datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Arthur Conan Doyle. Data is all around us. According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. That’s an unfathomable amount of information. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

JUNE 1, 2019

Big Data is taking center stage, and it is touted as one of the most groundbreaking technologies of the present time. The utilization of Big Data is not only limited to only one sector anymore. Instead, Big Data is used in various different sectors. For example, Big Data analytics are used in various agricultural fields as well to derive useful insights in order to yield better crops.

Sales 92

Sales Big Data Marketing Data-driven 92

TDAN

JUNE 4, 2019

This past month, San Francisco’s City Council voted to ban the use of facial recognition technologies. Internationally, and perhaps a little less visibly, we’ve seen various municipalities step back from the roll out of IoT and machine learning technologies such as tracking of devices connected to public Wi-Fi networks. We have also seen the continued […].

IoT 60

IoT Machine Learning Technology Risk 60

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs. Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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.

Experimentation

Analytics Vidhya

JUNE 2, 2019

Introduction What would you do if you had the chance to pick the brains behind one of the most popular Natural Language Processing (NLP). The post DataHack Radio #23: Ines Montani and Matthew Honnibal – The Brains behind spaCy appeared first on Analytics Vidhya.

Analytics 262

Analytics Machine Learning 262

datapine

JUNE 3, 2019

“The competition to hire the best will increase in the years ahead. Companies that give extra flexibility to their employees will have the edge in this area.” – Bill Gates. To compete, evolve, and remain relevant, today’s forward-thinking businesses always strive to improve the efficiency of their internal processes while measuring their success – and hiring talent is no exception.

Metrics 210

Metrics Dashboards KPI Measurement 210

Corinium

JUNE 7, 2019

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations. Gert Botes , Data Analytics Portfolio Director - MEA conducted a brief interview with. Abigail Britton , Data Science Lead at Anheuser-Busch InBev. -.

Data Science 150

Data Science Data Analytics Analytics 150

Analytics Vidhya

JUNE 3, 2019

“Sound does not travel in a vaccum.“ The above concept might just be a simple fact for you – but I had a tough. The post The AI Comic: Z.A.I.N – Issue #1: Automating Attendance using Computer Vision appeared first on Analytics Vidhya.

Analytics 253

Analytics Deep Learning Machine Learning 253

Smart Data Collective

JUNE 1, 2019

. Many bloggers get very frustrated after they have been working for a couple of months. They initially are excited about the possibility of making a six-figure stream of passive income. After they get started though, they discovered that the legwork can be overwhelming. The good news is that machine learning is making it much easier for them to create a successful blogging career, as Jeff Bullas points out.

Machine Learning 97

Machine Learning Big Data Reporting Marketing 97

Data Science 101

JUNE 3, 2019

Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow. Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations. Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, M

Data Science 96

Data Science Machine Learning Modeling Software 96

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

Corinium

JUNE 4, 2019

Tell us a bit about your background and how you ended up in your current role.

150

150

Dataiku

JUNE 7, 2019

With over 100,000 participants, 3,000 technical institutions, and 200 organizations involved, the Smart India Hackaton (SIH) is one of the biggest student software and hardware hackatons in the world. It is a 36-hour-long digital product development competition where students are encouraged to use the latest technology to solve present-day problems, and thus form a culture of innovation and a problem solving mindset.

Software 96

Software Technology IT 96

IBM Big Data Hub

JUNE 6, 2019

Together, IBM and Cloudera offer a modern data platform with the governance and security to drive the future of AI and ML. Our solutions are optimized for the cloud, but we give our customers options to put their data where it works best for them.

Optimization 90

Optimization IT 90

TDAN

JUNE 4, 2019

Data has a bad status across various business industries. It is always considered a boring, freaky, and time-consuming task. But who cares! Data doesn’t need any status as you don’t have the choice to overlook this aspect to maintain efficiency in your organization. Ronal Coase, winner of the Noble Prize in Economics quoted, “Torture the […].

IT 85

IT Data Strategy Big Data Strategy 85

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

Sisense

JUNE 3, 2019

Forming human relationships is one of the most basic and important skills we need to survive. We need relationships just like we need air to breathe. In fact, when we’re born we need skin contact immediately. That’s a pretty strong message from Mother Nature, don’t you think? It doesn’t stop there. From the beginning stages of our lives, we establish intricate relationships in school with our classmates, as well as at home with our families.

Marketing 81

Marketing Sales Cost-Benefit Software 81

Dataiku

JUNE 5, 2019

The age of unsupervised tech deployment may be coming to an end. While Amazon stakeholders recently voted not to impede the sale of facial recognition tech over privacy concerns, the U.S. House of Representatives is stepping in to evaluate antitrust and civil liberties governance in the age of tech giants.

Sales 91

Sales 91

IBM Big Data Hub

JUNE 3, 2019

Back when I was in school, one of the most difficult classes for my business degree was quantitative analysis. It wasn’t just hard, it was laborious to translate and solve business conditions and problems into algebraic equations by hand. In the beginning, it was merely optimizing output based on a few constraints. As the course progressed, the equations became longer and more complicated in order to solve more complex problems.

