In the rapidly advancing era of Artificial Intelligence (AI), these advancements offer your organization the means to fortify itself, create value, and adapt to evolving customer expectations and business models. Some innovations are AI-driven, while others facilitate efficient and secure operations and growth. You may have already pioneered certain technologies, while others might be novel; however, all contribute to establishing the necessary infrastructure, governance, and tools for enhanced resilience and autonomic activities. When implemented effectively, these technologies provide advantages such as:

• Ensuring trust and confidence in the safe utilization of AI
• Facilitating sustainable activities within your operational ecosystem
• Providing dedicated technologies tailored for specific tasks, industries, and functions
• Boosting speed and productivity with minimal additional investment or effort
• Delivering increased value for both internal and external stakeholders

Adopting the actual value of these technologies is realized when these technological advancements align and contribute to achieving overarching business objectives. So, let’s explore in this blog the upcoming technology trends that you must look for in 2024 in the age of AI to prioritize your investments. The top strategic technology trends in 2024 are-

1. AI, Trust, Risk and Security Management (TRiSM)

   Security is a significant concern when using AI models in the system or all across the organization. Also, the increasing availability of AI underscores the importance of managing AI Trust, Risk, and Security, often denoted as TRiSM by Gartner. Without robust safeguards, AI models have the potential to generate escalating adverse outcomes, undermining the positive impacts they could otherwise facilitate.

   AI TRiSM encompasses essential tools for Model Operations (ModelOps), proactive data protection and security measures, and comprehensive monitoring of models and data. It also incorporates risk controls, particularly pertinent when utilizing third-party models. According to Gartner’s projections, enterprises adopting AI TRiSM are anticipated to significantly enhance decision-making accuracy, potentially eliminating up to 80% of misleading information by 2026.

2. Continuous Threat Exposure Management

   According to Gartner’s projections, organizations prioritizing security investments guided by a CTEM program are expected to experience a substantial two-thirds reduction in security breaches by 2026.

   Continuous Threat Exposure Management (CTEM) represents a systematic methodology enabling organizations to consistently assess and oversee the accessibility, exposure, and exploitation risk associated with their digital and physical assets. By aligning these methodologies with individual projects or threat vectors instead of solely focusing on infrastructure, enterprises can gain a holistic view of vulnerabilities, including those that may be unmatchable.

3. Sustainable Technology

   Gartner anticipates that by 2027, around 25% of CIOs will witness a correlation between their personal compensation and the impact of sustainable technology initiatives.

   Sustainable technology involves a set of digital solutions designed to facilitate ESG (Environmental, Social, and Governance) outcomes, fostering a lasting equilibrium in both ecological and human rights aspects. With growing apprehensions about the energy consumption and environmental implications associated with technologies such as AI, cryptocurrency, and cloud computing, organizations are under mounting pressure to enhance the efficiency, circularity, and overall sustainability of their IT practices. Additionally, sustainable technologies provide insights necessary for decision-making and improve overall performance.

4. Platform Engineering

   Regarding IT organizations, optimizing the developer experience and accelerating business value is the utmost priority. The practice of platform engineering involves building and operating self-service development platforms for internal use. As per the Gartner report, 80% of software engineering organizations will establish platform teams as internal providers of reusable services, components and tools for application delivery.

   Also, platform engineering accelerates developer’s abilities to independently run, manage, and develop their applications while ensuring reliability and security.

5. AI Augmented Development

   This pertains to leveraging machine learning, Generative AI, and other AI technologies to support software engineers in application design, coding, and testing tasks. Integrating AI in software development enhances developer efficiency and enables teams to meet growing demands for essential business software. These tools also give engineers more time to focus on strategic activities, such as application design and composition, by automating routine tasks.

6. Industry Cloud Platforms

   It’s a specialized platform for industries that integrates Software-as-a-Service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS) elements to deliver a product with customizable features like an industry data fabric a set of business capabilities, and tools for composition. These platforms can be adapted by organizations to suit their particular requirements. According to Gartner, over 70% of enterprises are expected to leverage industry cloud platforms for expediting business initiatives by 2027, a significant increase from the current usage of less than 15%.

7. Intelligent Applications

   Intelligence lies at the core of intelligent applications, as defined by Gartner. It refers to the capacity to autonomously and appropriately respond through learned adaptation. This form of intelligence serves to enhance the efficiency and dependability of automated and augmented tasks, ultimately leading to the delivery of more dynamic user experiences. Technologies like Generative AI can truly make apps more intelligent and transform the experience of customers, users, developers, and owners. Additionally, AI can add predictions and allow organizations to add data-driven decision-making into business processes.

8. Democratize Generative AI

   Enabling widespread access to Generative AI within an organization holds the promise of automating diverse tasks, elevating productivity, cutting costs, and unlocking avenues for growth. This transformative potential extends to reshaping the competitive landscape and altering how enterprises approach their work. The dissemination of information and skills across various roles and business functions is poised to follow, allowing a broad spectrum of individuals to harness the power of Generative AI. Furthermore, business users can easily access and utilize extensive internal and external information sources through natural language conversational interfaces.

9. Augmented Connected Workforce

   The imperative to enhance talent scalability propels the strategy of an Augmented-Connected Workforce (ACWF), designed to maximize the effectiveness of human workers. This approach leverages intelligent applications and workforce analytics to offer guidance and context, fostering a supportive environment for workforce experience, well-being, and skill advancement. The ultimate goal of this approach is to achieve business outcomes and positive stakeholder impact. According to Gartner, by 2027, a minimum of 25% of Chief Information Officers (CIOs) are expected to implement augmented-connected workforce initiatives, aiming to cut the time to competency by 50% for crucial roles.

