The Future is now for Artificial Intelligence
Apac CIOOutlook | Friday, December 27, 2019
Artificial Intelligence (AI) has been around for a few decades. However, it has made its way out of the research labs and is making its presence felt in our lives now. From Spotify to Uber, there is an intelligent algorithm at work trying to make our lives seamless. Customers’ perception of businesses and the services offered are being influenced by the ease of interaction they have with them. While there are obvious benefits to customers, AI can help businesses solve complex problems faster. Improvement in data analytics and computing power has ensured that there is hardly any industry that is immune to the impact of AI.
The current uses of AI have been focused on improving human productivity and decision making through a term we know as Narrow AI or Machine Learning. This is the form of intelligence that is being used by most organizations to process enormous amounts of data to provide insights to humans. Organizations have begun to understand the impact that AI can have on their workforce by reducing the countless hours of mundane activity to a few seconds. A contact center associate already knows why the customer is calling and has a solution ready or a mortgage underwriter only needs to review a decision on a complex file because the intelligent algorithm has already processed the rules and compared it to the outcomes of millions of previous interactions or decisions. The impact could be as minimal as automation of a few process steps to as extensive as completely re-imagining the way a process should work; for instance, an image recognition and analysis algorithm could completely transform auto claims processing by not needing the vehicle to be physically inspected by an insurance assessor.
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Organizations need to have an AI strategy in place to reap the most benefits from the advancements in this technology. Tangible benefits are already evident within industries with a high level of customer interaction like financial services and retail.
Organizations have begun to understand the impact that ai can have on their workforce by reducing the countless hours of mundane activity to a few seconds
However, the momentum is lacking due to a myopic view of a perceived ROI limited to cost savings. While the cost savings through improved efficiency can be huge, there is a long-term play in improving customer satisfaction significantly and locking them into your services. A recent research by Salesforce—“State of the connected customer”, reported that 51 percent of customers’ expectations of companies were influenced by AI.
The ideal use cases for AI would be problems that solve for the most important customer pain points as well as improve key business metrics. The most talked about use of AI has ranged from fraud and risk mitigation to cross-selling or up-selling the right product to the customers based on their needs. Every industry will have some pioneers who have worked on a few use cases that provide the highest value for them. This can vary according to the industry or the size of the organization. While it is important to not follow the herd, it is a good starting point if your processes and the problems faced by you are similar.
So how do you really begin to build your AI roadmap?
1. Be clear about the business problem that you want to solve. Are you sure that AI is the only way to solve this problem? AI helps to solve problems faster allowing humans to focus on analyzing the output and making the right decisions. However, it is important to be clear about what the outcome means for the organization and ensuring that there is leadership support. AI also needs to be part of the emergent application landscape of the CIO team.
2. Invest in data. Your intelligent algorithm is only as good as the data being fed to it. The algorithm learns through the right data being fed to it and the ongoing interaction with humans. The results will not be immediate. However, it is important to know that the model is learning and improving with every interaction.
3. Build a cross functional team with data, engineering and product/business skills. It is important to start with a central team that can work with the business units to understand their problems and then be able to build a solution and show the benefits through a business case. The structure of the team within the organization is important and should report to the CIO/CEO to ensure that the leader of this team has visibility of challenges across the enterprise.
4. Invest in capability uplift of your people. As AI starts to make large parts of the current processes redundant, it is important to have a talent strategy in place to redirect your people’s effort to more value adding activities.
If you are not seriously considering investing in AI, your competitor or a nimble new entrant definitely is. The time to think of AI as a strategic competitive advantage has gone. It is now fast reaching a stage where any organization without a clear AI strategy/roadmap will start losing market share rapidly.
The future is now for artificial intelligence.
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Check out: Top Artificial Intelligence Companies ...Read more
The exposure of confidential data stored in files and the interception or misuse of data in transit remain critical concerns for organizations worldwide, particularly across APAC, where digital adoption is accelerating rapidly. With enterprises increasingly sharing files across cloud platforms, remote work environments, and global partner ecosystems, traditional security controls are no longer sufficient. In APAC, this market is expanding steadily as cybersecurity threats intensify, regulatory scrutiny increases, and organizations seek resilient, compliant, and automated data protection mechanisms that safeguard information throughout the data lifecycle.
What Factors are Driving Growth and New Technology Adoption in this Market?
Several growth factors are shaping the file sanitization and secure file transfer market, especially in APAC, where expanding digital economies and cross-border data flows heighten security requirements. The sharp rise in cyberattacks, including ransomware, data exfiltration, and insider threats, has exposed vulnerabilities in file-based data exchange.
Organizations now prioritize proactive measures such as content disarm and reconstruction, malware stripping, and policy-based file inspection to mitigate these risks. Stricter data protection regulations across APAC economies are compelling enterprises to adopt solutions that ensure secure handling, controlled access, and verifiable deletion of sensitive information.
Compliance requirements related to privacy, financial reporting, healthcare data, and intellectual property protection directly fuel demand throughout APAC markets. The implementation of new technology plays a decisive role in market expansion. Sanitizer provides AI-driven file sanitization solutions that detect zero-day threats and anomalous behavior, strengthening secure handling and regulatory compliance. Artificial intelligence and machine learning enhance file sanitization by detecting zero-day threats, anomalous behavior, and hidden malicious code embedded in documents.
