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.
Artificial intelligence (AI) is changing the way we work and live. At CloudFactory, our customers use data to train and optimize algorithms that power AI-powered products and services. We’ve worked on everything from AI for self-driving cars to political campaigns. Our work has shown us that the power of AI is limited only by the imagination of the humans who design the systems it powers.
The exponential growth of connectivity and technology are changing the workforce. The organization of the future is a “network of teams” connected by technology, but there’s a learning curve for executives on how to get there, according to Deloitte’s 2017 Global Human Capital Report. Most of the executives who responded to the survey pointed to building the organization of the future as the most important challenge for 2017. Yet, few are prepared to leverage the “new human models,” including contingent labor or outsourcing, that they’ll need to build it.
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?
Experts disagree on where artificial intelligence (AI), automation, cloud computing, and machine learning are taking us in the future. And whether you believe machines will take over the world or that humans always will have control over technology, one thing is certain – we’re in for change.