Why AI agents are buzzy again, and more AI and tech news from this week
Welcome back to LinkedIn News Tech Stack, which brings you news, insights and trends involving the founders, investors and companies on the cutting edge of technology, by Tech Editor Tanya Dua. You can check out our previous editions here.
Today’s edition dives into how the buzz around AI agents is picking up again, and explores where we are in terms of their development and adoption. We also have a rundown on the latest advancements from the world of AI and other tech news you need to know.?
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Missed the first five minutes of your meeting? You can already use Copilot or Gemini to summarize what you missed, and help you draft a follow-up email to your team.
But in the near future, AI software known as agents could take things up a notch and make life far more seamless: automatically reserving you a conference room, preparing you an agenda and even accessing your files to make relevant changes to your project documents after the meeting.?
While talk of “AI agents” has been swirling about for a year now, recent weeks have seen renewed buzz around these AI systems that can autonomously execute on a range of tasks by interacting with and learning from their environment, with startups and incumbents both racing to unlock this next frontier in AI as usage continues to climb.
Glasswing Ventures ’ Rudina Seseri attributes the growing number of agents to increased experimentation by businesses, which will only increase — though it’s still very early days.
“Consider Klarna ’s big announcement that two-thirds of their customer interactions are now being handled with AI agents,” she said. “With creativity, the use cases for which agents are best suited are endless. In 2024, I believe we will continue to see similar headlines as enterprises transition from areas of experimentation to full implementations leveraging AI to create strong business value.”
Another reason such agents are taking off now is simply because developers are getting better at system design, or getting LLMs to work more efficiently with other softwares, said Sandhya Hegde , partner at Unusual Ventures .?
Most AI agents currently in production work by “tool use,” or combining a large language model with other software via APIs to be able to execute a certain task, she added. A travel company, for example, could use GPT, its own aggregator and your credit card on file to then potentially create hyper-personalized recommendations and further, even book your trip.?
For enterprises, AI agents mark a step-function change in realizing AI’s true potential, as they can theoretically make workers more productive by asynchronously taking over entire tasks, also saving time and money. That explains why a slew of startups are developing AI agents across a range of functions, from sales development to customer service.?
Former Salesforce CEO Bret Taylor ’s new company Sierra is building AI agents for customer support for companies including WeightWatchers. Then there’s 11x ’s autonomous AI agent Alice, which can research potential clients on behalf of sales professionals and reach out to them all on its own. Another one is Sema4.ai, which can create ‘digital twins,’ helping banks, for example, detect, troubleshoot and remediate fraud.
“It is complex to automate enterprise workflows, and augmenting the people working on them is even harder,” said Mayfield ’s Navin Chaddha . “AI agents combine actions, intelligence and enterprise context, helping teams interact with LLMs to complete meaningful work faster.”
Indeed, AI agents are starting to become useful in some business contexts, according to a new report from Amsterdam-based software developer and investor Prosus Group. But agents are still far from perfect, as many continue to get caught up in loops of actions, making their execution unreliable.
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And that’s why, while some businesses have started to pilot AI agents, “back-office operations that are not customer-facing are where enterprises will feel more comfortable experimenting with agents first,” said Unusual's Hegde.
These issues could soon be addressed as techniques such as grounding take off, where AI systems can fact-check the results that AI models produce, improving their problem-solving and reasoning. Plus, the likes of H and Adept AI are trying to build fundamentally new models that go beyond API-based tool use, where agents are able to actually learn how to execute on tasks, said Hegde.?
Still, not everyone is convinced that AI agents are ready for the mainstream.?
“AI agents are self-aware, they have memory and context, and they interact autonomously with other agents,” Norwest ’ Scott Beechuk told me recently. “We’re probably a year away from the first set of AI agents to really hit the market.”?
Here’s where we bring you up to speed with the latest advancements from the world of AI.
Here’s a list of other notable AI developments from this week:
Catch up on the tech headlines you may have missed this week and what our members are saying about them on LinkedIn.
Here’s keeping tabs on key executives on the move and other big pivots in the tech industry. Please send me personnel moves within emerging tech.
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Palo Alto Networks - Corporate Systems Engineer 1
9 个月“AI agents are self-aware, they have memory and context, and they interact autonomously with other agents” Giant red flags waving?
Care Provider at IHSS
9 个月Thanks for sharing
Whoa, awesome job diving deep into the latest AI agent trends! Maybe you can also learn more about the ethical implications of AI in everyday life. What's your big dream job in the tech world?
Retired Quality Analyst and Social Media Specialist driving brand growth.
9 个月Good to know!
Finance leader | Operational Excellence | Strength : Story telling
9 个月Zp a a