Sat.Sep 28, 2019 - Fri.Oct 04, 2019

article thumbnail

Data-Driven Digital Marketing Carves Competitive Edge For SMEs

Smart Data Collective

Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. One of the ways that businesses can gain an edge is with digital marketing strategies that hinge on big data.

article thumbnail

A Picture Paints a Thousand Numbers

Peter James Thomas

Introduction. The recent update of The Data & Analytics Dictionary featured an entry on Charts. Entries in The Dictionary are intended to be relatively brief [1] and also the layout does not allow for many illustrations. Given this, I have used The Dictionary entries as a basis for this slightly expanded article on the subject of chart types. A Chart is a way to organise and Visualise Data with the general objective of making it easier to understand and – in particular – to disc

Sales 61
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Creating Ecosystems That Support Data Culture

Corinium

The benefits of becoming a data-driven organization are clear. Enterprises that succeed in creating data environments where innovation can flourish tend to have happier customers and generate more revenue as a result.

article thumbnail

Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python

Analytics Vidhya

Overview Seaborn is a popular data visualization library for Python Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data. The post Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python appeared first on Analytics Vidhya.

article thumbnail

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.

article thumbnail

Choosing the Right Clustering Algorithm for your Dataset

KDnuggets

Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.

119
119
article thumbnail

Data Science Cheat Sheet for Business Leaders

DataCamp

This cheat sheet guides you through the basics of how data science can help your business, including building your data science team and the common steps in the data science workflow.

More Trending

article thumbnail

Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub

Analytics Vidhya

Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

article thumbnail

Data Preparation for Machine learning 101: Why it’s important and how to do it

KDnuggets

As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.

article thumbnail

Coursera Course for AWS Machine Learning

Data Science 101

Amazon and Coursera have teamed up to create Getting Started with AWS Machine Learning. Topics covered are: Machine Learning. Computer Vision. NLP. Amazon Sagemaker. Happy Learning!

article thumbnail

Quantifying the business impact of customer service

Corinium

C. ustomers demand more instantaneous, personalized attention, and companies are leveraging new technologies that go beyond traditional voice and email customer service channels to meet those demands. But just how meaningful are these experiences on consumer buying behavior? How long does the effect last? Do new technologies and recent cultural. shifts significantly change the way experiences are evaluated?

Reporting 150
article thumbnail

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.

article thumbnail

Build an Image Classification Model using Convolutional Neural Networks in PyTorch

Analytics Vidhya

Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya.

Modeling 299
article thumbnail

A European Approach to Master’s Degrees in Data Science

KDnuggets

Data science education in Europe has been reevaluated and new recommendations are leading the way to the next generation of data science Master's courses to better support and train students.

article thumbnail

Why You should Attend SQLSaturday – An Interview with John Byrnes

Data Science 101

A few weeks ago, I attended my first SQLSaturday event. I brought along my camera and was lucky enough to record a couple interviews. This is one of those interviews. I sat down with John Byrnes and we discussed: Where has SQL taken his career? What does the SQLSaturday community mean to him? Why should someone attend a SQLSaturday event? SQLSaturday Interview with John Byrnes.

article thumbnail

The importance of trust to IAM professionals (UOM)

Corinium

What are you going to present at Verify 2019? I am looking at the affect we have when we can identify everybody. Does that makes people safer or less safe, particularly vulnerable people? This is a little bit of an unusual topic for an identity conference, but it is an important question that I think will be very interesting.

IT 150
article thumbnail

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.

article thumbnail

How Data-Driven Marketing Helps Improve Conversion Rates

Smart Data Collective

According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. That clearly indicates the importance that marketers give to data and why you should too. After all, data-driven marketing can help you achieve numerous benefits for your business, ultimately leading to an increase in conversions.

article thumbnail

How AI will transform healthcare (and can it fix the US healthcare system?)

KDnuggets

This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

IT 101
article thumbnail

The Difference Between Open Data and Public Data

TDAN

Is there a difference between open data and public data? Yes. And it’s a big one. There is a general consensus that when we talk about open data, we are referring to any piece of data or content that is free to access, use, reuse, and redistribute. Due to the way most governments have rolled out […].

article thumbnail

Faster ROI for AI: Watson Studio Premium for IBM Cloud Pak for Data

IBM Big Data Hub

IBM Watson Studio Premium for Cloud Pak for Data includes IBM Decision Optimization, SPSS Modeler and more. Read why you need this for your data. .

ROI 91
article thumbnail

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.

article thumbnail

Artificial Intelligence and Big Data in Higher Education: Promising or Perilous?

Smart Data Collective

What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive to humans.

article thumbnail

The Last SQL Guide for Data Analysis You’ll Ever Need

KDnuggets

This is it: the last SQL guide for data analysis you'll ever need! OK, maybe it’s actually the first. But it’ll give you a solid head start.

IT 113
article thumbnail

The Real Difference Between Reporting and Business Intelligence

Sisense

Blog. Different Business Needs Changes Convergence What to Do Now. Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. To understand how they compare, it’s best to start with the separate business and end-user needs that each of these two functions is meant to satisfy.

article thumbnail

The rise of decision intelligence: AI that optimizes decision-making

IBM Big Data Hub

Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify complex decisions around how scarce resources should be allocated, how to schedule tasks, and how to deal with constraints.

article thumbnail

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.

article thumbnail

Data, Energy, And The Smart City: A Conflicting Relationship

Smart Data Collective

Smart cities are the future of our urban centers, and even of suburbs and small towns – and this transformation is critical. Equipped with sensors and constantly collecting data, this tech revolution aims to make crowded cities more efficient, keep residents safer, and even help protect our environment through resource management. Making this shift, however, will require big investments on the part of both government bodies and businesses.

article thumbnail

DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks

KDnuggets

Three new releases that will help researchers streamline the implementation of reinforcement learning programs.

119
119
article thumbnail

How to train your own YOLOv3 detector from scratch

Insight

This comprehensive and easy three-step tutorial lets you train your own custom image detector using YOLOv3. The only requirement is basic familiarity with Python. Our input data set are images of cats (without annotations). As an example, we learn how to detect faces of cats in cat pictures. Given the omnipresence of cat pictures on the internet, this is clearly a long-awaited and extremely important feature!

Testing 69
article thumbnail

Data science: Breaking down the silos

IBM Big Data Hub

Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs.

article thumbnail

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.

article thumbnail

Data Savvy Hackers Enhance Password Vulnerability In 2019

Smart Data Collective

Big data is making a number of cybersecurity risks worse than ever. A growing number of companies are starting to explore the need to utilize big data to enhance their digital security. They are also starting to recognize that hackers are using big data as well, so they need to monitor them carefully. One of the biggest areas that they need to address is password security.

article thumbnail

Training a Machine Learning Engineer

KDnuggets

There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of implemented algorithms work for their problem in hand. Below, I've listed out some of the steps that one should adopt while solving a machine learning problem.

article thumbnail

You Need a Better Data Management Solution

TDAN

Become a “Data-First” Company The organizations that invest in data first and foremost are changing the business landscape. Apple had famously reached a trillion dollar valuation on August 2, 2018, and analysts predicted that Amazon wasn’t far behind. The race to a trillion mimics the 4 minute mile; as soon as one person breaks it, […].

article thumbnail

Understanding Causal Inference

Domino Data Lab

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. A complementary Domino project is available. . Introduction. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

article thumbnail

Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the