<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Contivos]]></title><description><![CDATA[Contivos]]></description><link>https://www.contivos.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Mon, 09 Nov 2026 12:53:31 GMT</lastBuildDate><atom:link href="https://www.contivos.com/ar/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[How Healthcare Organisations Can Use AI Agents With Patient Data Safely]]></title><description><![CDATA[How Healthcare Organisations Can Use AI Agents With Patient Data Safely Healthcare organisations are starting to hand real work to AI agents. Scheduling and reminders, referral routing, prior authorisation paperwork, medical coding, and the summarising of long patient records are all being tested right now. The appeal is easy to see. These tasks are repetitive; they take up clinical and administrative time, and they sit in systems that were never designed to work together. The difficulty is...]]></description><link>https://www.contivos.com/post/how-healthcare-organisations-can-use-ai-agents-with-patient-data-safely</link><guid isPermaLink="false">6aeb26e5d83ea1f66e2ab79f</guid><pubDate>Wed, 04 Nov 2026 12:42:24 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_df7d93dfbd5b494b8610d3fa99b40235~mv2.jpeg/v1/fit/w_678,h_452,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How to Move a Logistics Operation From Spreadsheets to a WMS and TMS]]></title><description><![CDATA[How to Move a Logistics Operation From Spreadsheets to a WMS and TMS Spreadsheets are where most logistics operations start. One workbook tracks inventory, another holds carrier rates, and someone on the team knows which tab to trust. For a while, it works. Then order volume grows, a second warehouse opens, or customers start asking for tracking updates, and the workbook becomes the slowest part of the operation. Moving to a warehouse management system (WMS) and a transportation management...]]></description><link>https://www.contivos.com/post/how-to-move-logistics-from-spreadsheets-to-wms-and-tms</link><guid isPermaLink="false">6ae1e5276a6829532b2c60cb</guid><pubDate>Wed, 28 Oct 2026 12:09:02 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_dfeb7044c50b4e76945d04a5295a37aa~mv2.png/v1/fit/w_701,h_438,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Why AI Projects Fail to Reach Production and How Businesses Can Avoid It]]></title><description><![CDATA[Why AI Projects Fail to Reach Production and How Businesses Can Avoid It A pilot that impresses a room full of executives is one of the easier things to build in enterprise technology. A system that handles real transactions, real data, and real users every day is much harder. That distance explains why so many AI projects never leave the pilot stage. The research points the same way. Gartner predicted that at least 30 percent of generative AI projects would be abandoned after the proof of...]]></description><link>https://www.contivos.com/post/why-ai-projects-fail-to-reach-production-and-how-businesses-can-avoid-it</link><guid isPermaLink="false">6ad8af4bb103d9f12aa544a2</guid><pubDate>Wed, 21 Oct 2026 12:37:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_5d7ac3a1cf0347cba7068d915d7a62f9~mv2.png/v1/fit/w_783,h_392,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How 24/7 Infrastructure Monitoring Changes the Risk Profile of an Enterprise]]></title><description><![CDATA[How 24/7 Infrastructure Monitoring Changes the Risk Profile of an Enterprise Most enterprises do not know their infrastructure has a problem until someone tells them. Usually that someone is a customer. A payment system times out. A booking portal stops loading. An API that three internal systems depend on goes quiet at 2 am on a Sunday. By the time the internal team knows something is wrong, the problem has been running for long enough to cause real damage. Customer-facing damage. Revenue...]]></description><link>https://www.contivos.com/post/247-infrastructure-monitoring-enterprise-risk</link><guid isPermaLink="false">6acfd1dcff45ed0c2275a6ae</guid><pubDate>Wed, 14 Oct 2026 19:05:57 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_95de835c0eb7486cbf57f54ffcc4bf29~mv2.png/v1/fit/w_940,h_529,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Bonded Warehousing: How to Hold Imported Goods Without Paying Duty Upfront]]></title><description><![CDATA[Bonded Warehousing: How to Hold Imported Goods Without Paying Duty Upfront If you import into Canada, you know how it goes. The container lands, your broker sends the bill, and a large share of your cash goes to duties and GST before a single unit is sold. This fall, that bill got heavier for many businesses. Since September 8, 2026, Canada has applied a surtax of 15%, 25% or 50% on a long list of U.S. origin goods under the United States Surtax Order (2026). For some importers, landed cost...]]