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 79

Prescriptive Analytics Manufacturing ROI Uncertainty 79

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: 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

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 45

Manufacturing Machine Learning Testing Technology 45

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.

192

192

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

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

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 164

Advertising Insurance Experimentation Strategy 164

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 161

Analytics 161

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

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 154

Interactive Management 154

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 140

IoT Machine Learning Deep Learning Data Science 140

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.

132

132

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.

121

121

Advertisement

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

IT

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.

112

112

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 122

Machine Learning IT 122

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: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

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?

104

104

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.

102

102

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

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

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.

102

102

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.

104

104

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.

Sales 40

Sales Visualization Analytics 40

Advertisement

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

Strategy