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 is amazing how far technology has advanced in the last decade. Internet speeds, computing power, automation, and big data have evolved at an incredible rate. This rapid growth of speed and power has made it possible to create innovative technologies that would have seemed like science fiction just 10 years ago.
The release of two machine learning (ML) model builders have made it easier for software engineers to create and run ML models, even without specialized training.
Six years ago, we published a conversation one of our employees had with his mom about the company I’d founded the same year. Here’s a preview of the conversation I’m likely to have with my mom this holiday season about the company that has outsmarted outsourcing.
The combination of technology and startup thinking can force us to challenge long-held, collective wisdom. It’s a reality in business today that we’ve seen before, in the bestselling novel-turned-movie Moneyball, a true story about the Oakland Athletics baseball team and its general manager, Billy Beane.
It may feel like a thorn in your side: You’re creating an amazing solution to solve a common, problematic process - but your team is stymied because there are steps you can’t truly automate without human interaction with the data.
It’s actually a common problem in our increasingly data-centric world. Just ask any data scientist or software engineer who spends too much time wrangling data to improve a product or service. Or talk to a head of operations, who needs to streamline a business process to absorb seasonal shifts in sales volume. They know: Dirty data delays innovation.