Human in the Loop: Accelerating the AI Lifecycle

Human in the Loop: Accelerating the AI LifecycleStrategically Applying People in HITL Machine Learning

Humans in the loop can make or break AI success. Here’s how to apply people strategically to improve data quality and accelerate the AI lifecycle.

 

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Client Story

Ocuvera

Ocuvera meets its human-centric mission faster with CloudFactory, resulting in an 89% reduction in unassisted bed exits.

Ebook

The Ultimate Guide to Natural Language Processing (NLP)

Interested in natural language processing? Empower yourself with knowledge about emerging use cases, development and annotation techniques, and managed data labeling workforces.

Client Story

Allvision

Spatial AI innovator Allvision meets its ambitious smart city GTM mission 8x faster thanks to our flexible partnership.

Ebook

AI + Humans: The Future of Insurance

Discover how AI and machine learning are advancing the insurance industry from sales to underwriting to claims processing. You’ll also get a first-hand glimpse into ten insurers and insurtech companies that are digitizing, modernizing, and innovating at scale.

Infographic

10 Questions To Ask an AV Workforce Partner for Safer AV Models

Selecting the right workforce partner is key to optimizing your data pipelines and executing safe, reliable AV models. Ask these 10 critical questions during your evaluations.

Client Story

LineVision

Expert annotations help an asset management platform open capacity on congested power lines and boost grid reliability.

Ebook

Tired of Data Prep? How to Scale Precision Agriculture Insights with High-Quality Data

Discover safer, faster, lower-cost, and innovative ways of working. We also share what we've learned from working with leading precision agtech companies, including scalable data prep and labeling.

Client Story

Compound Eye

CloudFactory image annotation helps Compound Eye release its disruptive, camera-based AV technology into the world.

Infographic

5 Ways AI is Making Drone Delivery Possible

There are five key areas where adding autonomy to drones will enable you to address regulatory hurdles, scale delivery operations, and conduct safe deliveries and landings.

Webinar

Agritecture & Computer Vision Raise the Bar for Sustainable Hops Farming

Learn how Agritecture, Asahi, and Microsoft help Czech hops farmers fight climate change using computer vision and technology.

Infographic

Levels of Driving Automation: When is AI Applied?

Automation doesn’t always mean AI when it comes to autonomous vehicles. Learn how the levels of driving automation are determined by the presence of automated driving systems (ADS) with AI technology or automated driving assistance systems (ADAS).

Ebook

Optimizing Data Pipelines Using Multiple Workforces: An ebook for Autonomous Vehicle Technology Professionals

Data quality and workforce strategy can make or break the success of your autonomous vehicle project. This guide will show you how to optimize your AV data pipeline using multiple workforces to launch safe, reliable autonomous driving models.

Infographic

Why Using Physicians for Medical AI Data Labeling is a Big Mistake

Busy physicians shouldn't do tedious data labeling work for medical AI projects. Here’s how much this mistake might cost you.

Ebook

Smart Retail Operations with AI, Robotics, and Automation

Learn how image and video annotation helps retailers produce high-quality robotics and autonomous solutions for in-store, warehouse, and delivery.

Infographic

4 Ways Perception and Data Processing Are Improving Drone Inspection

Perception and data processing enhances drone inspections by powering automated navigation, digital twin creation, post-processing data, and real-time data processing.

Client Story

Pathr.ai

Pathr.ai helps retailers understand shopper behavior to improve sales and operations.

Webinar

Drone Inspection - Building a Scalable and Efficient Data Pipeline for Today and Tomorrow

In this webinar, a panel of drone tech pioneers talks about how AI and computer vision, backed by high-quality data, is shaping the future of drone inspections.

Ebook

Computer Vision & Smart Retail: Accelerate AI Innovation at Scale

Retail AI is booming. Learn how computer vision and AI are revolutionizing in-store and fulfillment experiences for retail customers and employees.

Workbook

Vendor Selection Scorecard for Outsourced Data Processing

Given all the variables at play, choosing a managed workforce that meets your criteria can be a daunting task. Use this fillable Scorecard as you research potential partners.

Infographic

Without quality, what's the point? (A resource for the finance industry)

When it comes to your data processing practice, quality is NOT optional. It affects accuracy, speed, and value—in big ways. For the highest possible data quality, follow our proven 4-Part Quality Management Framework.

