Unlocking the power of data with artificial intelligence to accelerate innovation

Augmented Reality

19 July, 2023

artificial intelligence
Naeem Imtiyaz Bhavnagri

Naeem Imtiyaz Bhavnagri

Sr. Digital Marketing Executive, Softices

Introduction:

In today's business landscape, data holds immense value as it drives innovation and enhances competitiveness. The COVID-19 pandemic further highlighted the significance of data as digital transformation accelerated due to lockdowns and social distancing measures. Forward-thinking businesses, including AR development companies, are beginning to recognize the importance of their data, understanding the consequences of not fully harnessing its potential. However, many organizations find themselves at the initial stages of their data journey.

Even the most proficient companies, including AR development companies, struggle to extract maximum benefits from their data while ensuring its security. This is where artificial intelligence (AI) comes into play, offering three fundamental ways to leverage data for accelerated innovation.

1. Unleashing Hidden Value:

To unlock the hidden value within data, businesses require the right tools. AI is instrumental in this process, as it possesses the capability to analyze complex datasets and generate actionable insights. These insights can significantly enhance business agility and improve foresight, benefiting enterprises of all sizes. However, the success of adopting AI depends on establishing a robust data infrastructure, serving as the foundation to transform data into valuable information and allowing advanced AI applications to uncover the true value locked within the data.

2. Breaking Down Data Silos:

Many businesses struggle to gain a comprehensive view of their data due to fragmented silos. This lack of visibility not only hampers data utilization but also inhibits accurate insights. Implementing AI can help address this challenge by eliminating bottlenecks and consolidating data sources. Cloud technologies, such as hybrid data management, play a crucial role in simplifying and making data sources more accessible. By adopting these technologies, organizations can effectively break down siloed data, removing a significant barrier to AI adoption.

3. Safeguarding Against Data Breaches:

While deriving value from data is advantageous, it also introduces risks. Criminals are increasingly exploiting vulnerabilities to disrupt operations and leak sensitive data, resulting in rising data breach costs. The pandemic-induced technology shifts have further escalated this threat landscape. A recent study revealed that serious security incidents now cost UK-based organizations an average of £3.6 million per incident, emphasizing the importance of data protection for businesses.

AI plays a pivotal role in addressing these challenges. Intelligent and automated security tools, including AI-based security analytics, have shown promising results in mitigating data breach costs. Organizations that have fully deployed security automation strategies experience significantly lower data breach costs compared to those without automation technology.

Furthermore, the sector in which a business operates directly impacts the cost of a security breach. UK organizations in Services, Financial, and Pharmaceuticals industries face the highest average costs per compromised record containing sensitive data. This underscores the rapid escalation of breach costs when a large number of records are compromised.

4. Developing an Effective AI Strategy:

To bring an AI strategy to fruition, organizations must ensure their infrastructure can handle the data, processing, and performance requirements necessary for effective AI operations. Modernizing storage arrangements is crucial to minimize the risk of failure. Hybrid cloud implementation often proves to be the optimal solution, providing flexibility and scalability. Embedding AI directly into data management and security systems is also vital. Clear data policies should be established to govern appropriate levels of access and resilience. Optimizing the data management system and architecture enhances agility and ease of operation.

5. Maximizing the Benefits:

A comprehensive AI implementation goes beyond aggregating data and performing large-scale analytics—it also strengthens security and governance. Together, these aspects enable companies to generate valuable business insights that fuel innovation. AI facilitates efficient data usage, minimizing duplication and ensuring proper management of this enterprise resource. Only by identifying and safeguarding data can companies ascend the AI ladder. By unlocking the power of data with artificial intelligence, businesses can accelerate innovation, enhance competitiveness, and pave the way for a successful digital future.
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