tag:dlvr.it,2018-03-23:ac6861e9e2d249fc92b2895b5ff7a2e0 2026-10-18T22:37:41-07:00 tag:dlvr.it,2026-10-18:a0838ba63c2e3fcd11604f50b896d8e7 2026-10-18T22:37:41-07:00
Can your contract protect you when you’re procuring new AI services? Enterprise buyers might be surprised that often the answer is ‘no’. The contract is important, but ultimately the work to protect your business has to happen in-house. ]]> tag:dlvr.it,2026-10-18:ed19660b8637e3c0c237992bd5bbaa57 2026-10-18T21:57:18-07:00
Neocloud stocks like CoreWeave and Nebius are poised to cap off a horrible week in their relatively short time in public markets. ]]> tag:dlvr.it,2026-10-18:4ef51758917c6efa1ffff16d786bc83d 2026-10-18T21:44:04-07:00
"Atlassian sees this. Rovo now meters AI activity and access to organizational context through credits, with additional usage billing scheduled to begin in December 2026. GitHub is moving toward a mix of seats and usage too. That’s adaptation, not collapse. I still think Jira’s traditional economics are more exposed than GitHub’s, and the reason is margin. A traditional software seat costs relatively little to serve. Agent usage carries inference costs that someone has to pay. Usage revenue can replace seat revenue and still leave a worse business, so margin is the number to watch, not just revenue growth." ]]> tag:dlvr.it,2026-10-18:e525d5d1521d8c082c659cfaf0c8684e 2026-10-18T21:44:04-07:00
"AI isn't replacing labor as much as it is making up for a shortage. Multiple IFS customers said AI use cases revolved training incoming workers replacing retiring technicians and offloading tasks that sap productivity. Lauren Purcell, aircraft engineering manager at UPS, said the industry doesn't have the labor capacity to support the rate it's going. "In terms of workforce, we just can't keep up with the training to replace those that are leaving the industry and that are retiring," said Purcell. "We're seeing retirements from these people that have been in the industry for so long and have years and years of knowledge just walk out the door, and we're working to better the training processes and more automated training processes."" ]]> tag:dlvr.it,2026-10-18:35e9cc1b28cd23a512c6df2424a7e30d 2026-10-18T21:44:03-07:00
"In this work, the astute implementer learns that accuracy and precision are different. Accuracy measures how close a forecast is to actual demand. Precision measures how narrow or consistent the forecast outcomes are. In supply chain planning, the distinction matters. A forecast can be precise but inaccurate—or accurate on average but highly uncertain. The lack of precision (repeatability and explainability) increases risk. The mature planning processes evaluate a plan’s feasibility and reliability based on a conscious choice of optionality. In this work, business judgment is not a bad thing. The demand forecast is an input into the plan, not the plan itself. This distinction matters." ]]> tag:dlvr.it,2026-10-18:0d752d4b2aa59df109be32e9f8d9a8c6 2026-10-18T21:44:02-07:00
"Synthetic data is genuinely exciting. The ability to generate vast quantities of AI training data without the expense, privacy risk, or logistical complexity of collecting real-world examples feels like a breakthrough – and in many ways, it is. Smart teams at Google, Meta, and Mistral have all leaned on synthetic data to scale their training pipelines in ways that would have been impossible five years ago. The technology has real legs. " ]]> tag:dlvr.it,2026-10-18:fd5926818b824056c41ef3b80658dc4f 2026-10-18T21:30:21-07:00
"Many routing and classification steps in enterprise agent pipelines burn a full LLM call to extract a small structured answer: which tool to use, whether an action is allowed or which category an input belongs to. TypeSafe's Jev is designed to replace that step. The model does not generate prose or code; an application sends it a state and typed questions, and Jev returns choices, scores or yes-or-no probabilities with confidence attached. TypeSafe prices Jev at $0.042 per million input tokens with free output, with end-to-end latency reported at 70 to 500 milliseconds. " ]]> tag:dlvr.it,2026-10-18:0eea462109b6d17cd181bf8ee84daf23 2026-10-18T16:47:47-07:00