></description><link>https://www.contivos.com/post/bonded-warehousing-how-to-hold-imported-goods-without-paying-duty-upfront</link><guid isPermaLink="false">6acf8b9df01b30c0f50526cf</guid><pubDate>Wed, 14 Oct 2026 14:21:36 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_1f6e6683f82d4427a49a05db706ead0a~mv2.png/v1/fit/w_720,h_360,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How to Choose the Right Managed Services Partner]]></title><description><![CDATA[How to Choose the Right Managed Services Partner Choosing a managed services partner is not simply a decision about who can manage your technology environment. For many organizations, the right partner becomes an extension of the internal IT team. They may be responsible for keeping applications available, monitoring infrastructure, resolving issues, improving performance, supporting users, and helping the organization respond to changing technology requirements. That makes the decision more...]]></description><link>https://www.contivos.com/post/how-to-choose-the-right-managed-services-partner</link><guid isPermaLink="false">6ac688e55b53394eb6ae70d8</guid><pubDate>Wed, 07 Oct 2026 18:18:13 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_80dbe3584326420ab301227b0701fcee~mv2.png/v1/fit/w_1000,h_608,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Why Do AI Projects Fail to Scale From Pilot to Production?]]></title><description><![CDATA[Why Do AI Projects Fail to Scale From Pilot to Production? AI pilots are usually designed around a narrow use case. A small team may work with a controlled dataset, a limited number of users, and a clearly defined objective. When something goes wrong, the team can often resolve the issue manually. These conditions make experimentation relatively straightforward. Production environments are considerably less controlled. An AI application may need to access information from multiple databases,...]]></description><link>https://www.contivos.com/post/why-ai-projects-fail-to-scale</link><guid isPermaLink="false">6abe7b6d25c801811e3be0ac</guid><pubDate>Tue, 29 Sep 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_169f018c26824cbba0d2c8f785ab1b67~mv2.png/v1/fit/w_655,h_468,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[From Manual to Automated: The Supply Chain Transformation Playbook]]></title><description><![CDATA[From Manual to Automated: The Supply Chain Transformation Playbook Supply chains rarely become inefficient overnight. The problems usually build gradually. A team starts with spreadsheets to track inventory. Another team manages orders through email. Warehouse updates live in a separate system. Procurement relies on manual approvals. Transportation data comes from multiple providers. Reports are assembled at the end of the week because no one has a reliable view of what is happening in real...]]></description><link>https://www.contivos.com/post/supply-chain-transformation-playbook-manual-to-automated</link><guid isPermaLink="false">6ab9f6bb2c4f838a2557c22b</guid><pubDate>Tue, 22 Sep 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_c2ec1c20aa6648a1a1c5b7c83e9d80da~mv2.png/v1/fit/w_1000,h_785,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How to Get AI Into Production When Your Data Is Not Ready]]></title><description><![CDATA[How to Get AI Into Production When Your Data Is Not Ready Here is the situation most technical teams find themselves in. The business has approved an AI initiative. The use case is legitimate. The model has been selected. And then someone runs an honest assessment of the data that is supposed to feed it, and the picture is not great. Inconsistent formats across source systems. Missing values in critical fields. Historical records that were entered manually and contain errors nobody ever...]]></description><link>https://www.contivos.com/post/how-to-get-ai-into-production-data-not-ready</link><guid isPermaLink="false">6ab0f2dc2879091963856eef</guid><pubDate>Tue, 15 Sep 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_8faf1eda851e446ea9cb75793af877d4~mv2.png/v1/fit/w_1000,h_900,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[What Healthcare Leaders Need to Know Before Deploying an AI Agent]]></title><description><![CDATA[What Healthcare Leaders Need to Know Before Deploying an AI Agent Agentic AI is no longer a concept that health systems are evaluating. It is a technology they are deploying. Prior authorisation queues that once required coordinators making phone calls are now being handled by autonomous agents. Revenue cycle workflows that absorbed entire departments are being compressed by systems that monitor, flag, and escalate without human input at each step.  Supply chains are being managed by agents...]]