intelligent ai
Bernard Marr: AI will give us all superpowers
We join the disucssion as Bernard gives us a peek into his keynote speeches as a futurist. You can listen to the full conversation above. Bernard Marr: Each time I give a presentation somewhere in keynotes, or talk to senior executive teams in companies, and talk about how technologies like artificial intelligence, and blockchain and robotics are going to change our world over the next 10 years, the next question is, okay, what does that mean for us humans? How do we compete with increasingly intelligent robots and when AI robots can be machines, but can also be devices? We now have smartwatches, smart speakers, smart everything, and really intelligent robots that can drive our cars, that can pick food, we have intelligent AI that can do the jobs of lawyers and doctors.
Library: Intelligent AI - Transforming commercial property risk with the internet of things - The Digital Insurer
Just as the rest of the insurance industry needs a technology overhaul, commercial property insurance is long overdue a refurbishment. And it's going to take more than a lick of paint to set this house in order, say the authors of this report. Loss costs and expenses are too high. Between 2016 and 2019, Lloyd's commercial property insurance showed losses of £2.6 billion. This figure is only going to increase as both man made and natural hazards cause losses.
- Banking & Finance > Real Estate (1.00)
- Banking & Finance > Insurance (1.00)
- Information Technology > Artificial Intelligence (0.85)
- Information Technology > Internet of Things (0.67)
- Information Technology > Communications > Networks (0.41)
An AI-powered chatbot for customers helped Goldman Sachs' Marcus realize 'massive savings,' according to a top exec. Here's how.
Chatbots and artificial intelligence have delivered great returns for Goldman Sachs' Marcus as the online bank looks to manage its growth. Marcus, Goldman's digital consumer bank, significantly "cut down on costs and expenses in terms of people" at call centers by using the tech, Abhinav Anand, an MD and head of lending for consumer at Goldman Sachs, said at a recent industry event. "That itself, at the scale at which we are growing, is a massive savings and a good way to measure the return on our investments," said Anand, who was speaking at the Ai4 Finance Summit in New York on Tuesday. Marcus is not "removing call center positions" but rather using the chatbots, which the bank calls "intelligent AI enabled chat services," to manage growth, a spokesperson for Goldman Sachs told Insider. "We are not removing call center representative positions, we are continuing to grow across the board in the consumer business including within our call centers. We are growing at an incredible pace and are continuously hiring for new roles and positions," the spokesperson told Insider.
- Banking & Finance (1.00)
- Information Technology > Services (0.36)
10 Takeaways from the Harvard Business Review on Artificial Intelligence
There have been Kondratiev waves throughout history, commonly referred to as innovation waves, including the invention of electricity, the printing press, and the steam engine. All of these technologies spurred a paradigm shift which resulted in transforming the way the world operated. Today, many believe AI is the next Kondratiev wave and that it will be responsible for transforming how businesses create value, how people work, and ultimately how people live. For businesses to survive the era of AI, they must prepare to abandon legacy technology and invest in new ways of doing things, sometimes reasonably quickly in order to stay relevant. This phenomenon is called the "burning platform" effect, based on the idea that in order to stay competitive, businesses must adopt a radical change strategy as if their current way of doing things was on fire.
10 Takeaways from the Harvard Business Review on Artificial Intelligence
There have been Kondratiev waves throughout history, commonly referred to as innovation waves, including the invention of electricity, the printing press, and the steam engine. All of these technologies spurred a paradigm shift which resulted in transforming the way the world operated. Today, many believe AI is the next Kondratiev wave and that it will be responsible for transforming how businesses create value, how people work, and ultimately how people live. For businesses to survive the era of AI, they must prepare to abandon legacy technology and invest in new ways of doing things, sometimes reasonably quickly in order to stay relevant. This phenomenon is called the "burning platform" effect, based on the idea that in order to stay competitive, businesses must adopt a radical change strategy as if their current way of doing things was on fire.
2021 insurtech challenge winner revealed
Intelligent AI provides a 360-degree view of risk, with more than 300 datasets, including AI, IoT, Satellite, NatCat, and Open Data. "Intelligent AI offers an exceptionally relevant use case for the industry right now," said Chris Newman, global managing director at ACORD. "Their presentation demonstrated the art of the possible in what can be done with data in the insurance commercial lines space." Apart from the cash prize, the firm will be featured in an ACORD-promoted webinar to present its innovation. "I'd like to thank ACORD and the AIIC judges for this great opportunity," said Anthony Peake, chief executive officer at Intelligent AI. "We have had a fantastic first year at Intelligent AI and are excited for the future. We think real-time data and digital twins are going to be an industry game-changer for both insurers and commercial customers."
- Europe > United Kingdom > England > Leicestershire > Loughborough (0.07)
- Africa > Nigeria (0.07)
Why emotionally intelligent AI is the way forward for chatbots
From booking systems to customer and feedback services, chatbots are ubiquitous in business. But in areas, such as health or the home, people seem less willing to engage with what is effectively a computer running smart software or a machine that "learns" thorough artificial intelligence (AI). However, businesses are increasingly taking advantage of advances in emotionally intelligent AI to open up new opportunities to gain people's trust when it comes to more sensitive subjects. Nowhere is the use for emotionally intelligent AI more apparent than in healthcare. When pharmaceutical company HRA Pharma Deutschland was looking at using a chatbot to give women in Germany advice on the morning-after pill, it needed it to do more than parrot its website.
How artificial intelligence in ecommerce market has swept the age old customer service
It's no doubt that artificial intelligence has taken its firm position in every industry, making processes efficient and convenient than ever before; ecommerce of course is no exception. Especially during these pandemic times, buying preference of consumers have witnessed a sharp spike towards digital shopping thereby triggering a tectonic shift in the contours of the age old customer service operating model. What has worked in the past for customer service teams will not work in the future and several ecommerce brands learnt this lesson the hard way in the recent past. The age old model of call centers manned with trained agents to take incoming calls of customers just cannot support this exponential increase in call volumes and many ecommerce businesses had to look at re-inventing their processes using meaningful technology interventions. Enter AI to the rescue.
The Race for Intelligent AI
Many companies including: OpenAI, Google/DeepMind, Microsoft, and countless others, have started the race for "truly" intelligent AI. For the majority of this article I'll be referencing OpenAI's GPT series of machine learning models. However, the question: "what does it mean to be truly intelligent?" OpenAI have modeled this problem as a text transformer model. This model takes sequences of pieces of words (two character pairs) and tries to predict the next set of word parts.
The One Obstacle to Intelligent AI
Earlier this month I was figuring out how to code a recurrent neural network (RNN, a common form of neural networks for text generation) to rewrite its own code. The idea was to train the RNN to completion, then to take code it generated (with syntax checks, of course) and run it. The code that the RNN generated would serve the purpose of generating more code to generate more RNNs, and so on, with each new'generation' of RNN coding the next. I was incredibly excited to see how it would turn out --the idea is exciting to entertain. An AI trained to improve itself will inevitably do so, right?
- North America > United States (0.05)
- Asia > China (0.05)