Client Story

Matterport

With CloudFactory image annotation, Matterport can focus on helping customers create interactive 3-D digital twins

Ebook

Medical AI Breakthroughs: How High-Quality Data is Transforming Healthcare and Medicine

Medical advancements depend on data and artificial intelligence. How do you prepare image and video data for diagnostics, robotics, research, and more? Find out in this guide.

Client Story

Tractor Zoom

With CloudFactory data enrichment, agtech company Tractor Zoom has grown from advertising $2B to $5B in assets annually.

Ebook

Data Labeling & Human-in-the-Loop: The Next Medical AI Breakthrough

Explore the challenges and opportunities in developing computer vision solutions for healthcare including annotation tools, data labeling workforces, and medical AI use cases.

Whitepaper

Outsourced Data Processing: A Quality Management Framework for the Finance Industry

This paper details a four-part quality management framework to ensure high-quality processing of financial data and documents, whether you outsource or do the work in-house.

Ebook

The Essential Guide to Applying AI to the Drone Delivery Ecosystem

Adding AI and computer vision backed by high-quality data will improve drone safety and reliability. This guide will show you how applying AI to drone delivery operations will address regulatory hurdles and help you scale quickly.

Webinar

Maximizing Data Labeling Operations in High-Stakes Industries

V7 Labs’ Alberto Rizzoli and CloudFactory’s Keith McCormick discuss overcoming data annotation challenges like scaling teams, labeling complex data, and handling edge cases.

Client Story

Sartorius

Sartorius came to CloudFactory to speed the development of large training datasets for its machine learning models.

Webinar

Human in the Loop Machine Learning: What a Veteran Data Scientist Wishes You Knew

In this webinar, we explore the definition, benefits, and use cases for human in the loop (HITL) machine learning from the perspective of seasoned data science practitioners.

Client Story

Sylvera

Sylvera came to CloudFactory for a customized annotation solution to make sure carbon-offsetting projects live up to their claims.

Webinar

A Chat with Smart Cities Expert and Author, Jonathan Reichental

Keith McCormick and Jonathan Reichental discuss smart cities, the data they collect, and the impact of AI technology like autonomous vehicles.

Webinar

A Chat with the World’s First Chief Data Officer, Usama Fayyad

Keith McCormick and Usama Fayyad discuss autonomous vehicles, deep learning, NLP, and the future of data science in this on-demand webinar.

Webinar

A Chat with Human in the Loop Expert and Author, Robert Monarch

Interested in humans in the loop machine learning? Watch a replay of Keith McCormick and Robert Monarch’s discussion about HITL, workforce options, ethics, and active learning.

Client Story

Nearmap | Roof Geometry

A geospatial mapping company turned to CloudFactory for help to scale a new roof geometry business.

Client Story

AMP Robotics

Recycling tech company turned to CloudFactory when its growth outpaced internal capacity to annotate quality data.

Webinar

Optimize ROI for RPA with Strategic Outsourcing

Now is the time to implement robotic process automation (RPA). We discuss maximizing ROI, workforce decisions, and exception processing with Ian Barkin of SYKES.

Client Story

Nearmap | AI

Geospatial mapping company turned to CloudFactory to take over its data labeling function and scale operations.

Client Story

Zyte

Web scraping technology company turned to CloudFactory to speed up development of a new scraping tool.

 

Webinar

Decision Management: Business Rules and Machine Learning

How should you combine your predictive models with existing business rules? Watch this discussion with James Taylor, CEO of Decision Management Solutions to learn how to optimize ML outcomes.

Webinar

Maximizing ROI for Machine Learning

How can humans in the loop help optimize machine learning outcomes? Hear from ML experts CloudFactory's Keith McCormick and Dean Abbott, Chief Data Scientist at SmarterHQ.

 
 

Ebook

Finding the Best Data Entry Services

Data entry services can assist with high-volume, time-consuming, and quality-sensitive data transcription, cleansing, and enrichment work. Learn about data entry, common use cases, workforce options, and the challenges of data entry at scale.

Client Story

FestiVote

FestiVote turned to CloudFactory to get the data they needed to launch their groundbreaking app.

Client Story

Geckomatics

Geckomatics turned to CloudFactory to help scale their cost-effective solution to more customers around the world.

Client Story

Scholars App

Scholars App turned to CloudFactory to build and vet their scholarship database and expand their users.

