O'Reilly on Data

SEPTEMBER 13, 2018

The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show , I spoke with Alan Nichol , co-founder and CTO of Rasa , a startup that builds open source tools to help developers and product teams build conversational applications. About 18 months ago, there was tremendous excitement and hype surrounding chatbots, and while things have quieted lately, companies and developers continue to refine and define tools for b

Machine Learning 205

Machine Learning Technology 205

IBM Big Data Hub

SEPTEMBER 11, 2018

Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently. Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.

Prescriptive Analytics 81

Prescriptive Analytics Manufacturing ROI Uncertainty 81

John Wheeler

SEPTEMBER 14, 2018

This week, Gartner hosted its annual Security & Risk Management Summit in London and the buzz at the event centered on the new risks associated with the General Data Protection Regulation (GDPR). The discussion was fueled by the recent cyber attack experienced by British Airways (BA). BA disclosed the data breach just prior to our event and it was headline news in London throughout the week.

Risk Management 56

Risk Management Risk Data Processing Management 56

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Modeling

O'Reilly on Data

SEPTEMBER 13, 2018

Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments. Continue reading Derive value from analytics and AI at scale.

Analytics 191

Analytics Software 191

IBM Big Data Hub

SEPTEMBER 12, 2018

Lunewave's Hao Xin writes, "As a kid, I dreamed about the flying cars and jetpacks that would hopefully define our future lives. Up until recently, the technology that could make them even remotely possible was both expensive and difficult to manufacture. Now, thanks to 3-D printing and machine learning, engineers can quickly and cost effectively design, test and commercialize new designs, making the era of autonomous vehicles — yes, even flying cars — closer to reality than ever.".

Manufacturing 46

Manufacturing Machine Learning Testing Technology 46

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. In this new blog series, we will take a closer look at some of the most innovative partners, and how the Cloudera platform is helping them deliver groundbreaking solutions to our customers.

Data Warehouse 43

Data Warehouse Unstructured Data Internet of Things Enterprise 43

O'Reilly on Data

SEPTEMBER 13, 2018

Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML. Continue reading Practical ML today and tomorrow.

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Smarten

SEPTEMBER 14, 2018

No Guesswork! Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

DataRobot Blog

SEPTEMBER 9, 2018

by Jen Underwood. Note: Thank you to Ariel Pohoryles, Director of Product Marketing at Dundas Data Visualization, for sharing the following educational guest article on advanced visualizations. I’ll be following this one up. Read More.

Visualization 40

Visualization Marketing 40

Advertisement

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

Cloudera

SEPTEMBER 11, 2018

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera. Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

O'Reilly on Data

SEPTEMBER 11, 2018

If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. There’s a long history of language about moving data: we have had dataflow architectures, there's a great blog on visualization titled FlowingData , and Amazon Web Services has a service for moving data by the (literal) truckload.

Advertising 166

Advertising Insurance Experimentation Strategy 166

Smarten

SEPTEMBER 13, 2018

Smarten Augmented Analytics supports Citizen Data Scientists with NLP, Self-Serve Data Prep, Smart Data Visualization, Assisted Predictive Modeling and more! You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Analytics 40

Analytics Predictive Modeling Visualization Modeling 40

O'Reilly on Data

SEPTEMBER 13, 2018

Chad Jennings explains how Geotab's smart city application helps city planners understand traffic and predict locations of unsafe driving. Continue reading Smarter cities through Geotab with BigQuery ML and geospatial analytics.

Analytics 163

Analytics 163

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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

O'Reilly on Data

SEPTEMBER 13, 2018

Amber Case covers methods product designers and managers can use to improve interactions through an understanding of sound design. Continue reading Sound design and the future of experience.

Interactive 156

Interactive Management 156

O'Reilly on Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. Below you'll find links to highlights from the event. The future of data warehousing. Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations.

IoT 141

IoT Machine Learning Deep Learning Data Science 141

O'Reilly on Data

SEPTEMBER 12, 2018

Joseph Lubin explains how Ethereum can help with new innovations like cryptocurrencies, automated and self-executing legal agreements, and self-sovereign identity. Continue reading The power of Ethereum.

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O'Reilly on Data

SEPTEMBER 13, 2018

Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them. Continue reading Black box: How AI will amplify the best and worst of humanity.

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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

O'Reilly on Data

SEPTEMBER 13, 2018

Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future. Continue reading Quantifying forgiveness.

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O'Reilly on Data

SEPTEMBER 12, 2018

Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement. Continue reading The missing piece.

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Machine Learning IT 123

O'Reilly on Data

SEPTEMBER 13, 2018

Dinesh Nirmal explains how AI is helping supply school lunch and keep ahead of regulations. Continue reading Wait. pizza is a vegetable? Decoding regulations using machine learning.

Machine Learning 107

Machine Learning 107

O'Reilly on Data

SEPTEMBER 12, 2018

Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Continue reading Preserving privacy and security in machine learning.

Machine Learning 107

Machine Learning 107

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

SEPTEMBER 12, 2018

DD Dasgupta explores the edge-cloud continuum, explaining how the roles of data centers and cloud infrastructure are redefined through the mainstream adoption of AI, ML, and IoT technologies. Continue reading AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think).

IoT 106

IoT Technology 106

O'Reilly on Data

SEPTEMBER 12, 2018

Ted Dunning discusses how new tools can change the way production systems work. Continue reading The answer to life, the universe, and everything: But can you get that into production?

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O'Reilly on Data

SEPTEMBER 12, 2018

Drew Paroski and Aatif Din share how to develop modern database applications without sacrificing cost savings, data familiarity, and flexibility. Continue reading Leveraging the best of the past to power a better future.

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O'Reilly on Data

SEPTEMBER 13, 2018

Amanda Pustilnik highlights potential applications of data from new technologies that capture brain-based processes. Continue reading Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses.

Technology 101

Technology 101

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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

O'Reilly on Data

SEPTEMBER 13, 2018

Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process Continue reading The data imperative.

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O'Reilly on Data

SEPTEMBER 12, 2018

Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations. Continue reading The future of data warehousing.

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Cloudera

SEPTEMBER 13, 2018

Machine learning. The very name suggests there’s little involvement required from actual people. It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. People add complexity. People add the risk of error. And people add a lot of time. However, we’ll always need people to come up with the overarching prediction problems to solve and to make the ultimate choices to solve them, but there is a lot of data science work now that

Machine Learning 40

Machine Learning Enterprise Data Science Risk 40

Smarten

SEPTEMBER 13, 2018

This short video demonstrates how macroeconomic data for different states like GDP, Population or rainfall can be connected to sales of cement. This demonstration can be used to visualize how you can use a correlation with your data and macroeconomic data for your planning. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

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Sales Visualization Analytics 40

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. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

Manufacturing