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 259

Machine Learning Data Quality Statistics Modeling 259

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 307

Analytics Deep Learning 307

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 Metrics KPI Finance 251

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

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

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 212

Machine Learning Deep Learning Modeling 212

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 307

Modeling Data Transformation Analytics Deep Learning 307

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

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 279

Analytics Deep Learning 279

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 93

Optimization Enterprise IT 93

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

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

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 86

Technology Internet of Things Big Data IoT 86

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 78

Visualization IT 78

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

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

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

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

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

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

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 67

Enterprise Management 67

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 74

Big Data Advertising Strategy Metrics 74

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 64

Analytics IT Business Intelligence 64

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.

64

64

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

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

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 71

Snapshot Data Science Big Data Marketing 71

DataRobot

JUNE 20, 2019

Today we announced the exciting news that DataRobot acquired ParallelM , the leader in machine learning operations (MLOps).

Machine Learning 71

Machine Learning 71

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 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

TDAN

JUNE 18, 2019

Is your organization struggling to succeed with your Data Governance program? Is adoption by the business an issue for you? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity. Many organizations have attempted to implement Data Governance and their business glossary with a very limited […].

Data Governance 56

Data Governance Metadata Data Strategy Business Intelligence 56

Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Well, you aren’t alone! Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon.

Risk Management 70

Risk Management Risk Management Big Data 70

Peter James Thomas

JUNE 20, 2019

Source: Google Trends. Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Bruno Aziza

JUNE 19, 2019

How MIT Solve is addressing the global demand for social impact initiatives.

84

84

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing