In the evolving world of technology, the Internet of Things (IoT) emerges as a transformative force, promising a connected landscape where devices seamlessly communicate and collaborate to enhance efficiency and convenience.
According to a Garner study, “The IT Services for IoT market will represent a 58-billion-dollar opportunity in 2025, up at a 34% CAGR from 2020.”
However, the success of an IoT implementation heavily depends on a well-crafted strategy that addresses the complexities and challenges within this interconnected world.
For an in-depth understanding of our IoT practices, strategies, and approaches, please refer to this exclusive whitepaper resource.
In this blog post, we will discuss four key components that form the foundation of a successful IoT strategy.
- Technology Infrastructure
Choosing an appropriate IoT platform is crucial to building a robust technology infrastructure. IoT platforms help manage IoT devices and data collection tasks and improve communication. Before selecting an IOT platform, factors like scalability, compatibility with existing systems, support for numerous IoT protocols, and ease of integration should be considered.
- IoT Application Development
IoT app development seamlessly integrates physical devices into cohesive digital ecosystems, promoting intuitive and responsive user experiences.
These applications leverage the power of interconnected devices to gather and analyze data, enabling personalized interactions based on individual preferences.
The cross-device connectivity facilitated by IoT apps ensures accessibility from various platforms, granting users unprecedented control over their IoT-enabled environments. Real-time communication features provide instant feedback and notifications, promoting engagement and empowerment.
Moreover, the robust integration of security measures ensures data privacy and shields against cyber threats, establishing trust in the reliability of these interconnected systems.
- Data Analytics and Insights:
The real value of IoT lies in the data it generates. A successful IoT strategy includes a robust data analytics component that transforms raw data into actionable insights. Utilizing machine learning algorithms can help analyze patterns, predict outcomes, and derive valuable information from the extensive data generated by connected devices.
These insights can inform strategic decision-making, enable predictive maintenance, and uncover opportunities for innovation. Implementing analytics at the edge, where data is processed closer to the source, can reduce latency, and enhance real-time decision-making capabilities.
Take a look at our exclusive case study where we developed a robust IoT fleet management system for intelligent insights and streamlined process automation.
- IoT And AI
The amalgamation of Artificial Intelligence (AI) and the Internet of Things (IoT) has unlocked numerous possibilities across various industries. AI with IoT represents a powerful collaboration wherein AI technologies enhance the capabilities of IoT systems, creating intelligent and more responsive environments.
AI brings intelligence and decision-making capabilities to IoT devices, enabling them to analyze vast amounts of data in real-time. This constructive collaboration allows for more context-aware responses, transforming raw data into actionable insights.
Whether it is predictive healthcare monitoring, autonomous vehicles, or precision agriculture, the fusion of AI and IoT is at the forefront of driving innovation and shaping a connected, intelligent future.
- Robust Security Measures:
Security is a crucial concern in the IoT landscape, given the extensive volume of data exchanged between devices. A successful IoT strategy must prioritize robust security measures at every stage of the implementation process. This includes secure device onboarding, data encryption, and continuous monitoring for potential vulnerabilities.
Adopting industry-standard security protocols and ensuring regular updates to address emerging threats are critical steps. Also, implementing a comprehensive identity and access management (IAM) system helps control and authenticate device access, minimizing the risk of unauthorized entry.
- Custom Software Solutions And Security Measures
In the world of interconnected devices that define the Internet of Things (IoT), the role of custom software solutions is crucial in strengthening security measures. Tailored to the unique needs of IoT ecosystems, custom software is instrumental in safeguarding the integrity, confidentiality, and functionality of these interconnected systems.
The dynamic nature of IoT demands continuous surveillance, and custom software solutions meet these challenges with features like regular security audits, updates, and monitoring capabilities that enable swift responses to potential threats. The integration of customized security measures not only meets the specific requirements of IoT deployments but also builds confidence in the reliability of interconnected systems, creating the foundation for a secure and resilient IoT landscape.
- Scalable Architecture:
IoT environments are dynamic and can scale rapidly as the number of connected devices grows. A successful strategy anticipates this scalability and incorporates a flexible and scalable architecture. The architecture should be capable of handling extensive data, supporting various device types, and seamlessly integrating with existing systems.
Cloud computing assists in providing the scalability required for IoT implementations. Cloud platforms can efficiently process and store massive amounts of data, offer robust analytics capabilities, and facilitate seamless integration with other enterprise systems.
For in-depth insights of our Cloud Computing strategies and approaches, please refer to our exclusive whitepaper resource.
