tag:dlvr.it,2018-03-23:ac6861e9e2d249fc92b2895b5ff7a2e0 2026-11-08T12:37:03-08:00 tag:dlvr.it,2026-11-08:47a8835a1a0746fa4f2da05ae43daf33 2026-11-08T12:37:03-08:00
"AI is becoming woven into the fabric of digital operations and incident management. On the one hand, AI can detect, triage, and remediate incidents faster, improve coordination between teams, prevent repeat incidents, and drive process redesign. In some organizations, AI is already moving beyond assisting teams to acting on their behalf, as agents pave the way for autonomous digital operations." ]]> tag:dlvr.it,2026-11-08:d6c4d1f9c644bba0467bda032af7b4a6 2026-11-08T12:37:02-08:00
The ASUG Tech Connect review - vendors had their AI moment. Now SAP customers have their say. https://ift.tt/oguCXU0 Something was different at this year's ASUG Tech Connect. SAP customers have shifted. They aren't in some kind of magical agentic future, but they have a direction of travel. Yet the concerns about migrations, security, and AI readiness linger. Can customers change the outcome for their peers? via Jon Reed – diginomica https://diginomica.com November 5, 2026 at 12:33PM ]]> tag:dlvr.it,2026-11-08:2c2e2ab1d5494c3b185792696f3f4104 2026-11-08T11:56:31-08:00
"Capacity, not price, is the scarce asset, so negotiate for it explicitly. Microsoft’s capex miss was a delivery delay, Google is bridging with third-party compute, and AWS is reserving its largest capacity blocks years ahead. A commitment is one-sided if you owe the spend and the provider owes only best efforts. For AI and GPU workloads in particular, seek written capacity assurances, regional availability, and remedies (credits or commitment relief) if capacity is not delivered." ]]> tag:dlvr.it,2026-11-08:f60adbe7ce1727c19ee229e17054f52f 2026-11-08T11:56:30-08:00
"Against this background, as mentioned in a previous post, the future will almost certainly be defined by hybrid AI – quite different technologies deployed across different locations, including the desktop, data centre and cloud, along with mobile and IoT devices. Sure, LLMs will be in the mix, but so too will be many other AI genres and non-AI technology. Despite the current media and marketing circus, this is worth remembering when putting your own organisation’s strategy together." ]]> tag:dlvr.it,2026-11-08:166c6a3b154f484ff87647d52fdbb90e 2026-11-08T11:56:28-08:00 ]]> tag:dlvr.it,2026-11-08:c71a32903d77aaac7b203ca39dc1dece 2026-11-08T11:16:04-08:00
"There is also the matter of whether anyone understands the code. Last month a Meta engineer said he now ships code he can't fully account for, and writing software is his job. A trader using an agent to model positions is less likely to know how that code handles unusual cases, which on a trading desk can mean losses." ]]> tag:dlvr.it,2026-11-08:b2130da66805213552ba4c94848ca8ea 2026-11-08T11:16:04-08:00
Enterprise hits and misses - AI outcomes are elusive, the human review tax is BS, and enterprises need an AI playbook https://ift.tt/GgoUsbq This week - as fall events roll on (and on), AI outcomes are in demand - but hard to nail down. Is the so-called AI human review tax a thing, or a flawed concept? An AI playbook would be swell - but are we any closer? As always, your whiffs - and diginomica's line in the sand with Meta. via Jon Reed – diginomica https://diginomica.com November 2, 2026 at 02:41AM ]]> tag:dlvr.it,2026-11-08:102735dd18c7e5e78baa95622af85092 2026-11-08T11:16:03-08:00
Live from CCE 2026 (podcast) - What are enterprise leaders getting wrong about AI? Sparring with Esteban Kolsky cc: @ConstellationR https://ift.tt/9fO3F1N Esteban Kolsky, Chief Distiller at Constellation Research, has been issuing provocative board level research on what enterprise leaders are getting right (and wrong!) about enterprise AI. Live at CCE 2026, Reed and Kolsky sit down to break out some of the key issues Kolksy has surfaced, and why his research imperative has gained momentum amidst all the AI hype/BS. We cover Kolsky's advisory on resilient architectures, AI cost evaluations, and why the CEO should be the Chief AI Officer - and the pitfalls such a role presents. Halfway through the podcast, we switch gears to settle scores on several debates we have had on LinkedIn, including AI leadership, the value of synthetic data, and the most contentious of all: whether expertise is indeed a commodity, and why this is such a perilous and important argument for human work. That lands us into the final crucial topic of how to engage young talent, rather than sidelining them in the AI economy. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/ygN0MxQ October 31, 2026 at 06:55PM ]]> tag:dlvr.it,2026-11-01:de3db0150ee1ec6d44ac7d3b5952cd7e 2026-11-01T06:21:24-08:00
"The contractor is alleged to have given the AI agent login credentials to the DoD's Non-classified Internet Protocol Router Network (NIPRNet) in order to allow it to write code. But in order to function properly, the AI agent also needed the internet to perform its tasks. The login credentials give the AI agent the ability to bypass the security controls enforced by the login process, and the AI agent then sent the credentials and a map of NIPRNet to a third party website." ]]> tag:dlvr.it,2026-11-01:72f6df64f23aed32cae1a67ed231ad97 2026-11-01T06:21:22-08:00
"The art of outcomes. First, Tantoco said never confuse outcomes with metrics. "There's a big difference between outcomes and metrics… When you think about outcomes, you really think about business outcomes such as value created, productivity and customer satisfaction," she said. Thompson said outcomes revolve around "taking away friction and pain from our customers, from our teammates, and does life and work look easier?"" ]]> tag:dlvr.it,2026-11-01:58b998ec46ea3100ca1b60f058652f51 2026-11-01T06:07:24-08:00
