Sat.Nov 02, 2019 - Fri.Nov 08, 2019

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How to Challenge Business Assumptions with Data

Corinium

The notion that businesses should be making data-driven decisions may seem obvious to a CDAO. But the fact is, people in other business functions don’t always see things that way.

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Zen and the Art of Data Maintenance: People Silos Cause Data Silos

TDAN

With the exponential growth of data from so many different sources, data silos (or in other words, separate unintegrated data stores) are more prevalent than ever. However, what is the root cause of data silos? People silos! The more that people view themselves as separated, the more that data is separated. But aren’t people and […].

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ISPs Use Holistic Big Data Strategy To Shed Customer Cynicism

Smart Data Collective

ISPs are using data analytics in a variety of ways. Many consumers may be concerned about this, because they are known to exploit customer data. However, they use data in a number of benevolent ways, which many people will be okay with. Pew Research has shown most customers are okay with companies collecting their data if it is used for holistic purposes.

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Get Started With Business Performance Dashboards – Examples & Templates

datapine

To succeed in today’s competitive business world, the ability to make the right decisions at the right time based on water-tight insights is essential. If you don’t have the vision or don’t know what to do with it, you’ll find yourself shooting in the dark – and that is detrimental to the growth and evolution of any business, regardless of size or sector.

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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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Metadata Management, Data Governance and Automation

erwin

Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. This research showed that the majority of responding organizations weren’t actually prepared for GDPR, nor did they have the understanding, executive support and budget for data governance – although they recognized the importance of it.

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An Eight-Step Checklist for An Analytics Project

KDnuggets

Follow these eight headings of an audit sheet that business analysts should address before submitting the results of their analytics project. One recommended approach is to rewrite each step as a question, answer it, and then attach it to your project.

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6 Exciting Open Source Data Science Projects you Should Start Working on Today

Analytics Vidhya

Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to. The post 6 Exciting Open Source Data Science Projects you Should Start Working on Today appeared first on Analytics Vidhya.

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The World Needs Bold Customer Experience Leaders

Corinium

Customer experiences are stagnating in the US.

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10 Free Must-read Books on AI

KDnuggets

Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.

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Data Science News from Microsoft Ignite 2019

Data Science 101

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Here they are in my order of importance (based upon my opinion). Azure Synapse. I think this announcement will have a very large and immediate impact. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake.

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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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Learn How to Perform Feature Extraction from Graphs using DeepWalk

Analytics Vidhya

Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from. The post Learn How to Perform Feature Extraction from Graphs using DeepWalk appeared first on Analytics Vidhya.

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What is RPA, and why is Microsoft Power Automate relevant? Human-centred AI makes the most of our human talents.

Jen Stirrup

If you’re reading this blog, you are probably wondering what Robotic Process Automation (RPA) is, and what it can do for businesses. Enterprises can automate mundane and tedious rules-based business processes in order to streamline operations and cut costs. Basically, it is a tool to help productivity. If you are filling out a form, for example, it could do all of the checks for you, such as going off to check someone’s driving licence or company registration number.

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How to Create a Vocabulary for NLP Tasks in Python

KDnuggets

This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.

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A Perfect Match: Blockchain and Gaming

BizAcuity

The gaming industry never stopped growing. Though initially, there were only a few who anticipated the potential it held, the inception of broadband internet changed things completely. From casino games to arcade games, the industry evolved into online gaming or digital gaming – a virtual jackpot that never seems to run out. Today, online gaming accounts for a major chunk of the industry, which was estimated to have generated $116bn in 2017 alone.

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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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4 Proven Tricks to Improve your Deep Learning Model’s Performance

Analytics Vidhya

Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya.

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What Type Of Data Storage Do Smart Cities Need?

Smart Data Collective

Smart cities are gaining popularity across the world thanks to the convenience and efficiency they bring to citizens, visitors, and government leadership. Smart city technology can use data to revolutionize what it means to live and work in a city. First, however, we need the right kind of storage solutions to make all these proposed features functional.

