Sat.Jul 27, 2019 - Fri.Aug 02, 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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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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4 Data Goldmines Your Company Should Not Ignore

Smart Data Collective

In an earlier age, perhaps as little as a decade ago, businesses had to rely on intuition and educated guesses to guide their spending. The situation was famously captured by John Wanamaker, who said, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” Today, data is everywhere. Phones track our locations and our social media usage.

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Are Employees More Important To Your Business Than Customers?

Corinium

My key focus area is, and has always been, how the customer experience is founded upon the employee experience because I believe that focussing on your employees ultimately benefits your customers.

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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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7 Innovative Machine Learning GitHub Projects you Should Try Out in Python

Analytics Vidhya

Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python 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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OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python

Analytics Vidhya

Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly. The post OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python appeared first on Analytics Vidhya.

Analytics 302
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The 5 Sampling Algorithms every Data Scientist need to know

MLWhiz

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. This post is about some of the most common sampling techniques one can use while working with data. Simple Random Sampling Say you want to select a subset of a population in which each member of the subset has an equal probability of being chosen.

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7 Tips for Dealing With Small Data

KDnuggets

At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.

Modeling 118
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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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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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Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python

Analytics Vidhya

Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.

Analytics 307
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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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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 117
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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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Today’s Biggest Cyber Security Threat is Inside Your Business

Smart Data Collective

Computer breaches from Russian or Chinese hackers get the headlines, but the reality is you are more likely to be a victim from an insider. It turns out that as much as 60 percent of all attacks were carried out by insiders – either overtly or inadvertently. The High Cost of Breaches. If it’s your business that falls victim, the cost can be high. Your company’s reputation can be damaged.

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Forrester 2019 Enterprise BI Platform Waves ™ Research Update

Boris Evelson

Forrester has just published 2019 refresh of out Enterprise Business Intelligence (BI) Platforms Waves ™. As the BI market and the technology continue to evolve, so does our research. This year we emphasized New market segmentation by Vendor-Managed vs. Client-Managed platforms, which roughly equated to on-premise vs. cloud based platforms, but not quite.

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How to Set Up Snowflake Elevated Accounts

CDW Research Hub

When planning for a cloud data warehouse such as Snowflake, it is important to have a strategic plan in place to initialize the environment for development, testing and production. Using standard patterns for this initialization is a best practice. Sirius is publishing a four-part series to demonstrate best practices in reusable patterns for initializing Snowflake environments.

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Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

KDnuggets

This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

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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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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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3 business realities fueling the need for enterprise data preparation

IBM Big Data Hub

The pressure is rising for business users, automation, and governed data lakes to drive business value. Learn how enterprise data preparation fits in.

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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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Understanding Tensor Processing Units

KDnuggets

The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

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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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Big Data Meets Divorce: How Companies Take Advantage Of Life Changes

Smart Data Collective

Big data is everywhere. Each time you swipe a grocery store card, make a purchase online or buy from a big-box store, your shopping habits are being stored somewhere. What many consumers don’t realize is that companies are using this information to take advantage of their major life changes , including divorce. While divorce rates are down compared to 20 years ago, nearly 50% of all marriages will still end in a divorce in the U.S.

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Cloud Pak for Data on Red Hat OpenShift: The best of both worlds

IBM Big Data Hub

IBM’s integrated platform for Data & AI, which is 100% complimentary to Red Hat offerings. It runs on OpenShift today and has a hardware version called Cloud Pak for Data System. The beauty of Cloud Pak for Data is that it includes all of IBM’s strategic Data and AI services – including Watson – as one integrated offering. This allows customers to consume what they need in a cloud-native fashion on the infrastructure of their choice (on-prem, IBM Cloud, AWS, Azure and more) and build persona

IT 74
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Enterprise Data Strategy: The Upside of Scarce Funding

Teradata

In a cost-cutting culture, directly linking data projects to top business initiatives is a good way to keep them from getting clipped. Learn more.

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How a simple mix of object-oriented programming can sharpen your deep learning prototype

KDnuggets

By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

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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.

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Saint Lucia Investors Turn To Big Data For Massive ROIs

Smart Data Collective

Big data is being used by countless investors all over the world. You are going to need to understand the role that predictive analytics and other big data technology plays in investing. This is especially true with investing in emerging markets. Global Investors Use Big Data to Invest in Saint Lucia. Saint Lucia is a country located on the island of the same name.

ROI 77
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Driving the culture of AI forward with MongoDB

IBM Big Data Hub

“In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity,” according to Gartner. It will do so largely by learning how to make better predictions over time and supplementing people’s ability to complete tasks in more natural ways.

IT 61
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How To Reinvent Your FP&A Process

Jedox

There has been a lot of talk about changing FP&A processes yet little real action in this area. Budgeting? How many do zero-based budgeting or pure beyond budgeting? Most are stuck doing the traditional one-year budget and five-year plan. Analysis? Wishful thinking. Are you doing what-if scenarios or Monte Carlo simulations or simply just plotting your data in a time series into a graph and showing it to your stakeholders?

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A 2019 Guide to Object Detection

KDnuggets

Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.