I recently caught up with Dr. Susan Hura, Chief Design Officer at Kore.ai to discuss the bank-end work that goes into developing an intuitive conversational AI-supported chatbot. She’ll also dispel some of the myths behind developing and introducing a CAI-empowered chatbot into a business’s digital platform. Whether used out-of-the-box or customized, a chatbot’s design plays a more strategic role than one might think and requires an immense amount of human input to create.
The Future of AI in Sales
April 16, 2022 by
In this contributed article, Thomas Rielly, Founder of Triggr, discusses the future of sales relating to AI and big data. Sales processes that are highly optimized by artificial intelligence and machine learning technology aren’t the stuff of science fiction; they already exist. Using AI-infused sales technologies will increase the amount of your sales, putting you ahead of the pack.
Infographic: Increasing Lead Engagement with AI
February 26, 2022 by
The infographic in this article from our friends over at GetVoIP summarizes how conversational AI can help increase conversations. Conversational AI can keep leads engaged around the clock, disqualify bad leads, and shorten the sales cycle.
2022 Trends in Intelligent Bots: Knowledge Worker Empowerment
January 3, 2022 by
In this contributed article, editorial consultant Jelani Harper discusses 2022 trends in intelligent bots in terms of knowledge worker empowerment. Whether in the form of Robotic Process Automation, chatbots, or some other type of digital assistants, the presence of intelligent bots is substantially increasing across the data ecosystem … in more ways than one.
TensorRT 8 Provides Leading Enterprises Fast AI Inference Performance
July 20, 2021 by
NVIDIA today launched TensorRT™ 8, the eighth generation of the company’s AI software, which slashes inference time in half for language queries — enabling developers to build the world’s best-performing search engines, ad recommendations and chatbots and offer them from the cloud to the edge.
Why and How to Build an Effective Voice Bot
May 9, 2020 by
In this contributed article, Alexey Aylarov, Co-founder and CEO of Voximplant, suggests that the next logical step after chatbots is the implementation of RPA-assisted “voice bots,” however adoption has been slow. So, why don’t more organizations and businesses deploy voice assistants to further automate customer interactions?
Chatbots for Recruiting
March 26, 2020 by
Talent departments are spending $250 billion on recruitment, interviewing and candidate assessment solutions. But as employers invest in these disparate technologies, they sacrifice efficiency and deliver a disconnected experience throughout the talent lifecycle. Enter the AI chatbot. Phenom, a leader in Talent Experience Management (TXM), is a single platform that individualizes the end-to-end talent journey for candidates, recruiters, employees and management.
Rumblings in the AI Conversational Space
February 2, 2020 by
The AI conversational space is making a lot of noise moving into 2020, with efforts to release new chatbot products to provide a more integrated and seamless customer experience. Within customer service, chatbots have historically failed at taking in and applying the direct insight and demands of their customers reaching out. There is a need for solutions create superior chat conversations based on anticipated needs in real-time, while also continuously analyzing interactions to educate improvements on customer intent recognition.
Interview: Beerud Sheth, CEO of Gupshup
January 30, 2020 by
I recently caught up with Beerud Sheth, CEO of Gupshup, to discuss the state-of-the-art for conversational AI and chatbot technology. He also gives us an idea for future areas of evolution for AI chatbots.
AI Chatbot Technology Predictions for 2020
January 4, 2020 by
As we enter 2020 and embrace a brand new decade, technology acceptance is continuing to accelerate for a broad range of industries. This second derivative effect is prevalent in the adoption of AI-powered chatbots for business applications – messaging, healthcare, customer service, toys, etc. To give our readers a glimpse of what may be coming, I reached out to our friends in the big data ecosystem to get their predictions and comments. The reflections below offer some thought-providing directions. Enjoy!
