When we conducted our survey of top AI in the movies, we didn't include HAL 9000. You may think it's an oversight, but really it's that HAL is such an icon that it would be almost unfair for any other AI to compete.
Here in Massachusetts, we find ourselves surrounded by beautiful old mill buildings that act as a constant reminder of how our nation’s history is built on manufacturing. In the early days of the industrial revolution, water powered the mills that produced the products the young nation needed to move forward.
Even today, with tech companies all around us, we know that machines continue to power the world. They move us from place to place, whether that’s a car, train, airplane, or ship. They provide the power we need and till the soil to provide the food we eat.
You can hear that line in dozens of movies and it's a clear indication that a lead character spends a lot of time at a particular diner. Of course the long-time waitress (and it's almost always a waitress) knows exactly how the main character likes his eggs (and yes, it's often a "him").
Did you know employees in 44% of life sciences companies typically need to draw from 7 or more structured data sources to find answers? And when you add unstructured data to the mix, another 38% also have 7 or more unstructured data repositories where they could find possible answers? That's a lot of data silos to look through, and as much as 36% of an employee's day can be spend looking for information.
When we meet with our clients, they’re always excited to share – and we’re always excited to learn about – the many search projects they’re working on for the business groups in their organization. They’re building communication monitoring apps for their compliance and risk management groups. They’re developing self-service support applications for customer service. They’re making sure that employees can fully tap the information riches in a unified digital workplace. Our clients also share with us the pressures that they’re facing to bring out more applications, for more business groups.
Financial services companies comprise a significant portion of the Attivio client base. In fact, 8 of the world's top 10 banks work with us to address a variety of opportunities in risk and compliance, customer support, and knowledge management. Two events held last week focused on the risk and compliance scenarios and how modern, machine-learning based search can help improve investigator productivity, decrease false positives, and protect the brand.
Many roles in today’s enterprises are metrics-driven and metrics-motivated. The search architects and search platform administrators we work with are no different; they’re hungry for feedback and insights about how users are searching and what content is performing best. With Attivio’s new Search Analytics capabilities (available today), we give search architects the information they desire, in real-time and right at their fingertips.
We polled the attendees for the KMWorld webinar, The Case for Intelligent Search in Today's Enterprise, about their experience of search in their organizations, and more than half (56.5%) said they’d rate it a 1 or 2 out of 5, where five was the greatest experience. Only 13% rated their work-related search experiences 4 or 5.