Talla Company Blog

From chatbots invigorating customer service, to self-driving taxis, to medicine-delivering drones, the applications of AI are dazzling. Behind each company pushing forward a brilliant AI innovation, there stands a strong data science team. That’s exactly what Fusemachines focuses on: offering AI engineers to companies interested in building AI systems.

A large portion of your customer service team's workload involves documenting problems and their eventual resolutions -- often to the point that the documentation process can impede customer service. New automation tools can now help take the documentation workload off your customer service teams so they can focus on the customer, rather than their real or virtual paperwork.

Customer service is no longer limited to just answering phone calls or emails; social media, online chat, SMS text messaging, and in-app communications all require monitoring to ensure no customer complaints or issues goes unanswered or unresolved. Fortunately, new automation and artificial intelligence tools can help customer support teams stay on top of call volume in a multi-channel service environment.

Today, Gravyty is a Boston-based artificial intelligence company developing self-writing emails to revolutionize frontline fundraising at nonprofit organizations. What do self-writing emails mean for fundraisers? Well, not only can Gravyty predict which donors are most important for the fundraisers to reach out to, but they can also self-write the next draft of an email to that donor.

Customer service teams face a number of all-too-common workflow issues that can impede their ability to actually serve customers, but new automation and artificial intelligence solutions can now help customer service avoid becoming overwhelmed. The first and perhaps most important area that automation can help customer service is in managing call volume.

We’ve written about how AI use is expanding across the enterprise and early-adopters are leaving the competition behind.

We’ve shared how AI is a superpower for customer support execs facing the daunting task of delivering scaled, personal and cost-effective support.

In an advancing digital-first world, customer support’s business imperative is a tough one: deliver customer satisfaction that can scale across thousands or millions of interactions at significantly lower cost. Trying to achieve this with a “business as usual” approach won’t work. But by unleashing AI and automation in their businesses, customer support executives can actually deliver on this.

Machines are learning to see. In the field of computer vision, AI is making leaps in image recognition, powering exciting advances such as the cashier-less retail experience. On Episode 21 of AI at Work, we spoke with Matt Scott - CTO and co-founder at Malong Technologies - about product AI applications, the evolution of computer vision, an innovative and highly effective new approach to supervised learning, and why staying at the forefront of AI means cross-company collaboration.