datapine

AUGUST 28, 2019

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field.

KPI 193

KPI Visualization Dashboards Cost-Benefit 193

Smart Data Collective

AUGUST 27, 2019

Are you startled by the rise of cyberattacks globally ? Well, your business is not immune to these attacks, and you should never be complacent with your existing security measures. There is a need to employ professionals to handle the security aspect of your business. Some of the people that will give high-level ideas on your security systems include data scientists, ethical hackers, and IT professionals.

Data Science 82

Data Science Measurement Machine Learning Risk 82

Analytics Vidhya

AUGUST 27, 2019

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

Analytics 307

Analytics Deep Learning 307

Corinium

AUGUST 30, 2019

Tell us about your experience in working with the data analytics community at Vertica? Why do y ou like working in this space?

Marketing 199

Marketing Data Analytics Analytics 199

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.

Strategy

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 123

Machine Learning Data Science 123

Paul Turley

AUGUST 24, 2019

The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects. Again, this guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects.

Measurement 101

Measurement Optimization Reporting Management 101

DataRobot Blog

AUGUST 27, 2019

by Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.

Marketing 96

Marketing Digital Transformation Data Integration Analytics 96

KDnuggets

AUGUST 26, 2019

Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.

Visualization 122

Visualization Sales 122

erwin

AUGUST 29, 2019

Big or Small, Enterprise Architecture Is a Key Part of a Successful Software Deployment Strategy. A good software deployment strategy could be the difference between multiple and costly false starts and a smooth implementation. Considering the rate at which emerging technologies are introduced, it’s becoming more important than ever for organizations to have a software deployment strategy in place.

Software 91

Software Strategy IT Cost-Benefit 91

Analytics Vidhya

AUGUST 25, 2019

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This. The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python appeared first on Analytics Vidhya.

Machine Learning 305

Machine Learning Modeling Analytics 305

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.

Testing

Smart Data Collective

AUGUST 29, 2019

Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs. Many modern design tools rely on sophisticated machine learning algorithms.

Big Data 79

Big Data Machine Learning Visualization Technology 79

KDnuggets

AUGUST 29, 2019

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

Deep Learning 121

Deep Learning 121

BizAcuity

AUGUST 26, 2019

The casino business is one that is booming quickly. It has not only tripled in size in recent years but sources predict that it is about to rise to new heights in the coming years. While its operation could throw many challenges your way, it presents even more and bigger opportunities. Ever since the digitization of casinos, casino managers are being exposed to a great deal of data.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

Analytics Vidhya

AUGUST 28, 2019

Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but. The post 3 Beginner-Friendly Techniques to Extract Features from Image Data using Python appeared first on Analytics Vidhya.

Deep Learning 291

Deep Learning Machine Learning Modeling Analytics 291

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IT

Smart Data Collective

AUGUST 27, 2019

Artificial intelligence (AI) serves up a number of assets and benefits for many industries. AI is one of the most discussed topics today, from chatbots to Siri and Alexa. And AI is not a trend. Research has shown that the number of consumers using AI powered virtual assistants will be in the billions in the coming years. There are tons of applications for artificial intelligence available, especially when it comes to banking.

Cost-Benefit 78

Cost-Benefit Interactive Finance Technology 78

KDnuggets

AUGUST 30, 2019

Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

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118

IBM Big Data Hub

AUGUST 29, 2019

Seizing the AI opportunity to tap new sources of energy inspired one ExxonMobil leader to take a collaborative approach to its big data problem. Now she’s been recognized by IBM as a top woman AI leader.

Big Data 73

Big Data IT 73

Jet Global

AUGUST 28, 2019

When building a report, you’ll often want to hide entire rows, columns, or even worksheets – all based on some criteria that may or may not be present. For instance, do you only want the report to show the list of customers that return a positive balance? How about hiding worksheets of vendors you don’t have outstanding orders with? Instead of lengthy workarounds, or even worse, maintaining multiple reports, you can use conditional hiding.

Reporting 68

Reporting IT 68

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.

Customer Analytics

Smart Data Collective

AUGUST 27, 2019

Big data has helped us learn more about the changing nature of the economy. A growing number of digital firms are using machine learning to discover insights into the nature of the new world of commerce. One of the newest trends is the role of phone payments for a variety of services, especially those conducted online. New Hadoop and other data extraction tools have provided a great deal of information about these trends.

Big Data 74

Big Data Data mining Machine Learning Strategy 74

KDnuggets

AUGUST 30, 2019

Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.

Analytics 114

Analytics 114

IBM Big Data Hub

AUGUST 27, 2019

Machine learning (ML) is rapidly helping businesses derive better insight and optimize their day-to-day operations. Yet an ML model is only as good as the data used to train and continually improve it. With the majority of enterprise companies already using a hybrid cloud, accessing domain-specific data you need can be challenging.

Machine Learning 64

Machine Learning Modeling Optimization Enterprise 64

Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows. Since Insight’s launch in Boston, we’ve built up a network of over 300 local alumni, at companies including Wayfair, CVS Health, BCG, Vertex, and many more.

Data Science 56

Data Science Machine Learning Sales Measurement 56

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.

Management

Smart Data Collective

AUGUST 29, 2019

Are you considering a career in big data ? There are a lot of great opportunities in the UK. You can find a lot of potential job openings, but you need to navigate the ICT training process to qualify for a work visa. Get ICT Training to Thrive in a Career in Big Data. Data is a big deal. Many of the world’s biggest companies – like Amazon and Google have harnessed data to help them build colossal businesses that dominate their sectors.

Big Data 74

Big Data Data-driven Data Science Data Analytics 74

KDnuggets

AUGUST 27, 2019

Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.

Data Science 110

Data Science Data Analytics Management Analytics 110

IBM Big Data Hub

AUGUST 30, 2019

How much time do your data scientists and business analysts spend looking for the right data?

76

76

Andrew White

AUGUST 30, 2019

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Julian Sun scores his second “number 1” this year with a note about augmented analytics. This note last week scored the third largest number of downloads in any given week this year (since Feb when I started looking at the data).

Analytics 53

Analytics Interactive 53

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Strategy

Smart Data Collective

AUGUST 29, 2019

The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever. In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies.

Sales 72

Sales Data-driven Marketing Strategy 72

KDnuggets

AUGUST 27, 2019

With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.

Machine Learning 110

Machine Learning Deep Learning 110

Teradata

AUGUST 27, 2019

How can a Digital CFO break down the silos in the Bank and support the digital agenda in transforming the customer journey? Read more from our experts!

Digital Transformation 53

Digital Transformation Finance 53

CDW Research Hub

AUGUST 29, 2019

If you have a need for HA in AWS and you follow the tech docs on the Palo Alto site, they can be a bit confusing. There are two methods, one being the Palo Alto proper and the other using AWS native ELB. The Palo Alto VM-Series firewall on AWS supports active/passive HA only. If it is deployed with Amazon Elastic Load Balancing (ELB), it does not support HA.

Recreation/Entertainment 40

Recreation/Entertainment Dashboards Management Optimization 40

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