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Nexosis @ Work & Play

Announcing New Regression Capabilities

We are excited to announce that we have expanded the Nexosis Machine Learning API regression capabilities beyond time series.

Version maintenance and bug fix

Maintenance updates and bug fixes for regression capability

Community Code of Conduct: Hello World

Announcing the Nexosis Community Code of Conduct that sets expectations for behavior within our community to ensure it is safe and inclusive.

Hack with Us at Twin Cities Startup Week

We are a proud sponsor of Twin Cities Startup Week and are hosting a social good hackathon this Friday, October 13th.

IoT and ML Are Like Peas and Carrots

We need to start thinking of internet of things and machine learning as a dynamic duo that together will change the world.

Bug fixes

Various bug fixes

Calendar Data Sources

Our API users can now include calendars as a dataset to improve their forecasts.

Automating Time Series Model Selection

Ryan gives a rundown of his MLconf talk on using decision theory to automate time series model selection.

Regression

Added regression to platform

API World 2017 Recap

API World kept us busy for almost a week and it was the biggest event we've attended yet. We came back to Ohio with memories, stories, and a ton of learnings.

The Steep Learning Curve of Machine Learning

Machine learning is hard. So where do you start if you want to master or at least understand?

CMX Summit Takeaways

Although we are in the early stages of building the Nexosis API community, attending CMX Summit showed us the value of investing in community.

Time Series Smoothing, bug fixes

Added time series smoothing, various bug fixes

The Business of APIs eBook

Download our Business APIs eBook to learn how APIs save time and money, while fostering innovation.

Forecasting Web Traffic

Jason wrote an API tutorial to show how to use Google Analytics Web Session data to forecast future web sessions and see the impact of certain activities.

API Status Page

It's important that we are transparent with our API users. That's why we launched a new status page to provide API incident communications.

Machine Learning is Not a Magic Bullet

We're a machine learning company and we want you to know that machine learning is not a magic bullet. Read more to see what we mean.

Machine Learning...Swiftly

Guy is building our Swift API client. For the skeptics, and also believers, he discusses three scenarios in which a Swift API client would be useful.

MLconf Atlanta Takeaways

We're back from MLconf in Atlanta. It was an amazing experience connecting with diverse people with different backgrounds in machine learning.

Come See Us at API World 2017

We are basically taking over API World 2017 by sponsoring and judging the Hackathon, speaking, and having a booth. Come see us innovative API people!

Bug fixes

Ensemble results properly returned

Regression vs. Time Series

Danna explains some differences between regression and time series problems, and why it's easy to confuse the two.

New User Tutorials and Ensembling, bug fixes

Added tutorials, ensembling, bug fixes

Understanding Nested Views In Elm

Zach shares how an error message taught him how nested view functions from different modules work together in Elm.

Come See Us at MLconf Atlanta

Come see us at MLconf Atlanta this Friday! We'll be at a booth and one of our machine learning engineers is speaking about decision theory.

Daily API RoundUp: Apple Music, Microsoft Intune, Lokalise, Nexosis, Unblu

Nineteen APIs have been added to the ProgrammableWeb directory in categories including Engagement, Translation, and Machine Learning.

JavaScript Promises and the Nexosis API

Guy, our Developer Evangelist, explores how to use JavaScript promises and how to use them with the JavaScript client for our API.

Exploring the Nexosis API with IPython

Jeff E made some video tutorials to show how he's been using IPython to test our Python client library implementation. Check them out.

Calendars Import Capabilities

Import calendars

Data Analysis Will Be As Common As the Internet

Joe is on a mission to make concepts like probability, mean, and variance be as commonly understood as noun, verb, and adjective. Here's why.

New Employee Spotlight: Amie Davis

Meet Amie Davis, our new Event Marketing Manager, who will coordinate and plan all events that we attend, sponsor, or host.

Various Bug Fixes

Various bug fixes

Infographic: In-House Development vs. API Timeline

Discover how APIs make building machine learning applications easier and faster. Download the In-House Development vs. API Timeline Infographic.