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Customer Segmentation Using K Means Clustering

KDnuggets

Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.

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How to Conduct Performance Load Testing for Analytics

Sisense

Blog. Every new product or software sounds great on paper. But what happens when the rubber meets the road? No matter how much preparation you’ve done ahead of time, unforeseen challenges always crop up when you roll out a new solution. That said, let’s talk about the steps you need to take before you have your team or the entire organization start using a new piece of software.

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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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Master Data Engineering with these 6 Sessions at DataHack Summit 2019

Analytics Vidhya

Data engineers are a rare breed. Without them, a machine learning project would crumble before it starts. Their knowledge and understanding of software and. The post Master Data Engineering with these 6 Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.

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The Vital Elements of a Big Data Branding Strategy

Smart Data Collective

Big data is playing a very important role in the future of branding. Last year, Samantha Bhargav wrote a great article on ways big data can help with branding strategies. There are a number of benefits, as Bhargav points out. One of the biggest is customer-centric marketing. Ways that Big Data Promotes Stronger Branding Practices. Whether you are a brand that has just started off or a brand that has become a dominant force over the years, the same core principles are going to determine whether y

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Designing Your Neural Networks

KDnuggets

Check out this step-by-step walk through of some of the more confusing aspects of neural nets to guide you to making smart decisions about your neural network architecture.

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Embed Fully-Integrated Analytic Apps Fast with Embed SDK

Sisense

Blog. Imagine this scenario: you are trying to improve the stickiness and adoption of your application by delivering additional value with embedded analytics. You also want to provide a seamless experience for your end-user with context-driven analytics so that they can make decisions without leaving your application. As an example, let’s say you have an app that lets clients run and analyze marketing campaigns.

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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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One Data Governance for All

TDAN

There is … but one … Data Governance. I know that some people will disagree with me. Maybe you are one of those that believe that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, […].

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The Only Recipe For A Data Story You'll Ever Need

Juice Analytics

That’s our lead designer, James (out on the town in Nashville with one of our talented developers, Jingwei). James knows data stories. He appreciates that a data story needs to have beautiful, intuitive visualizations and people-first descriptions. But before James worries about all that, he starts by finding the structure of a story. The structure is the narrative flow that will grab a reader’s attention and carry them through the analytics to find valuable, actionable insights.

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Set Operations Applied to Pandas DataFrames

KDnuggets

In this tutorial, we show how to apply mathematical set operations (union, intersection, and difference) to Pandas DataFrames with the goal of easing the task of comparing the rows of two datasets.

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How to Choose Between Cloud-Based and On-premise Solutions

BizAcuity

Today, businesses run on huge amounts of data. Data is the backbone of most business decisions and hence data storage and management is a huge question. Businesses today have many choices when it comes to data storage. The obvious choice is to rely on traditional, time-tested legacy and on premise applications and software to do business. The other emerging option is to use the cloud to host your data as against just keeping everything within your own network.

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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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Use Big Data to Make Decisions at Meetings

TDAN

Not looking forward to your next meeting? We don’t blame you. Meetings can be hard to sit through, not to speak of being productive. Making an important decision everyone can agree on is not easy. Intuition has a lot to do with making decisions. There never seem to be enough resources, with time being the […].

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Understanding your CFO/CEO’s Investment Strategy

Andrew White

If you are a chief data officer (CDO, or equivalent) or CIO, you know full well that budgeting is a fraught time: strategies are updated, value propositions explored, and investments prioritized. You know the drill: some of your expectations will be met, many may not. And all of this may rest on the ability you have to sell the business case (or story, as we now say).

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Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch

KDnuggets

The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.

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Adding Interpretability to Multiclass Text Classification models

MLWhiz

Explain Like I am 5. It is the basic tenets of learning for me where I try to distill any concept in a more palatable form. As Feynman said: I couldn’t do it. I couldn’t reduce it to the freshman level. That means we don’t really understand it. So, when I saw the ELI5 library that aims to interpret machine learning models, I just had to try it out.

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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.