That are extremely intuitive to an end user who doesn't have the time to Way, and AI isn't something that a lot of people are necessarilyįamiliar within financial services. The industry is very used to doing things in a very specific It’s an evolutionary process that we've embarked on or are going How you came to decide on doing it the way you do? Tell me about this core value and then the edge value and You're delivering it in a way that’s demanded in the market, that people It’s interesting to me that you're not only taking a vast amount ofĭata and putting it into a useful format and qualitative type, but Happen, and replicate what a high-performing analyst is able to do. We can do that constantly, react to events as they Once a quarter, for instance, when research analysts would revisit anĮquity or a sector. Researcher would do at scale, and it does that every day, instead of Machine is able to go in-depth and do what a high-performing analyst or We believe in empowering the user and not replacing the user. What the machines do well and what the people do well, Michael? But how do we decide where the demarcation is between So, we've decided to help them tackle that But without AI tools, they tend to get bogged down in theĭata and in the day-to-day.
This should be spending more time on strategic thinking, ideation, and What tends to happen is that the people who are doing Today, in finance, the industry, in general, searchesįor investment opportunities using techniques that have been around for Jobs and some of the more mundane things that could be automated by AI.
Trying to eliminate friction between people who have very high-value Let’s look at some of the trends driving your need to do what you'reĭoing with AI and bots, bringing together data, and then delivering it The discussion is moderated by BriefingsDirect's Dana Gardner, Principal Analyst at Interarbor Solutions.
#Logicbots for apple full#
Read a full transcript or download a copy.Īssistant for targeting investment opportunities is being supported byĬloud-based big-data services, we're joined by Mutisya Ndunda, Founder and CEO of LogitBot and Michael Bishop, CTO of LogicBot, in New York.