Introducing API Views Feature

Nexosis API users can now use views to create a session based on a dataset of observations mixed with a different dataset that contains features.

Views (Joined DataSets), Account Management features, PowerShell Client Release, bug fixes

Views (Joined DataSets), account management, documentation updates, bug fixes

The Importance of Zeroes

Jeff G. explains how he discovered zeroes aren't a good choice for a value like temperature or any value which isn’t naturally zero when not observed.

New Employee Spotlight: Guy Royse

Meet our first Developer Evangelist, Guy Royse, who brings over 20 years of programming, technology, and consulting experience to the Nexosis team.

Understanding DynamoDB Part 1: Costs and Document Sizing

Our engineers have learned so much since adopting Amazon DynamoDB as a data store that they turned it into a blog post series. John kicks it off.

What We Learned at That Conference

Find out everything we learned at That Conference.

Interactive Password Validation on User Sign-up, bug fixes

Password validation, bug fixes

Reaction: OpenAI Beats Pro Players on Dota 2

Read our reaction to OpenAI's defeat of the world's best players of Dota 2.

How GE, Target, And Levi’s Keep Their Cool

Jim Stengel studied some 200 “odd couple” partnerships between established companies and tech-focused upstarts, including Nexosis.

Forecasting Fitbit Activity

Craig wrote a tutorial using our API .NET client library and Fitbit's API to analyze his physical activity patterns. Check it out.

New Employee Spotlight: Jacob Tidwell

Meet Jacob Tidwell, our new DevOps Engineer. He will be responsible for building and maintaining the infrastructure that powers our machine learning API.

Data Imputation Aggregation and Transformation Strategies, bug fixes

Data imputation strategies, various bug fixes

How Much Data is Needed to Train a (Good) Model?

While there's no "one-size-fits-all" approach, there are general best practices to follow and questions to ask about your data before building a model.

Marketing Impact On Facebook Page Likes

Jason wrote an API tutorial to forecast what would have happened to our Facebook page likes had we not changed our marketing vs. what actually did happen.

How We Are Fostering a Developer Community

Over the last couple of months we have been forming a team of experts dedicated to our developer community initiative.

User Registration Confirmation, bug fixes

Registration confirmation, various bug fizes

Come See Us at That Conference

We are a proud platinum sponsor of That Conference this year. We are also excited to have two of our employees, one being our CTO/Co-Founder, speaking there.

Upcoming Feature: Forecast Time Series at Different Granularity

Today, Nexosis API users can forecast at the hourly, daily, weekly, monthly, or yearly levels. They will now be able to specify a broader range of data types.

Reaction: Automated ML — A Paradigm Shift That Accelerates Data Scientist Productivity

There are about 4M developers and 40,000 statisticians in the US. That's a 100:1 ratio. Automated machine learning tools should improve developer productivity.

Invite System, bug fixes

New invite system, various bug fixes

TensorFlow: A Useful But Not-So-Developer-Friendly ML Tool

Some of the team went to a meetup about TensorFlow. While they agree it's a powerful tool, it still requires extensive machine learning knowledge.

Uncovering Air Quality Impact in Beijing

Jeff built a sample application from our API .NET client library to uncover how shutting down factories impacted air quality in Beijing during the Olympics.

Python API Client Release, Bug Fixes

Documentation updates, various bug fixes

New Employee Spotlight: Danna Naser

Meet Danna Naser, our newest Data Scientist who comes to us from Texas Tech University.

Introducing the Nexosis Machine Learning API

We're excited to announce that the Nexosis Machine Learning API has officially launched! It's the only machine learning API built for developers, by developers.

JavaScript API Client Release, Bug Fixes

Documentation updates, various bug fixes

Why We Support Net Neutrality

Net neutrality is essential to our ability to exist and compete. That is why we are speaking out to keep the FCC from preventing an open internet.

Reaction: Is IBM Watson a 'Joke'?

We react to a Forbes article discussing IBM Watson's shortcomings. While we don't think it's a joke, we were surprised.

Initial Public API Release, Initial Client Library Releases

Public API Release with Regression (Time-Series) and more

Tournament Impact of Dungeon Crawl Stone Soup

Zach uses our API to conduct an impact analysis on the number of Games, Players and Wins during Dungeon Crawl Stone Soup tournaments.

QCon New York 2017 Takeaways

Stephen, our VP of Sales, attended QCon New York last week and gained a ton of great insights about microservices and APIs. Read his recap.

Ninjaneering at Pillar PluggedIn

'Ninjaneering' really is as cool as it sounds. Our CTO shares what he learned about self-awareness and collaboration at Pillar PluggedIn.

Machine Learning: APIs and the Fast Path to Success

Prototyping is a source of innovation that is meant to be a fast, iterative process. APIs get machine learning application prototypes to production faster.

What Startups Can Learn From EA’s E3 Press Conference

Negative feedback is the best feedback. Our CEO explains why user feedback is crucial to the success of our API early access launch.

Reaction: Spaces vs. Tabs Debate

Do software developers who use spaces really make more money than those who use tabs? Ryan does a deeper analysis.

Time Series Analysis In Business

Machine learning is redefining the phrase "Time is Money." We discuss time series analysis in business.

The State of the Data Science Field

We present some facts about the state of Data Science that can prevent companies from leveraging machine learning as a competitive advantage.

Save Time and Improve ROI with APIs

APIs are all around awesome. They save companies time, money and resources while encouraging innovation.

2017 VentureOhio Report Released

VentureOhio released its annual VentureReport that takes a detailed look at Ohio investment activity and the people and companies putting Ohio on the map.

Machine Learning Meets Legos

Man buys too many Legos and sorts with machine learning.

How Developers and APIs Help Teams Succeed with Machine Learning

Organizations should leverage developer skills combined with APIs to effectively unlock the power of machine learning across all departments.

Why I Became a Data Scientist

The Data Scientist profession has been called "The Job of the Future," but why and how do people become Data Scientists? Ryan tells his story.

Comparing Technologies with Stack Overflow Trends

As if we didn't already love Stack Overflow, it just released a trends tool showing changes over time in the number of questions asked about technologies.

Our Favorite Technology Podcasts

Whether you are a veteran developer or new to coding, we have found there is a technology podcast for everyone.

A Little Data Cleaning Goes a Long Way

Time to do some spring (data) cleaning. Natalie and Leah explain the rules of tidy data.

Using Azure KeyVault to Manage Keys

Jason has seen it all when it comes to application security. He shares how to use Azure KeyVault to manage keys.

Encouraging Positive Conversations About Technology

We were on a panel of experts formed to discuss the economic challenges and opportunities of emerging technologies like machine learning.

Reaction: McKinsey on AI, Jobs and Workforce Automation

They say change is the only constant in life, but experts say companies aren't making the right organizational changes to achieve ROI from machine learning.

New Employee Spotlight: Stephen Steen

Meet our new VP of Sales, Stephen Steen, who specializes in energy, supply chain and internet of things industries.

Dynamic Nginx Proxy Registration

How do you deal with not knowing servers ahead of time when configuring nginx? One way is dynamic proxy registration.

Columbus Smart City Hackathon

Read about our data scientist's Smart City app idea called Get Me There that uses data to reserve parking spaces, prepay for parking and more.

Stir Trek 2017 Recap

We're back in the office after a crazy Friday at Stir Trek. Who knew meeting and talking to developers all day about our API could be so much fun?

Come See Us at Stir Trek

It's our first time at Stir Trek so stop by Booth 15 for a chance to win cool prizes like a COZMO robot. You can't miss the hot pink brains!

NES Game Development with Pillar

Evan talks about his latest TechLife Columbus meetup on game development, hardware, graphics and audio.