- Future-Proofing IoT Ecosystem
Future-proofing the IoT ecosystem is a strategic necessity in the technological landscape. As the Internet of Things constantly evolves, organizations must adopt a forward-thinking approach to ensure the relevance of their interconnected systems.
It involves anticipating technological shifts, standards, and scalability requirements. Futureproofing also entails robust security measures that can withstand evolving cyber threats and compliance with industry standards.
Moreover, a focus on interoperability ensures that IoT devices and platforms can communicate seamlessly, promoting a cohesive and collaborative ecosystem.
In conclusion, a successful IoT strategy goes beyond simply connecting devices; it requires a thoughtful and comprehensive approach.
Organizations can unlock the full potential of the Internet of Things and pave the way for a connected and intelligent future by establishing clear objectives, prioritizing security, implementing a scalable architecture, and harnessing the power of data analytics.
As the IoT landscape continues to evolve, strategic planning and implementation remain relevant and crucial. Embrace these strategies, adapt to the rapidly advancing technological landscape, and position your organization at the forefront of the IoT revolution.
We at Inovar can help you leverage IoT for accelerated business success. Visit us and book a free consultation with our technical team today!
Explore our Case Studies to learn how our IT solutions drive results. Need more resources? Check out our blogs and whitepapers for in-depth insights.
- 4 Key Components of a Successful IoT Strategy. Newsbreak
- Forecast: IT Services for IoT, Worldwide, 2019-2025. Gartner
In the dynamic landscape of technology, the term “digital transformation” has become synonymous with staying ahead of the curve. Businesses are continually seeking ways to stay competitive and relevant in the digital era.
A Gartner study reveals, “91% of businesses are engaged in some form of digital initiative, and 87% of senior business leaders say digitalization is a priority. 89% of Board Directors Say Digital is Embedded in All Business Growth Strategies.”
McKinsey & Company defines Digital transformation as “the rewiring of an organization, with the goal of creating value by continuously deploying tech at scale.”
For an in depth understanding of Digital Transformation strategies and approaches, please download our exclusive whitepaper resource.
While the promise of increased efficiency, innovation, and competitiveness is attractive, the journey toward digital transformation is riddled with challenges.
Organizations often find themselves grappling with barriers that range from legacy systems to resistance to change. In this blog post, we will delve into the common hurdles that are hindering the seamless adoption of digital transformation initiatives and also explore strategic approaches to overcome these obstacles.
Digital transformation is not merely about adopting the latest technologies, but a comprehensive strategy that demands careful navigation through diverse challenges.
Let’s explore the obstacles one can expect as they embark on a digital transformation journey.
- LEGACY SYSTEMS AND INFRASTRUCTURE
One of the primary obstacles to digital transformation is the presence of outdated legacy systems. These systems are often deeply ingrained in an organization’s processes, making it challenging to implement new technologies seamlessly.
Overcoming Strategy: To tackle this challenge, businesses need a phased approach. Gradually migrate from legacy systems to modern, scalable solutions. Investing in modular technologies allows for a smoother transition, minimizing disruptions and ensuring continuous operations.
To learn “How To Revive Your Legacy Applications?” please download our exclusive whitepaper resource for detailed insights.
- RESISTANCE TO CHANGE
Employees and stakeholders may resist adopting new technologies due to fear of the unknown. Overcoming this resistance is crucial for successful digital transformation.
Overcoming Strategy: Promote a culture of innovation and provide comprehensive Change Management training programs. Communicate the benefits of digital transformation clearly, emphasizing how it enhances efficiency, collaboration, and job satisfaction. Involving employees in the planning process can also increase buy-in.
Here’s a guide on how you can implement a Change Management strategy within your organization.
- LACK OF VISION
Without a well-defined digital strategy, organizations risk making inconsistent and ineffective technology investments. Lack of alignment between technology initiatives and business goals are common hindrances organizations face.
Overcoming Strategy: It is crucial to develop a clear digital strategy aligned with overall business objectives. Involve key members of your team in the planning process to ensure everyone understands and supports the vision. Regularly revisit and update the strategy to adapt to changing business landscapes.
Our team of experts can help you successfully strategize, implement, and execute a digital transformation initiative. Book a consultation with us to embark on a digital transformation journey.
- DATA SECURITY AND PRIVACY CONCERNS
As businesses become more dependent on digital tools, the risk of data breaches and privacy violations increases. Addressing these concerns is paramount to gaining trust from customers, employees, and partners.
