tag:dlvr.it,2018-03-23:ac6861e9e2d249fc92b2895b5ff7a2e0 2026-08-06T23:28:24-07:00 tag:dlvr.it,2026-08-06:f1f1f52dfc1297a7678aa2a0dd4cfc9b 2026-08-06T23:28:24-07:00
"The survey’s results are a strong indication that the once-promised boost to productivity thanks to AI has yet to materialize. Worse yet, AI is actively getting in workers’ ways. Some 42 percent of respondents said they “spend more time verifying AI output than they save using it,” while 49 percent reported that “poor-quality AI output slows down projects.” ]]> tag:dlvr.it,2026-08-06:80ffc582473a5e8b6279978c9f1ed4c6 2026-08-06T16:15:24-07:00
"Project slowdowns were a common complaint, with 49% saying poor AI output drags work down and 42% saying reviewing that output takes longer than the amount of time the tool saves. Beyond efficiency concerns, workers also reported a creative and emotional toll. Nearly half said AI is making work feel more monotonous and less worthwhile." ]]> tag:dlvr.it,2026-08-02:2d026c793267ef274b7d4ce098c2226b 2026-08-02T14:14:05-07:00
"Most buyers do not run a real evaluation on the implementation team. In our data, roughly 75% of the time the Consulting partner got picked for 1 of 2 reasons: the software salesperson recommended them, or the firm had already done unrelated work somewhere else in the company. Most buyers received 2 or fewer proposals. One large organization asked us, “We had a choice in partner?”" ]]> tag:dlvr.it,2026-08-02:f88927ee4dc39bbf6acf0329532f7eb1 2026-08-02T14:14:05-07:00
"Open-weight models are our best defense against hegemonic control of the technology by either governments or huge AI corporations. They are also the best way to put AI into the hands of more people, not just those who can afford to spend fortunes on hosted tokens. That throws a wrench into Sam Altman’s plans to sell back to us our collective intelligence as if it were a commodity. “We see a feature where intelligence is a utility, like electricity or water,” Altman says, “and people buy it from us on a meter.” Thereby, Altman concedes that AI is, if not a public good at least a public utility." ]]> tag:dlvr.it,2026-08-02:0b8de969f773e103a6ffe38c3d7cfe45 2026-08-02T14:14:04-07:00
"The size of this problem is measurable. In PwC’s survey, twenty-two percent of CEOs report that AI has increased their costs, and roughly thirteen percent of all respondents report higher costs with no revenue gain whatsoever. Every one of those companies is somewhere on a curve. Some are in Month 6 of a healthy Dip on a process that will produce a step change in throughput. Others are funding an expensive failure. Nothing in the survey distinguishes them, and in most cases nothing in their own reporting does either. The dashboard closes this gap. The executive team states that the Dip is a symptom of transformation rather than of failure. " ]]> tag:dlvr.it,2026-08-02:898b0cbfd72df0349e7785bbad4a76c1 2026-08-02T14:14:04-07:00
"Newer solutions are emerging at the fringes of today’s technologies, but they do not fit into traditional taxonomies. There is no proven method to connect supply chain visibility flows — think vendors like Four Kites, Project 44, and Shippeo —into supply chain planning processes. This is the case despite valuable insights. Risk management technologies search for anomalies and provide early alerting, but there is no common data model, consistent definition of events, or workflows. " ]]> tag:dlvr.it,2026-08-02:a3c3784ff71eeb7f0f382a3e3295ddf3 2026-08-02T14:14:04-07:00
Enterprise data health reality check - an interactive research dive https://ift.tt/oYCV2Wr We know that enterprise data quality is a problem - and the biggest obstacle to successful AI. But the truth can quickly become a static phrase. What does the data really show? What are the savvy companies doing? How deep does this organizational problem go? Recently, a monster piece of independent research, co-authored by diginomica's Alyx Macqueen and Maureen Blandford for Serendipitus, investigated this problem, and surfaced surprising insights. So let's get Blandford and Macqueen in the proverbial hot seat, and find out about their method, what they learned, and the issues that this research sparked. As always, this is a live, interactive event where your questions and commentary are part of the mix. Maureen and Alyx have prepared their top surprises and fresh views for this program, you won't want to miss this one. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/RAUM5JG July 26, 2026 at 04:31AM ]]> tag:dlvr.it,2026-08-01:46a2fb7f879e2a5d43dcd7a22ce8bc19 2026-08-01T23:30:32-07:00