Forecasting With Bayesian Structural Time Series and Prophet

Joe explains some of the math behind machine learning and what our API automates.

Automatic Deployment of Let's Encrypt SSL/TLS Certificates on Azure App Gateway

Our Chief Technology Officer discusses the automatic deployment of Let's Encrypt SSL/TLS Certificates on Azure App Gateway.

Machine Learning for the Non-Technical

Our Head of Customer Success, Leah Sevey, breaks down machine learning for the non-technical readers out there.

The Frontier Conference 2017 Recap

The Frontier Conference was a phenomenal gathering of industrial innovations that are transforming the world and we were happy to be part of it.

Azure ARM Deployment of Docker

Our Head of Engineering discusses reasons for using Docker on individual virtual machines and how to do it with Azure ARM templates.

Why We Love Standing Desks

Stand up if you love standing desks like us. Our team shares why it can't live without them.

Machine Learning and Superforecasting

Machine learning should be in every forecaster's toolkit because we don't all have the time and patience needed to become superforecasters.

What I Learned From Girl Develop It: Just Do It

Learning a new technology or programming language takes grit and a self-starter attitude.

Developing Software at a Startup

Our Head of Engineering, Jeff Gabriel, weighs in on the importance of having the right team, the Kanban methodology and user stories.

Forecasting With Exponential Smoothing, ARIMA and Regression

Ryan, one of our data scientists, explains triple exponential smoothing, ARIMA and multiple linear regression.

GiveBackHack Columbus Recap

When developers, designers and other community members brainstorm for a weekend, cool things happen.

Mastering the Give and Take of Community

Developers pretty much wrote the book on community engagement. First rule: it's a two way street.

Leverage ML to Understand Marketing Impact

Our prediction is that machine learning will be integral to promotion planning. See why.

Use Automation to Make the Most of Your Day

Life is short. Make your days more productive by automating mundane tasks.

What Kids Can Do to Get Ahead in Technology

We developed a list of cool (at least we think so) activities and tools that help kids get ahead in technology.

What's Hidden in Your POS Data?

A scantily staffed store floor during an unexpected lunch rush never goes well. Insights in your POS data can help you schedule more efficiently.

Reaction: Even with AI, People Are Still the Driving Force of Innovation

Artificial intelligence can't thrive without humans. Consumers are now smarter about technology and social impact, which is changing the way we innovate.

Reaction: Artificial Intelligence Completed 360,000 Hours of Finance Work in Just Seconds

If you're like us, you look at the clock on Mondays and wonder where the time went. Get that time back with artificial intelligence.

Reaction: 59 Impressive Things AI Can Do Today

Too many cucumbers? No problem. Artificial intelligence can sort them for you and do a bunch of other things you'd never suspect.

Synopsis: Understanding the Differences Between AI, Machine Learning and Deep Learning

Impress your co-workers by learning the differences between artificial intelligence, machine learning and deep learning.

Nexosis is building automation into their move to Microsoft Azure

Startup company Nexosis is looking to optimize the time a new feature takes going from ideation and into their customers’ hands.

New Employee Spotlight: Joe Volzer

We're growing and proud to introduce you to Joe Volzer, our newest Data Scientist.

2017 Nexosis Hackathon

What moves the needle for your business? We hack.

Why Aren't There More Women in Technology?

When women work, they invest on average 90% of their income back into their families. Imagine the possibilities if more women were coding today.

SaaStr Annual 2017 Recap

Some of the Nexosis team and 10,000 other software professionals made the trip out to San Francisco to attend SaaStr Annual 2017. Read what we learned.

A Sit Down with Marketing

Without marketing no one would know what Nexosis does. I spoke to the brain behind the operation, Eric Dunne, about what he does all day and why he loves it.

The Importance of Your Inventory-to-Sales Ratio

The inventory-to-sales ratio is a key performance indicator of whether or not inventory is overstocked. How do you stack up against these retail averages?

Analytics Buzzwords Debunked

Artificial intelligence and business intelligence are the same thing, right? Nope. We want to set the record straight.