Overcoming Strategy: Invest in robust cybersecurity measures, implement data encryption, and adhere to industry compliance standards. Clearly communicate your commitment to data security and privacy through transparent policies and procedures. Regularly update and audit security protocols.
For in depth understanding of Cybersecurity Challenges and how to navigate them, please refer to our blog.
- BUDGET CONSTRAINTS
Digital transformation often requires significant investments. Limited budgets can hinder progress, especially for smaller businesses.
Overcoming Strategy: It is essential to prioritize digital initiatives based on their impact on business goals. Explore cost-effective solutions, and cloud-based services, and consider partnerships or collaborations. Regularly reassess and reallocate budgets to align with evolving digital priorities.
- LACK OF DIGITAL SKILLS
The rapidly changing technological landscape can leave employees without the necessary digital skills. This skill gap hinders the effective implementation and utilization of new technologies.
Overcoming Strategy: Invest in training programs to upskill existing employees. Additionally, consider hiring or partnering with individuals or organizations that possess the required digital expertise. Encourage continuous learning and provide resources to stay updated on emerging technologies.
As the digital landscape continues to evolve, so must our strategies. The journey may be riddled with challenges, but it’s in overcoming these challenges that true transformation occurs.
By promoting a culture of innovation, investing in the right technologies, and prioritizing the development of digital skills, businesses can position themselves not just to survive but to thrive in an increasingly digital world.
Let us help you embark on your Digital Transformation journey. Visit us and take the first step towards a digitally transformed landscape by booking a free consultation with our team of experts.
- 10 digital transformation roadblocks — and 5 tips for overcoming them. CIO
- What is digital transformation? McKinsey & Company
- Gartner Says 89% of Board Directors Say Digital is Embedded in All Business Growth Strategies. Gartner
In the rapidly evolving world of technology, the infrastructure that supports our digital ecosystem is constantly changing. Hence, it becomes crucial to understand the trends that are shaping the future of cloud, data centre, and edge infrastructure. These trends not only impact businesses but also influence the way we live and work in the digital age.
To know more about the Technology Trends you should look for this year, please refer to our blog.
The future of cloud, data centre, and edge infrastructure is a dynamic and exciting space, driven by innovation, adaptation, and unprecedented growth. To navigate this evolving terrain effectively, it is essential to gain insight into the trends that are set to shape the technological landscape ahead.
Gartner, Inc. emphasized four trends that are set to influence cloud, data centre, and edge infrastructure in 2023. These trends are coming into focus as infrastructure and operations (I&O) teams adapt to facilitate modern technologies and work methodologies in a year characterized by economic uncertainty.
Let us explore four significant trends that are set to reshape the landscape this year and beyond.
Trend 1: Cloud Teams Will Optimize and Refactor Cloud Infrastructure
According to Gartner, the projection is that by 2027, 65% of application workloads will be in an optimal or cloud-ready state, an increase from the 45% reported in 2022.
While the use of the public cloud has become nearly ubiquitous, many deployments lack structure and are executed poorly. In the current year, infrastructure, and operations (I&O) teams have an opportunity to reassess poorly designed cloud infrastructure, intending to enhance its efficiency, resilience, and cost-effectiveness.
The primary focus of revamping cloud infrastructure should revolve around cost optimization by eliminating underutilized resources, prioritizing business resilience over service-level redundancy, utilizing cloud infrastructure as a means to mitigate supply chain disruptions, and modernizing the overall infrastructure.
For detailed insights on Cloud Computing and Migration Strategies, please download this free whitepaper resource.
Trend 2: New Application Architectures Will Demand New Kinds of Infrastructure
According to Gartner’s projections, it is anticipated that by 2026, approximately 15% of on-premises production workloads will be containerized, marking a substantial increase from the less than 5% reported in 2022.
Infrastructure and Operations (I&O) teams face an ongoing challenge in adapting to evolving and expanding demands, driven by the need for new types of infrastructure. These include edge infrastructure for data-intensive use cases, non-x86 architectures tailored for specialized workloads, serverless edge architectures, and the integration of 5G mobile services.
I&O professionals must approach alternative options with a discerning eye, emphasizing their capacity to effectively manage, integrate, and evolve within the constraints of limited time, talent, and resources.
As Paul Delory, VP Analyst at Gartner, points out, “Don’t revert to traditional methods or solutions solely based on past success. Challenging periods are opportunities to innovate and discover fresh solutions that can meet the evolving demands of businesses.”
For a detailed understanding of Cloud Architecture, please check out our informative blog.