10. Machine Customers

    Gartner has identified a new trend called “custobots,” which are nonhuman entities capable of independently negotiating and purchasing goods and services. They predict that by 2028, there will be 15 billion connected products with custobot capabilities, potentially generating trillions of dollars in revenue by 2030. Gartner advises organizations to consider supporting existing custobots or creating new ones as part of their strategic development.

With changing times, these technology trends can write a success story for any industry and business model. These technologies can change an organization’s picture of growth by implementing them to reduce the burden of human efforts for repetitive tasks. It’s time for organizations to evaluate their business strategy and look for ways to implement these trends right and add more business value to it.

Regardless of their size, every IT vendor realizes they need to invest in advanced RPA and intelligent automation solutions. All smaller IT vendors seek to future-proof themselves for the upcoming bot revolution but are confined due to lean budgets. And, the bloated RPA packages with bulked-up rates have worsened the situation for them. Such over-injected packages are unnecessarily heavy on the pockets and result in non-productivity due to the increasing bot-idle time. These have made RPA adoption a distant dream for all smaller IT vendors with bite-size appetites and bootstrap funds.

But, who deserves RPA affordability more than these small IT vendors? They are indeed the actual innovators determined to drive the future of the tech industry.

AutomationEdge thrives on the strong mission of making RPA affordable for all, and small IT vendors form a huge unmissable chunk of the target. AutomationEdge has recently launched its ingenious RPAaaS pricing model, which is focused on justifying each penny spent on RPA as a must-have technology across diverse industries. RPAaaS encourages the smaller IT vendors to start small with their RPA mission but continues to dream big.

The RPAaaS pay-as-you-go pricing model allows the customers to pay only for the bot minutes they use. So, the IT vendors will now be free from the confusing pricing models with add-on hidden service charges. RPA is dynamic, and no ‘one-size-fits-all’ package can be offered, as the smaller businesses will never have the requirements even slightly-close to an IT giant.

The RPAaaS pricing model empowers the smaller IT vendors with:

• Transparent subscription pricing
• Access up-to-date environments
• Access open-source environments
• Over 100 out of box connectors

[Also Read: Start Small but Dream Big with RPA Pay As You Go Automation]

So, AutomationEdge’s RPAaaS model is all set to bring about a massive revolution across the IT industry by delivering:

• Unimaginable flexibility through the pay-as-you-go pricing model
• Quickest ROI realization ever
• Fastest turn-around across the entire industry
• Infinite scalability in the cloud-based deployment
• Self-reliance by enabling easy deployment without the IT support
• Robust security infrastructure

The RPAaaS pricing model can actually be claimed to be tailor-made as per the requirements of such smaller IT vendors. And that’s the beauty of the RPAaaS innovation – it fits perfectly across the industry-wide RPA requirement, regardless of the peculiarity of their demand.

So, for all the small IT vendors dreaming of living their RPA mission, they can now start their long-awaited journey with AutomationEdge’s RPAaaS model!

Reach out to us for more information on RPAaaS

RPA has been the biggest game-changer across the IT industry, as new players with innovative solutions and differentiated pricing continue to bombard customers. However, with over 50 players across the industry offering related solutions with bare minimum deviation, enterprises are confused with the flood of pricing for RPA tools.

Prospects struggle with price comparison for RPA tools, as the models might function on concurrent runtime (often referred to as a bot), process flows, or per transaction. Hence, predicting demand for utilization became cumbersome, further elongating the buying cycle.

Especially for the customers not aware of the RPA industry, the roadblock became bigger considering the implementation, maintenance, and updating issues of on-premises orchestrators for bot management. Such situations disable them from justifying the RPA ROI or the utility offered by the RPA solution.

AutomationEdge brings an end to your pricing woes by launching the industry’s first RPA as a Service (RPAaaS) – Pay As You Go automation solution. No more confusion; just pay for what you consume.
Every prospect is unique, and their requirements are peculiar. This pricing model is created to resonate with the client’s vision. The driving force behind this new league of thought is simple – ‘pricing should justify the use.’

RPA Consumption-based Pricing Benefits

• Flexible pay-as-you-go pricing – No bulky annual subscriptions or complicated pricing options; we offer simple bot minutes per use calculations to relieve you from all unnecessary overhead charges.
• Quick ROI Realization – Need-based deployment of RPA solutions guarantee real-time ROI realization with instant business value delivery by eliminating high TCO due to maintenance, implementation, adoption, and training cost.
• Faster Turnaround – Investing in consumption-based pricing for the RPA model empowers clients with the flexibility and speed of cloud automation. In addition, instant web-based deployment allows automation to initiate at any time, while intuitive consumer-like interfaces enable users with various skill acquisition for quick learning and automation.
• Infinite Scalability – RPA on Cloud guarantees near-infinite scalability with cloud-based deployments allowing users to scale as per the need of the hour.
• Deploy without IT – No more dependency on IT as our instant web-based deployment models with customer-centric, intuitive interfaces allow users with differentiated skill sets to learn quickly and become automation experts.
• Enhanced Security – Though RPA as a Service model focuses on enhancing the ease and comfort of the customer, it in no way misses out on the security prerequisites. AutomationEdge is hosted on AWS cloud, but not limited to AWS only. It is also compliant with international security standards.

Conclusion:

Automation is the key to the future, and all businesses across industries have the right to access it. And, AutomationEdge’s innovative RPAaaS Pay as You Go model bridges the gap and makes intelligent automation affordable and accessible to all.

So let’s uncomplicate and sign up today for AutomationEdge RPAaaS – Pay As You Go model! See all pricing plans here