Webinar

The Future of Human-powered Data Annotation

Data annotation is seeing advances such as using AI and automation that seemingly promise to eliminate the need for human-powered labeling. This panel explores the future of humans-in-the-loop data annotation and what role your labeling workforce will play in the years to come.

Client Story

True Lark

True Lark turned to CloudFactory to help them scale data tagging for development of a robust customer communication solution.

Ebook

The Essential Guide to Computer Vision

Computer vision models require a massive amount of data to learn and stay current. It takes upwards of 800 hours to annotate one hour of video training data and you certainly don’t want to choose the wrong techniques or workforce to annotate that data. This guide will help you make good choices about data annotation for computer vision.

Webinar

Building Your Next Machine Learning Data Set

Gathering an initial data set for your machine learning project is the first hurdle on the path to a successful ML algorithm. CloudFactory and Keymakr discuss the attributes of an ideal data set, the pros and cons of using a pre-created data set, and best practices for building your own.

Infographic

6 Key Features of Data Annotation Tools

Some data annotation tools won't be a good fit for your AI and machine learning project. Keep these six important features in mind as you evaluate tool providers.

Client Story

Farming for the Future

Learn how CloudFactory helped Hummingbird Technologies develop crop analytics for farmers around the world.

Ebook

Growing Your Platform Business With Outsourcing

Are you interested in growing your platform’s user base, cleaning up your database, or innovating through automation and AI? This guide explains how outsourcing can help accelerate your platform growth.

Client Story

Luminar

CloudFactory helped Luminar launch a product that dramatically increases autonomous vehicle perception.

Report

Data Engineering, Preparation, and Labeling for AI 2019

The big challenge for organizations looking to make use of advanced machine learning is getting access to large volumes of clean, accurate, complete, and well-labeled data to train ML models. AI analyst firm Cognilytica explores the race to usable data and evaluates the requirements for solutions that clean, augment, and annotate data for AI.

Ebook

Image Annotation for Computer Vision

Machine learning is often fueled by image data. In this guide, learn the basics about image annotation, common techniques, and key workforce considerations.

Webinar

Data Prep: What Data Scientists Wish You Knew

CloudFactory’s Paul Christianson and Infinia ML data scientist Ben Schneller discuss what data scientists wish you knew about preparing your data for AI projects, data readiness strategies, and high-quality training data annotation at scale.

Ebook

Data Annotation Tools for Machine Learning

Selecting the right tool to annotate your data can save you time, money, and frustration. This guide will help you choose the best data annotation tools for your machine learning project.

Webinar

5 QA Methods to Win the Race to Quality Data

The end goal for every data labeling project is quality data - but how do you get there? There are several QA workflow types but each has pros and cons when it comes to the quality and speed of data outputs. In this panel discussion, we will explore 5 quality assurance workflows for data labeling including tooling, staffing, and how each workflow affects throughput and data quality.

Ebook

The Essential Guide to Quality Training Data

Are you training machine learning algorithms or planning to scale your team's training data operations? Here are some tips to ensure your people, processes, and tools produce quality training data.

Client Story

Sensor-as-a-Service Company

Sensor-as-a-service start-up finally finds an annotation solution that can help them expand.

Client Story

Heretik

Heretik wanted to make legal contract review less tedious so they created an AI-fueled solution. Learn how CloudFactory helped bring their software to life.

Ebook

The Outsourcers' Guide to Quality

Data quality is vital when creating reliable algorithms. For companies looking for a solution that equals the quality of their in-house team, it can seem as though outsourcing is an impossible option. Have no fear. This eBook will help you predict the level of quality you can expect from a data labeling provider.

Client Story

Disrupting the Legal Space with AI

Learn how CloudFactory helped Heretik train their AI models and disrupt the legal industry by streamlining the contract review process.

Infographic

Crowdsourced Workers vs. Managed Workers

Data scientists at Hivemind created 3 identical tasks and hired two teams to complete them. How did crowdsourced workers and a managed workforce differ in terms of accuracy, speed, and effective cost?

Client Story

Bizly

Bizly found the perfect workforce to help it expand its event planning platform to over 18,000 venues.

Infographic

5 Qualities in Good Data Labeling Vendors

Not all outsourced data labeling partners are a good fit for every machine learning project. Here are 5 things you need to consider before, during, and after vendor evaluations.