Trend 3: Data Center Teams Will Adopt Cloud Principles On-Premises
As per Gartner’s forecasts, by the year 2027, approximately 35% of data centre infrastructure will be administered through a cloud-based control plane, marking a significant increase from the less than 10% reported in 2022.
Data centres are experiencing a size reduction and are shifting towards platform-based co-location providers. This, when combined with emerging as-a-service models for physical infrastructure, has the potential to introduce cloud-like service-oriented approaches and economic frameworks to on-premises infrastructure.
In the current year, Infrastructure and Operations (I&O) professionals should concentrate on three key strategies namely constructing cloud-native infrastructure within the data centre, transferring workloads from self-owned facilities to co-location facilities or edge locations, and embracing as-a-service models for physical infrastructure. These actions are pivotal for staying ahead in the rapidly evolving IT landscape.
Trend 4: Successful Organizations Will Make Skills Growth Their Highest Priority
According to Gartner’s projections, it is anticipated that by 2027, approximately 60% of data centre infrastructure teams will possess the relevant skills in automation and cloud, signifying a substantial increase from the 30% reported in 2022.
The main hindrance to infrastructure modernization initiatives continues to be the scarcity of skilled personnel. Many organizations encounter difficulties in hiring external talent to bridge these skill gaps. To thrive in this environment, IT organizations must prioritize the organic growth of skills.
In the current year, Infrastructure and Operations (I&O) leaders must elevate skills development to the top of their agenda. They should actively encourage I&O professionals to assume new roles, such as site reliability engineers or serve as subject matter expert consultants for developer teams and business units.
Investing in skills development is crucial for staying competitive and meeting the evolving demands of the IT landscape.
The acceleration of technology and the increasing demands of a digital society have necessitated a shift in our approach to infrastructure. The challenges of 2023 are, in fact, opportunities for innovation, adaptation, and growth. In a world that is becoming more interconnected and data-driven every day, staying ahead of the curve is essential.
With Gartner’s projections in mind and the ever-increasing pace of change, it is crucial to emphasize the importance of continuous skills development.
As IT organizations and professionals navigate these trends, upskilling and embracing new roles will be pivotal to success.
In 2023, the future of digital infrastructure is calling us to adapt, innovate, and lead with resilience. The journey may be challenging, but the rewards are transformative.
As we navigate this exciting world of cloud, data centre, and edge infrastructure, we must remember that knowledge and proactive adaptation will be our guiding force.
We must stay informed, be agile, and keep a watchful eye on the horizon, for the world of technology never stops evolving.
The trends we have explored are just the beginning, and there is no doubt that the road ahead will be filled with exciting opportunities and uncharted territories. We must collaboratively embrace the future with confidence, and it will be our greatest ally in the years to come.
If you would like to understand our Cloud Computing and Cloud Migration approaches and strategies, please visit our website or book a free consultation with our Cloud Computing experts today.
Gartner Says Four Trends Are Shaping the Future of Cloud, Data Center, and Edge Infrastructure. (Gartner)
The technology landscape is constantly evolving and, staying ahead of the curve is crucial for leaders and businesses alike. As we approach 2024, several exciting tech trends promise to reshape industries and our daily lives. Tech leaders and companies must, however, carefully evaluate the impact these technologies may have and the several benefits they bring to the table.
Speaking of tech investments and the impact of new and emerging technologies, Bart Willemsen, Gartner VP Analyst said, “Technology disruptions and socioeconomic uncertainties require a willingness to act boldly and strategically enhance resilience rather than rely on ad hoc responses. IT leaders must ensure calculated risk and make reliable and durable investments to sustainably enable both internal and external value creation.”
In this blog, we will explore eight strategic tech trends and investments to watch out for in the coming year and beyond.
Democratized Generative AI
Democratized Generative AI aims to make Generative Artificial Intelligence technologies more accessible and user-friendly for a broad range of individuals and organizations. It will allow more people to benefit from the technology and contribute to its growth and development.
Democratization in this context means making this technology widely available and usable, breaking down barriers to entry that might have existed in the past. Enterprises can now access knowledge in a conversational style with rich semantic understanding through large language models.
Gartner predicts that by 2026, generative AI will significantly alter 70% of the design and development effort for new web applications and mobile apps.
For more understanding of Generative AI and Cybersecurity, please refer to our informative blog.
AI Trust, Risk And Security Management
AI is becoming increasingly accessible, and this has made it clear that AI Trust, Risk and Security Management (AI TRiSM) is critical. AI TRiSM offers various tools to help manage cybersecurity risks, including ModelOps, proactive data protection, AI-specific security, and risk controls for inputs and outputs to third-party models and applications.