"Community Fibre CIO Chris Williams joins the diginomica network podcast to explain how a clean-sheet approach to technology has taken the London full-fibre provider from 30,000 to over 430,000 customers in four years. Williams discusses why he chose modern, scalable vendors like Yext, Domo and AWS over legacy telco systems, and how AI is now embedded across self-service, procurement, development and customer call handling - including cutting a 120-hour security job down to two. He also reflects on his BT and EE heritage, the case for regional ISPs over national giants, and what's next for connectivity as customer demands keep growing." ]]> tag:dlvr.it,2026-08-01:36a036389994fb1fad086c191f5d8d45 2026-08-01T23:30:32-07:00
"Strip away the paper and the decade, and the mechanism is identical to what enterprises are building around AI agents right now: bounded automated authority, a defined answer to who’s liable when the system is wrong, and a real, capturable advantage for whoever engineers the full permission stack before their competitors do." ]]> tag:dlvr.it,2026-08-01:73ed01f521302eddb7a8938c26b03102 2026-08-01T23:30:31-07:00
"Experience is accumulated through exceptions, failures, informal workarounds, customer reactions, and decisions made without complete information. It is difficult to document because people often do not know which parts of their judgment matter until an unusual situation forces them to use it. AI can reproduce recorded rules and recognize patterns. It cannot be taught intuition or innovation, and its apparent reasoning breaks down when tested against unfamiliar, ambiguous, and consequential situations. That loss of experience is becoming material. Deloitte estimates that more than 30 million Americans will turn 65 over four years, placing trillions of dollars of output at risk as institutional knowledge leaves the workforce. APQC’s 2025 research found that many organizations recognize the threat but still lack consistent methods for capturing and transferring expertise. The enterprise is allowing its hardest-to-replace operating asset to leave while recruiting for skills that are becoming easier to buy." ]]> tag:dlvr.it,2026-08-01:a5d99fc09e8232c03828ca6db0b37b18 2026-08-01T14:16:39-07:00
"You don't have to be fictional tapdancing political PR antihero Malcolm Tucker to see how Anthropic could have used the episode to make its case as the safer, more trustworthy AI company. Instead, realizing its own marketing playbook was being used to help a competitor, it went head-to-head with OpenAI, willingly admitted that it made similar sandbox-based blunders, and disclosed that the results were even more calamitous. Three companies hacked, not just one. So, while the AI biz has attempted to eclipse OpenAI's "rogue agent" story with its own, what's left behind is a new reputation for irresponsible handling of technology." ]]> tag:dlvr.it,2026-08-01:dc6e8201355b90c48c875fc9b7d61137 2026-08-01T14:16:39-07:00
"To add context to these statements, Reddit has long had a relatively lucrative ($60 million) licensing deal with Google, but Reddit is considering ending that deal, according to a Wall Street Journal report from earlier this month. The report also said that several prominent publishers are considering similarly cutting ties with Google, including The Economist, Reuters, Politico, and USA Today. (Reddit also has a deal with OpenAI.)" ]]> tag:dlvr.it,2026-08-01:48825448f2f6573b028fd76df4dfe6aa 2026-08-01T14:16:38-07:00
"For decades Mastercard's fraud rules were built to stop bots. Now AI shopping agents are buying, forcing Mastercard to rewrite its core risk framework." ]]> tag:dlvr.it,2026-08-01:8b5ccb9cfacde846ac73f76280f34a0b 2026-08-01T14:16:38-07:00
Enterprise hits and misses - OpenAI's agent hacks Hugging Face: enterprise takeaways and mythbusting. Plus: NVIDIA, Meta and MIcrosoft back open weight models https://ift.tt/Q4DePHs This week - OpenAI's supposedly "autonomous" agent hacks Hugging Face. Time to demystify, and pull some lessons for enterprise leaders. A host of big players back open weight models, but is the US versus China aspect a misdirection? Measuring AI's environmental impact, while the whiffs keep coming. via Jon Reed – diginomica https://diginomica.com July 27, 2026 at 02:03PM ]]> tag:dlvr.it,2026-08-01:bef354c25797c0d1f4fce9f6b48013f9 2026-08-01T14:16:38-07:00