"Jassy has seen plenty of technology leaders lose their early advantage over the past 20 years. He pointed to databases and analytics as examples, along with TensorFlow, which once seemed likely to become the standard framework before PyTorch took the lead. He expects something similar to happen with AI models. As Jassy put it, “there is not one tool to rule the world.” Some models will be better at reasoning or coding, while others will have an edge in visual tasks, speed, or cost per token. That leaves companies with plenty of reasons to use more than one. Jassy believes “most customers are going to use multiple models, and many will use multiple models in the same generative AI application.” For developers, that could mean choosing a model based on the task at hand rather than committing to one provider for everything." ]]> tag:dlvr.it,2026-11-01:1472f5bf0155318f35cd1da0d4a613b6 2026-11-01T05:40:24-08:00
Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. ]]> tag:dlvr.it,2026-11-01:56bce1d8911bd025890798be0529a36c 2026-11-01T05:40:23-08:00
"So, the next time a technology provider comes to see you and talks orchestration, ask them three “hows”: As we automate work to collaborate with agents, it is even more important to define the behavior and workflow of humans and agents. We have to up our ante. " ]]> tag:dlvr.it,2026-11-01:1d8675077765f3840539052496aee5d8 2026-11-01T05:40:22-08:00
"AI agents without business context are confident guessers. They do not know what "revenue" means in your company, which customer record is the right one, or which supplier belongs to which purchase order. With its new release of Zoho Analytics, Zoho draws the consequence and builds the context first, then the agents on top." ]]> tag:dlvr.it,2026-11-01:d7b30074e5619ca1beb984c4677562bd 2026-11-01T05:26:59-08:00
"The principle that follows: the greater the consequence of failure, the stronger the independent evidence we should demand. Human attention belongs wherever that evidence is insufficient, whether that means reviewing code, specifications, architecture or operational readiness." ]]> tag:dlvr.it,2026-11-01:b3305b8cca225f289deeb5f757d94850 2026-11-01T05:00:39-08:00
"When considering this, it’s important to recognise that even seemingly far-off events can often cascade right down to front-line IT. For example, an international conflict might restrict critical trading routes, leading to long and unpredictable lead times and higher prices for equipment. Procurement for a key project then gets brought forward to ensure availability, and before long you’re reshuffling funding and resources and replanning accordingly. Similarly, a key supplier under pressure from investors may unilaterally impose a product, policy or pricing change, leaving you to scramble to assess the impact on your longer-term strategy. AI deserves a brief mention here. While many pundits talk as if AI is front and centre in every infrastructure discussion, for most teams it’s less about building dedicated high-scale environments and more about supporting AI extensions to familiar applications, or AI functions that vendors build into application updates. That too is a factor largely beyond your control." ]]> tag:dlvr.it,2026-11-01:22c603f538eb96d256da85759d83f9d4 2026-11-01T05:00:39-08:00
The Oracle AI World podcast review - with Rebecca Wettemann https://ift.tt/2mzkcVW At the tail end of Oracle AI World 2026, day two, Jon sat down with Rebecca Wettemann of Valoir for an impromptu show review, in the protypical empty (but blessedly quiet) room. Did Oracle's agentic vision line up with customer realities? Was Fusion Claw an advance - if so, why? And how does Oracle's AI evolution point to the change in the value of language models - versus their surrounding architecture? How does Oracle customers' AI adoption path line up with Valoir's latest research - and where should Oracle go from here? These are some of the topics we hit on during our pre-flight show wrap. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/tEVHzdO October 27, 2026 at 07:14PM ]]> tag:dlvr.it,2026-11-01:3c804cbce6d3f88d9212604c57b47767 2026-11-01T05:00:38-08:00
Enterprise hits and misses - agentic automation, or building things that matter? The hackening has begun - is enterprise security ready? https://ift.tt/4FzU1vV This week - agentic automation is the rage, but are we missing out on building cool (new) things? And: how do we govern and scale that? "The hackening" has begun, as agents press for vulnerabilities across all infrastructure. Gartner calls out AI failure, and yes - events (still) need our scrutiny! via Jon Reed – diginomica https://diginomica.com October 26, 2026 at 03:25AM ]]> tag:dlvr.it,2026-10-25:5238e945ff739d158f57b9083246f1b8 2026-10-25T03:31:18-07:00
"Vendor keynote season has left us with a great story: autonomous agents run the front office, orchestration layers make everything talk to everything, and trust layers keep it all compliant. As we discussed in our CRMKonvo with Jon Reed, co-founder of Diginomica, the view from the ground is less glossy. Customers and vendors are having different conversations, and the gap is not a messaging problem. It is a conflict of interest, and the buyer is paying for it." ]]> tag:dlvr.it,2026-10-25:5c7962d4b8c73b8db2fc6914cd6a3b9e 2026-10-25T03:17:36-07:00
CIOs Must Strive to be Vanguards, a Cohort That Delivers Better Business Outcomes While Also Reporting High CEO-Perceived AI Value Only 13% of CIOs reported their enterprise has realized significant or transformational value from AI so far according to Gartner, Inc., a business and technology insights company. While AI use cases have accelerated over the past two years, the likelihood of use case success remains one-in-five. ]]>