A Sit Down with Engineering

We sat down with our engineers and found out more about their day-to-day and what makes them love what they do.

Key Takeaways from the 2017 National Retail Federation Convention & Expo

The 2017 National Retail Federation Convention was so big that it took us nearly a week to summarize our notes. Here are our key takeaways.

Talk Like a Data Scientist eBook

Download Nexosis' free eBook, Talk Like a Data Scientist. Learn basic machine learning concepts and realize the potential it has to drive profitability.

What are Autoregressive Models?

Autoregressive models are a fundamental class of time series models.

Target + Techstars Open Applications for Second Wave of Startups after Year-One Success

On the heels of the successful first Target + Techstars retail accelerator, we opened applications for a second round of the program yesterday.

What is Trend?

Discovering trends in data is crucial for making accurate forecasts.

What is Seasonality?

Seasonality affects our purchase patterns. Learn how we detect it and why it matters.

The Bias & Variance Trade-off

Our data scientist breaks down what makes a good model and how to avoid two sources of error.

Tech startup sees lots of opportunities ahead

One of Westerville's most rapidly growing companies is preparing for even more expansion, thanks to a multimillion-dollar bump in funding.

What is MAPE?

What's MAPE? Find out with our data scientist as he explains what it is and why it's important.

Nexosis Closes $5 Million Seed Funding Round

Nexosis has closed its latest round of funding. Revel Partners led the round and was joined by Techstars Ventures and iNovia Capital.

What Is Time Series Data?

What is time series data and why is it so important to choose the right model?

No Ohio VC firms invested in Nexosis' $5M round – here's why founder says that's good for Ohio

All five venture funds that invested in the $5 million round that Nexosis Inc. closed last week are from outside Ohio and that's good for Ohio.

Retail forecasting startup Nexosis raises another $5M

Nexosis Inc., a data analytics startup that helps retailers and restaurants forecast how much inventory to stock has closed a $5 million seed round.

The Accidental Startup

Nexosis' founders give a little history lesson about how we started.

What Are Residuals?

What's residual and what's an error? Find out with a data scientist as he explains the difference and why it matters.

A Sit Down with Customer Success

We sat down with Leah Sevey to hear first hand how she creates success for our company and customers.

Top 50 Retail Tech Startups Worldwide

Insider Trends pulled together a list of the top 50 retail tech startups in the world right now.

What is a Linear Model?

Our data scientist dons his nerd hat and explains linear models and when and why to use them.

What is Regression?

Our data scientist explains regression and what it's good for.

Sitting Down with Data (Scientists)

We sat down with our data scientists and found out more about their day-to-day and what makes them love what they do.

Training Set vs. Test Set

Our data scientist discusses the differences between training and test sets and why it matters.

Cincinnati hosts 2016 FounderCon, Highlights Ohio’s Growing Startup Scene

More than 600 entrepreneurs from across the country converged in Cincinnati for the sixth annual FounderCon, put on by Techstars business accelerator.

Machine Learning for All

Our first, proud steps to democratizing machine learning…

Columbus entrepreneurs must be 'absolute driving force' of ecosystem, startup founder says

Nexosis co-founder is joining the chorus calling for more leadership from Central Ohio entrepreneurs to support and grow the startup community.

Why Machine Learning Matters

Learn how machine learning works and why it matters.

How startup accelerators made the difference for four Columbus companies

Four Central Ohio entrepreneurs who graduated this fall from out-of-state accelerators poised for success.

Techstars: Summary

A quick summary of what Nexosis learned at Techstars this summer.

What is Causal Inference?

Our data scientist defines and explains what causal inference is and why it matters not only to machine learning but to your business.

Uncovering the Effect of a Promotion

A group of franchisees were taking part in a national promotional campaign but were unable to determine if the promotion was working and by how much.

