tag:dlvr.it,2018-03-23:ac6861e9e2d249fc92b2895b5ff7a2e0 2026-04-19T19:14:11-07:00 tag:dlvr.it,2026-04-19:df44bc1185de52924e2c49b8554ed9af 2026-04-19T19:14:11-07:00 tag:dlvr.it,2026-04-19:a53a69581650dbf447b2fc3b74a7edf8 2026-04-19T16:18:12-07:00
"How mature is your AI agent security? VentureBeat's survey of 108 enterprises maps the gap between monitoring and isolation — and the controls that close it." ]]> tag:dlvr.it,2026-04-19:d2c931f33c4b7a9aef6414c90ffc8fd7 2026-04-19T16:18:12-07:00
"The Real-time Wonk. There is a wide variety of real-time wonks: the real-time S&OP wonk, the real-time planning wonk, and the real-time decisioning wonk. Planning should never be real-time. It needs to enable data at the speed of business with insights that have zero market latency. Planning options need to be incorporated into the operational and executional processes. Most real-time wonks confuse time horizons and focus on execution, wanting insights now to react. However, reactivity is not responsiveness. Over-reaction introduces nervousness into the complex system, reducing effectiveness. The Autonomous Spouting Wonk. Many don’t understand why we cannot put planning processes on autopilot. My retort? How do you define a good plan? And, if there is no response, I ask, if we are not clear on outcomes, how can we be autonomous?" ]]> tag:dlvr.it,2026-04-19:0d2efff3112ad14d96cb66b4612a39d0 2026-04-19T16:18:12-07:00
"I look at all these titan moves through two lenses. · Interface control: who owns how users and agents access business applications. · Orchestration: who owns the layer that coordinates work across systems. This set of announcements maps cleanly on either lens. Salesforce is the aggressive play on interface control. Own the access, and you own the orchestration that follows. AXL is the clearest multi-surface interface-layer bet any titan has made so far. SAP's interface-control play is softer, still routing interactions through Joule and its own surfaces. ServiceNow, interestingly, is not fighting for the interface at all. It is interested in being the backbone under whatever interface the user happens to be using." ]]> tag:dlvr.it,2026-04-19:d3a2afb55fad17ef372f73567ed56fda 2026-04-19T16:18:09-07:00
"The old tactics driving linked connections and establishing authenticity won’t cut it here. Complicating matters more is that in this age of authority, authenticity is needed to prove authority, but in different formats and different destinations. This isn’t just a conversation about web destinations but about how we fundamentally shift thinking. Sure, these models are scraping and crawling publicly available websites, but they can also ingest PDFs in an instant. So how does that shift our thinking for demand generation campaigns that rely on gates, forms, and hidden PDFs to capture leads? Should our press releases be structured differently before they cross the wire? How do we leverage earned and paid media to influence prompts before a single model sets out to crawl for answers? And if FAQ structure drives impact in AEO, should we be having different conversations about content management that bring our friends in enterprise content management and languages such as Darwin Information Typing Architecture (DITA) and sometimes ignored component content management systems (CCMSs) back to the strategy tables? " ]]> tag:dlvr.it,2026-04-19:a4bf1523cb023360ba93e10b4cfb9fc6 2026-04-19T16:05:14-07:00
"Every enterprise vendor is talking about AI agents — but without understanding how your business actually operates, the returns will fall short. In this episode, diginomica's Derek du Preez talks with Carsten Thoma, President of Celonis, about why operational context is the missing ingredient for enterprise AI. From freeing processes from vendor lock-in to the SaaS-pocalypse debate to a renegotiation of the social contract, Thoma makes the case for operational truth before automation." ]]> tag:dlvr.it,2026-04-19:37f97c3cbc69e782762a08bcad7a55af 2026-04-19T15:11:15-07:00
AI is automating tasks, not eliminating jobs. Understanding the difference changes everything. ]]> tag:dlvr.it,2026-04-19:e8111623a50417cabeb13a904c3cc1fe 2026-04-19T15:11:14-07:00
Enterprise hits and misses - Claude Mythos needs a reality check, neurodiverse workplaces aren't there yet, and event season rolls on https://ift.tt/EqghFGJ This week - Anthropic's marketing of Claude Mythos was extravagant, but what is the reality for enterprise CISOs? Neurodiverse workplaces are better workplaces, but we aren't there yet. Context is key to enterprise AI - what are we learning? Events are still in season, and so are podcasts. via Jon Reed – diginomica https://diginomica.com April 13, 2026 at 02:49PM ]]> tag:dlvr.it,2026-04-19:19d81d0e4b97decb512590e4a8725a0c 2026-04-19T15:11:14-07:00
