$IBM Tape Reports

Per Ticker.id: $IBM Tape Reports — 57 podcast mentions across 17 podcasts (30 days), latest 2026-08-26 10:00 UTC.

  1. The thing about AI for business, it may not automatically fit the way your business works. At IBM, we've seen this firsthand. But by embedding AI across HR, IT, and procurement processes, we've reduced costs by millions, slashed repetitive tasks, and freed thousands of hours for strategic work. Now we're helping companies get smarter by putting AI where it actually pays off, deep in the work that moves the business. Let's create smarter business. IBM.
    Speaker A — Bloomberg News Now · Fed's Cook Rejects Mortgage Fraud Claims, Nvidia's Bullish Forecast, More · 2026-08-27
  2. So there's a lot of noise about AI, but time's too tight for more promises. So let's talk about results. At IBM, we work with our employees to integrate technology right into the systems they need. Now, a global workforce of 300,000 can use AI to fill their HR questions, resolving 94% of common questions. Not noise. Proof of how we can help companies get smarter by putting AI where it actually pays off. Deep in the work that moves the business. Let's create smarter business. IBM.
    Speaker A — Bloomberg News Now · Cook Hits Back at Trump's Renewed Threat, Nvidia's Outlook, More · 2026-08-27
  3. The thing about AI for business, it may not automatically fit the way your business works. At IBM, we've seen this firsthand. But by embedding AI across HR, IT, and procurement processes, we've reduced costs by millions, slashed repetitive tasks, and freed thousands of hours for strategic work. Now we're helping companies get smarter by putting AI where it actually pays off, deep in the work that moves the business. Let's create smarter business. IBM.
    Speaker A — Bloomberg News Now · Cook Slams Trump's Renewed Threat, Nvidia's Bullish Forecast, More · 2026-08-27
  4. The thing about AI for business, it may not automatically fit the way your business works. At IBM, we've seen this firsthand. But by embedding AI across HR, IT, and procurement processes, we've reduced costs by millions, slashed repetitive tasks, and freed thousands of hours for strategic work. Now we're helping companies get smarter by putting AI where it actually pays off, deep in the work that moves the business. Let's create smarter business. IBM.
    Speaker A — Bloomberg News Now · Fed's Cook Rejects Trump Mortgage Fraud Claims, Bullish Nvidia Outlook, More · 2026-08-27
  5. So there's a lot of noise about AI, but time's too tight for more promises. So let's talk about results. At IBM, we work with our employees to integrate technology right into the systems they need. Now, our global workforce of 300,000 can use AI to fill their HR questions, resolving 94% of common questions. Not noise. Proof of how we can help companies get smarter by putting AI where it actually pays off. Deep in the work that moves the business. Let's create smarter business.
    Speaker A — Bloomberg News Now · Fed's Cook Denies Wrongdoing, Nvidia on AI Demand, More · 2026-08-27
  6. IBM.
    Speaker B — Bloomberg News Now · Fed's Cook Denies Wrongdoing, Nvidia on AI Demand, More · 2026-08-27
  7. The thing about AI for business, it may not automatically fit the way your business works. At IBM, we've seen this firsthand, but by embedding AI across HR, IT and procurement processes, we've reduced costs by millions, slashed repetitive tasks and freed thousands of hours for strategic work. Now we're helping companies get smarter by putting AI where it actually pays off—deep in the work that moves the business. Let's create smarter business. IBM.
    Speaker A — Bloomberg News Now · Fed's Cook Denies Wrongdoing, Nvidia on AI Demand, More · 2026-08-27
  8. And then you also have a company like Microsoft, and then you have Google too, to some extent, that put out many tools where only one or two are again actually best in class, but the others are good enough to be sold alongside them as a bundle. And so I guess, wouldn't it be possible for those companies to level up their entire bundle and connect it with AI similar to what API has done for Palantir, and then basically offer a similar form of ontology. And it sounds like Palantir developed a really specialized machine learning technology set well ahead of the AI craze of the past few years and primarily targeted it at the government and military. But now growth is exploding as they've rolled out this model to commercial customers. And so I just can't imagine though that companies like Salesforce, IBM, Google, Microsoft, many of the biggest names in tech, I can't imagine that they're just going to take this lying down. I've seen estimates that Palantir could have as much as a $2 trillion addressable market. And if that is even remotely true, it's going to surely have some serious competition from some really powerful companies chasing after those same dollars.
    Preston Pysh — The Investor's Podcast (We Study Billionaires) - The Investor’s Podcast Network · TIP841: Palantir – Palantir is Cheaper than I Thought! w/ Daniel Mahncke & Shawn O’Malley · 2026-08-27