O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models with

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

Analytics Vidhya

JUNE 19, 2019

Overview Check out Google AI’s best paper from ICML 2019 There is a heavy focus on unsupervised learning in Google AI’s paper We have. The post Simplifying Google AI’s Best Paper at ICML 2019 on Unsupervised Learning appeared first on Analytics Vidhya.

Analytics 301

Analytics Deep Learning 301

datapine

JUNE 18, 2019

Regardless of your sector or industry, it’s likely that your financial department is the beating heart of your entire operation. Without financial fluency, it’s difficult for an organization to thrive, which means that keeping your monetary affairs in order is essential. As a business, you need the reliability of frequent financial reports to gain a better grasp of your financial status, both current and future.

Reporting 251

Reporting KPI Metrics Finance 251

Corinium

JUNE 20, 2019

Over the last few years, there has been a lot of focus on Digital Transformation, which is not a new concept. In the last decade or so, the focus was on paperless offices, work place mobility, which is what I would classify as Digitization. These days, the focus is on what we call Digitalization, which is a comprehensive transformation rather than Digitization mentioned previously.

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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

O'Reilly on Data

JUNE 20, 2019

The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. In this episode of the Data Show , I spoke with Nick Pentreath , principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open source tools that enable end-to-e

Machine Learning 217

Machine Learning Deep Learning Modeling 217

Analytics Vidhya

JUNE 18, 2019

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.

Modeling 297

Modeling Data Transformation Analytics Deep Learning 297

Corinium

JUNE 21, 2019

Customer experience is the only way that organisations are able to gain competitive advantage and hold on to their customers. It is the experience that customers have that will keep them coming back.

IT 150

IT 150

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. A few factors are contributing to this strong interest in implementing ML in products and services. First, the machine learning community has conducted groundbreaking research in many areas of interest to companies, and much of this research has been

Modeling 195

Modeling Machine Learning Testing Metrics 195

Analytics Vidhya

JUNE 16, 2019

Introduction First – a HUGE thank you to our community for the wonderful response to the first issue of our exclusive AI comic – The post The AI Comic: Z.A.I.N – Issue #2: Facial Recognition using Computer Vision appeared first on Analytics Vidhya.

Analytics 232

Analytics Deep Learning 232

Juice Analytics

JUNE 16, 2019

“Deep summer is when laziness finds respectability.” Sam Keen Now that Summer is here it’s a great time to recharge our batteries. Whether it’s a much needed vacation, a nap in the hammock, hours watching soccer games or curling up with a good book. Here are the books that made it onto the Juice Summer reading list this year. We’ve started some of them, but plan to get through the entire list by Labor Day.

Visualization 93

Visualization IT 93

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Data-driven

Corinium

JUNE 20, 2019

Over the last eight years the East Africa region has undergone rapid transformation from new Fintech offerings, mobile money, digitalization and growth of digital financial services.

Data Analytics 150

Data Analytics Analytics 150

TDAN

JUNE 18, 2019

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. Organizations typically define the scope of their data problems by their current (known) data quality issues (symptoms). However, this definition is […].

Data Quality 90

Data Quality Data Architecture IT Data Strategy 90

Dataiku

JUNE 20, 2019

The human-centered AI conference, EGG NYC, is off to a great start! We've brought data enthusiasts and practitioners together to talk about the future of AI and how to keep humanity and empathy at the center as we drive the technology forward. We're enjoying a cloudy day in TriBeCa and we've learned a lot already.

Technology 87

Technology Data Science 87

IBM Big Data Hub

JUNE 18, 2019

In my last blog , I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise , fully harness data using the latest technologies, and sustain a

Data Strategy 86

Data Strategy Strategy Data Architecture Enterprise 86

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

Smart Data Collective

JUNE 17, 2019

Big data is changing the nature of the world we live in. It has created a number of new forms of smart technology, which are simplifying our lives in wonderful ways. The classic example is with smart homes. You can probably remember watching movies about smart houses on the Disney Channel and other networks over the past 30 years. However, they are finally coming to live, largely due to new big data technology.

Technology 87

Technology Internet of Things Big Data IoT 87

Sisense

JUNE 19, 2019

What would it mean to you and your enterprise, if you could start getting useful business insights from your data in literally five days or less? As exciting as this seems, it’s actually just what a good business intelligence platform should be able to do for you. While BI projects can be short term or long term, straightforward or sophisticated, they should all bring actionable results as soon as possible.

Dashboards 75

Dashboards Business Intelligence Sales Visualization 75

Decision Management Solutions

JUNE 19, 2019

By: Zoe Zhou. There is a common high-level customer journey for insurance customers. The customer researches providers and policy options. Once a preferred provider and policy are decided, the customer applies for the policy. If they are approved the policy is issued. If they have a claim, they fill out the relevant paperwork and the claim is adjudicated.