Optimization 86

Optimization Data-driven IT 86

Smart Data Collective

JUNE 7, 2019

With today’s technology, there’s an increasing demand for stream processing. Data, for instance, has to be processed fast so that the companies can keep up to the changing business and market conditions in real time. This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. Read this article as we’ll tackle what big data and stream processing are.

Big Data 80

Big Data Marketing Cost-Benefit Unstructured Data 80

Advertisement

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.

IT

CIO Business Intelligence

JUNE 3, 2019

Apache Spark is a fast data processing framework dedicated to big data. It allows the processing of big data in a distributed manner (cluster computing). Very popular for a few years now, this framework is about to replace Hadoop. Its main advantages are its speed, ease of use, and versatility. Apache Spark is an open source big data processing framework that enables large-scale analysis through clustered machines.

Big Data 80

Big Data Data Processing Analytics IT 80

Dataiku

JUNE 3, 2019

The evolution of artificial intelligence, machine learning and big data have been an increasingly integral part in the transformation of many industries, and marketing is no exception. Data-driven technology has made it possible for marketers to build a clearer picture of their target audiences than ever before, and in the hotbed of all this lies artificial intelligence (AI) marketing.

Marketing 81

Marketing IT Machine Learning Data-driven 81

IBM Big Data Hub

JUNE 4, 2019

Today’s launch of Db2 11.5 , the world’s premier AI database, is great news for any company seeking to build an architecture that supports their AI implementation. Governance, integration, and business intelligence are all important rungs on the ladder for a business to reach AI. But the first step is a solid hybrid data management practice.

Business Intelligence 82

Business Intelligence Management 82

Teradata

JUNE 6, 2019

Chad Meley delves into the demise of Hadoop distribution vendors and how they got there.

110

110

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

JUNE 7, 2019

Task management applications are changing the way we manage teams. Here are some of the primary benefits of these task management applications : Task management tools improve team productivity. Task management tools make sure that teams operate more efficiently. Task management tools minimize worker stress. Task management tools help with monitoring trends.

Machine Learning 77

Machine Learning Software Management Data-driven 77

Jet Global

JUNE 5, 2019

In the modern era, businesses are continually looking for a competitive advantage—something that will allow them to deliver goods or services at a lower cost, higher quality, and faster speed than their competitors. The path to doing so begins with the quality and volume of data they are able to collect. Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to mak

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

TDAN

JUNE 4, 2019

What are the ethics of collecting, managing, and analyzing data? Have we given sufficient thought to that question? Is it going to come to regulations enforced by government and industry consortiums to make businesses think about data ethics with the goal of truly treating data ethically? Those are some loaded questions that are worth considering, […].

Management 71

Management Data Architecture IT Data Strategy 71

BI-Survey

JUNE 3, 2019

N orth America has embraced the cloud more fully than Europe at this time. It is more committed to a cloud strategy and has double the rate of “high” usage of the cloud compared to Europe. It also has a higher percentage of companies that are strategically committed to cloud BI to a high degree, and it has higher usage as well. This is no surprise since North America is home to many cloud software firms and has traditionally been a fast adopter of new technologies compared to Europe.

Data Processing 68

Data Processing Reporting Strategy Management 68

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.

Risk

Smart Data Collective

JUNE 7, 2019

One of the most fascinating things about big data is its ability to optimize the design of products that have pre-dated digital technology by centuries. One of the most interesting examples is with magnets. Magnets are ancient devices. They are so old, that the history of their discovery has been lost in legend. It is rumored that the first magnet was discovered by a Cretan man named Magnes over 4000 years ago.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Manufacturing 76

IBM Big Data Hub

JUNE 3, 2019

According to a recent IDC report , 79 percent of enterprises are currently investing in a hybrid cloud environment or have planned to invest in towards one in the next twelve months. More businesses are looking to do this by adopting public cloud deployments for their data management needs.

Data Warehouse 67

Data Warehouse Reporting Enterprise Management 67

CDW Research Hub

JUNE 4, 2019

Sirius continues to build on its strategic partnership with Amazon Web Services (AWS) by tirelessly working to elevate our technical expertise and our ability to help businesses succeed. Because of this, we are proud to announce that we have successfully achieved AWS Storage Competency status. The AWS Storage Competency designation is a significant accomplishment requiring rigorous business and technical validation and proven client success in specialized solution areas.

Consulting 67

Consulting Optimization Strategy Technology 67

Insight

JUNE 2, 2019

Simply Install is a series of blogs covering installation instructions for simple tools related to data engineering. This blog covers basic steps to install and configuration Apache Spark (a popular distributed computing framework) as a cluster. To provide a consistent installation, all instructions are written after testing on Ubuntu 18.04 on AWS using EC2 Instances.

Testing 67

Testing Management Data Processing Interactive 67

Advertisement

“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.

Strategy