Hearing the classic startup story arc is immensely satisfying. From the discovery of a niche pain point, to constraint-born innovation, to the realization that the solution is scalable to a range of other use cases. Katerina Axelsson, founder and CEO of Tastry, joins us on AI at Work to share exactly that type of story with us. Tastry is a SaaS and insights company whose innovation spans machine learning, analytical chemistry, and flavor chemistry, delivering highly accurate predictions on how sensory-based products - wine, beverages, food, and fine fragrances - will be received by consumers.
When a customer contacts your support team, the goal should always be "first call resolution," which is the insider term for "making sure the customer's problem gets solved quickly so you don't have to call them back later." New customer service automation tools can help make first call resolution the rule, rather than the exception -- even for complex customer support cases.
Don't miss this week's episode of AI at Work! Rob May interviewed Jeetu Patel, Chief Product Officer at Box, the Cloud Content Management company that empowers enterprises to revolutionize how they work by securely connecting their people, information and applications.
Topics: AI at Work
Where do you work in a day? It’s probably not a short or simple answer. Support teams are constantly jumping between email, chat, ticketing systems, an internal knowledge base, and many other places. What they don’t need is another tab open. That’s why having Talla everywhere is so important to us. What does that really mean? Simply put, users have access to all of the information in Talla wherever they work. We want to improve your productivity and lower your time to resolution with AI-powered automation. The best way to do that is to ensure that Talla works within your existing workflows.
Something we talk about on AI at Work is a debate around whether AI is a fundamentally different type of technology from the viewpoint of competitive dynamics. Previously, when a new software was launched, it might have made sense to wait until a few rounds of updates had passed and all of the bugs had been worked out before adopting the new technology. Waiting to implement the newer advances wouldn’t mean you would be left behind or at a disadvantage compared to those who had embraced them early on.
Topics: AI at Work
Artificial intelligence is powered by well annotated training data, but the data you need to train a customer support assistant includes more information than you might expect. The "tribal knowledge" of your customer support teams is critical to developing a customer service AI agent that can most effectively help your business.
We've all had interactions with clunky or incoherent chatbots that made their owners look dumb, but few companies know what steps to take to ensure their own bots don't make the same mistakes. Before you entrust a chatbot to help with customer service and support, make sure you've given it the tools it needs to avoid embarrassing itself.
Previously, we shared five things support leaders must do when bringing automation into their business. But modernizing support also means avoiding certain pitfalls. By building awareness of these, leaders improve their chance of a successful transformation initiative. They’ll reduce inefficiencies and get the most value out of their people, dollars and customer interactions.
When you’re investing, knowing the forecast of future trends is essential. On Episode 28 of AI at Work, James Cham of Bloomberg Beta joins us to share four top insights on investing in the future of work.We’ll cover how the tech business model landscape may soon be shifting in the wake of AI, strategies for adopting AI and emerging as an AI leader, and a glimpse into the paradox of why the real experts on automation m ay not be willing to share their secrets, yet.
Topics: AI at Work
Last month, we were excited to announce Talla’s Learning Dashboard, a report-card-like view to show Talla’s learning. Our customers are loving it, and today we’re going to take a look at some of their favorite things that the learning dashboard measures.