is designed to help companies across sectors plan and optimize their sales processes.

Reporting 160
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Driving value and insight driven decision-making

Corinium

Tell us a bit about your background and how you ended up in your current role. I have always worked in software, but as technology moved on I spent more and more time in customer facing roles. I have been lucky to have experience of business operations across many countries and different styles of business which gives me a good understanding and perspective of what our customers are trying to achieve and the way in which we interact with them.

Software 150
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Ten more random useful things in R you may not know about

KDnuggets

I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely unaware of, and would find useful if they knew about them.

IT 119
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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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The Biggest Challenges Faced In CX

Corinium

Tell us a bit about your background and how you ended up in your current role. I have over 15 years’ marketing experience within FMCG, Tourism and Financial Services. I’ve worked as a marketing generalist, but my real passion is for data-driven marketing; using data insights focusing on acquisition, nurture, loyalty building & churn reduction. Most of my career has been within the financial services industry.

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New Online Data Summit Coming Fall 2019

Data Science 101

A new online conference focused on cloud data technologies is coming this fall. It is not just a conference or webinar, it will be an interactive online platform. The focus of the event is data in the cloud (migrating, storing and machine learning). You can pre-register for the conference now. Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization.

IoT 95

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Why Data Analysis Is the Key to Link Building Success

Smart Data Collective

Link building is one of the best online marketing strategies in use today, thanks to its synergy with other marketing strategies and its incredibly high return on investment (ROI). Link building basics are easy to grasp, even if you’re completely new to the strategy, but if you want to succeed long-term, you’ll need something more: the ability to measure and analyze data related to your campaign.

ROI 79
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Leveling Up to Custom Actionable Analytic Apps with Sisense BloX

Sisense

Blog. As a Lead Analytics Developer working on Luzern’s Platform, I spend a good amount of time building and turning KPIs into meaningful visualizations that our clients use to connect and drive marketplace sales on Amazon. At Luzern, we leverage Sisense to provide white-labeled, embedded analytics to our clients on the data unified in Luzern’s platform.

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Five Command Line Tools for Data Science

KDnuggets

You can do more data science than you think from the terminal.

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Cloud Pak for Data System drives positive out-of-the-box AI experience

IBM Big Data Hub

Today, IBM announced bold new moves that transform our software portfolio to be cloud-native and delivered as pre-integrated solutions called IBM Cloud Paks.

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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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Top KDnuggets tweets, Jul 24-30: Nothing but NumPy: Understanding and Creating Neural Nets w. Computational Graphs from Scratch; How Netflix works

KDnuggets

How Netflix works: the (hugely simplified) complex stuff that happens every time; Top Certificates and Certifications in Analytics, Data Science, ML; Nothing but NumPy: Understanding &Creating Neural Networks with Computation.

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Conversational AI: Design & Build a Contextual Assistant – Part 1

CDW Research Hub

T hough Conversational AI has been around since the 1960s, it’s experiencing a renewed focus in recent years. While we’re still in the early days of the design and development of intelligent conversational AI, Google quite rightly announced that we were moving from a mobile-first to an AI- first world, where we expect technology to be naturally conversational, thoughtfully contextual, and evolutionarily competent.

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KDnuggetsâ„¢ News 19:n28, Jul 31: Top 13 Skills To Become a Rockstar Data Scientist; Best Podcasts on AI, Analytics, Data Science

KDnuggets

Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field.

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SAP Customers Tour Around The World

Timo Elliott

I recently presented a web seminar with lots of great examples of how organizations are using the latest and greatest SAP technologies to transform the way they do business… The presentation includes real-world examples of organizations using SAP Leonardo technologies, including internet of things, new business models, mobile experiences, analytics & predictive, and blockchain.

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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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Are We Ready to Partner With Machines? Data Science Salon Miami, September 10-11

KDnuggets

When it comes to AI, there’s plenty of talk of the future of machines. But it’s the people behind AI development who have the insights needed to shape that future. Register now to catch all of our speakers at the Data Science Salon Miami, Sep 10-11, 2019.

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Income statement with absolute and relative variance

3AG Systems

Income Statement with Absolute and Relative Variance takes income statement data and automatically calculates both the absolute variance and relative (%) variance in comparison to previous year data. The chart takes your income statement data and plot the both variances next to each of its components. The visualization is influenced by the International Business Communication Standards (IBCS) where colours red and green are used to flag the bad and good indicators respectively.

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Data Virtualization: Thinking Outside the Bowl

Data Virtualization

Across all vertical markets, organizations adopt data virtualization as a core part of their IT infrastructure because data is becoming more distributed, more heterogeneous, and larger in volume.

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IT Under Pressure

Nutanix

Outages, 6-year-old hardware, week-long migrations, vendors breathing down your neck. When your datacenter is going haywire, what do you do to alleviate that pressure?

IT 20
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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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Shifting towards a more customer focused culture

Corinium

What is the biggest challenge you face within your role today and how are you looking to tackle it? I think a challenge faced by many more traditional organisations (including our own) is how to put a financial value on Customer Experience. Traditionally business cases are built on the financial value that can be derived from an initiative with specific expectations around pay-back time frames.

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How Do I Prove the Value of Self-Serve Augmented Data Discovery?

Smarten

How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation. Without measurable results, it will be difficult to garner and sustain support for business transformation and for creating an environment where Citizen Data Scientists can thrive.