Why CX data fragmentation blocks AI progress - a live research review with Rebecca Wettemann https://ift.tt/2orfqUl When you issue research that says things like this, you have my attention: "Instead of simplifying, many organizations are doubling down on complexity in the name of AI. This is where the story takes a turn. AI has become the top priority for modernizing customer service, but it’s also exposing just how broken the underlying data layer really is." Rebecca Wettemann of Valoir released fresh CX research that laid out the siloed predicaments CX (and contact center) teams are facing. But what should enterprises do about it? And why do we keep pursuing sexy AI solutions that won't get results - until we deal with the underlying data/people/silo problems? At Oracle AI World New York City, I hashed out these issues with Wettemann live during an event pit stop. (We also recorded a halftime recap of the Oracle AI event and agentic apps news, which was released as a separate podcast). Note: you can see the Valoir CX research summary/reveal on diginomica: https://ift.tt/D4UEzwg). via Busting the omnichannel - enterprise hacks and chats https://ift.tt/wdBGk3u April 12, 2026 at 12:59PM ]]> tag:dlvr.it,2026-04-12:dec958a350cae97b29fdb9298100f008 2026-04-12T20:02:15-07:00
"4. Building the tech and AI muscle of your senior business leaders should be a top priority. We don’t have a single success story where senior business leaders were not in the driver’s seat. IT leaders can support the transformation, of course, but it’s business leaders who need to drive it. At leading companies, they actively own the tech agenda—from defining how the business will be reimagined with technology to steering solution development to ensuring value delivery. These leaders, usually one or three levels below the CEO, combine deep business domain expertise with technology, data, and AI know-how that makes them formidable business transformers. They are conceptualizing, building, and running AI systems that power key aspects of the business." ]]> tag:dlvr.it,2026-04-12:94bca606512204bcda017676ab2011ec 2026-04-12T19:48:14-07:00
"Common sense would dictate that enterprises simply can't stop hiring college grads because you need to train and give employees experience. If you follow the mantra that AI is going to replace all entry level work, you're going to have one gaping hole and no one to manage (orchestrate) your company in just a few years. The people with experience will age out. Critical thinking will die and so will your company. I get that this is the US where nuance doesn't exist. Typically, the US overcorrects in one direction only to overcorrect in the other. Nevertheless, you may want to refrain from following the org chart of your fave tech bro. " ]]> tag:dlvr.it,2026-04-12:bd4b7aca8c4f8985db4a4bbb1058521f 2026-04-12T19:48:13-07:00
"Do not attempt to boil the ocean with a massive AI rollout. As Clint advised, you must start small, think big, and move quickly. Identify a highly specific friction point in your business, such as territory planning, and deploy a targeted AI solution like BoogieBoard to solve it. Technology implementations stall when organizations lack a clearly defined problem. Stop buying AI just to have AI. You need a targeted business case. Force your vendors to prove their worth on a micro-scale before expanding." ]]> tag:dlvr.it,2026-04-12:a59377ca6dd160c16bfba49a19a779a8 2026-04-12T19:08:14-07:00
"OpenClaw has reached 500,000 internet-facing instances with three unpatched high-severity CVEs, no enterprise kill switch, and no fleet-wide patch mechanism. Here's what Cisco, Palo Alto Networks, and Cato CTRL shipped at RSAC 2026 — and what still has no answer." ]]> tag:dlvr.it,2026-04-12:b82fab5b95e0f12b89b4029432b2badd 2026-04-12T19:08:14-07:00