Enterprise hits and misses - agentic harnesses need a (human) gut check, architectures need resilience, and event season rolls on https://ift.tt/qLhZxAn This week - context and harnesses make agents much better/smarter, but they aren't a cure all... Time for a gut check. AI architectures need resilience, beyond the short-termism. Fall event season rolls on, and so do we. via Jon Reed – diginomica https://diginomica.com October 12, 2026 at 02:46AM ]]> tag:dlvr.it,2026-10-11:f8f45e774771ee65154030d44ad4d2d9 2026-10-11T16:30:02-07:00
"Ecosystem-native architecture starts from that permanence of change. It assumes no single cloud, provider, model, or application environment will remain the center of gravity indefinitely. Different components can enter, leave, or change roles without forcing the enterprise to redesign around each transition. Hybrid infrastructure becomes a permanent operating condition, while the ecosystem around it becomes the architecture rather than something attached to it." ]]> tag:dlvr.it,2026-10-10:fbec9cd70de864bfba48e19382b917d2 2026-10-10T23:13:23-07:00
"O’Brien encouraged Farkas and others to participate, while acknowledging the criticisms already leveled at the original definition. “The criticisms that have been lodged against open source AI definition ‘one’ are valid,” O’Brien says. “We have to continue that conversation.” ]]> tag:dlvr.it,2026-10-10:e35ffba3c505726d0fb03285fa3b6ef3 2026-10-10T23:13:22-07:00
SAP Connect Watch party recap - pregame and postgame review edition https://ift.tt/YkMbGSo For the SAP Connect 2026 opening keynote, Jon Reed was joined by Josh Greenbaum and Bonnie Duncan Tinder for their annual Connect watch party. Here, you can listen to the pregame and postgame reviews of a keynote that surprised all three of them. Pregame runs until 15:25; postgame runs until the end of the keynote for six more minutes of recap. You can see the full watch party including the keynote on LinkedIn at https://ift.tt/69ouiST. This was a high stakes keynote for SAP - did they accomplish what we thought they should? Where did they fall short? What did they get right? We recap. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/qRA0wJj October 10, 2026 at 04:36AM ]]> tag:dlvr.it,2026-10-10:063646a796b08c38e239d512cfccf1a6 2026-10-10T17:38:06-07:00
"Problems have multiplied. The cardboard shipping boxes Walmart has used for years are too big for the automated systems. The miniature robots that shuttle goods break down too often. The systems can’t accommodate some oversize products, such as big bags of dog food." ]]> tag:dlvr.it,2026-10-10:ee34430cf47948630c0c45720bb70528 2026-10-10T17:38:06-07:00
The SAP Connect 2026 show review - with Josh Greenbaum https://ift.tt/XPmigJh Jon's familiar foil Josh Greenbaum took off on a plane before the guys could record an on-site event review. Instead, they hopped on a post-event video call to break down whether SAP Connect 2026 lived up to expectations, and delivered for customers. The two compare notes on what they dug up on the ground, including Josh's customer views and Jon's AI geek outs. The biggest topic? How did SAP fare bringing the customers along - and not just the so-called "keynote luminaries," but the rest of the attendees and customers beyond? Why was SAP positioning so hard against "generic models"? Will customers embrace the data and process discipline of ERP modernization? And is "the end of three year migrations" a real thing, or just a vision? There are just some of the topics the guys air out... before wrapping with the always-potent topic of AI pricing and how customers will assess AI investments. To keep things spicy, Jon blows a couple of small gaskets along the way on AI misconceptions. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/qRA0wJj October 10, 2026 at 05:02AM ]]> tag:dlvr.it,2026-10-10:84957895fc8265f51cb30643b62778fb 2026-10-10T17:24:57-07:00