Five Takeaways From The First Target + Techstars' Demo Day

Target + Techstars startups focused on some of the most important areas of business today: big data, experiential retail, the Internet of Things, bots, SaaS, machine learning, artificial intelligence and healthy foods.

Video: Our Demo Day Pitch

Watch the video of our demo day pitch.

Review: Target Techstars Demo Day

The Fung Global Retail & Technology team attended the first Target + Techstars Demo Day. Each company founder presented to entrepreneurs, investors, and media.

Startups Make the Pitch of a Lifetime: Your Peek Inside Target + Techstars’ Demo Day

Eleven startups—dreamers, doers, and makers—took the stage in front of nearly 1,000 people for Demo Day for the Target + Techstars Retail Accelerator.

Target's first tech incubator with Techstars already hatching tangible results

Target Corp.’s first experiment in sponsoring a tech incubator has already produced tangible results.

Westerville Machine Learning Start-up Completes Retail Accelerator

Nexosis concludes three-month accelerator; announces private beta launch and direct integration with eCommerce platform Shopify.

Techstars: Demo Day Awaits

Techstars Demo Day is upon us. We look forward to the future and a big announcement with thankfulness for how we got here.

Techstars: Week 12

Techstars Week 12 meant not enough time, BBQ, and Mall of America.

Techstars: Week 11

Week 11 at Techstars brought pitch practice, the Canadians, and dark circles under our eyes.

Techstars: Week 10

Week 10 of Techstars brought panic, Seth Levine and Brad Feld, Target mingling and a boat!

Techstars: Week 9

Nexosis gets friendly with PowerPoint, the other Techstars teams and endless spreadsheets.

Give First, Get Surprised

Nexosis' CEO, Ryan Sevey, talks about the surprising part of the Give First mantra.

Techstars: Week 8

Nexosis learns to schedule pilots, proof of concepts, and partnerships, as well as why giving back first works.

Techstars: Week 7

Nexosis learns to not dance, love ice cream, meet the mayor, and sit through baseball.

Techstars: Week 6

Nexosis is halfway done with Techstars and that means meetings and mayhem as we count down to Demo Day.

Techstars: Week 5

Nexosis on the move, on the phone, with sponsors and investors.

Techstars: Week 4

Nexosis rediscovers purpose, hits the Mississippi, hosts some shindigs and gets the once over from the Target people.

Techstars: Week 3

Nexosis throws a party. Mentors, mentors and more mentors. A bad pun at the end.

Techstars: Week 2

Mentor madness begins. Nexosis arrives in style. We meet with many people. We eat ice cream. We sit int he hot tub.

Increasing forecast accuracy to boost revenue by over $300,000

Independent Pepsi bottling company boosts revenue by $300,000 by partnering with Nexosis for increased forecasting accuracy.

Techstars: Week 1

Brief musing on what we are learning about at Techstars this week.

Daily store-level sales predictions with a 94.4% certainty

Zipscene partnered with Nexosis to uncover daily store-level sales predictions with a 94.4% certainty

Company makes list for accelerator

A Westerville technology company could be in for rapid growth after being chosen as one of just 10 companies in Target's Techstars Accelerator.

Target picks Westerville data mining startup for retail tech accelerator

Nexosis is spending the summer in Minneapolis in the first Target + Techstars retail accelerator program, which provides mentors to help grow businesses.

Announcing the 2016 Class of Techstars Retail, in Partnership with Target in Minneapolis

Announcing the 2016 Class of Techstars Retail, in Partnership with Target in Minneapolis

Tech Talk: Nexosis plans to solve a trillion-dollar problem

Westerville-based startup Nexosis is trying to solve a trillion-dollar problem globally when it comes to waste from overstock and need from understock.

Nexosis Helps Businesses Make Smart Decisions

Nexosis is using machine learning to reduce these errors before they happen, helping make businesses smarter with more accurate demand forecasting.

Nexosis: From Idea to Concept Academy to Customers in Less Than 6 Months

Nexosis founders’ know-how and research, with a small touch of good fortune, accelerate the company’s success.