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.
Every Monday morning, CloudFactory hosts team meetings in each of our locations around the world: the U.S., UK, Nepal, and Kenya. Last week, our founder and CEO, Mark Sears, joined us from the UK to share a special message: Every single worker is important to our mission and, while it doesn’t always make good business sense to stop to assist someone else in need, it pays off in the long run by creating stronger relationships with CloudFactory workers and the people in our communities.
AI Creates New Jobs and Titles for Workers
If NASA’s recruitment for a planetary protection officer teaches us anything, it’s that interesting job titles are a sign of the times. We are just beginning to feel the impact of automation and artificial intelligence in the workplace, and we can expect that impact to grow as AI matures. Instead of being a job taker as many suspected, it’s shaping up to be a job creator.
Everyday wild tales are told about the implications of AI. It seems everyone has an opinion, and more questions are raised than answered. Will we be forced, one day, to swear fealty to our robot overlords? Is the hype completely overblown? Or, is the truth somewhere in the middle? Probably. After all, equivocation is the safest space for amateur prognosticators, knowing full well it provides nothing in the way of clarity.