Analyst Relations gut check - live feedback sessions on AI-created AR solutions https://ift.tt/MOq1TiU And now for something completely different! Let's have a live look at Analyst Relations disruptions - via a feedback session on AI-generated content on how AR needs to change. I generated this content from my own research and analysis - but did AI get it right? What went wrong? How can all of us - including analysts - serve customers better when they need an open, year round dialogue like never before? Joining me will be independent analysts Bonnie Tinder and Josh Greenbaum. I'll get their unscripted reactions to this collateral, some of which is quite edgy, but does it reflect our views? Where did AI go wrong, and where can data and analytics help us make changes in our industry? Join us and let's hear your reactions also. Note: you may want to see the visuals for these slides. If so, check the YouTube replay for easy scrolling through the visuals, https://youtube.com/live/nqD9jWEF0UQ. AD FREE CONTENT REVIEW REQUEST - this may be the longest running enterprise podcast and it has never had ads or sponsors, and never will. If you're weary of podcast ads and sponsor announcements, and love the kind of unscripted/unsponsored content as much as I do, consider leaving me a positive review, it's shocking how much of a difference this makes in bringing in more listeners. Thanks - these podcasts are for the community... always will be. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/RAUM5JG July 26, 2026 at 04:45AM ]]> tag:dlvr.it,2026-07-26:564722687c315597ce13b912e44a1288 2026-07-26T22:36:04-07:00
"Brain health matters. We need that strong foundation to be able to learn new skills. You can’t cultivate skills that are becoming increasingly important with the rise of AI on a foundation of burnout or cognitive overload. You need both together. The more society changes, the more important brain capital will become as a competitive advantage and as something worth investing in. We found that by recognizing brain capital as an asset that matters at an organizational and a societal level, we can start to make a difference. It gives us a way to think about both sides of the equation: how we protect and strengthen brain health while we develop the skills people need to thrive in a changing world." ]]> tag:dlvr.it,2026-07-26:07ca64926bcf98b0e51bf5d5ec234d47 2026-07-26T22:36:04-07:00
"While advances in Chinese AI have executives from Anthropic and OpenAI spooked and pushing ways to restrict open source models, the reality is that US versions of open LLMs are likely to surge too. Enterprises will be pleased either way since you can't have a model duopoly. Just because OpenAI and Anthropic have $1 trillion private valuations doesn't mean you have to pay for it. " ]]> tag:dlvr.it,2026-07-26:95e2019fd5b71b7fb14a696d1ab0b77d 2026-07-26T22:36:04-07:00
"Imagine an enterprise generating 40 billion tokens every month by running hundreds of autonomous agents across software engineering, legal review, financial analysis, or customer operations. The numbers become difficult to ignore: Renting proprietary APIs: Approximately $720,000 per month. Owning the infrastructure: A fixed $120,000 per month. The savings have nothing to do with intelligence. They come from changing the economic model. You stop paying a variable tax on consumption and start utilizing a fixed asset." ]]> tag:dlvr.it,2026-07-26:20ad7020e7933549f0bd7d774212161e 2026-07-26T18:33:09-07:00
"VentureBeat's June 2026 Pulse survey of 107 enterprise respondents explains why the room was full. More than half, 54%, have already had a confirmed agent security incident (18%) or a near-miss caught before harm (36%). Just 32% give every agent its own scoped, managed identity, and fewer still, 30%, isolate their highest-risk agents in sandboxes. Provider-native and hyperscaler controls remain the primary agent security layer at 82% of companies surveyed. The world's largest security vendors have done the same math." ]]> tag:dlvr.it,2026-07-26:c4e3b9d112d0a8536faaf01a792785ce 2026-07-26T18:33:09-07:00
"Make explainability and determinism contractual, not aspirational. For regulated CX, the probabilistic parts belong at the task level, boxed in and checked, while the process and governance stay deterministic and auditable. Insist on visual, explainable models. If your vendor cannot show a regulator how a decision was reached, understand that you own that risk, not them. "The AI decided" is not a defense you want to offer an auditor." ]]>