The state of SAP, and where should customers go from here? An opinionated (and unscripted) review https://ift.tt/MR48Emz What is the state of SAP in April 2026? The markets have one take - but is that the whole story? What if we frame this in terms of customer priorities and value instead? And how does the enterprise AI story factor in - with the "garbage in, garbage out" data issue firmly in mind? That's plenty of fodder for our first air-it-out 'State of SAP' review in six months. (Though there is also our live ASUG Talks sessions with live customer Q/As since then). This podcast begins differently - Jon Reed had an opening ventilation in store for Geoff Scott and Josh Greenbaum to riff on. From there, we follow on our unscripted way, into SAP's AI strategy - and what individuals (and customers) should do in the face of global volatility and tech disruption. Along the way, we address two of SAP's major news items as well: the Reltio acquisition, and Thomas Saueressig's move into Chief Customer Officer on the SAP Executive Board. This podcast is intended to set the stage for SAP Sapphire Orlando and the co-located ASUG Annual Conference, where will we be taping live again. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/wdBGk3u April 12, 2026 at 02:21PM ]]> tag:dlvr.it,2026-04-12:bd31a09213948aacc09488865a3bdfaa 2026-04-12T19:08:13-07:00
Enterprise hits and misses - time for an enterprise data health gut check. Plus: are context graphs a trillion dollar enterprise play? https://ift.tt/IYjnFdr This week - time for a diginomica research reveal: enterprise data health is the topic, and the wake-up call is now. Are context graphs a trillion dollar opportunity - and what we can take from this debate? A couple rants, a few whiffs - and it's another spunky week in the enterprise. via Jon Reed – diginomica https://diginomica.com April 6, 2026 at 01:03PM ]]> tag:dlvr.it,2026-04-06:7a38090595d70cc1a129edc63fc40fe6 2026-04-06T05:09:07-07:00
"Leaders can start by asking themselves three important questions: What new technology talent should we hire? Which capabilities should we help our employees build versus training agents to deploy them? Which type of vendor partnerships can deliver real ROI? This article will help CIOs chart a course forward, providing them with actionable tactics they can use to ensure their talent, skill development, and partnership strategies bring their companies into the agentic age." ]]> tag:dlvr.it,2026-04-06:7877eb953ccebe80cc71d8bdd58c77d9 2026-04-06T05:09:05-07:00
"There are also concerns about code quality. As one Hacker News commenter put it, “LLMs are quite good at coding, but terrible at software engineering… At the moment, I am trying to fix a Vibe-coded application, and while each individual function is ok, the overall application is a dog’s breakfast of spaghetti, which is causing many problems.” ]]> tag:dlvr.it,2026-04-06:f6eec79f74c208d8cb633ec9f88630f4 2026-04-06T04:56:12-07:00
"CrowdStrike, Cisco, and Palo Alto Networks all announced agentic SOC tools at RSAC 2026. A VentureBeat analysis of all three architectures finds none shipped an agent behavioral baseline — the foundational capability security teams need before they can set policy for AI agents running on enterprise endpoints." ]]> tag:dlvr.it,2026-04-06:3e6e237c849b03504581948d826438ec 2026-04-06T04:56:11-07:00
"Data Quality Over Generative Hype. The market is obsessed with using AI to generate content. This is a fatal error. LLMs prioritize depth, expertise, and authoritativeness. If you feed your channels with recycled marketing fluff, you will achieve nothing but instant mediocrity. Algorithms will bypass you in favor of sources providing genuine knowledge. Invest your budget in subject matter experts who produce high-quality content. The machines look for truth; make sure you provide it." ]]> tag:dlvr.it,2026-04-06:febe45770d6647275f1621923570d42c 2026-04-06T04:42:14-07:00
"For years, the security industry has known that the easiest way to compromise a system is to hack the human operating it. Yet as a field, we remained convinced we could harden technical defenses to such a degree that the human element would become irrelevant. Needless to say, that bet hasn’t paid off. Adversaries have noticed the same asymmetry we have, and have changed tactics in response. Criminal scam gangs have consolidated into full-scale organizations, complete with HR departments, R&D divisions, and psychologists who manage staff morale when the cognitive dissonance of doing bad things to good people gets too loud. AI augments their industrialized efforts to better attack vulnerable people in ways that were unthinkable five years ago, but in truth, these same capabilities are now accessible to anyone with an API key and motivation. The near-term horizon of this trend is precision cognitive targeting: simulating millions of attacks against your AI-powered digital twin before running the most optimized version against you." ]]>