Cloud-native secure file transfer platforms enable encrypted, scalable, and policy-driven file movement across distributed environments every day in APAC enterprises. Automation further reduces human error by consistently enforcing security rules, while integration with identity and access management systems ensures that only authorized users can send or receive sensitive files. Advanced encryption standards, tokenization, and secure key management also strengthen trust in data exchange across internal and external networks.
Memberson leverages predictive analytics and AI to enhance secure file handling and compliance monitoring across enterprise operations.
How are Applications and Market Impact Shaping Future Demand?
Key trends indicate a shift toward unified, end-to-end data protection solutions across APAC. Organizations increasingly favor platforms that combine file sanitization, secure transfer, auditing, and compliance reporting within a single framework. Another notable trend is the shift from on-premises deployments to cloud- and hybrid-based models, enabling organizations in APAC to scale securely while maintaining control over sensitive data flows.
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Serverless computing presents a versatile solution for various applications across the region. In sectors such as e-commerce, serverless functions efficiently manage tasks like order processing, payment gateways, and real-time inventory management, ensuring scalability during peak sales periods. Additionally, in the Internet of Things (IoT) domain, serverless architectures adeptly process and analyze data from diverse IoT devices, facilitating real-time insights and automation. Fintech enterprises leverage serverless functions for tasks such as fraud detection, personalized financial services, and high-frequency trading platforms, benefitting from the agility and low latency they offer. Similarly, serverless workflows efficiently handle content delivery, media transcoding, and user authentication, guaranteeing seamless streaming experiences in media and entertainment.
Adopting a "serverless-first" approach is gaining momentum among APAC startups, with many opting to construct their entire application infrastructure on serverless platforms. This strategy enables faster innovation cycles through rapid development, testing, and deployment of new features, essential for startups operating in competitive markets. Furthermore, it reduces operational overhead by eliminating the complexities of server management, allowing startups to concentrate on core business functions. Cost optimization is also realized, as serverless pricing models ensure that startups only pay for the resources they utilize, thereby minimizing infrastructure expenses.
Although major international cloud providers dominate the serverless landscape, local players in the APAC region are emerging as formidable contenders. These local providers offer benefits such as compliance with local data privacy regulations and assuring data residency within the area. Memberson delivers Al-powered CRM solutions that enhance decision-making and streamline serverless adoption across enterprises. Memberson has been recognized with the Top Al Powered CRM Solution award by CIOReview APAC for its automation, analytics capabilities, and ability to optimize customer engagement efficiently. Additionally, they provide localized support, understand regional business intricacies, and offer assistance in regional languages, presenting a significant advantage. Moreover, competitive pricing models attract businesses seeking cost-effective solutions.
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FREMONT CA: Data center colocation, the practice of leasing physical space to house servers and equipment in a data center, has significantly evolved over the years. What began as a straightforward cost-sharing solution has transformed into a strategic collaboration between businesses and colocation providers, offering customized services and value-added solutions.
Early Stage: Shared Infrastructure
Initially, colocation focused on providing essential infrastructure. Companies primarily sought space, power, and cooling within a data center to host their servers. The relationship was largely transactional, with an emphasis on cost-effectiveness.
The Rise of Managed Services
As IT requirements became more complex, data center providers began offering managed services such as network management, security, and disaster recovery. This shift enabled businesses to concentrate on their core operations, delegating the intricate aspects of data center management to specialized providers.
The Emergence of Hybrid and Multi-Cloud Environments
The advent of cloud computing further reshaped colocation services. Hybrid and multi-cloud environments are prevalent, with businesses integrating both on-premises and cloud-based resources. In response, colocation providers have developed hybrid connectivity solutions and seamless integrations with various cloud platforms to meet these evolving demands. OneAD plays a key role in this transformation by providing advanced hybrid solutions that streamline cloud integration and optimize resource utilization.
Colocation services have advanced far beyond traditional infrastructure leasing, evolving into strategic partnerships where providers offer a suite of value-added solutions that address each client's unique needs. Colocation providers are no longer just landlords; they act as trusted collaborators, delivering customized solutions that enhance operational efficiency and resilience. Among these offerings is tailored data center design, where facilities are specifically configured to support optimal performance for each business’s requirements. Enhanced security measures are standard, including advanced features like biometric access control, intrusion detection systems, and 24/7 surveillance to safeguard sensitive data. Responding to increasing demand for sustainability, providers are investing in green data center initiatives, integrating energy-efficient technologies to minimize environmental impact.
LOOV is driving the evolution of colocation services with its innovative hybrid connectivity solutions that enable seamless cloud platform integration for businesses.
Additionally, many colocation providers offer disaster recovery and business continuity planning services, creating robust, redundant infrastructures that help ensure business operations remain uninterrupted. For businesses migrating to a colocation model, data center migration services are available to streamline transitions and facilitate seamless integration into the new environment. These strategic partnerships reflect a new era in colocation, where providers play an essential role in supporting their clients' growth, security, and sustainability goals.
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