The next frontier in digital advertising will be using technology to predict which marketing messages are most persuasive with consumers and to deliver them at the right time. Artificial intelligence (AI) can help to personalize advertising while also protecting privacy, balancing consumer concerns with the goals of marketers who fret about the loss of third-party cookies for ad targeting. “It’s not all doom and gloom,” Randi Stipes, chief marketing officer of Watson Advertising and Weather, developer marketing at IBM, said in this interview with Beet.TV. “We’re already seeing the industry move forward. We’re seeing the right direction with third-party cookies going away, with increased demand for consumer privacy regulations.” Her company recently published the “AI Advertising Almanac” to describe the technology’s potential to tackle some of the biggest challenges faced the marketing and media industries. “We still have a big challenge ahead of us: How do we make sense of the growing and disparate data sets that exist?” Stipes said. “We think AI can help, and play a critical role. We’ve seen AI address foundational problems and foundational challenges in other industries.” IBM’s AI technology has been applied to cybersecurity to help ward off online attacks, and currently helps to mitigate 1 trillion security events a month. Businesses also are using AI to predict when it’s safe for their employees to return to work, a daunting prospect as they grapple with the global COVID-19 pandemic. “If AI can help with these incredibly complex problems, surely it can play a vital [More]
Full Event ► Artificial Intelligence (AI) has experienced hype cycles over the last half a century with resulting winters of disillusionment. However, several things have changed, including the cost of computing has declined dramatically and the power of computing has improved exponentially, making AI applications, more practical. The explosion of data is so vast and overwhelming that it has become impossible to understand it without automated support. AI appears to be entering a new phase where interest is surging again, particularly in finance. This panel will bring together key actors to debate whether the latest surge of AI applications will fall short again or will they this time truly transform the financial services industry? Moderator: Garrett Nenner, Lead Project Manager / Business Analyst – E-Trading, Cash & Trading Technologies – Gravitas Technologies Speakers: Rahul Jaising, Director, Head of Quantitative Prime Services, Americas, Barclays Capital Gordon Ritter, Senior Portfolio Manager, GSA Capital Stuart Farr, President, Deltix Session recorded June 16 2016 at the RavenPack 4th Annual Research Conference, titled “Reshaping Finance with Alternative Data”. Watch all sessions: ► Visit us at ► Follow RavenPack on Twitter ►
If you’re interested in licensing this or any other Big Think clip for commercial or private use, contact our licensing partner Executive Interviews: Read more at Follow Big Think here: YouTube: Facebook: Twitter: Joscha Bach: I think the question of whether we should be afraid of strong A.I. taking over and squashing us like bugs because it doesn’t need us for the things that it’s doing is exactly the same question as if we should be afraid of big corporations taking over and squashing us like bugs. Because big corporations are already agents: they are already intelligent agents in some sense. They’re not sentient. They borrow humans right now for their decision making. But they do have goals of their own that are different from the goals of the humans that they employ. They usually live longer. They’re much more powerful than people. And it’s very hard for a person to do anything against a corporation. Usually if you want to fight a corporation you have to become some major organization or corporation or nation state yourself. So in some sense the agency of an A.I. is going to be the agency of the system that builds it, that employs it. And of course most of the A.I.s that we are going to build will not be little Roombas that clean your floors, but it’s going to be very intelligent systems—corporations, for instance—that will perform exactly according to the logic of these systems. So [More]