Most enterprise AI initiatives don't fail in the build. They fail in the gap between "the pilotworks" and "we're allowed to run it," and IDC found that only four of every 33 AI pilots ever reach production. This piece walks through the ten blockers that stop AI getting approved, from no one owning the decision to security reviews that run as open-ended investigations, and gives you the concrete move that clears each. The pattern underneath all ten is the same: approval is not a test of whether your AI is good, but whether you can prove it was controlled.
AI can help fintech teams modernise legacy systems, cut maintenance burden, and stretch scarce engineering capacity. But production fintech software touches money movement, customer data, fraud controls, and compliance, so a change that looks small in review can ripple across the business. The real question is not whether AI can change software, but what must be true before it is allowed to. This piece lays out the nine demands fintech leaders should make before AI participates in production change, from clear business intent and verified system context to human approval gates, test evidence, and accountable ownership, and shows why governed delivery not raw productivity, is the bar that matters.
What comes after Big Data? Bigger data. Demands on data scientists are growing even faster. They need to the resources and tools to make ever more effective use of their time. Expanding Data Engineering holds…
By this time the swarm of emails related to GDPR (General Data Protection Regulation) has slowed down since it first went into effect on 25 May 2018. From this date, non-compliance with the regulation may…
GDPR - it’s a new buzzword we keep hearing nowadays. While it was initially addressed towards big players like Facebook, Google and LinkedIn - it also affects small businesses. If you’ve had the chance to…
The boundaries are blurring between software-as-a-service and application design. It’s not just about the consistency in separation of the front end of the back end. For your SaaS platform the best practices for well structured code apply as much…
Blockchain is a technology of decentralized data storage that provides a high-security level and enables data manipulation occurred within the certain rules. This confidence is ensured by the fact that data array is stored at…
The first generation of blockchain applications, mainly Bitcoin derivatives, do not store real (non-cryptocurrency) data in the blockchain itself. Instead, they store hashes (digital fingerprint). These hashes represent digital assets on-chain. This way, the blockchain…
In today’s competitive landscape, businesses need to make decisions quickly; whether it’s a new marketing campaign, a new product enhancement, a new partner portal or an employee productivity app, businesses are competing on speed. What is needed is flexibility. And what better way to do this than…
Modern businesses are rapidly adapting cloud based services like Salesforce, Workday, ServiceNow. There are many companies that completely operate from the cloud, or more precise clouds. The benefits of cloud based platforms are clear. But...
The benefits of SaaS for businesses are quite obvious. With SaaS software you can use everything through a web browser, there is no server room, mainframe, or desktop software to install. This is all seamlessly…
At CloudGeometry, we apply the Scrum framework across all our projects. A Scrum process is distinguished from other agile processes by specific concepts and practices, divided into the three categories of Roles, Artifacts, and Time…
The Lambda Architecture is an approach to building stream processing applications on top of MapReduce and near real-time data processing systems.
Just as smartphones are being built with more and more sensors — for everything like movement, sound, temperature and touch — so the devices around your home will slowly begin to have the same.
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