According to Gartner, applying AI TRiSM controls by 2026 will help enterprises increase the accuracy of their decision-making by eliminating up to 80% of faulty and illegitimate information.
Artificial Intelligence Augmented Development
AI Augmented Development (AID) refers to the use of Artificial Intelligence (AI) and Machine Learning (ML) technologies to streamline and enhance the software development process. The primary objective of AID is to speed up software development while making it more efficient and accessible to a broader range of individuals, including those with limited programming experience.
Gartner predicts by 2027, 70% of professional developers will use AI-powered coding tools, up from less than 10% today.
The tools and platforms of AI Augmented Development are still in the process of evolution, and their impact on software development may vary depending upon the maturity of the AI technology being employed and specific use cases. Therefore, developers must recognize the potential benefits and limitations of AI in software development and select tools that align with their project goals and requirements.
Intelligent applications also referred to as smart or AI-powered applications, are software programs or systems that utilize artificial intelligence (AI) and machine learning (ML) technologies to improve their functionality and offer more advanced, data-driven, and automated features.
Gartner predicts by 2026, 30% of new applications will use AI to drive personalized adaptive user interfaces, up from less than 5% today.
Jim Hare, Gartner Distinguished VP Analyst, spoke about the key benefits of adopting intelligent applications and said, “Intelligent applications recommend or automate actions instead of just providing analysis, so they can drive improvements-including better personalization, more efficient use of resources, improved accuracy, increased automation, more finely grained responses, and decision support. Customers are increasingly demanding these types of intelligent outcomes.”
Continuous Threat Exposure Management (CTEM)
Enterprises can use Continuous Threat Exposure Management (CTEM) to assess the accessibility, exposure, and exploitability of their digital and physical assets systematically and consistently.
According to Gartner, by 2026, enterprises that prioritize their security investments based on a CTEM program will experience a two-thirds reduction in breaches.
CTEM assessments and remediations should align with business projects or threat vectors rather than infrastructure components to reveal vulnerabilities and unpatchable threats.
Machine customers, also known as custobots, are autonomous economic entities capable of independently engaging in negotiations and acquiring goods and services in return for payment. It is anticipated that by 2028, there will be 15 billion connected products with the capacity to act as customers, and this trend is expected to continue.
Gartner predicts that this surge will lead to trillions of dollars in revenue by 2030, surpassing the significance of the advent of digital commerce.
Strategic planning should involve exploring opportunities to support these algorithms and devices or developing new custobot entities.
Platform engineering is a multidisciplinary approach to designing, building, and maintaining the underlying technology platforms and infrastructure that support software applications, services, and systems. These platforms can range from cloud computing and server environments to application frameworks and development tools.
According to Gartner, by 2026, 80% of large software engineering organizations will establish platform engineering teams as internal providers of reusable services, components, and tools for application delivery.
Paul Delory, VP Analyst at Gartner, spoke about Platform engineering and said, “It has emerged in response to the increasing complexity of modern software architectures. Today, non-expert end users are often asked to operate an assembly of complicated arcane services. To help end users and reduce friction for the valuable work they do, forward-thinking companies have begun to build operating platforms that sit between the end user and the backing services on which they rely.”
Industry Cloud Platforms
Industry cloud platforms, or vertical cloud platforms, are specialized cloud computing platforms tailored to meet the unique needs and requirements of specific industries or business sectors.
By 2027, Gartner predicts that more than 70% of enterprises will use industry cloud platforms (ICPs) to accelerate their business initiatives, up from less than 15% in 2023.
Industry Cloud Platforms integrate SaaS, PaaS and IaaS services into a cohesive product offering to address industry-specific business needs. ICPs are created to cloud proposals specific to an industry and can be further customized based on organizational requirements.
For an in-depth understanding of Cloud Computing and Cloud migration strategies, please download our exclusive whitepaper resource.
The tech trends of 2024 promise to be both exciting and transformative. Embracing these trends can help IT leaders and businesses stay competitive and innovative in an ever-changing world. Whether it is the Democratized Generative AI, Industry Cloud Platforms, or any other trend, being aware of these developments will be crucial to navigating the tech landscape successfully in the coming year and beyond. So, stay informed, adapt, and be ready for the tech-driven future that awaits us in 2024.
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- Gartner Identifies Top 10 Strategic Technology Trends For 2024. BQ Prime
- Gartner Top 10 Strategic Technology Trends for 2024. Gartner