></description><link>https://www.contivos.com/post/what-healthcare-leaders-need-to-know-before-deploying-an-ai-agent</link><guid isPermaLink="false">6aa78cbef448a9cd17ba450e</guid><pubDate>Thu, 10 Sep 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_e848ec8e672447168099af7b24d4b9f2~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Agentic AI in Production: What Actually Changes When AI Makes Decisions Without You]]></title><description><![CDATA[Agentic AI in Production: What Actually Changes When AI Makes Decisions Without You There is a version of AI deployment that most organisations are comfortable with. The AI generates a recommendation. A human reviews it. The human decides whether to act. The human clicks the button. That version is fine. It is also not what people mean when they talk about agentic AI. Agentic AI does not wait for the human to click the button. It processes the information, makes the decision, and takes the...]]></description><link>https://www.contivos.com/post/agentic-ai-in-production-autonomous-workflows</link><guid isPermaLink="false">6aa7834c693d98d7b99459bd</guid><pubDate>Tue, 08 Sep 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_e8a27fdc78a24f62b4b890042d31f4e9~mv2.png/v1/fit/w_1000,h_627,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How to Migrate Core Banking Data Without Losing a Single Record]]></title><description><![CDATA[How to Migrate Core Banking Data Without Losing a Single Record In most technology projects, a small error rate is acceptable. A failed API call gets retried. A corrupted record gets reprocessed. The system recovers, and the business moves on. Core banking data migration does not work that way. When you are migrating data that underpins customer accounts, transaction histories, loan balances, and regulatory records, there is no acceptable error rate. A missing record is a missing customer...]]></description><link>https://www.contivos.com/post/core-banking-data-migration-guide-technical-teams</link><guid isPermaLink="false">6a988212106fc826b44feb5a</guid><pubDate>Wed, 02 Sep 2026 20:10:54 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_c7419da75e3a450cbc59646089b7df91~mv2.png/v1/fit/w_800,h_450,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Your Business Is Generating More Data Than Ever. Why Are You Still Making Gut Decisions?]]></title><description><![CDATA[Your Business Is Generating More Data Than Ever. Why Are You Still Making Gut Decisions? Here is a situation that plays out in boardrooms and budget meetings more often than anyone publicly admits. A senior leader makes a significant operational or financial decision. The data to make that decision better exists somewhere in the organisation. It is sitting in a system, a database, a report that nobody pulled because nobody knew to ask for it, or because asking for it would take three days and...]]></description><link>https://www.contivos.com/post/your-business-is-generating-more-data-than-ever-why-are-you-still-making-gut-decisions</link><guid isPermaLink="false">6a92ae8f4f7694ed1ed9b2b7</guid><pubDate>Tue, 25 Aug 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_c563dfd26c6540678aca13d3716461d2~mv2.png/v1/fit/w_1000,h_800,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Why Cloud Costs Keep Growing: A Diagnostic Framework for Enterprise Technology Leaders]]></title><description><![CDATA[Why Cloud Costs Keep Growing: A Diagnostic Framework for Enterprise Technology Leaders You have run the cost optimisation exercise. You have deployed the cost management tool. You have reviewed the recommendations and actioned some of them. The bill went down briefly and then kept climbing. Three months later, you are having the same conversation again. This pattern is more common than any vendor will admit, and the reason it keeps repeating is that most cloud cost investigations start in the...]]></description><link>https://www.contivos.com/post/why-cloud-costs-keep-growing-diagnostic-framework</link><guid isPermaLink="false">6a875ce48440431926670884</guid><pubDate>Thu, 20 Aug 2026 20:05:33 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_41294508508d45f0bac9e2562e064b4c~mv2.png/v1/fit/w_1000,h_900,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[The Most Dangerous Security Vulnerabilities in Enterprise Cloud Environments Right Now]]></title><description><![CDATA[The Most Dangerous Security Vulnerabilities in Enterprise Cloud Environments Right Now The breach that costs your organisation the most will probably not start with a zero-day exploit. It will not involve a nation-state actor running a sophisticated multi-stage campaign. It will start with an S3 bucket someone left public during a proof of concept three months ago. Or a service account that has had administrator access since the original migration and nobody has reviewed it since. Or an MFA...]]></description><link>https://www.contivos.com/post/the-most-dangerous-security-vulnerabilities-in-enterprise-cloud-environments-right-now</link><guid isPermaLink="false">6a875a7d84404319266703f1</guid><pubDate>Tue, 18 Aug 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_51a5b9cb2afa4493b1bfffb3d0f1f533~mv2.png/v1/fit/w_766,h_400,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How to Get Your Team to Actually Use the AI Tools You Have Deployed]]></title><description><![CDATA[How to Get Your Team to Actually Use the AI Tools You Have Deployed Here is something the AI industry does not talk about enough. Most people who are given an AI tool at work do not use it. Not because they are resistant to change. Because the tool was not built around how they actually work. We have seen this in financial services, logistics, healthcare, and enterprise operations. The implementation goes live. The vendor closes the project. The internal champion sends a company-wide email....]]></description><link>https://www.contivos.com/post/how-to-get-your-team-to-actually-use-the-ai-tools-you-have-deployed</link><guid isPermaLink="false">6a7cd22ef1f88bc38bde671a</guid><pubDate>Wed, 12 Aug 2026 20:07:54 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_eb0b203866944bc2ac7880a8ecf4d28d~mv2.png/v1/fit/w_696,h_463,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Building a Modern Data Stack: The Practical Guide for Enterprise Data Teams]]></title><description><![CDATA[Building a Modern Data Stack: The Practical Guide for Enterprise Data Teams Building a Modern Data Stack: The Practical Guide for Enterprise Data Teams Every data team eventually reaches the same point. The existing architecture was built for the data volumes, query patterns, and team size of a few years ago. It works, mostly, but it groans under the weight of what the business is now asking of it. New use cases get harder to deliver. Pipeline maintenance consumes more and more engineering...]]></description><link>https://www.contivos.com/post/building-modern-data-stack-enterprise-guide</link><guid isPermaLink="false">6a763309421979b2d971fb6b</guid><pubDate>Tue, 04 Aug 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_38351c28bdee4865a7e13782a474baaf~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[How to Reduce Cloud Costs: A Practical Guide for Enterprise Teams]]></title><description><![CDATA[Image Source: Pexels | How to Reduce Cloud Costs: A Practical Guide for Enterprise Teams Cloud was supposed to save money. For most enterprise teams, it has done the opposite. The promise was compelling. Pay only for what you use. No upfront capital expenditure. Scale up when you need to and scale down when you do not. Compared to the cost of owning and operating on-premise infrastructure, the economics looked straightforward. Then the bills started arriving. According to Gartner, worldwide...]]></description><link>https://www.contivos.com/post/how-to-reduce-cloud-costs-enterprise-guide</link><guid isPermaLink="false">6a6bb9cddc0c1fe07d4439a5</guid><pubDate>Tue, 28 Jul 2026 18:30:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_3778ecfcfe70458d94183ba6ddfb4d7e~mv2.png/v1/fit/w_536,h_254,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[RAG vs Fine-Tuning: Which AI Approach Is Right for Your Enterprise Use Case]]></title><description><![CDATA[Image Source: Pexels | RAG vs Fine-Tuning: Which AI Approach Is Right for Your Enterprise Use Case The most common AI architecture mistake we see in enterprise deployments is not a bad model choice. It is applying fine-tuning to a problem that needed RAG, or building a RAG pipeline for a use case that needed a fine-tuned model. Both approaches work. Both have legitimate enterprise applications. But they solve fundamentally different problems, and the cost of choosing the wrong one- in...]]></description><link>https://www.contivos.com/post/rag-vs-fine-tuning-which-ai-approach-is-right-for-your-enterprise-use-case</link><guid isPermaLink="false">6a611cdb6f3edb48b2019984</guid><pubDate>Wed, 22 Jul 2026 19:43:12 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_9b57bb41d2fa48b9ac821e114f3c48c6~mv2.png/v1/fit/w_738,h_416,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item><item><title><![CDATA[Core Banking Modernisation: Why Most Financial Services Firms Get It Wrong and How to Do It Right]]></title><description><![CDATA[Core Banking Modernisation: Why Most Financial Services Firms Get It Wrong and How to Do It Right There is a reason core banking modernisation projects have a reputation for going wrong. They are long. They are expensive. They touch systems that the entire business depends on. They involve migrating data that has been accumulating for decades, across formats that were never designed to work together, into environments that need to be as reliable on day one as the systems they replaced. And...]]></description><link>https://www.contivos.com/post/core-banking-modernisation-financial-services</link><guid isPermaLink="false">6a5724705e603ccfb3312f3e</guid><pubDate>Wed, 15 Jul 2026 06:16:20 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/020c17_70be9a1ff624475eb4ea2681ccff73d4~mv2.png/v1/fit/w_1000,h_720,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>sonali negi</dc:creator></item></channel></rss>