Enterprise month in review - human talent versus machines, a (non) Doomsday edition https://ift.tt/P1xAEq8 Yep, it's that time. The Enterprise Month in Review is back and ready for your hot takes and savvy participation. As usual, Brian and Jon have our underrated stories of the month (Jon blows a bit of a gasket on autonomous agents). We'll also have a bit of AI Doomsday audience participation, and a research reveal on human talent and leadership to riff on. As always, Brian's infamous slide deck will be back. Note: if you want to check the slide deck, you see see the video replay at: https://www.youtube.com/watch?v=2-Xy8MVL5gw. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/qRA0wJj October 10, 2026 at 04:23AM ]]> tag:dlvr.it,2026-10-10:2c9509d81b774aab94a063d017fc0b93 2026-10-10T17:11:11-07:00
]]> tag:dlvr.it,2026-10-10:59f3fbc2f7318a136c78a3965366be5b 2026-10-10T16:57:36-07:00
Hi everyone. Can't believe it's fall and the leaves are starting to turn outside my office window already. I’d like to thank Akamai once again for supporting FastForward for the last four issues. If you're interested in advertising, please drop me a line at ads@fastforward.blog. If you like what you see, please share this week’s edition with a friend, and encourage them to subscribe. It really helps.💌 Sign up here. ForwardThinking 🤔 AI still has a major trust problem But something is happ ]]> tag:dlvr.it,2026-10-10:4a4417f7006112826a1d705b952d7685 2026-10-10T16:44:24-07:00
"An attacker built AI agents designed to rebuild malware whenever security tools flagged it. In a separate operation, a suspected ShinyHunters affiliate went from a stolen developer token to full administrative control of a victim's cloud environment in about three hours. Anthropic documented both operations in its September threat report. For security teams, detection doesn't necessarily stop the attack: Malware can be rebuilt, and stolen AI credentials can be used to run further intrusions at the account owner's expense." ]]> tag:dlvr.it,2026-10-10:bf957b6afa8b0dc569c158ec8bfb339a 2026-10-10T16:44:24-07:00
"After the main keynote, I reiterated my stance that SAP treats CX as its Cinderella. Th CX keynote showcased why this needs to change. SAP CX is absolutely competitive, which is not seen by a wide enough audience. SAP CX delivered the best keynote I have attended in quite some time. It was aimed at the right audience, with the right message. It was sharp, concise, relevant and delivered well. It spoke to the people who matter in the enterprise, the users. The marketer, the account manager and the service manager, the people who use these systems on a day-by-day basis, and left the executive as the punchline: “Boom, you’re welcome, CRO.” It sums up the pitch: make the user’s day work, then the revenue follows. SAP’s own customer research makes the same point from the buyer’s side, though its percentages should be treated as directional." ]]> tag:dlvr.it,2026-10-03:737e075585334794f12cc4f9a3056d81 2026-10-03T18:34:47-07:00
"But Prabhakar says there are lots of aspects of the software engineering job that AI isn't solving right now. "If I talk about left of code before prototyping and if I talk about right of code in terms of maintaining the code, we haven't really seen AI kind of really increasing the output. So it's mostly in the code gen space for software developers." In terms of non-technical users, she says it's best to give them a goal, a problem to solve, and then ask them to use AI to help, rather than pointing to a model and asking them to have at it. She gave the example of an onboarding agent created by the HR team, which has little technical expertise compared to the developers." ]]> tag:dlvr.it,2026-10-03:9c8162129553cd7fc818d7ac68276147 2026-10-03T18:21:50-07:00
"Once we know what is actually running, the next step is to evaluate vulnerabilities based on the context that matters. That means looking beyond CVSS. Threat intelligence can provide important signals. CISA’s Known Exploited Vulnerabilities catalog, or KEV, identifies vulnerabilities known to be exploited. The Exploit Prediction Scoring System (EPSS) estimates the likelihood that a vulnerability will be exploited within a specified timeframe. Those signals can then be combined with production exposure, reachability, configuration, business impact, and how long a vulnerability has remained exposed. The result is a much more useful question for engineering teams: Which vulnerability should we fix first, in this environment, and why?" ]]>