Insurance 75

Insurance Consulting Predictive Analytics Interactive 75

IBM Big Data Hub

JUNE 17, 2019

AutoAI in IBM Watson Studio makes it possible for you to automate many of the often complicated and laborious tasks associated with designing, optimizing and governing AI in the enterprise.

Optimization 85

Optimization Enterprise IT 85

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 17, 2019

Online retailers are using machine learning solutions to deliver the highest level of service to their customers. They have found that big data makes it easier to personalize services and offer the highest value for the lowest cost. One of the best ways machine learning is helping online retailers is with new POS software applications. If you’re running an online store, you want a POS system that’s going to fit the needs of your business.

Machine Learning 84

Machine Learning Software Sales Cost-Benefit 84

Jet Global

JUNE 18, 2019

Of all the transformative effects the internet has had on the world of business, none is more dramatic than the proliferation of data it has enabled. From social networks to inventory management tools to internet-connected devices (the Internet of Things), data that will help businesses better understand their employees, customers, inventory, and processes are being generated at an exponentially faster rate every day.

Big Data 75

Big Data Software Data Analytics Analytics 75

Timo Elliott

JUNE 21, 2019

Here’s a quick video I put together for the top four analytics trends I talked about at the recent VNSG (SAP Netherlands User Group) Analytics event in Utrecht’s railway museum: Embedded Analytics, Augmented Analytics, Experience Analytics, and… (as ever and always) DATA! And here are the slides : I hope to find the time to write up these trends in more detail in the near future!

Analytics 74

Analytics IT Business Intelligence 74

Dataiku

JUNE 18, 2019

When I very enthusiastically joined Dataiku over 3 years ago, I was full of hope in technology, the startup world, and empowering people with data.

Technology 81

Technology 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 17, 2019

Big data is changing the nature of app development in several major ways. Some of the new practices include: Developing a strategy for aggregating consumer data. Ensuring the app is compliant with GDPR and other data privacy protocols. Integrating your monetization strategy into your new app. Since big data has increased the complexity of app development, you need a clearly outlined strategy.

Big Data 75

Big Data Advertising Strategy Metrics 75

DataRobot

JUNE 18, 2019

In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand. The technology they invented, automated machine learning, allowed organizations to scale data science capacity by teaching machines to perform much of the tedious and time-consuming work for a data scientist while also giving them access to hundreds of different algorithms.

Machine Learning 73

Machine Learning Data Science Optimization Modeling 73

Teradata

JUNE 16, 2019

Running older Teradata analytics software versions may not support the latest innovations of Vantage and could cost you more than upgrading. Learn more.

IT 75

IT Software Analytics 75

Jen Stirrup

JUNE 20, 2019

Today, Microsoft launched Immersive Reader , aimed at increasing the opportunities for developers to embed inclusivity in their apps. I love reading, and I love the idea that reading will be brought to people who might otherwise struggle with text reading and comprehension. You can learn more over at the Azure Cognitive Services website. If you want to get started straight away, here is the Ibiza Portal Create Blade and here’s the Documentation.

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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 17, 2019

The fact is phrases like “analyst” and “computer engineer” mean different things today than they did just a generation ago. Hardly anybody needs reminding, but computers and information technology move incredibly quickly these days. Whether you’ve got both feet in this world on a professional basis, or you’re an out-of-practice programmer wondering where things are headed, or you’re a CEO or CTO and you want to know what kinds of tech are worth the inves

Snapshot 73

Snapshot Data Science Big Data Marketing 73

IBM Big Data Hub

JUNE 17, 2019

Financial services organizations face considerable challenges today. From regulatory changes to globalization to shifting customer expectations, the urgent need to re-engineer outdated systems to better manage vast amount of data can apply additional pressure. Organizations must deal with the consistency, accuracy, timeliness and complexity of their data to remain competitive.

Enterprise 65

Enterprise Management 65

Andrew White

JUNE 19, 2019

Click here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc. Rita has done it again – her very persuasive research is back at the top of the charts!

Analytics 61

Analytics Interactive IT 61

Smarten

JUNE 19, 2019

Encourage Data Literacy and Achieve Results with Assisted Predictive Modeling! If you want to include predictive analytics and forecasting in your planning process, there are numerous analytical techniques and algorithms at your disposal. You may hire a data scientist or analyst to help you plan OR, if your organization wishes to provide analytical access to business users, you will want to implement a self-serve Advanced Analytics solution that incorporates all of the standard, comprehensive te

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Forecasting 58

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