It’s their least favorite part of the job, yet it consumes most of their time. Data wrangling – or gathering and preparing dirty data so it can be used in critical business applications – is the biggest problem in data science today, according to a Kaggle survey. So how can you get clean, structured data you can trust?
For all of artificial intelligence’s promises, we still need humans in the loop to make it all possible. Humans collect, enrich, clean, and prepare data for AI systems to operate with optimal accuracy.
The world is producing data at exponential rates. By 2025, the global datasphere will include 10 times the amount of data generated last year alone, according to IDC’s Data Age 2025. All of this data generation compounds an already common problem: “dirty data.”
Data is today’s gold, representing huge potential value for businesses. By analyzing lots of data, you can discover patterns that can help you introduce efficiency, make smarter decisions, innovate products, and reduce operational liabilities like cost and risk. By using hidden data, you can transform your business or disrupt an industry by using available data to solve a painful problem.
This week’s episode of the popular podcast “Hack the Entrepreneur” featured CloudFactory founder and CEO Mark Sears, who shares something an executive told him early in his career that he never forgot.
We think of AI as brand-new technology, but is it? If you dig into its history, you’ll find that artificial intelligence has existed for more than 60 years. In fact, the term artificial intelligence was coined in 1956 by computer scientist and professor of mathematics John McCarthy at Dartmouth College.
Artificial intelligence is not new technology but it is just now finally taking off. Why now, and how are businesses using it? What are the challenges to implementation? In our new white paper, Humans in the AI Tech Stack, we explore AI trends, the importance of choosing the right tools, and how to strategically deploy people in your tech-and-human stack.
It’s great to get out of the office and bond with your co-workers. And why not do it 30 feet in the air, moving at about 40 miles per hour?
We’re incredibly excited to announce a $7.3 million Series B round from prominent impact investors including Dolma Impact Fund and The Social Entrepreneurs' Fund. The investment comes after the successful launch of WorkStreams™, which provide fast-growing companies an alternative to the stagnant outsourcing and dubious crowdsourcing options currently available.
This is a guest post by Lauren Maffeo. Lauren loves travel, running, and the written word. She oversees content strategy at Aha! -- the world's #1 product roadmap software. Previously, she has earned bylines as a contributing writer to The Next Web, The Guardian, Mic, and more. Her work has been cited by The Atlantic, Huffington Post, and the textbook, "Digital Innovations for Mass Communications: Engaging the User".
Last month, I spoke on a panel hosted by Tech in Motion in Washington, D.C. The panel discussed a year-in-review of 2014 tech news and made predictions for 2015. We reviewed themes including regulation, cybersecurity, and emerging technology. It was apparent that technology's pace is hard to keep up with -- and that software permeates it all.