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 207

Machine Learning Technology 207

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 78

Prescriptive Analytics Manufacturing ROI Uncertainty 78

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 Interactive 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 44

Machine Learning Big Data Data Science Data Warehouse 44

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

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 43

Manufacturing Machine Learning Testing Technology 43

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

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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

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 162

Analytics 162

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

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 11, 2018

It has become much more feasible to run high-performance data platforms directly inside Kubernetes. Kubernetes is really cool because managing services as flocks of little containers is a really cool way to make computing happen. We can get away from the idea that the computer will run the program and get into the idea that a service happens because a lot of little computing just happens.

Big Data 150

Big Data Data Processing Statistics Management 150

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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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

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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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.

Machine Learning 123

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

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

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

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 107

IoT Technology 107

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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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

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

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

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