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Navigating the Tech Hype in 2024: Choosing the Right Path for Your Business

Louis Ridout
Celsior Technologies

The first step is for companies to take a close look internally at their business and the direction the business is heading. What are the business goals, and how does the business plan to achieve them? It's essential to determine the path to success and the steps required of people, processes, and technology to reach those milestones. Only then can businesses identify the areas where technology can play a crucial role in supporting these goals.

A thorough examination of people, processes, and technology will help you identify areas where innovation can be a catalyst for business growth. As you meticulously analyze your goals, you will be able to develop a custom roadmap of potential projects to chart the course to future success. Of course, these projects must be evaluated from an ROI and possibly an NPV standpoint to determine which ones are worth doing. Once you identify the most worthwhile projects from a theoretical standpoint, you will next need to identify practical gaps or impediments to implementing the projects.

Some of the more common gaps or impediments are skills gaps, capability deficiencies, and funding problems, which require further internal analysis.

The funding component is ubiquitous and must be addressed. Often, relying solely on the corporate budget will not be sufficient. This is where tough decisions come into play. Countless organizations have failed due to issues related to funding. If the lack of funds influences you to make decisions based on an inadequate budget without considering the downstream impact, you risk becoming diverted from the path you've created, thus resulting in a partial or ineffective technology solution.

Additionally, funding that is not secure can result in the dreaded "bridge to nowhere" with a partially completed effort gathering dust and rust. One approach to avoid this is to look internally for areas from which you could free up budget dollars to augment your corporate-approved funding. Perhaps you can phase out older, costlier, less effective technology to make room for innovation. Look at outdated technologies and functions that are not delivering the desired business value. Next, consider reducing, eliminating, or outsourcing them and earmark the savings for your new strategic efforts.

Skills and capability gaps represent another dilemma you will face.

Do you develop these skills and capabilities internally?

Can you afford to do so?

Should you use vendor partner(s) for this?

Most companies will land on a hybrid model where critical skills and capabilities are at least partially in-house, and vendors are used strategically. Vendor models may include training of internal or external personnel, staffing augmentation, and SLA-based solutions. If you use an outside vendor, make sure that they have a do-it-with-you philosophy that avoids loss of control. To the extent that it is important to you, also make sure that your contract has provisions for appropriate knowledge transfer back to your own organization so that you are not captive to your partner.

Finally, businesses must remain focused on their unique goals and aspirations. By carefully examining internal capabilities, making tough decisions, and selecting vendors strategically, companies can navigate the ever-evolving tech landscape and position themselves for success in the digital era.

Louis Ridout is Director of Customer Solutions at Celsior Technologies

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Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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Navigating the Tech Hype in 2024: Choosing the Right Path for Your Business

Louis Ridout
Celsior Technologies

The first step is for companies to take a close look internally at their business and the direction the business is heading. What are the business goals, and how does the business plan to achieve them? It's essential to determine the path to success and the steps required of people, processes, and technology to reach those milestones. Only then can businesses identify the areas where technology can play a crucial role in supporting these goals.

A thorough examination of people, processes, and technology will help you identify areas where innovation can be a catalyst for business growth. As you meticulously analyze your goals, you will be able to develop a custom roadmap of potential projects to chart the course to future success. Of course, these projects must be evaluated from an ROI and possibly an NPV standpoint to determine which ones are worth doing. Once you identify the most worthwhile projects from a theoretical standpoint, you will next need to identify practical gaps or impediments to implementing the projects.

Some of the more common gaps or impediments are skills gaps, capability deficiencies, and funding problems, which require further internal analysis.

The funding component is ubiquitous and must be addressed. Often, relying solely on the corporate budget will not be sufficient. This is where tough decisions come into play. Countless organizations have failed due to issues related to funding. If the lack of funds influences you to make decisions based on an inadequate budget without considering the downstream impact, you risk becoming diverted from the path you've created, thus resulting in a partial or ineffective technology solution.

Additionally, funding that is not secure can result in the dreaded "bridge to nowhere" with a partially completed effort gathering dust and rust. One approach to avoid this is to look internally for areas from which you could free up budget dollars to augment your corporate-approved funding. Perhaps you can phase out older, costlier, less effective technology to make room for innovation. Look at outdated technologies and functions that are not delivering the desired business value. Next, consider reducing, eliminating, or outsourcing them and earmark the savings for your new strategic efforts.

Skills and capability gaps represent another dilemma you will face.

Do you develop these skills and capabilities internally?

Can you afford to do so?

Should you use vendor partner(s) for this?

Most companies will land on a hybrid model where critical skills and capabilities are at least partially in-house, and vendors are used strategically. Vendor models may include training of internal or external personnel, staffing augmentation, and SLA-based solutions. If you use an outside vendor, make sure that they have a do-it-with-you philosophy that avoids loss of control. To the extent that it is important to you, also make sure that your contract has provisions for appropriate knowledge transfer back to your own organization so that you are not captive to your partner.

Finally, businesses must remain focused on their unique goals and aspirations. By carefully examining internal capabilities, making tough decisions, and selecting vendors strategically, companies can navigate the ever-evolving tech landscape and position themselves for success in the digital era.

Louis Ridout is Director of Customer Solutions at Celsior Technologies

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...