Infographic

Why Using Data Scientists for Data Labeling is a Big Mistake

Your in-house data scientists shouldn't be doing tedious data labeling work for machine learning projects. They should be focusing on more important innovation. How much might it cost for a data scientist to annotate a one-hour video?

Ebook

The Ultimate Guide to Data Labeling

Free up your data scientists for more important work by outsourcing data preparation for your AI and machine learning projects. Here's a helpful guide to choosing the right data labeling workforce, processes, and tools.

Workbook

20 Critical Questions to Ask Data Labeling Providers

When you’re creating high-performing machine learning models, you need quality, labeled data...and lots of it. Getting it can be a challenge. A growing number of innovators are outsourcing data labeling operations so their teams can focus on strategy and innovation. Choosing a data labeling partner is an important decision that can affect your model performance and speed to market. Here’s what you need to ask when you’re looking for a data labeling service.

Infographic

In-House vs. Managed Workforce Data Labeling Partner

It takes a lot of time and resources to prepare and label data. Learn why outsourcing the data preparation to a managed workforce partner is a good business decision and how in-house responsibilities will shift when you outsource the work.

Infographic

3 Signs a Data Labeling Provider will Deliver Quality Data

The people, processes, and tools used by outsourced data labeling partners make a big difference in final data quality. Here are 3 signs that you'll receive quality work from your data partners.

Infographic

6 Ways Some Data Labeling Providers Put Your Data Quality at Risk

The level of data quality you'll receive from data labeling providers depends on several workforce, QA, and tooling factors. Here are 6 ways *some* data labeling providers put your data quality at risk.

Client Story

Medical AI Company

Medical AI company stays ahead of the curve by labeling 24,000 images in 6 months.

Client Story

Insurance Company

An insurance company expanded their business with the help of a dedicated cloud team that handles upfront data processing needs.

Webinar

Choosing the Right Data Labeling Partner

It takes a mountain of data to train, test, and build machine learning algorithms and AI projects. You may be considering hiring a data labeling service to take the burden off your in-house data scientists and machine learning engineers. But what does that entail? Watch the webinar to learn what you need to know before hiring a data labeling service.

Webinar

Win the Race to Market

Developing high-performance deep learning models for computer vision requires a strategic combination of people, tools, and processes in pre-production. Watch the webinar to learn how to streamline your data labeling and experimentation process to accelerate your ML training and your time to market.

Client Story

Financial Services Company

Financial services company leveraged a managed workforce to improve turnaround time from days to just minutes with 99% accuracy.

Report

Crowd vs. Managed Team

Data scientists at Hivemind tested CloudFactory’s managed workforce and a leading crowdsourcing platform’s anonymous workers to complete a series of the same tasks, ranging from basic to more complicated, to determine which team delivered the highest-quality structured datasets and at what relative cost.

Client Story

Partnering on Quality Training Data and Social Impact

Azavea interviewed a handful of leading data labeling firms, and studiously compared their pricing, approach, and cultural values. Learn why CloudFactory stood out.

Whitepaper

Scaling Quality Training Data

If you need people to process some portion of the big data that feeds your artificial intelligence, you need a reliable workforce. You’re not alone: more businesses are using in-house staff, contractors, and crowdsourcing to get this kind of work done, and industry analysts expect that trend to increase significantly over the next two years.

Client Story

Ibotta

Ibotta finds the people and technology to scale a data-verification process during the busiest retail season of the year.

Webinar

Anonymous Crowd vs. Managed Team

Data-science tech developer Hivemind designed a quantitative experiment to determine which type of workforce completed a series of increasingly complex tasks to deliver the highest-quality structured datasets. Watch the webinar to learn which workforce performed better.

Whitepaper

Humans in the AI Tech Stack

Artificial intelligence is finally taking off. Why now, and how are businesses using it? What are the challenges to implemention? In this white paper, we explore AI trends, the importance of choosing the right tools, and how to strategically deploy people in your tech-and-human stack.

Ebook

Solving the Dirty Data Problem

Data is today’s gold, representing huge potential value for businesses. By analyzing data, you can discover patterns that can help you make smarter decisions, improve products, and disrupt entire industries. Download our guide to solve the dirty data problem.

Ebook

The On-Demand Blueprint

Hiring on-demand is the new way of getting work done. You might be playing catch-up later if you don’t participate now. Learn how businesses are leveraging the on-demand economy as a strategic competitive advantage.