Part 1 recaptures the top AI interview on AiThority, featuring the best brains in the industry that you should read before 2019.
It was a phenomenal year for AI and related technologies. The year 2018 has been seeing many mergers and innovative applications coming to the fore with the maturity of data science and analytics. From Google AI announcing rewards for social good to the more interesting news in AI, we find how the industry prepared for Phase II of the Fourth Industrial Revolution.
Here are the top AI interviews featuring the best brains in the industry that you should read before 2019.
In this interview with Pascal of Mindfire, we realize why AI is not easy to be weaponized. There is a ray of optimism shining through the darkness of data abuse and cyber terror. For Pascal, all that can be treated with AI.
Pascal said, “There are many more immediate threats than that. Think of the ecological and socio-economical challenges people face. The Terminator scenario is about as likely as overpopulation on Mars. However, this doesn’t mean that we cannot crack the brain code in the next few years. I just think that robotics, in contrast to the qualitative understanding of the brain, lags significantly behind.”
This line steals the limelight from the top AI interviews published in the industry elsewhere.
Vainu’s Tuomas puts it best, saying, “We can glean data from human brains. This is transferable to AI algorithms. By leveraging Machine Learning to complete human processes, we are preparing for the AI-driven world. In other words, we try to download the understanding of human brains and let humans instead focus on tasks where computers will fail.”
In this interview, you would read the nuances of doing business with AI and Machine Learning. Tara said in this top AI interviews series, “By demystifying Artificial Intelligence, we’re hoping to remove some of the negative stereotypes for the next generation and foster a sense wonder and hope about how AI can deliver a brighter future.”
In this powerful interview, CEO of Voysis said, “I believe Voice AI will make the internet and technologies accessible to billions of people, while also removing friction from many of the graphical user interfaces we use today. A significant amount of the planet’s population cannot access the internet today for various reasons, including literacy, the languages they speak, and technical knowledge.”
Read about the exciting journey into AI for Steve and how he led his team of doctorates in the Conversant’s Decision Sciences department. Also, an interesting take on his journey as a business pioneer in AI for the company that was acquired by Alliance Data and became the digital media arm of Epsilon, a global marketing firm and another Alliance Data company.
Steve said about AI, “AI is at the heart of everything Conversant does, and more and more marketers are embracing it to keep up with the dynamic, ever-changing nature of consumers’ online behavior.”
When AI research is the core of your business, you can achieve the most results. Scott mentioned his research projects at Equals 3, the maker of Lucy.
He said, “Over the past three years, we have invested over 40,000 people hours into the development of Lucy and we have six patents pending. Our team continues to head-down on product development and evolving Lucy — both through the development of new features and the enhancement of existing ones. We have a roadmap that spans the next two years for how we will continue to evolve our technology.”
A serial MarTech entrepreneur started Hypergiant with an aim to disrupt the economy of smart decision-making and customer experience using AI and Machine Learning. In this interview, Ben Lamm, CEO of Hypergiant, revealed his own journey in setting up the AI company and the intricacies of running it successfully.
Ben said, “Sometimes I feel like the companies I build are really kind of a “technology outfitters” for major brands. I love helping the Fortune 500 innovate in new areas such as when I was CEO of Chaotic Moon, making mobile apps for the enterprise, and then with Conversable, building conversational interfaces for both text and voice for an enterprise. It only made sense to become an AI-outfitter for the most beloved brands given where we are on the technology adoption curve of AI.”
You can learn from Chao how she deals with the most challenging aspects of working with AI/Machine Learning. Going a step further into the realm of AI and Machine Learning, you can also dig your brains into understanding how do data scientists turn this into a goldmine of opportunities for the industry and customers.
For Chao, any company that wants to put AI as a top priority should make sure there is a direct communication channel between C-level executives and data scientist group leaders.
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