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 95

Sales Big Data Marketing Data-driven 95

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 Data Governance 60

Analytics Vidhya

JUNE 5, 2019

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning. The post Top 7 Machine Learning Github Repositories for Data Scientists appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Data Science Analytics Deep Learning 307

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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?

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Insurance Analytics Forecasting Deep Learning 250

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

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 216

Analytics Machine Learning 216

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

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” The conference more than doubled from last year: 2 days, 3 tracks, 5 sponsors, 39 sessions, 65 speakers, 600 attendees.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

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 100

Machine Learning Big Data Reporting Marketing 100

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Data-driven

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 209

Analytics Deep Learning Machine Learning 209

Corinium

JUNE 4, 2019

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

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150

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

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

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Cloudera

JUNE 6, 2019

Noisy Neighbors in Large, Multi-Tenant Clusters. The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Once configured and secured, the cluster administrator (admin) gives access to a few individuals to onboard their workloads. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

Metadata 86

Metadata Data Lake Optimization Strategy 86

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 85

Optimization IT 85

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

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

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 82

Big Data Marketing Cost-Benefit Unstructured Data 82

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 83

Optimization Data-driven IT 83

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 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

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

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 79

Machine Learning Software Management Data Science 79

Teradata

JUNE 6, 2019

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

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110

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 77

Business Intelligence Management 77

Sisense

JUNE 6, 2019

Published each February, the Gartner MQ gets all of the fanfare. But frankly, as a data geek, it is a pretty boring report. Each vendor gets a single dot, three strength statements, and three caution statements. For all the work that goes into the analysis, that’s it! Sisense was named a Visionary on the Gartner MQ, but even with our outstanding performance, I am left wanting more.

Reporting 75

Reporting Business Intelligence Visualization Digital Transformation 75

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

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 78

Big Data Cost-Benefit Predictive Analytics Manufacturing 78

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

Sisense

JUNE 5, 2019

We live in an era of Big Data. The sheer volume of data currently existing is huge enough without also grappling with the amount of new information that’s generated every day. Think about it: financial transactions, social media posts, web traffic, IoT sensor data, and much more, being ceaselessly pulled into databases the world over. Outdated technology simply can’t keep up.

Big Data 75

Big Data Cost-Benefit IoT Structured Data 75

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling