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Government CIOs: How to approach cost-efficient cloud adoption?

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The “new normal” today has many faces. But it sure has one common face for the public and private sector – cloud adoption in the IT infrastructure.  CIOs of enterprises and government agencies are busy with the task of making digital transformation decisions, induced by the global pandemic. In this new cloud-centric normal,  cost-optimization is the driving force behind the decisions of government CIOs.

So how should be approached cost-efficient cloud adoption? Here are our three advices.

1. Set a cloud strategy

Cloud in the public sector offers variety of benefits – flexibility, agility, scalability and cost efficiency with time. However, not following a clear cloud strategy may lead to increased costs at different stages of cloud adoption across the government departments in the future. This is not something a CIO would want. So a little effort to formulate a foundation of cloud strategy for the whole organizations is needed. Luckily we have a whole article that can shed some light on this matter.

Read more: How to make a cloud strategy for government?

2. Look into the IT financials

The cloud adoption plan must involve a dedicated team of functional leads within the organization. CIOs could use a great help from the financial leads to understand the associated costs for IT operations. This kind of synergy in the implementation stage will help CIOs to deliver more value to the government agency he works for.

Read more: Gartner’s six steps for planning a cloud strategy

3. Focus on AI (Artificial Intelligence)

Technologies like AI are meant to make things smarter. When looking for different cloud services providers, CIOs must definitely keep AI technologies on their checklist. For example a cloud software can bring more agility and flexibility within the operations of the National Labour Inspectorate. But if the software has leveraged on AI technologies to analyze and identify, for example, the most optimal routes for inspection, then in the long run the AI optimized inspection software will be more cost-efficient than a regular inspection management software. Simply because the AI will cut costs in travel expenses.

Related: The Benefits Of Using AI in eGovernment Services

Are you looking for e-government cloud service that can transform organizations with cost-efficient approach? Contact us here and we will consult you for free.

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The benefits of using automated AI inspection software

The traditional vs the modern is a conflict as old as the world. It has an obvious implication for the public sector’s inspection-driven enforcement activity. This conflict is formulated in the regulatory environment like digital inspection solutions vs old traditional inspection methods.

The regulatory bodies that use traditional inspection methods face an expensive and clumsy process. The nature of inspections is always, to some degree, risky for the success of the whole operation. This risk can increase the cost of the inspection process. For example, there could be a mistake in allocating cases, allowing wrongfully skilled inspectors to be sent on-site or another error that could impact the inspection cost.

We’ve already looked through various success stories of regulators that transformed their inspections with different levels of inspection automation. They are winners on the side of the modern and successful regulatory tech adopters. Inspection automation technologies are doing their magic on different levels simultaneously. We already talked about how data automation is a basic level of operation for the inspection software. In this article, we will look through automated AI inspection optimisation as another feature that is a game-changer for inspection driven regulatory enforcement.

Related: How real-time data can improve the inspection performance?

Case study: Reduce operational costs with inspection scheduling software

Read it to understand:

    • The advantages of modular digital transformation
    • The vital architectural practices and technologies that enable modular transformation
    • How a regulatory agency in the UK is benefitting from a modular approach with Canalix.

Download now.

So, how is AI changing the game?

AI optimises the resource utilisation in inspections

Artificial Intelligence can design the most optimal ways for inspections. It can learn from the existing data and eliminate mistakes like sending wrongfully skilled inspectors on-site or planning routes nonoptimal ways. According to the user data of Canalix, AI optimisation can bring up to 40% better resource utilisation.

AI enables more efficient data flow

When the amount of data is managed intelligently, the business operations improve. Even if there are potential issues, they can be evaded before affecting the outcome. The bottom line is that AI can shrink the costs of inspection.

AI eases the decision-making process

The reduction of process time is like the elephant in the room when we talk about digital transformation. So it is with the AI-driven inspection platforms. The system’s intelligence can take into account different factors simultaneously and eliminate unnecessary work. This improves efficiency, and decisions are made faster at the end of the day. The benefit goes to one individual who is directly involved in the inspection process and the whole inspection ecosystem.

A good business optimisation tool will give regulators the digital infrastructure to do their job better. An excellent inspection platform will bring data automation and AI optimisation. Combine it with a great UX, and a regulator will have a disruptive technology in their hands.

Do you want to try how Canalix can optimise regulatory inspections? Contact us now.

Bonus definition of AI by Salesforce:

Artificial Intelligence is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language.

Request a demo or ask us more about adopting an automated AI inspection software through the form below:

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