On Episode 39 of AI at Work, Matt Walsh, co-founder and president of Noted Analytics, joined us to share his insights and expertise in AI and Sales.
Topics: AI at Work
Customer support leaders are generally receptive to new technology that is faster, cheaper and more reliable. What they aren’t onboard with is overhyped tech that promises everything. It’s why AI gets met with eye rolls inside some offices. No one believes there’s a panacea for every support ail. Yet everyday unscrupulous marketers boast of AI as a cure-all. Often, they don’t even have true AI, just basic scripts or data science techniques. They promise big and invoke “AI” in their marketing to stay relevant. These products disappoint and it’s no wonder why the real opportunity of AI get lost as leaders grow wary of dubious claims.
On Episode 38 of AI at Work, we’re joined by Vedant Misra, technical lead in machine learning at HubSpot. HubSpot makes software for small and medium businesses, rolling up the functions of Wordpress, Google Analytics, Salesforce, and other tools that businesses need to sell their products and services.
Topics: AI at Work
The frustrating thing about reading AI news is that it covers a lot of the stuff that doesn't matter. As someone who runs an AI company, invests in AI companies, and writes a newsletter about AI (and thus reads a lot of AI news), I thought it would be good to highlight 5 key ideas that I seem mostly missing from the frameworks people use to think about AI. I do talk to a lot of smart people who know these things, in fact, some of the ideas came from AI. executives I've spoken to about AI. adoption, but most people, I believe, are missing these key pieces.
Here at Talla, we are an automation company specializing in automating customer support workflows of all kind. Talla offers a tool that’s support rep facing, as well as a tool that interfaces directly with the end customer for self-service, allowing them to automate many of their own interactions with the company.
Topics: Customer Spotlight
For as long as there are businesses with customers, there will be a need for customer service teams -- but what your customer support organization will look like in the future will be heavily influenced by artificial intelligence and software automation.
Case deflection will be far more proactive in the future, as automation software will monitor customer usage of your products and services and detect problems as the happen -- perhaps even before the customer notices a downgrade in service or performance. This automation system will reach out to the customer itself -- via chat, email, autmated voice calling, or contacting their smart-speaker -- to advise on how to solve the problem without needing to search for advice in your FAQs or contact your support team.
Wayfair is an e-commerce company specializing in home goods. A quick glance at their sleek website shows that the shopping experience here is definitely different from that of Amazon or Walmart. Pinterest-esque panels showcase attractive furniture arrangements, allowing you to pick items out visually instead of just searching by a specific item.
Topics: AI at Work
Ever since Gmail shook up the free online storage game in 2004 by giving away a then-shocking gigabyte of space, individuals and businesses alike have become "digital hoarders" -- keeping all their old data around in case it becomes useful later -- regardless of the unacknowledged drawbacks of the practice. And while storage has become exponentially cheaper over the last 15 years, the hidden costs of digital hoarding may finally outweigh their benefits.
Topics: knowledge management